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Setiyawan, Bayu Aji, Sri Siswanti, and Muhammad Hasbi. "Metode Analitychal Hierarchy Process Dan Simple Multi Attribute Rating Technique Sebagai Penunjang Keputusan Pemilihan Supplier." Jurnal Ilmiah SINUS 18, no. 2 (July 6, 2020): 63. http://dx.doi.org/10.30646/sinus.v18i2.475.
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Process of choosing a supplier in Sukoharjo has not used the application program in making the decision but still use the manual way in writing. In addition, in conducting the selection of suppliers conducted by the HRD section is still subjective so that the results obtained in the selection of suppliers are less valid because in selecting HRD suppliers only choose based on price criteria, where If there is a supplier that offers the lowest price then the supplier will be chosen as a supplier in Sukoharjo. The purpose of the research is to build and implement a decision support system that is useful for the selection of suppliers in Sukoharjo using the method of Analyitychal Hierarchy Process (AHP) and Simple Multi Attribute Rating Technique (SMART). Where AHP method to calculate the weight of the criteria and SMART method to calculate the supplier's alignment. With testing black box system is already running according to the function and for the results of the validity test get the test value results in the category very good with a percentage of 80%.
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Alldredge, Dallin M., Yinfei Chen, Steve Liu, and Lan Luo. "The effect of credit rating downgrades along the supply chain." Review of Accounting and Finance 21, no. 1 (December 14, 2021): 1–31. http://dx.doi.org/10.1108/raf-10-2020-0295.
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Purpose This study aims to examine the information transfer effects of customers’ credit rating downgrades on supplier firms. Design/methodology/approach In this study, the authors use suppliers’ cumulative abnormal returns around customers’ credit rating downgrade events to identify how shocks to customer credit impact supplier equity prices. The authors also incorporate ordinary least squares and weighted least squares regressions regression analysis of the determinants of supplier market response to customer downgrades. Findings The authors find that customer credit rating downgrades present significant negative shocks to the stock prices of supplier firms. Moreover, the authors show that the information transfer effects are determined by both firm- and industry-level factors, including the market anticipation of downgrades, the strength of the customer–supplier linkage, the industry rivals’ reactions to the downgrades and investor attention. The authors also find that the likelihood that a supplier will receive a rating downgrade is significantly higher following its primary customer firm’s downgrade. Originality/value To the best of the authors’ knowledge, this paper is the first to explore the information transfer effects of credit rating downgrades on primary stakeholders within the supply chain. The authors document that customer–supplier networks have valuable implications for the spillover effect across debt and equity holders. Information about customers’ financial stress is incorporated into suppliers’ equity prices outside of the context of customer bankruptcy.
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Green, Ronald, Aivars J. Lelis, and Franklin L. Nouketcha. "Effects of Pulsed and DC Body-Diode Current Stress on the Stability of 1200-V SiC MOSFET I-V Characteristics." Materials Science Forum 1004 (July 2020): 1027–32. http://dx.doi.org/10.4028/www.scientific.net/msf.1004.1027.
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1,200-V and 1,700-V SiC power MOSFETs from multiple suppliers were subject to dc and pulsed-current stress of the body-diode. Three of the five suppliers of 1,200-V devices evaluated showed no significant bipolar degradation, but the other two supplier’s devices showed varying degrees of degradation due this bipolar phenomenon. Electrical results of newly released 1,700-V devices from two suppliers showed significant degradation in the body-diode and MOSFET I-V characteristics following both dc and pulsed-current stress of their body-diodes. The electrical results presented in this work are consistent with basal plane dislocations (BPDs) that form stacking faults during forward conduction of the body-diode. Significant drift in the body-diode forward voltage and MOSFET on-resistance indicates that a much higher BPD density may be present in 1,700-V devices in comparison to the more mature 1,200-V device offerings. The likely presence of BPDs can lead to significant reliability issues in some modern SiC power MOSFETs, and their distribution seems to vary across suppliers and among devices with the same rating and from the same supplier. These differences are likely due to variations in wafer and device processing among suppliers and within a given product line from a single supplier.
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Kamble, Avinash G., Pritam S. Kalos, K. Mahapatra, and Vishal A. Bhosale. "Selection of raw material supplier for cold-rolled mild steel manufacturing industry." International Journal for Simulation and Multidisciplinary Design Optimization 13 (2022): 16. http://dx.doi.org/10.1051/smdo/2022004.
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Appropriate supplier selection is important in success of every manufacturing industry. Improper supplier selection causes an adverse impact on functioning and development of any organization. Evaluating available suppliers and selecting most suitable supplier is very important task of procurement management. Theses selection problems can be solve using decision making methods. These methods are used to find most preferred alternative from given set of alternatives based on different attributes. The aim of the present work is to select raw material supplier for cold-rolled mild steel manufacturing industry using selected three decision making methods such as complex proportional assessment, operational competiveness rating analysis and preference selection index, etc. The selection is made among five suppliers based on five attributes viz: performance rating, productivity, yield, cost and lead time. The analytical hhierarchy process is used for determining weight of the attributes based on relative importance of each attribute which can have a great impact on the final solution. It is found from the ranks obtained using selected three methods that supplier S1 is best and supplier S5 is worst among the others alternatives. It is also observed that the rankings of suppliers has some deviations in the rankings due to different mathematical approaches used in these three selected methods. The proposed methods help to evaluate and rank different raw material suppliers for manufacturing industries.
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Delina, Radoslav, Mária Michňová, Peter Húska, and Ján Spišák. "The Role of Supplier Quality in e-Procurement Negotiation." Quality Innovation Prosperity 24, no. 1 (April 1, 2020): 29. http://dx.doi.org/10.12776/qip.v24i1.1388.
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<p><strong>Purpose:</strong> The purpose of this study is to examine the significance and the role of supplier rating as a formalised supplier quality measure to achieve better- negotiated prices and to identify price premium resulting from improved rating.</p><p><strong>Methodology/Approach:</strong> Data from real B2B environment of electronic reverse auction SW solution ProeBiz were obtained and processed. Data from the reverse rating approach were used where the default rating value is 1 and improvements of rating lead to decreasing the rating value. Except standard descriptive statistics, non-parametric correlation and Kruskal-Wallis tests, the knowledge discovery techniques by decision trees CHAID algorithm were used.</p><p><strong>Findings:</strong> From our empirical research results, there is the evidence of a significant positive relation of supplier quality or rating improvements on a negotiated price for suppliers. Improving rating from the default value (1.00) to (0.98-0.95) can lead to better- negotiated prices for suppliers in English auction expressed as price premium in the value of 4%.</p><p><strong>Research Limitation/implication:</strong> Research has several limitations, esp. in the size of the sample and sectorial view as the research is based on data from construction, electro-mechanics and logistics sector.</p><strong>Originality/Value of paper:</strong> The paper is original and not published in other publications.
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Sepadyati, Nova. "An Exploration of Risks Involved in Managing Supplier Portfolio in Multinational Companies Operating in Indonesia." Jurnal Teknik Industri 21, no. 2 (December 16, 2019): 79–90. http://dx.doi.org/10.9744/jti.21.2.79-90.
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Purpose -- The purpose of this qualitative study is to find out how companies manage their relationship with different suppliers to ensure their performance. The aim of the research is to understand how supplier portfolio affects companies’ decision both in selecting and managing the relationship with their suppliers.Design/methodology/approach -- A case study approach is employed to undertake the research, where data collected from semi-structure interviews and companies’ reports.Findings -- Presents indications from a study of three MNCs in FMCG sector in Indonesia regarding their practices in managing risks involved in supplier portfolio. Supplier evaluation criteria still limited on operational criteria, and supplier selection is influenced by politics and buyer’s previous experience. Key risks perceived by companies mainly regarding unperformed suppliers as expected and supplier’s opportunistic behavior, and unstable economic/political condition. Using portfolio model, current relationship with their suppliers is mapped. Most of the companies have not aligned the type of their relationship with the appropriate type of contract and performance measurement. Moreover, a formal supplier rating has not found in all companies, let alone supplier development initiativesResearch limitations -- There are several limitations of the research approach including researcher’s personal bias, limited access to companies and time constraints.Practical implications -- The research findings highlight the implications of applying relationship portfolio model in a practical setting. As well as identifying the key risks in the relationship, the research highlights strategies such as periodic bidding, gaining updated information about suppliers, and setting median price.Originality -- There have not been any studies regarding risk management in a buyer-supplier relationship in MNCs from developed countries operating in emerging country, particularly in Indonesia. The findings have given the first explanation of what companies perceived as key risks in managing their supplier portfolio in the specific context.
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Keller, Katalin, Balázs Kocsi, and István Budai. "Evaluation of Suppliers at A Steel Structure Manufacturer." Műszaki Tudományos Közlemények 9, no. 1 (October 1, 2018): 111–14. http://dx.doi.org/10.33894/mtk-2018.09.23.
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Abstract In today’s world, where competition is becoming increasingly prominent, companies need to focus on several aspects in order to be successful in their operations. Purchasing is essential to achieving this goal, so suppliers can be evaluated as well. A new approach is created based on the QFD method for evaluating suppliers, which can be quickly and easily performed, even without the help of a computer. This method was tested in a company based in a North Eastern Hungarian city. Firstly, suppliers were selected by ABC analysis and then the expectations were defined and compared based on the order of their preference matrix. The three categories were A, B and C, one supplier achieved a place in the best category, two suppliers a place in the second category, five suppliers joined the third category. Furthermore, Suppliers were categorized by Kraljic matrix. The supplier rating which was based on the QFD (Quality Function Deployment) method, allows analysis of the performance of a given supplier in an easy way within the company and to develop them over the long-term in order to make the company more successful based on the results of combined work.
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Singpurwalla, Nozer D. "A Probabilistic Hierarchical Classification Model for Rating Suppliers." Journal of Quality Technology 31, no. 4 (October 1999): 444–54. http://dx.doi.org/10.1080/00224065.1999.11979950.
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Yazdani, Morteza, Prasenjit Chatterjee, Dragan Pamucar, and Manuel Doval Abad. "A risk-based integrated decision-making model for green supplier selection." Kybernetes 49, no. 4 (May 31, 2019): 1229–52. http://dx.doi.org/10.1108/k-09-2018-0509.
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Purpose Supply chain (SC) environment is surrounded by risk variables. This issue is regarded as an emerging and strategic problem which must be resolved by SC executives. The ability to measuring green supplier’s performance and affecting risk variables to demonstrating effective suppliers list has a potential contribution to be investigated. This paper aims to develop a decision-making model to assess green suppliers under legislation and risk factors. This leads to fewer disruptions in managing the SC and its impact to further improvement. It also presents research concepts forming a new approach for identification, prediction and understating relationship of supply risk. Design/methodology/approach At primal stage, different risk factors that influence green suppliers’ performance are indicated and their relationship is analyzed using decision-making trial and evaluation laboratory (DEMATEL) method. At the same time, failure mode and effect analysis is used to determine risk rating of each supplier. Finally, the evaluation based on distance from average solution (EDAS) method ranks suppliers and several comparisons and analysis are performed to test the stability of the results. The approaches include comparison to technique for order performance by similarity to ideal solution, multi-attributive border approximation area comparison, Vlse Kriterijumska Optimizacija I Kompromisno Resenje and complex proportional assessment methods, followed by analysis of rank reversal, weight sensitivity analysis and effect of dynamic metrics. Findings A real-time case study on green supplier selection (GSS) problem of a reputed construction company of Spain has been presented to demonstrate the practical aspects of the proposed method. In practice, though organizations are aware of various risks from local and global suppliers, it is difficult to incorporate these risk factors for ranking the suppliers. This real-case application shows the evaluation and incorporation of risk factors into the supplier selection model. Practical implications The proposed multi-criteria decision model quantitatively aids managers in selecting green suppliers considering risk factors. Originality/value A new model has been developed to present a sound mathematical model for solving GSS problems which considers the interaction between the supplier selection risk factors by proposing an integrated analytical approach for selecting green suppliers strategically consisting of DEMATEL, FMEA and EDAS methods.
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Nedeljković, Miroslav, and Boro Krstić. "Application of Multi-Criteria Decision-Making Methods for Supplier Selection in an Agricultural Enterprise." АГРОЗНАЊЕ 19, no. 2 (July 4, 2018): 79. http://dx.doi.org/10.7251/agren1802079n.
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In today's turbulent market conditions, the selection of suppliers in an agricultural enterprise constitutes a primary function, and the entire supply chain with the necessary raw materials and intermediate goods plays an important role in the day-to-day functioning of the economic entity in this field. In order to successfully solve the problem of choosing a supplier, the decision maker uses the methods of multi-criteria analysis, and the corresponding software support. The subject of research in this paper is the selection of mineral fertilizer suppliers in the agricultural enterprise using the AHP methodology, which is one of the most commonly applied methods of multi-criteria analysis today. The aim of the research is to rank suppliers on the basis of the set criteria, and a supplier with the highest rating was selected for the supplier of mineral fertilizer as the observed enterprise.
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SNOW, JEFFREY M. "Rating Quality and Selecting Suppliers Using Taguchi Loss Functions." Naval Engineers Journal 105, no. 1 (January 1993): 51–57. http://dx.doi.org/10.1111/j.1559-3584.1993.tb02706.x.
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Hruška, Roman, Petr Průša, and Darko Babić. "THE USE OF AHP METHOD FOR SELECTION OF SUPPLIER." TRANSPORT 29, no. 2 (May 30, 2014): 195–203. http://dx.doi.org/10.3846/16484142.2014.930928.
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To increase flexibility in today’s global marketplace is needed to remain competitive and respond to rapidly changing markets. From that point of view, supplier selection represents one of the most important functions to be performed by the purchasing department. The supplier selection is a multi-criterion problem which includes both quantitative and qualitative criteria. In order to select the best suppliers, it is necessary to make a trade off between these criteria. The article deals with supplier selection using the Analytic Hierarchy Process (AHP). AHP provides a framework for making effective decisions in complex decision situations (e.g. vendor selection), helps to simplify and accelerate the natural process of decision making. AHP is a method of decomposition of complex unstructured situation into simpler components, thus creating a hierarchical system problem. The paper describes the general design of model supplier selection using the AHP with an application of the proposed model in a manufacturing company that selects a suitable supplier of three potential suppliers. The aim of this paper is to understand the strategic operating decision area of the supplier selection process and to aid decision makers with varying degrees of importance to reach consensus in rating alternative suppliers.
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Bera, Ashoke Kumar, Dipak Kumar Jana, Debamalya Banerjee, and Titas Nandy. "Multiple-criteria fuzzy group decision-making with multi-choice goal programming for supplier selection: A case study." Discrete Mathematics, Algorithms and Applications 11, no. 03 (June 2019): 1950029. http://dx.doi.org/10.1142/s1793830919500290.
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In today’s highly turbulent and competitive environment, the success of the organization depends on the performance of its suppliers. However, supplier selection problems are complex as they involve a large number of criteria and, frequently, some of the criteria cannot be evaluated precisely. Moreover, fluctuations of supplier performances and unknown information always exist in real-world decision-making. It is a complex multiple-criteria decision-making (MCDM) problem as it involves a trade-off among various criteria with vagueness and imprecision and also involves a group of experts with diverse opinion. Therefore, to make more practical decisions, this paper is intended to propose an integrated technique for order preference by similarity to ideal solution (TOPSIS) in fuzzy environment with multi-choice goal programming (MCGP) to handle the supplier assessment and order allocation for a battery manufacturing organization. Using linguistic variables, the decision-makers assess the rating of suppliers as well as the importance of various factors. Linguistic variables are expressed in trapezoidal fuzzy numbers (TrFN). Fuzzy-TOPSIS method is proposed to obtain the rank of suppliers and MCGP method is used to allocate suitable orders to the selected suppliers. A case study is implemented to find the applicability and validity of the proposed model. Finally, sensitivity analysis is performed to observe the effect of weights of criteria on supplier evaluation problem.
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Ramayanti, Gina, and Hidayatul Ulum. "Sistem Penentuan Supplier Kawat Las Dengan Metode Analitycal Hierarchy Process (AHP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)." Jurnal Sistem dan Manajemen Industri 1, no. 1 (August 5, 2017): 12. http://dx.doi.org/10.30656/jsmi.v1i1.166.
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Supplier selection is being a strategic activity, especially when the supplier is supplying materials that will be used in the long term. In the world of construction, one part of the supply chain which has a significant contribution to the improvement of the company's effectiveness is the efficiency in the procurement of materials (raw materials) from suppliers. In the research found the problem of 50 TON of welded wire failed. This study aims to determine the criteria based on the company needs in determining the supplier of welding wire and provide the ranking of suppliers as a material consideration in determining the supplier. The study used the Analytical Hierarchy Process (AHP) method for the selection of criteria and the Technique For Order Performance By Similiar To Ideal Solution for rating or evaluating alternative suppliers. Based on the results of AHP calculation we get the weight of each criteria as follows, for the quality of 0.0644, the price 0.056, the delivery time of 0.158, the quantity 0.053, the response to the claim of 0.093, and from the criteria are made reference to the calculation of vendor selection using TOPSIS. Results obtained supplier S2, i.e., PT.Esabindo Pratama ranked first as a priority supplier with a preference value of 0.322. Excellence which is owned by supplier S2 (PT.Esabindo Pratama) are the criteria of quality, price, quantity
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Santos, Gilberto, Federica Murmura, and Laura Bravi. "Developing a model of vendor rating to manage quality in the supply chain." International Journal of Quality and Service Sciences 11, no. 1 (March 18, 2019): 34–52. http://dx.doi.org/10.1108/ijqss-06-2017-0058.
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PurposeThis paper aims to present a model developed by an Italian company, Gamma, that produces technologically high-precision components, with the objectives of defining a model of vendor rating to improve companies’ management and quality within the supply chain.Design/methodology/approachThe research has been developed through a qualitative approach, based on a longitudinal single case study. Two semi-structured interviews have been carried out with the company’s Quality Manager in September 23 and October 31, 2016. Relevant secondary data were also used, such as company reports and their website.FindingsOwing to the implementation of the Gamma model, the company is committed to the prudent selection of its partners and in establishing lasting relationships of mutual benefit with them. The termination of the relationship with suppliers is therefore rare; monitoring periods and improvement of suppliers are preferred. The Gamma model and its suppliers jointly undertake corrective actions that have to be implemented within a defined time frame.Practical implicationsEstablishing criteria for an objective evaluation of suppliers could be directly or indirectly related to the quality of the final product, and greatly affects the same. This model has been effective for the identification of less performing suppliers that have to be subjected to improvement and audit plans.Originality/valueThis model allows the assignment of penalties or rewards, identifies which suppliers to direct audits and improvement plans, with which to end the relationship and with which to establish a relationship of integration and direct involvement.
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Huang, Xiao Rong, Shun Sheng Guo, and Xiao Bing Yu. "Supplier Evaluation Based on Mobile Agent and Information Credibility." Advanced Materials Research 97-101 (March 2010): 3587–92. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.3587.
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Supplier evaluation is the most vital action of supplier selection. Supplier evaluation data is divided into two kinds: the qualitative and the quantitative. In this study, it proposes through using mobile agent to obtain quantitative data from suppliers and expert rating methods to get qualitative data. To deal with the inconsistency of time period about getting these two types data, a new method is proposed to process the qualitative data by the establishment of information credibility about evaluation data. The obtained results show that the proposed method is well suited for supplier evaluation to shorten the evaluation cycle and enhance the timeliness.
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Hulevich, Y. N., and G. M. Nalivaiko. "Prospects for the use of IT for the selection and assessment of suppliers of materials and components." Doklady BGUIR 19, no. 5 (August 26, 2021): 61–69. http://dx.doi.org/10.35596/1729-7648-2021-19-5-61-69.
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The purpose of this work is to use information technology to help management decisions. The crux of the problem is the choice of suppliers of materials and components for mechanical engineering companies. Periodically, in the procurement process, suppliers should be assessed on a number of criteria. The importance of rating is due to the fact that in today's market there are a large number of suppliers of the same material resources. Purchase is made from the most competitive suppliers, constantly confirming their status as a reliable business partner. The company developed a method of evaluating suppliers based on the system of management of the bases of the bath Microsoft Office Access. MS Access works in the Windows operating environment and allows users to organize a local database (DB). The local Access database has its own tables, forms, reports and other DB facilities of the organization with a relatively small amount of data. With the help of the scoring method, suppliers are ranked by their level of reliability. The relationship is terminated with a supplier that does not meet the required level of reliability. In this way, management solutions for logistics of supply receive a tool to hang the efficiency and get good results of the enterprise, to achieve its market stability.
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Wardana, Afrizal, Silvana Maulidah, and Anisa Aprilia. "Supplier Performance Evaluation on Regular Raw Material Suppliers by Applying AHP and TOPSIS Approaches (Evidence from the Apple Agroindustry)." HABITAT 33, no. 1 (April 1, 2022): 64–73. http://dx.doi.org/10.21776/ub.habitat.2022.033.1.7.
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The supplier is one of the supply chain entities that serves as a provider of raw materials, and poor supplier performance will harm the company's smooth production system. This study aims to identify supplier criteria, analyze priority weights, and evaluate supplier performance in the apple Agro-industry. Respondents in this study were business owners chosen through the judgmental sampling method. The Analytical Hierarchy Process (AHP) method was used to test the priority weights of supplier performance criteria, while the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method was used to test the priority weights of supplier performance priorities. The results showed that the service criteria received the highest priority weighting criteria, followed by price, quality, and delivery. Good service will positively impact integration, making it easier to achieve an effective and efficient supply chain. Meanwhile, in terms of the company's fixed supplier performance priorities, supplier 1 received the highest rating, followed by suppliers 2 and 3. Thus, supplier performance is quite good, but several things could be improved, specifically fruit size and responsiveness to supplier 3 and prices to suppliers 1 and 2.
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Singh, Rohit Kumar, Surendra Kansara, and Niraj Kumar Vishwakarma. "Vendor rating system for an Indian start-up: a combined AHP & TOPSIS approach." Measuring Business Excellence 22, no. 3 (August 20, 2018): 220–41. http://dx.doi.org/10.1108/mbe-07-2017-0038.
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Purpose The aim of this paper is to identify the criteria that are used for vendor or supplier rating, prioritize these criteria based on the industry inputs and develop a vendor rating model. The data were collected from an Indian start-up working in product development using three-dimensional printing (3DP). Design/methodology/approach Factors of importance for vendor rating were identified through industry visits, and interacting with the industry experts from the start-up under consideration, substantiated by extensive review of relevant literature. A questionnaire-based survey was carried out to further narrow down the factors important to the industry, prioritizing them with a pairwise comparison analysis as envisaged in the analytical hierarchy process (AHP) technique along with the calculation of consistency ratios. Technique for order preference by similarity to ideal solution (TOPSIS) methodology was further used for data aggregation. Findings This research brought forward the criteria that are useful for rating vendors or suppliers with reference to 3DP sector. Originality/value This paper integrates AHP and TOPSIS to solve a multi-criteria vendor rating problem. The attempt was made to make vendor rating process universal so that it can encompass all the vendors of the firm.
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Dumitrascu, Oana. "Criterial suppliers’ evaluation model aimed at SCM performance, production and engineering process’s improvement." Balkan Region Conference on Engineering and Business Education 2, no. 1 (December 20, 2017): 45–51. http://dx.doi.org/10.1515/cplbu-2017-0007.
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Abstract This paper focuses on the suppliers’ evaluation and selection and aims to develop a criterial model of suppliers’ evaluation as an innovative method for engineering and business education. This new method comes with the purpose of organisational supply chain management performance growth, by improving the entire supply chain system and engineering process, and bringing contribution to the specialty literature in this field. The research methodology is based on qualitative research. The bibliographic research from various secondary sources is used, such as diverse books, scientific articles, reports and information material. In order to achieve a high performance in an organisation it is necessary to monitor and control the procurement process. Certain gaps have been identified in identifying a supplier rating and selection system based on both logistical, financial, price or quality aspects. As an own contribution, this paper proposes a criterial model of evaluating and selecting suppliers, based on specific aspects related to the product, services, delivery and to the financial situation. The motivation of choosing this model is found in its capacity of noticing the negative aspects regarding the relationship between an organisation and its suppliers and finding out the improvement aspects, with a high impact on the engineering process’ and supply chain management’s improvement. The model offers the possibility to benchmark the suppliers, aspect which favours the potential collaboration with future suppliers.
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Jurová, Marie, and Ekaterina Sutormina. "Modern methods of evaluation existing suppliers and suppliers selected by customer for small and medium-sized companies." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 58, no. 6 (2010): 199–208. http://dx.doi.org/10.11118/actaun201058060199.
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On existing conditions on global market (almost identical quality, almost identical purchasing values) companies have to definite the total rating of importance of evaluative criteria. In post-crisis period the problem of suppliers’ evaluation is one of the biggest, because companies had to use all resources and all possibilities to develop their own business. Many authors wrote about collaborative planning and warehousing as one of possibilities to optimization work inside supply chain. For this paper define small and medium-sized enterprises (SME) as enterprises with the size of maximum 250 employers. In literature was read we couldn’t find information about own system of suppliers evaluation for small and medium-sized enterprises. SME can have some different types of business and in this case need the universal system of evaluation. The research of this paper is oriented on small and medium-sized enterprises with different types of business. The new theoretical universal method of calculation for evaluation existing suppliers for small and medium-sized enterprises will present in this paper. This theoretical method is based on average values. This method includes traditional evaluative criteria (quality, delivery time) and other (mobility of supplier, possibilities of new level of partnership). This method of evaluation can not be used for continual manufacture. New method can improve the total evaluation of supplier in small and medium-sized enterprises.
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LIAO, SEN-KUEI, KUEI-LUN CHANG, and TZENG-WEI TSENG. "OPTIMAL SELECTION OF PROGRAM SUPPLIERS FOR TV COMPANIES USING AN ANALYTIC NETWORK PROCESS (ANP) APPROACH." Asia-Pacific Journal of Operational Research 27, no. 06 (December 2010): 753–67. http://dx.doi.org/10.1142/s0217595910002983.
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In today's increasingly competitive business world, selecting and evaluating the suppliers is one of the most important activities of a company. In the Taiwanese TV industry, selecting optimal suppliers of programs is also vital. But few attempts have so far been made to address this specific point. After reviewing the literature, we collect criteria for the selection of a program supplier. Considering the interdependence among the selection criteria, the analytic network process (ANP) is applied to help Taiwanese TV companies to effectively select optimal program suppliers. To avoid the complicated computing process from additional pairwise comparisons of the ANP, we retain the 12 critical criteria according to the opinions of the 44 senior executives about the importance of criteria: Quality, On-time, Marketability, Reputation, Rating, Finance, Relationship, Attitude, Communication, Creativity, Price and Time. Subsequently, we discuss with senior executives to group these criteria into 4 perspectives to structure the hierarchy for the selection of program suppliers. According to the hierarchy based on 4 perspectives and 12 vital criteria, Taiwanese TV companies could select optimal program suppliers more effectively. Moreover, the practical application of the ANP presented in Section 4 is generic and also suitable to be exploited for Taiwanese TV companies.
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Sahu, Anoop Kumar, Nitin Kumar Sahu, and Atul Kumar Sahu. "Application of integrated TOPSIS in ASC index: partners benchmarking perspective." Benchmarking: An International Journal 23, no. 3 (April 4, 2016): 540–63. http://dx.doi.org/10.1108/bij-03-2014-0021.
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Purpose – In the rapidly changing business environment, companies must align with suppliers to streamline operations, as well as working together to achieve a level of agility beyond individual companies (Lin et al., 2006). Today’s more dynamic business environment increases the need for greater agility in supply chains, which increases both the importance and frequency of supplier/partner evaluation and benchmarking decision making. The purpose of this paper is to develop a multiple criterion appraisement index (model/module) for supplier/partner alternative firm benchmarking perspective under similar agile supply chain architecture. Design/methodology/approach – In this reporting, evaluation information against subjectivity (uncertain environment) indices has been transformed mathematical dimensionless numbers by fuzzy-based computation module. A new interval-valued fuzzy number set conjunction with modified “technique for order preference by similarity to ideal solution” methodology has been explored from benchmarking (ranking order of firm under similar criterion) point of view of supplier firms. Findings – In this context, a novel “fuzzy mathematical equation” has been developed in perceptive to compute the priority weights and appropriateness ratings of first-level measures which reduced the acquisition of supplementary priority weights and appropriateness ratings assessment in linguistic terms from group decision makers (DMs) for first-level indices. An empirical case study has been carried to ranking order the candidate partner/supplier alternative via collective index (CI) value. Lower value of “CI” reflected higher degree of performance extent. The authors found out the effectiveness and validity of proposed methodology for constructed appraisement module. Originality/value – This research work shall be valuable for that organization which volunteer to obtain the ranking order of partner/supplier alternative (benchmark) under similar agile supply chain architecture in accordance to group DMs’ comprehensive information for select best one supplier for own firm. In this reporting, a novel fuzzy mathematical equation has been developed in order to compute the important weights as well as priority rating of first-level indices/measure which reduced the supplementary important weights and priority rating assessment from group DMs in linguistic terms in order to obtain the measures rating and weights.
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Koos, Jessica A. "German-Language Websites Containing Information About Rare Diseases Lack Quality Indicators." Evidence Based Library and Information Practice 15, no. 4 (December 15, 2020): 182–84. http://dx.doi.org/10.18438/eblip29830.
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A Review of: Pauer, F., Litzkendorf, S., Göbel, J., Storf, H., Zeidler, J., & Graf von der Schulenburg, J.-M. (2017). Rare diseases on the Internet: An assessment of the quality of online information. Journal of Medical Internet Research, 19(1), e23. https://doi.org/10.2196/jmir.7056 Abstract Objective – To evaluate the quality of the information contained in websites about rare diseases and to determine if quality varies based on the supplier category of the website. Design – Questionnaire and content analysis. Setting – Germany Subjects – 693 German-language websites Methods – Websites were identified through a Google search: All 8,000 rare diseases (as listed on Orphanet) and their synonyms were entered into Google; the first 20 results for each disease were scanned for sites written in German. A questionnaire designed to measure the quality of information found on the websites was mailed to each identified website provider. For those who did not respond, the survey was completed by the authors using information from the site. A t test was used to examine differences in the quality of information among the types of information providers. Main Results – A total of 693 information suppliers were identified. The suppliers completed 17.7% of the surveys; the other 82.3% were completed by the authors. The majority of information providers were patient organizations/support groups (38.8%) followed by medical institutions (26.8%). Information provided by individuals had the lowest quality rating. There were no statistically significant differences between the quality of information supplied by patient support groups and medical institutions. The highest quality rating was provided by associations/sponsoring bodies. Conclusion – There is not much information available on the Internet regarding rare diseases. Patient support groups and organizations are the largest provider of information. The overall quality rating of information on rare disease websites was found to be low, particularly in areas of accessibility. Website providers should be made aware of how to produce websites of higher quality with greater accessibility.
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Bu, Zhiqiong, M. Prabhu, Ramyar Rzgar Ahmed, and Anoop Kumar Sahu. "Exploiting GWmZd Model by Exploring Knowledge-Based Grey-Holistic Technique for Sustainable Vendor Evaluation." Mathematical Problems in Engineering 2020 (November 21, 2020): 1–18. http://dx.doi.org/10.1155/2020/8970947.
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It is investigated that the thoughts of sustainability gained the momentum among researchers in the present era. The industrial empirical research survey proved that green operations, waste minimization strategies, and zero defect planning are three potential pillars in mapping the sustainability of supplier/vendor units. The authors built and proposed a grey knowledge-based green-waste minimizing and zero defect (GWmZd) sustainability appraisement hierarchical structural evaluation model/framework to production companies for assessing the sustainability ratio of their candidate suppliers/partners. Due to the uncertainty associated with the measures and metrics of the proposed model, the incomplete information is procured from a cluster of professionals’ vs GWmZd measures and metrics in the terms of the grey (except fuzzy) set. It is sensed by the prior literature survey that a few grey knowledge-based sustainability model are framed, but they were constrained to the individual first level layer without weight evaluation cum noncomparative analysis-based modern technique, and it is respected as a major research gap and challenge. To compensate the major research gap, the authors elected AHP and enabled AHP (analytic hierarchy process) to materialize and aggregate the assigned rating of each expert for evaluating weights of 2nd level metrics (overcoming the drawback of combined/group ratings). Later, the authors structured and proposed a new mathematical equation, assisted authors to evaluate the global weight of the first layer-three pillars-measures of the proposed model. Eventually, the authors constructed and fruitfully implemented a grey-holistic technique (merger of grey-MOORA-FMF fused with the dominance theory) on the model to compute sustainability index and score of suppliers. A production company is investigated to exhibit the application of the research work practically. The sustainability of supplier A1 is found the best than the residue of suppliers. The research forum can be explored by production companies to opt the feasible supplier under the proposed model. The conducted research has a value across the global production companies. The research forum can be explored by managers of production companies for benchmarking the performance of global suppliers under GWmZd and future advancing models along with grey-holistic technique fused with the dominance theory.
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Kozlova, D. Y., Y. V. Denisova, and V. F. Sopin. "METHODOLOGICAL APPROACHES TO CREATING AN EFFECTIVE SYSTEM OF INCOMING CONTROL AND PROCUREMENT MANAGEMENT." Kontrol'. Diagnostika, no. 277 (July 2021): 42–49. http://dx.doi.org/10.14489/td.2021.07.pp.042-049.
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A key component of the quality management system is the incoming quality control of raw materials, materials and components. The course of the further production process and the quality of manufactured products depend on the correctness of its implementation, the accuracy of compliance with all the necessary procedures. Another important aspect that is inextricably linked with incoming inspection is working with suppliers. In order to minimize costs and increase the effectiveness of actions, it is necessary to establish a stable and well-coordinated work on the supply of raw materials, materials and components. To accomplish this task, the enterprise must develop and approve a methodology for evaluating suppliers, which allows them to conduct a comprehensive analysis, choose the most reliable suppliers with a proven reputation and high performance. The research base is a machine-building enterprise – public joint-stock company “NEFAZ” (PJSC “NEFAZ”). The article identifies problem areas and suggests methods for their improvement. Based on the results of the study, a comprehensive methodology for assessing suppliers has been developed, which makes it possible to determine the rating of the supplier and, depending on this, to establish the type of incoming control. Possible types of effect from the introduction of this technique at the enterprise are considered.
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Karpova, Natalia, Sergey Noskov, Irina Toymentseva, and Elena Shvetsova. "Strategically supplier-oriented management in the procurement process of JSC “Russian Railways”." Problems and Perspectives in Management 16, no. 3 (July 5, 2018): 14–27. http://dx.doi.org/10.21511/ppm.16(3).2018.02.
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JSC “Russian Railways” is one of the world’s largest companies in the railway market. It ensures the safety and accessibility of transport in Russia, reduces the transport load on its economy. JSC “Russian Railways” is a company founded by the Russian Federation. In the conditions of the global financial crisis and limited budget resources, the search for ways to reduce the costs of its operation comes to the forefront. In the supply, there is a significant potential for increasing the efficiency of any company’s activity by saving on purchases in the case of choosing a key supplier that meets all customer’s criteria. In turn, the growing relevance in modern conditions is acquired by strategically supplier-oriented management in the process of meeting the needs and requirements of companies. In this regard, the article substantiates the need for strategically supplier-oriented management of commodity and material values in supply chains, systematizes supplier management strategies. The experience of procurement and selection of suppliers of goods, works and services for the needs of JSC “Russian Railways” was studied, a methodology was proposed for ranking criteria for the selection of products and suppliers in order of the decreasing significance value, allowing to expand the method of rating the existing and potential sources of supply.
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Keshavarz-Ghorabaee, Mehdi, Maghsoud Amiri, Mohammad Hashemi-Tabatabaei, Edmundas Kazimieras Zavadskas, and Arturas Kaklauskas. "A New Decision-Making Approach Based on Fermatean Fuzzy Sets and WASPAS for Green Construction Supplier Evaluation." Mathematics 8, no. 12 (December 10, 2020): 2202. http://dx.doi.org/10.3390/math8122202.
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The construction industry is an important industry because of its effects on different aspects of human life experiences and circumstances. Environmental concerns have been considered in designing and planning processes of construction supply chains in the recent past. One of the most crucial problems in managing supply chains is the process of evaluation and selection of green suppliers. This process can be categorized as a multi-criteria decision-making (MCDM) problem. The aim of this study is to propose a novel and efficient methodology for evaluation of green construction suppliers with uncertain information. The framework of the proposed methodology is based on weighted aggregated sum product assessment (WASPAS) and the simple multi-attribute rating technique (SMART), and Fermatean fuzzy sets (FFSs) are used to deal with uncertainty of information. The methodology was applied to a green supplier evaluation and selection in the construction industry. Fifteen suppliers were chosen to be evaluated with respect to seven criteria including “estimated cost”, “delivery efficiency”, “product flexibility”, “reputation and management level”, “eco-design”, and “green image pollution”. Sensitivity and comparative analyses were also conducted to assess the efficiency and validity of the proposed methodology. The analyses showed that the results of the proposed methodology were stable and also congruent with those of some existing methods.
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Mwalo Mathias, Amata. "Pattern of local participation in tourism supply business within Kisumu County and its implication on tourism economic impact on poverty." International Journal of Hospitality and Tourism Studies 2, no. 1 (June 2021): 42–52. http://dx.doi.org/10.31559/ijhts2021.2.1.4.
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The purpose of the study was to establish pattern of local participation in tourism supply business and its implication on local poverty reduction. The specific objective of the study included finding out the key local commodities that are important driver of tourism backward linkage with local economy of Kisumu County, establish differences in the average score profile among local suppliers and find out the main dimension along which they are separated. The study adopted across sectional and correlation design in which stratified random sampling of 106 tourism enterprises from a target population of 266 enterprises was obtained. Self – administered questionnaires were distributed to managers and collected by researcher. The first, second and third objectives were analysed using descriptive statistics, MANOVA and descriptive discriminant analysis respectively. It was found out that while poultry products, fish and vegetables were main commodities in the trade between local suppliers and tourist industry, fish, beef, and detergent were the most consumed commodities. Secondly, suppliers were different in their mean score profile by the value and quality of their supply, promptness in their delivery of supplies and in the longevity in commercial relationship with the tourist industry. Lastly, the suppliers were separated significantly along two main dimensions: The first dimension was interpreted to be efficiency and effectiveness, being represented by high value of weekly supply and high rating on promptness in making deliveries. The second dimension was experience, which was indicated by suppliers` education level and their longevity in the commercial relation with the tourist industry. The key contribution of the study is the creation of understanding of the main commodities driving tourism backward linkage with local economy and the factors which confer competitive advantage among local traders of Kisumu County in tourist industry.
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ULUTAŞ, Alptekin. "Supplier Selection by Using a Fuzzy Integrated Model for a Textile Company." Engineering Economics 30, no. 5 (December 14, 2019): 579–90. http://dx.doi.org/10.5755/j01.ee.30.5.20546.
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Supply chain management determining the competitive position of corporations in a rival and fast-changing environment is one of the favourite topics in engineering economics. Since the performance of suppliers affects the performance of the whole supply chain, the selection of a supplier is a significant problem in supply chain management. When solving a supplier selection problem, there are many criteria needed to be considered. Therefore, the supplier selection problem is a multi-criteria decision making (MCDM) problem. In the supplier selection process, most of the time, expert data is involved, and the judgement of experts includes ambiguous, imprecise and uncertain data. Thus, there are many methods to solve supplier selection issues by utilising fuzzy set theory, grey theory and rough theory to handle vagueness of a problem. This study also proposes a fuzzy model to solve this problem. In this study, an integrated fuzzy MCDM model including the Fuzzy Analytic Hierarchy Process (FAHP) and the Fuzzy Operational Competitiveness RAting (Fuzzy OCRA) will be proposed to solve supplier selection problem for a Turkish textile company. The FAHP is utilised to determine the weights of considered eight criteria and the fuzzy OCRA is used to rank five fabric suppliers concerning their performances on eight measures. This study is original and it contributes to the literature in two ways: first, this study proposes a fuzzy extension of the OCRA method and second, this study offers a new integrated fuzzy MCDM model consisting of the FAHP and the Fuzzy OCRA. By using a real case study of supplier selection problem, it is attempted to indicate the applicability of the new integrated fuzzy MCDM model for actual circumstances.
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Torres-Berru, Yeferson, and Vivian F. López Batista. "Data Mining to Identify Anomalies in Public Procurement Rating Parameters." Electronics 10, no. 22 (November 22, 2021): 2873. http://dx.doi.org/10.3390/electronics10222873.
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The awarding of public procurement processes is one of the main causes of corruption in governments, due to the fact that in many cases, contracts are awarded to previously agreed suppliers (favouritism); for this selection, the qualification parameters of a process play a fundamental role, seeing as due to their manipulation, bidders with high prices win, causing prejudice to the state. This study identifies processes with anomalies and generates a model for detecting possible corruption in the assignment of process qualification parameters in public procurement. A multi-phase model was used (the identification of anomalies and generation of the detection model), which uses different algorithms, such as clustering (K-Means), Self-Organizing map (SOM), Support Vector Machine (SVM) and Principal Component Analysis (PCA). SOM was used to determine the level of influence of each rating parameter, K-Means to create groups by clustering, semi-supervised learning with SVM and PCA to generate a model to detect anomalies in the processes. By means of a case study, four groups of processes were obtained, highlighting the presence of the group “null economic offer” where the values for the economic offer do not exceed 1%, and a greater weight is given to other qualification parameters, which include direct contracting. The processes in this cluster are considered anomalous. Following this methodology, a semi-supervised learning model is built for the detection of anomalies, which obtains an accuracy of 95%, allowing the detection of procedures where the aim is to benefit a particular supplier by means of the qualification assignment parameters.
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Adler-Milstein, Julia, and Crishyashi Thao. "Why real-world health information technology performance transparency is challenging, even when everyone (claims to) want it." Journal of the American Medical Informatics Association 27, no. 9 (September 1, 2020): 1462–65. http://dx.doi.org/10.1093/jamia/ocaa147.
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Abstract Crowdsourced ratings have driven increased performance transparency between consumers and suppliers. While many industries have benefitted from such transparency, crowdsourced ratings have struggled to scale in the healthcare domain. In theory, interoperability services offer an ideal setting for crowdsourced ratings: costs are high, performance is variable, and information asymmetries between provider organizations (customers) and vendors offering interoperability solutions exist. Via a Cooperative Agreement between the Office of the National Coordinator for Health Information Technology and University of California, San Francisco, we developed InteropSelect, a public website that allows crowdsourced ratings of interoperability service purchases. While we garnered broad engagement during the development process, the site failed to attract sufficient reviewers, which is fundamental to the success of crowdsourcing. Additional challenges included the lack of service commoditization that resulted in a complex rating form and lack of market dynamics that facilitated vendor engagement. Our lessons cast doubt on whether crowdsourcing and similar performance transparency efforts under the 21st Century Cures Act will succeed.
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Raflian, Ardean, Tiwuk Widiastuti, and Meiton Boru. "Application of Drug Supplier Decision Support System Using The Elimination Et Choix Traduisant La Realite (ELECTRE) Method." Jurnal Komputer dan Informatika 10, no. 1 (March 31, 2022): 96–105. http://dx.doi.org/10.35508/jicon.v10i1.6527.
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Pharmacies are decisive places in providing, distributing, and dispensing drugs need by the community. The high demand for drugs at the Crystal Farma Pharmacy Oebobo makes it difficult for pharmacists to choose more than one drug supplier. This study aims to build a decision support system for drug supplier selection. This system provides results in the form of recommendations for the best suppliers, which are taken into consideration by pharmacy managers. Application elimination et choix radiant la reality (ELECTR) method, using the criteria of price, discount, expiration date, stock, distance, and payment system for four drug suppliers. ELECTRE method resulted in the drug rating of Amoxicillin 500 Mg, namely PT. Indofarma Global Medika and PT. Enseval Putera Megatrading. In an experiment testing the calculation on the system using case data on as many as four types of generic drugs, namely Allopurnol, Amlodipine, Mefenamic Acid, and Paracetamol, the results of PT. Sapta Sari Tama a recommended for drugs Allopurinol and Amlodipine. At PT. Kimia Farma Trading & Distribution a recommended for Mefenamic Acid and PT. Marga Nusantara Jaya is recommended for Paracetamol medicine. In black-box testing, getting the results of the overall functional percentage of the system using nine testing techniques is 100% successful. In user acceptance testing (UAT) testing, the user satisfaction level of the questionnaire method is 94% of the total respondents, four people and two pharmacies, namely Apotek Crystal Farma Oebobo and Apotek Crystal Farma Kuanino
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Ng, Peh Sang, and Feng Zhang. "An Improved Hybrid Model for Order Quantity Allocation and Supplier Risk Exposure." International Journal of Fuzzy System Applications 5, no. 3 (July 2016): 120–47. http://dx.doi.org/10.4018/ijfsa.2016070107.
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This paper investigates the risk exposure arising from the supplier evaluation criteria of cost, quality, delivery, and flexibility. An integrated method of Fuzzy Decision Making Trial and Evaluation Laboratory (FDEMATEL) and Fuzzy Analytical Network Process (FANP), which is able to address interaction and feedback effects between the criteria and subjectivity in the decision rating, is used to generate the importance weights of the objectives for a network relationship problem. Different weights of the objectives are then incorporated into a Fuzzy Multi-Objective Programming (FMOP) model for determining the optimal order quantity allocated to the suppliers. The proposed method provides a more realistic decision making scenario by considering different importance weights of criteria from individual priority. Therefore, it provides a practical method to solve the real world problems. The validity of the proposed method is illustrated by a case study from a trading company.
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Barata, José, Osvaldo Quelhas, Helder Costa, Ruben Gutierrez, Valdir de Jesus Lameira, and Marcelo Meiriño. "Multi-Criteria Indicator for Sustainability Rating in Suppliers of the Oil and Gas Industries in Brazil." Sustainability 6, no. 3 (February 27, 2014): 1107–28. http://dx.doi.org/10.3390/su6031107.
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Schaltegger, Stefan, and Christian Herzig. "Managing Supplier Requirements with HSE Accounting The case of the Mechanical Engineering Company Bisma Jaya, Indonesia." Issues In Social And Environmental Accounting 5, no. 2 (December 31, 2011): 82. http://dx.doi.org/10.22164/isea.v5i2.60.
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As recent disasters in the offshore petroleum and other industries illustrate, managing HSE is particularly relevant for companies operating in high risk industrial sectors. HSE management systems support companies in minimising adverse health effects, injuries and environmental damages as well as in complying with legislation, standards and stakeholder expectations. Key elements are risk assessment and control through implementation of preventive and protective measures, the preparation of emergency situations and investigation of accidents. HSE management<br />systems have also become a common element of supply chain audits and management. To increase transparency in their supply chains and to reduce risks, large companies aim at aligning compliance of suppliers <br />with their health, safety and environment (HSE) goals and policy. This paper shows with the case of Bisma Jaya, an Indonesian mechanical engineering company, how accounting for HSE can support small and medium sized suppliers to meet the requirements of large international customers. This paper proposes a framework for HSE management accounting and examines the use of management accounting to improve<br />the HSE performance of an Indonesian company as a response to customer audit requirements. The company is a supplier of a large oil company and seeks for effective and efficient ways of HSE improvement. The paper unfolds benefits and limitations of narrow efficiency-oriented responses to rating systems and audits and highlights that efficiency considerations in HSE management are only partially useful and require complementing effectiveness considerations on HSE performance.<br /><br /><br id="tinymce" class="mceContentBody " />
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Pramanik, Dipika, Samar Chandra Mondal, and Anupam Haldar. "Resilient supplier selection to mitigate uncertainty: soft-computing approach." Journal of Modelling in Management 15, no. 4 (January 2, 2020): 1339–61. http://dx.doi.org/10.1108/jm2-01-2019-0027.
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Purpose In recent years, determining the effective and suitable supplier in the supply chain management (SCM) has become a key strategic consideration to the success of any manufacturing organization in terms of business intelligence (BI), as many quantitative and qualitative critical factors are measured from big data. In today’s competitive business scenario, the main purpose of this study is to determine suitable and sustainable suppliers during supplier selection process is to reduce the risk of investment along with maximize overall value to the customer and develop closeness and long-term relationships between customers and suppliers to build a resilient SCM to mitigate uncertainty for automotive organizations. Design/methodology/approach As these types of decisions generally involve more than a few criteria and often necessary to compromise among possibly conflicting factors, the multiple-criteria decision-making becomes a useful approach to solve this kind of problem. Considering both tangible and intangible criteria, the aim of this paper is the presentation of a new integrated fuzzy analytic hierarchy process and fuzzy additive ratio assessment method with fuzzy entropy using linguistic values to solve the supplier selection problem to build the resilient SCM under uncertain data. Fuzzy entropy is used to obtain the entropy weights of the criteria. Findings Organizations gather massive amounts of information known as BD on the basis of historical records of uncertainties from several internal and external sources to manage uncertainty to improve the overall performance of organizations using BI strategy for analyzing and making effective decision to support the managements of automotive manufacturing organizations in an information system. Research limitations/implications Although this study tries to represent a full analysis on suitable and resilient global supplier selection under various types of uncertainty, still there are some improvements that can be made in the future by developing a more refined and more sophisticated approach to further enhance the performance of the proposed scheme to calculate overall rating scores of the alternatives. Originality/value The novelty of this paper is to propose a framework of BI in SCM to determine a suitable and resilient global supplier where all the meaningful information, relevant knowledge and visualization retrieved by analyzing the huge and complex set of data or data streams, i.e. BD based on decision-making, to develop any manufacturing organizational performance worldwide.
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Kashif, Muhammad, Jaleel Ahmed, Mubashar Islam, and Umar Farooq Gillani. "Effect of Credit Rating on Trade Credit: Empirical Evidences from Pakistani Non-financial sector." Sukkur IBA Journal of Management and Business 6, no. 1 (September 19, 2019): 1. http://dx.doi.org/10.30537/sijmb.v6i1.119.
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The study investigated how non-financial businesses use trade credit in the context of borrowing restrictions in developing economies. Despite the tremendous changes in the trend, trade credits still have huge usage. Buyers and suppliers have moved from traditional trading systems to advancing automated and sophisticated business methods. Multi-dimensional aspects of business strategy also include trade credits. Trade credit has a huge change in supply and demand. Trade credit is used as the main source of financing in almost all regions of the world. World-renowned companies have access to financial lending, but they prefer trade credit because it provides them an edge against collateral held at financial institutions. This research includes some factors like trade credit and credit rating. In this study has unbalanced panel data from non-financial sector of Pakistan. The data range consists of 2008 to 2016 for 38 non-financial firms. Here, by using the fixed effect model examined how credit rating affects the trade credit supply and demand in case of large and small firms. The results show that account receivables and payables both increase in the case of large firm credit rating. They can easily use the trade credit process. In case of small firms, they also join this process or trade credit agreement for smoothing their business function, but they feel some difficulties from both sides.
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Kita, Pavol, Andrea Furková, Marian Reiff, Pavol Konštiak, and Jana Sitášová. "Impact of Consumer Preferences on Food Chain Choice: An empirical study of consumers in Bratislava." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 65, no. 1 (2017): 293–98. http://dx.doi.org/10.11118/actaun201765010293.
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The objective of this paper is to highlight the use of multiple criteria evaluation methods as a tool for the rating and selection of retail chains from the customers and suppliers perspective. We provide an assessment on the attractiveness of active retail chains on the Slovak market through multiple criteria methods used for the analysis of customer preferences. An analysis was conducted on a sample of consumers in Bratislava involving 11 389 respondents interviewed. The multi-attribute decision-making methods PROMETHEE II and V were used to assess the variants. In the first part of analysis the collected data uncover customers’ preferences in the selection of retail chains. Findings suggest a ranking of evaluated retail chains and thus of customer preferences. Based on the obtained evaluation, in the second part of analysis, a set of retail chains was chosen under constraints concerning the effectiveness of advertising, market share of sales and the maximum number of chosen retail chains and a binary linear programming model was formulated as an outcome. Proposed procedure aims to assist the decision maker in selecting which retail chain to choose for distribution of supplier’s products, and thus maximize benefits, which will result from consumer preferences and service satisfaction level in retail chain.
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Atabaki, Mohammad Saeid, Mohammad Mohammadi, and Bahman Naderi. "Hybrid Genetic Algorithm and Invasive Weed Optimization via Priority Based Encoding for Location-Allocation Decisions in a Three-Stage Supply Chain." Asia-Pacific Journal of Operational Research 34, no. 02 (April 2017): 1750008. http://dx.doi.org/10.1142/s0217595917500087.
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In this paper, location–allocation problem of a three-stage supply chain network, including suppliers, plants, distribution centers (DCs) and customers is investigated. With respect to the total cost, the aim is determining opened plants and DCs and designing transportation trees between the facilities. Considering the capacity of suppliers, plants and DCs are limited and there is a limitation on the maximum number of opened plants and DCs, a mixed-integer linear programming (MILP) model of the problem is presented. Since multi-stage supply chain networks have been recognized as NP-hard problems, applying priority-based encoding and a four-step backward decoding procedure, a meta-heuristic algorithm, namely GAIWO, based on the best features of genetic algorithm (GA) and invasive weed optimization (IWO) is designed to solve the problem. In small size problems, the efficiency of the GAIWO is checked by solutions of GAMS software. For larger size problems, the performance of the proposed approach is compared with four evolutionary algorithms in both aspects of the structure of the GAIWO and the efficiency of the proposed encoding–decoding procedure. Besides usual evaluation criteria, Wilcoxon test and a chess rating system are used for evaluating and ranking the algorithms. The results show higher efficiency of the proposed approach.
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Yushkina, N. A. "Professional elevators to the Russian political elite." Digital Sociology 3, no. 4 (January 29, 2021): 25–35. http://dx.doi.org/10.26425/2658-347x-2020-3-4-25-35.
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The article identifies and analyses the main professions-suppliers of personnel to the authorities, reveals their role in the formation of the Russian managerial political elite, and also considers professional spheres and social groups from which incorporation into the political class occurs. The paper takes as a basis the biographies of 800 representatives of all levels of executive and legislative power holding senior positions. According to the results the author creates a rating of professions that cater to the power system, determines the professional lifts and levels at which they are able to lead as well as dedicates and differentiates by the branches of the professional sphere – ramps leading to municipal, regional and Federal authorities. The study notes the special role of engineering-technical and economic professional blocks in the ability to enter the authorities. And also the article identifies and defines a significant group in terms of number with high passability at all levels of government and an instant career type that leads to power immediately after receiving higher education. The paper considers social and educational features of this group, reveals universities-suppliers, tendencies of recruitment of this category in the system of power. The author notes the role of the digital sphere in the formation of the political elite.
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Lukinskiy, Valery, and Vladislav Lukinskiy. "Analysis Of The Logistics Intermediaries Choice Methods In The Supply Chains." Transport and Telecommunication Journal 16, no. 4 (December 1, 2015): 288–95. http://dx.doi.org/10.1515/ttj-2015-0026.
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Abstract The increase of the supply chains efficiency requires optimization of all types of logistic operations and functions. One of such functions is the choice of intermediaries (carriers, freight forwarders, suppliers, service enterprises etc.) and, according to some specialists, it is a major strategic decision in management supply chains. The methods of choosing the logistic intermediaries are considered in many works, however, some questions remain debatable. The article discusses the analytical and expert approaches which serve as a basis to choose the intermediaries; along with it, in the article a comparative evaluation of choice expert methods is done: point-rating assessment, analytic hierarchy process and the general algorithm for selecting; the conclusions have been drawn about the applicability of each method.
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Shweta B., Dand. "Survey on Spam Review Detection Using Spam Filtering Algorithms." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 10, 2021): 535–38. http://dx.doi.org/10.22214/ijraset.2021.36333.
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Generally the people trust on product on the basis of that product reviews and rating. Reviews can affect an organization or profile of a brand. The corporation has to assess market reactions towards its goods. However, it is not straightforward to track and organize popular reviews. Many public views are hard to manually process in social media. A methodology is then required to categories positive or negative public assessments automatically. Online feedback will provide customers with an insight into the consistency, efficiency and advice of the product; this provides prospective buyers with a better understanding of the product. One such unrealized opportunity is the usability of web assessments from suppliers in order to fulfill client requirements by evaluating beneficial feedback. Good and negative reviews play a major role in assessing customer needs and in quicker collection of product input from consumers. Sentiment Analysis is a computer study that extracts contextual data from the text. In this study a vast number of online mobile telephone ratings are analyzed. We classify the text as positive and negative, but we also included feelings of frustration, expectation, disgust, apprehension, happiness, regret, surprise and confidence for spam review detection. This delimited grouping of feedback helps to holistically assess the product, allowing buyers to decide better.
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Dvulit, Zoriana, Natalia Petryshyn, and T. Kharchuk. "FINANCIAL PLANNING OF IMPORT OPERATIONS IN PE "ART-ENERGO"." Journal of Lviv Polytechnic National University. Series of Economics and Management Issues 5, no. 2 (November 1, 2021): 61–71. http://dx.doi.org/10.23939/semi2021.02.061.
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Purpose. The purpose of the study is to formulate a proposal to improve the technology of planning the supply of goods as part of the financial planning of import operations of PE "Art-Energo" in accordance with the problems identified during the analysis of the enterprise. Among the objectives of the study are: - consideration of the current state and features of the functioning of the system of financial planning of import operations at the enterprise during the analysis of its activities; - identification of the most urgent problem that arises in the supply of goods within the financial planning of import operations of the enterprise; - formation of a proposal to solve the identified problem of financial planning of import operations and justification of its feasibility. Design/methodology/approach. To achieve the goals, special and general scientific methods were used, including: graphic method was used to visualize the cycle of financial planning of imports of PE "Art-Energo"; expert method was used to determine the weight of the criteria for evaluating suppliers in the system of financial planning of import operations of PE "Art-Energo"; comparison was used to justify the most favorable terms of cooperation and to select the best contractors; systematization was used for calculations of liquidity indicators; generalization was used to develop recommendations for working with partners by category in the system of financial planning of import operations of PE "Art-Energo". Findings. In the article is shown that the conditions of cooperation with foreign counterparties directly affect not only the competitiveness of the enterprise, but also the financial performance of its activities. It was found that non-parity terms of cooperation with suppliers can be one of the causes of cash gaps, which in turn leads to the inability of the company to repay its obligations on time and, consequently, to insolvency. It is established that the maneuverability of working capital is significantly reduced with the full advance of products, which is the main condition for cooperation of suppliers with PE "Art-Energo", so there is a need to transform the payment system. In order to increase the efficiency of the technology of planning the supply of goods as part of the financial planning of import operations, it is proposed to introduce a system of supplier evaluation in the activities of the enterprise. The hypothesis of a positive relationship between the introduction of supplier evaluation system as a tool of improvement the financial planning of import operations of PE "Art-Energo" and the growth of the company's ability to pay current liabilities, including timely payments on accounts payable due to operating cash flow is proven. Practical implications. The introduction of a supplier evaluation system based on the evaluation of estimation according to the relevant criteria and the classification of partners by category will help ensure transparency of the contractor selection mechanism, eliminating subjective preferences, thereby minimizing the impact of the human factor. That is why such a way to improve the technology of planning the supply of goods can find practical application not only in the case of PE "Art-Energo", but also for any other trading company. Originality/value. In the article, the authors suggest the use of a supplier evaluation system based on the results of the audit and the assignment of the rating to the contractors, that allow to identify their weaknesses and clearly formulate the tasks that need to be solved by the supplier in order to effectively cooperate with PE "Art-Energo". Eliminating the actual shortcomings of the supply system and the introduction of supplier evaluation system helps the company to reduce costs, risks, increase the quality of goods and ensure the stability of work.
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Thapa, S., S. Agrawal, and M. Kryger. "0707 “What We’Ve Got Here Is Failure To Communicate”: Apnea Patients And Their DME Suppliers." Sleep 43, Supplement_1 (April 2020): A269. http://dx.doi.org/10.1093/sleep/zsaa056.703.
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Abstract Introduction Successful treatment of obstructive sleep apnea requires adherence to positive airway pressure (PAP) therapy. A key factor is the relationship between the DME provider and the patient so that treatment can be initiated and continued in a timely manner. Our quality improvement project aims to empower and enable patients towards active participation in their sleep apnea care. Our goal is to ultimately increase patients’ knowledge of their Durable Medical Equipment (DME) supplies company, and thus improve their treatment. The first step was to determine patients’ familiarity with their DME. Methods Forty-one patients with sleep apnea on PAP therapy volunteered to be questioned about their DME company during clinic visits at the Yale North Haven Sleep Center, Connecticut, starting November 2019. Patients were asked if they knew the name or the contact of their DME; whether they received adequate training on PAP therapy initiation; if they were receiving timely and correct PAP therapy supplies. They were asked to rate their satisfaction with the DME on a scale of 1 to 5; one being very dissatisfied and five being very satisfied. Results Only 12 out of 41 patients (29.3 percent) knew the names of their DME companies. The average satisfaction rating was 3 (neutral); 44% of patients were dissatisfied, or very dissatisfied with the performance of their DME. Detailed comments were mostly related to poor contact and communication with the DME. Conclusion Most apnea patients had difficulty identifying and contacting their DME. As the next step of this quality improvement project we plan to intervene to ensure that the patients have the name and contact information of their DME available and attached to their PAP machine equipment. We plan to repeat this questionnaire after this intervention to study the impact of this quality improvement project. Support None
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Yang, Minghui, Paulo Bento, and Ahsan Akbar. "Does CSR Influence Firm Performance Indicators? Evidence from Chinese Pharmaceutical Enterprises." Sustainability 11, no. 20 (October 14, 2019): 5656. http://dx.doi.org/10.3390/su11205656.
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This research is carried out in the backdrop of increasing product quality and environmental degradation scandals associated with Chinese Pharmaceuticals in recent years. We examined the data of 125 Chinese Pharmaceuticals between 2010–2016 to investigate the impact of overall corporate social responsibility (CSR) performance as well as the performance on five unique aspects of CSR such as shareholders, employees, customers and suppliers, environmental practices, and the society to gauge the impact of these individual dimensions on the firm’s financial performance. The Hexun rating system is used to gauge a firm’s CSR performance on various stakeholder dimensions as it is one of the widely accepted CSR measurement criteria in China. The firm performance is measured by Tobin’s Q, return on assets (ROA), return on equity (ROE), and earnings per share (EPS) ratios. The outcome of the panel-based regression models reveals that the overall CSR score has a positive and significant influence on a firm’s financial indicators. Moreover, although all the CSR dimensions relate positively to firm performance, the environmental aspect of CSR has the most profound impact on firm performance followed by customers and suppliers, and employees. However, the shareholders and social dimensions have a relatively lesser influence on firm performance. These results imply that Chinese Pharmaceuticals shall further optimize each aspect of CSR performance as it can not only create a favorable brand image for various stakeholders but also results in sustainable financial performance.
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Conte, Antonio, and Frank Renneke. "Supplier Risk Rating." Controlling 20, no. 2 (2008): 97–108. http://dx.doi.org/10.15358/0935-0381-2008-2-97.
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Pahwa, Deepak, and Binil Starly. "Network-based pricing for 3D printing services in two-sided manufacturing-as-a-service marketplace." Rapid Prototyping Journal 26, no. 1 (January 6, 2020): 82–88. http://dx.doi.org/10.1108/rpj-01-2019-0018.
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Purpose This paper presents approaches to determine a network-based pricing for 3D printing services in the context of a two-sided manufacturing-as-a-service marketplace. The purpose of this study is to provide cost analytics to enable service bureaus to better compete in the market by moving away from setting ad hoc and subjective prices. Design/methodology/approach A data mining approach with machine learning methods is used to estimate a price range based on the profile characteristics of 3D printing service suppliers. The model considers factors such as supplier experience, supplier capabilities, customer reviews and ratings from past orders and scale of operations, among others, to estimate a price range for suppliers’ services. Data were gathered from existing marketplace websites, which were then used to train and test the model. Findings The model demonstrates an accuracy of 65 per cent for US-based suppliers and 59 per cent for Europe-based suppliers to classify a supplier’s 3D printer listing in one of the seven price categories. The improvement over baseline accuracy of 25 per cent demonstrates that machine learning-based methods are promising for network-based pricing in manufacturing marketplaces Originality/value Conventional methodologies for pricing services through activity-based costing are inefficient in strategically priced 3-D printing service offering in a connected marketplace. As opposed to arbitrarily determining prices, this work proposes an approach to determine prices through data mining methods to estimate competitive prices. Such tools can be built into online marketplaces to help independent service bureaus to determine service price rates.
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Lee, Lian Fen. "Incentives to Inflate Reported Cash from Operations Using Classification and Timing." Accounting Review 87, no. 1 (August 1, 2011): 1–33. http://dx.doi.org/10.2308/accr-10156.
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ABSTRACT This study examines when firms inflate reported cash from operations in the statement of cash flows (CFO) and the mechanisms through which firms manage CFO. CFO management is distinct from earnings management. Unlike the manipulation of accruals, firms cannot manage CFO with biased estimates, but must resort to classification and timing. I identify four firm characteristics associated with incentives to inflate reported CFO: (1) financial distress, (2) a long-term credit rating near the investment/non-investment grade cutoff, (3) the existence of analyst cash flow forecasts, and (4) higher associations between stock returns and CFO. Results indicate that, even after controlling for the level of earnings, firms upward manage reported CFO when the incentives to do so are particularly high. Specifically, firms manage CFO by shifting items between th estatement of cash flows categories both within and outside the boundaries of generally accepted accounting principles (GAAP), and by timing certain transactions such as delaying payments to suppliers or accelerating collections from customers. Data Availability: Data are available from public sources identified in the study.
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Ahmed, Muhammad Usman, and Asad Shafiq. "Toward sustainable supply chains: impact of buyer's legitimacy, power and aligned focus on supplier sustainability performance." International Journal of Operations & Production Management 42, no. 3 (February 9, 2022): 280–303. http://dx.doi.org/10.1108/ijopm-08-2021-0540.
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PurposeAs large multinational firms are increasingly tasked with developing sustainable supply chains, their role in improving the sustainability performance of their suppliers is critical. This paper examines the dual role of a buyer firm, as a customer and as an important stakeholder, and identifies several attributes of the buyer firm and the dyadic relationship that could help improve the sustainability performance of suppliers.Design/methodology/approachA dyadic multi-year dataset is created using financial and customer data from the Compustat database and sustainability data from MSCI ESG ratings database. The hypotheses are tested using econometric panel data techniques.FindingsThe findings indicate that a buyer's legitimacy is a key factor that affects supplier's sustainability performance. The effect of legitimacy is much higher when the buyer and supplier firms have an aligned focus on similar sustainability dimensions. The market power of the buyer also increases the effect of legitimacy, though power without legitimacy is not effective.Originality/valueThe study expands the understanding of how buyer firms can influence suppliers on sustainability by highlighting the key role played by legitimacy and aligned focus and the supporting role of market power. The study contributes to both the stakeholder salience literature and the buyer–supplier relationship literature by showing evidence for complementarity between market power and legitimacy. Buyer firms can use the results of the study to focus their efforts on suppliers where a significant improvement in sustainability can be expected.