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1
Cleff, Thomas. "Using International Trade Data for Evaluating the Product Specific Competitiveness and Supplied Product Quality of Countries: A Successful Example of Applied Theory." Gadjah Mada International Journal of Business 8, no. 2 (June 12, 2006): 229. http://dx.doi.org/10.22146/gamaijb.5621.
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This paper proposes a simple regression-based method for reducing the complexity of decisions in the international procurement process. Based on foreign trade data, the method uses indicators, which allow a product specific cross-section and longitudinal-section valuation of the international competitiveness and the supplied product quality of all potential supplier countries. The method thus provides a variety of information for procurement departments, including the present level and the dynamic of competitiveness and product quality for the potential supplier countries within every product group of the international product nomenclature (Combined System and the Harmonised System). Potential supplier countries --the companies of which have proven to be particularly competitive in the different product quality stages-- are identified. This pre-selection of countries enables the companies to limit their search for potential suppliers to the selected supplier countries. High search costs are subsequently reduced and trend prognoses can be constructed.
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POLANSKY, ALAN M. "SUPPLIER SELECTION BASED ON BOOTSTRAP CONFIDENCE REGIONS OF PROCESS CAPABILITY INDICES." International Journal of Reliability, Quality and Safety Engineering 10, no. 01 (March 2003): 1–14. http://dx.doi.org/10.1142/s0218539303000968.
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The supplier selection problem consists of selecting the best of several possible suppliers for a product. The selection criteria, in the absence of considerations such as cost, are based on a quality metric such as the capability of the supplier's manufacturing process. Because quality metrics are estimated based on sample process data, the inherent variability in the estimates must be accounted for when selecting the best supplier. In this paper we consider a methodology based on the bootstrap that assigns confidence levels to each of the suppliers. These confidence levels are designed to reflect the amount of confidence we have that the supplier actually has the best quality metric, conditional on the observed samples. The methodology is demonstrated using two examples.
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Chen, Kuen-Suan, Tsang-Chuan Chang, and Chien-Che Huang. "Supplier Selection by Fuzzy Assessment and Testing for Process Quality under Consideration with Data Imprecision." Mathematics 8, no. 9 (August 24, 2020): 1420. http://dx.doi.org/10.3390/math8091420.
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Supply chain management models integrate upstream and downstream organizations to enable rapid response to consumer needs. For the manufacturing industry, the process quality of suppliers is thus the foundation of sustainable growth for firms and an important indicator of whether a firm can effectively reduce waste and protect the environment. To this end, this paper proposes a model of supplier selection for manufacturers based on process quality assessment. First of all, Six Sigma quality index Qpk is adopted as the assessment tool to conveniently measure the quality level of process. Practical applications require estimates of Qpk from the data collected to analyze the process quality of each supplier. The fact that uncertainty is unavoidable in the collected data means that using the crisp estimate of Qpk can lead to misjudgment of the process quality. To enhance the reliability of evaluation and reduce the risk of misjudgment, the fuzzy number Q^˜pk is proposed to perform the fuzzy testing of two indices Qpk provided by suppliers with the intent of making reliable decisions on supplier selection.
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Adi Wicaksono, Purnawan, I. Nyoman Pujawan, Erwin Widodo, Sutrisno, and Laila Izzatunnisa. "Mixed integer linear programming model for dynamic supplier selection problem considering discounts." MATEC Web of Conferences 154 (2018): 01071. http://dx.doi.org/10.1051/matecconf/201815401071.
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Supplier selection is one of the most important elements in supply chain management. This function involves evaluation of many factors such as, material costs, transportation costs, quality, delays, supplier capacity, storage capacity and others. Each of these factors varies with time, therefore, supplier identified for one period is not necessarily be same for the next period to supply the same product. So, mixed integer linear programming (MILP) was developed to overcome the dynamic supplier selection problem (DSSP). In this paper, a mixed integer linear programming model is built to solve the lot-sizing problem with multiple suppliers, multiple periods, multiple products and quantity discounts. The buyer has to make a decision for some products which will be supplied by some suppliers for some periods cosidering by discount. To validate the MILP model with randomly generated data. The model is solved by Lingo 16.
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Hutagalung, Juniar. "Studi Kelayakan Pemilihan Supplier Perlengkapan Dan ATK Menggunakan Metode SAW (Simple Additive Weighting)." J-SAKTI (Jurnal Sains Komputer dan Informatika) 3, no. 2 (September 13, 2019): 356. http://dx.doi.org/10.30645/j-sakti.v3i2.154.
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Office Supplies and Stationery (ATK) are equipment that is often used in offices, companies and organizations, include cabinet filling, perforators, calculators, paper clips, staplers, numerators, guides, flashdisks, paper punches, pens and paper, paper shredder, computers, printers, facsimile machines, photocopiers, archive folders and cash registers, office furniture. Supplier is part of the supplier chain that influences the development of a company. Problems that are often experienced by PT. PLN Engineering such as late arrivals and lack of quality equipment and stationery from suppliers, therefore it needs to be re-ordered or returned to suppliers, so that time is wasted. Storage of data on procurement of equipment and stationery that are still conventional so that it is not effective and efficient in terms of time, cost and energy, let alone supplier selection which is still subjective. The purpose of this study makes it easier for competent parties to make decisions at PT. PLN Engineering in selecting the best supplier to be consistent in maintaining the determined criteria so as to minimize the risk and not disappoint the company. Incorrect supplier selection affects the quality and costs incurred in buying equipment and stationery from suppliers, how to overcome them requires a decision support system (SPK) that is able to accurately select the most suitable supplier. The method of Simple Additive Weighting (SAW) combined with fuzification is the right method for evaluating the best suppliers. The most important criteria are Price of Goods, Quality of Goods, Delivery Time, Location Distance, Goods Packaging, Accuracy of Goods, Flexibility, Track Record. The conclusion of the test results is the SAW method is able to show that the ranking of the best suppliers with the highest value of 0.89 is UD. Bintang Mulia.
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Djasmayena, Selvia, Yuhandri Yunus, and Rezi Elsa Putra. "Pemilihan Supplier Obat yang Tepat Menggunakan Metode Multi Attribut Utility Theory." Jurnal Informasi & Teknologi 1, no. 4 (December 31, 2019): 47–54. http://dx.doi.org/10.37034/jidt.v1i4.27.
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Drug suppliers are those who sell and distribute drugs to pharmacies or sections that carry out pharmaceutical activities. Selection of the right supplier can support the operational activities of the pharmacy. Pharmacists must know the right criteria in choosing a supplier. Criteria determined by pharmacies not all suppliers can fulfill it. Overcoming this decision support system is very necessary in the selection of suppliers. Multi-Attribute Utility Theory is a ranking method that helps in supporting supplier selection decisions at Pekanbaru Assyafni Pharmacy. Supplier selection uses 15 sample supplier data and 5 criterion data used as a basis for supplier selection. Such as drug production, delivery time, quality stability, service response, and guarantee. The results of the study get a high degree of accuracy that is 86.67% of the right suppliers and in accordance with the realization of test data. So this research is very important in choosing the right supplier.
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Hanum, Bethriza, Titia Izzati, and Andi Cakravastia. "Supplier Selection on Rendement Rate of Patchouli Leaf." International Journal of Engineering & Technology 7, no. 3.7 (July 4, 2018): 130. http://dx.doi.org/10.14419/ijet.v7i3.7.16254.
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The aim of research is to design the model of rendement rate by considering the criteria of patchouli leaf and designing a good supplier selection model to maximize the company profit by considering the acceptance of the patchouli oil rendement rate. The selection of suppliers discussed is to consider the quantity of goods offered by suppliers, demand, budget and acceptance limitation of rendement rate. To overcome these limitations, it is necessary to develop a supplier selection model that takes into consideration the quantity limitation of goods offered by the supplier and the acceptance of the rendement rate by using Linear Programming (LP) method. The result of the research shows that the determination model of the rendement rate developed to determine the percentage of Rendement Rate (RR) of each raw material supplied by the supplier so that the company can know the quality of patchouli leaf based on the type of patchouli leaf. The analysis result of numerical sample calculation shows that the selected supplier is not a supplier with good patchouli leaf criteria, the analysis result of parameter changes in oil demand and budget indicate that when oil demand is increased over the benchmark data, the model output is insensitive, but when demand is lowered below the benchmark data, the model output looks sensitive.
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Bao, Xi, and Fenfen Li. "A methodology for supplier selection under the curse of dimensionality problem based on fuzzy quality function deployment and interval data envelopment analysis." PLOS ONE 16, no. 7 (July 14, 2021): e0253917. http://dx.doi.org/10.1371/journal.pone.0253917.
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Supplier selection is an important decision-making problem, which involves many quantitative and qualitative factors incorporating vagueness and imprecision. This study proposes a novel fuzzy multi-criteria decision-making framework for supplier selection, which integrates quality function deployment (QFD) and interval data envelopment analysis (DEA). The proposed methodology allows for considering the relationships among the product features and supplier evaluation criteria (SEs) and the impacts of inner dependence among SEs by constructing a house of quality (HOQ). Considering that the number of supplier evaluation indicators is greater than the number of suppliers in some cases, the curse of dimensionality problem usually exists. To solve this problem, we combine the HOQ, interval DEA models, and forward-stepwise selection approach to screen supplier evaluation indicators and select the best supplier(s). Through the two-stage supplier selection method, we can achieve the double screening of indicators and determine the final supplier(s). Finally, the application of the proposed framework is demonstrated through a numerical example and a sensitivity analysis is also carried out to verify the stability of the proposed methodology. This study focuses on supplier selection based on the combination of fuzzy QFD and interval DEA, and also provide a new two-phase methodology for DEA indicator screening.
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Shu, Ming-Hung, and Hsien-Chung Wu. "Quality-based supplier selection and evaluation using fuzzy data." Computers & Industrial Engineering 57, no. 3 (October 2009): 1072–79. http://dx.doi.org/10.1016/j.cie.2009.04.012.
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Shabani-Naeeni, Fereshte, and R. Ghasemy Yaghin. "Incorporating data quality into a multi-product procurement planning under risk." Journal of Business & Industrial Marketing 36, no. 7 (January 14, 2021): 1176–90. http://dx.doi.org/10.1108/jbim-02-2020-0108.
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Purpose In the data-driven era, the quality of the data exchanged between suppliers and buyer can enhance the buyer’s ability to appropriately cope with the risks and uncertainties associated with raw material purchasing. This paper aims to address the issue of supplier selection and purchasing planning considering the quality of data by benefiting from suppliers’ synergistic effects. Design/methodology/approach An approach is proposed to measure data visibility’s total value using a multi-stage algorithm. A multi-objective mathematical optimization model is then developed to determine the optimal integrated purchasing plan in a multi-product setting under risk. The model contemplates three essential objective functions, i.e. maximizing total data quality and quantity level, minimizing purchasing risks and minimizing total costs. Findings With emerging competitive areas, in the presence of industry 4.0, internet of things and big data, high data quality can improve the process of supply chain decision-making. This paper supports the managers for the procurement planning of modern organizations under risk and thus provides an in-depth understanding for the enterprises having the readiness for industry 4.0 transformation. Originality/value Various data quality attributes are comprehensively subjected to deeper analysis. An applicable procedure is proposed to determine the total value of data quality and quantity required for supplier selection. Besides, a novel multi-objective optimization model is developed to determine the purchasing plan under risk.
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Chen, Kuen-Suan, Chiao-Tzu Huang, and Tsang-Chuan Chang. "Decision-Making for the Selection of Suppliers Based on the Process Quality Assessment." International Journal of Reliability, Quality and Safety Engineering 27, no. 06 (June 7, 2020): 2050016. http://dx.doi.org/10.1142/s0218539320500163.
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Supplier selection is a practical problem in supply chain management and quality is the most important criterion in supplier selection. In this study, we developed a supplier selection model based on process quality, in which the Six Sigma quality index [Formula: see text] is used as a tool to assess the process quality provided by suppliers. Note that index estimation based on sample data is prone to uncertainty in the assessment of process quality. Therefore, we derived the confidence interval of [Formula: see text] via mathematical programming to reduce the likelihood of assessment miscalculations, and then used this interval to perform a pairwise comparison of suppliers. Our goal was to identify criteria that can be used to select the optimal suppliers for long-term collaborations and sustainable partnerships. A case study is also presented to demonstrate the practical implementation of the proposed method.
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Krishnan, Gopal V., Panos N. Patatoukas, and Annika Yu Wang. "Customer-Base Concentration: Implications for Audit Pricing and Quality." Journal of Management Accounting Research 31, no. 1 (February 1, 2018): 129–52. http://dx.doi.org/10.2308/jmar-52040.
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ABSTRACT What are the implications of major customer dependency, i.e., the degree of a supplier firm's dependency on its major customers, for external auditors? While the conventional view emphasizes the negatives of major customer dependency for client business risk, we find that suppliers with more concentrated customer bases spend less on audit fees. The evidence is consistent with reduced audit effort due to efficiency gains in the audit process, especially when suppliers with more concentrated customer bases share the same auditors with their long-standing major customers. The audit fee discount we identify does not imply that audit quality declines with customer-base concentration. In fact, we find that suppliers with more concentrated customer bases are less likely to experience material restatements of previously audited financial statements. Taking the external auditors' perspective, our study provides new managerial insights on the costs and benefits of major customer relationships for supplier firms. Data Availability: All data are available from sources identified in the text.
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Yilmaz Börekçi, Dilek, Arzu Işeri Say, Hayat Kabasakal, and Yasin Rofcanin. "Quality of relationships with alternative suppliers: The role of supplier resilience and perceived benefits in supply networks." Journal of Management & Organization 20, no. 6 (November 2014): 808–31. http://dx.doi.org/10.1017/jmo.2014.51.
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AbstractSupplier–buyer exchange relationship and quality of that relationship (supplier satisfaction and commitment) have been examined from various angles in the extant literature. Yet, there is a paucity of research investigating the influence of supplier characteristics – especially supplier resilience – on relationship quality. Driven to fill this gap, this study aims to develop theory of the influence of perceived benefits from supplier–buyer exchange relationship and supplier resilience on relationship quality. Data drawn from 97 supplier–buyer dyads were used. Hierarchical regression analyses showed the positive influence of both perceived benefits from supplier–buyer exchange relationships and supplier resilience on relationship quality. Further empirical and theoretical implications, as well as the limitations of the study, are discussed.
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Indriya Himawan, Abdurrahman Faris. "ANALYTICAL HIERARCHY PROCESS SEBAGAI EVALUASI SUPPLIER ALAT KESEHATAN DAN OBAT – OBATAN DI RUMAH SAKIT MUHAMMADIYAH." MANAJERIAL 6, no. 01 (April 27, 2019): 35. http://dx.doi.org/10.30587/manajerial.v6i01.859.
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Supplier selection is one of the important things in purchasing activities for companies, because the selection of suppliers is very influential on the quality of a product. One way to choose the right supplier for the company can be done using the Analytical Hierarchy Process (AHP) method, the Analytical Hierrarchy Process method is a decision-making method developed to give priority to several alternatives when several criteria must be considered. Some things to consider in choosing suppliers such as: shipping, quality, service, past performance, payment. This research was conducted at one of Muhammadiyah's charitable businesses, namely at the Muhammadiyah Hospital or Clinic. This study aims to find out the best supplier for Muhammadiyah Hospital. This study uses a quantitative descriptive research approach. With the use of samples from this study is the decision making in the purchase of drugs and medical devices Clinic or Muhammadiyah Hospital. The results of the data analysis concluded that the indicators of quality, acceleration of service, credibility of suppliers are bets in determining the best suppliers for the procurement of drugs and medical devices clinics or hospitals Muhammadiyah. Whereas from the overall simulation results Supplier Q is considered as the best supplier for Muhammadiyah Hospital, because overall of all criteria Supplier Q has the highest value compared to other suppliers.
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Bondinuba, F. K., D. J. Edwards, S. G. Nimako, D. Owusu-Manu, and C. Conway. "Antecedents of supplier relation quality in the Ghanaian construction industry." International Journal of Construction Supply Chain Management 6, no. 1 (July 31, 2016): 1–18. http://dx.doi.org/10.14424/ijcscm601016-01-18.
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Effective and efficient management of suppliers within a supply chainis an essential requirement for improving organisational performance within construction companies. However, factors inherent within the supply chain of supplier-buyer exchanges such as culture, politics, dependence and trust may influence supplier relationship quality (SRQ). This research therefore seeks to identify the influence that these factors have upon SRQ in the Ghanaian construction industry and develop a conceptual framework that explains the interconnectivity between them. A literature review isused to develop a conceptual framework of the antecedents influencing supplier relationship quality. Primary ‘perception’ data obtained from 152 building material suppliers is used to test the proposed model using Partial Least Squares (PLS). Findings reveal that culture, politics, dependence and trust have a significant influence on relationship quality in supply chain collaborations amongst purchasers and suppliers of building materials. While politics has a strong influence on dependence, it also generates a negative influence on SRQ and trust. The research confirms the positive effect of trust and dependence in SRQ management and extends understanding of the influence of culture and politics. Practical implications suggest that managers of building material suppliers should focus upon building trust and dependence and be discouraged from over-reliance upon politics and political affiliations as a basis for long-term relationship building
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Salam, Mohammad Asif, and Sami A. Khan. "Achieving supply chain excellence through supplier management." Benchmarking: An International Journal 25, no. 9 (November 29, 2018): 4084–102. http://dx.doi.org/10.1108/bij-02-2018-0042.
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PurposeThe purpose of this paper is to develop a supplier selection and management program to improve overall supplier performance.Design/methodology/approachSupplier performance is measured in terms of quality and delivery within a fast moving consumer goods (FMCG) business of a multinational company based in Thailand using a case study methodology. The quality and delivery related data were collected from daily deliveries at the manufacturing plant both before and after implementing the supplier management program.FindingsFindings of the study suggest that the selection of suppliers based on their performance is important for manufacturing firms. Moreover, the supplier selection and management program can contribute effectively to improving suppliers’ performance.Research limitations/implicationsThis case study has been conducted based on a single company within the FMCG industry. Hence, it limits the generalizability of the findings across industries.Practical implicationsThe study provides a real-life tool for practitioners to learn about the importance of strategic decision-making process pertaining to the supplier selection and management program.Social implicationsThis study demonstrates that through a transparent supplier evaluation process, the firms can develop trust and long-term relationship with their suppliers for pursuing the goals of product development and innovation.Originality/valueImplementing a supplier management system is a critical step in enhancing an organization’s overall competitiveness. To develop an effective supplier management system firms must have objective measures and share those with their suppliers. Developing metrics for suppliers’ evaluation is the key to achieving continuous improvement as evidenced in this case.
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Hallberg, Peter, Nina Hasche, Johan Kask, and Christina Öberg. "Quality management systems as indicators for stability and change in customer-supplier relationships." IMP Journal 12, no. 3 (November 12, 2018): 483–97. http://dx.doi.org/10.1108/imp-01-2018-0006.
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Purpose This paper extends the discussion on stability and change through focus on specific relationship characteristics. Quality management systems prescribe established routines for supplier selection and monitoring, and may thereby designate the nature and longevity of customer–supplier relationships. The purpose of this paper is to describe and discuss the effects of quality management systems on stability and change in different forms of customer–supplier relationships. Design/methodology/approach A number of illustrative examples based on participatory data and interviews help to capture different types of customer–supplier relationships (private/public; certified/non-certified) related to quality management systems. Findings While certified customers in most sectors only need to prove that their suppliers have procedures in place, many customers equate this with requiring that their suppliers should be certified. The paper further shows that customers replace deeper understandings for their suppliers’ procedures with the requirement that they be certified. Originality/value The paper contributes to the existing literature through integrating quality management systems literature with the business network approach. For business network studies, the discussion on quality management systems as constricting regimes is interesting and provides practical insights to the business network studies as such quality management systems increase in importance and spread.
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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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Eddy Nugroho, Rosalendro, and Maria Sherly Iskandar. "APPLICATION OF AHP FOR SUPPLIER SELECTION IN CONSTRUCTION COMPANIES." Dinasti International Journal of Management Science 1, no. 6 (July 19, 2020): 921–33. http://dx.doi.org/10.31933/dijms.v1i6.400.
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The procurement process is an important process in supply chain management as it is the spearhead of the entire process. In carrying out the procurement process, there are often problems with the supplier selection activities. This is because the supplier selection process spends a lot of time and resources collecting data and conducting careful analysis that will affect the entire decision alternative. In making decisions relating to the many criteria and the number of alternative suppliers, it requires an effective and uncomplex assessment technique, but it provides accurate results. A mapping and determination of supplier selection criteria is required as a basis for valuation to obtain a qualified supplier. This study focused on PT. XYZ is a construction company in South Tangerang. Analytical Hierarchy Process (AHP) is used to determine the best supplier, there are 4 variables that are reference in conducting the selection of suppliers, such as: cost, quality, delivery, and service. The result in the selection of the supplier company is cost with a weight of 0.268, quality with a weight of 0.290, delivery with a weighting of 0.248, and the service with a weight of 0.194 where conclusions obtained from the analysis of the selection of the best suppliers and in accordance with the criteria, namely PT. CBL for iron suppliers, PT.SAS for cement suppliers, and PT. Citra BSD for suppliers of natural materials
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Fatrias, Dicky, Nilda Tri Putri, Pri Gustari Akbar, and Fidela Andari Fae. "Optimizing coal blending quality through supplier selection and order allocation: A case of cement industry." MATEC Web of Conferences 204 (2018): 02005. http://dx.doi.org/10.1051/matecconf/201820402005.
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Coal combustion plays an important role in the process of burning raw mix into cement clinker. However, ensuring a uniform coal quality is quite challenging especially when cement producer adopts multi-sourcing system where different suppliers involved to supply coal demand. This research explores the optimal coal blending quality problem in SP Co., as one of the largest cement industry in Indonesia, where the coal is supplied from several suppliers characterized by heterogenous and fluctuated coal quality. In detail, the problem is to select a set of suppliers and to determine optimal order allocation of coal for supplying three cement plants distinguished by certain requirement of coal specification under some realistic constraints such as quality of coal, allocated budget of purchasing and supplier capacity. A linear programming model is proposed to solve the formulated problem and sensitivity analysis is performed to examined the robustness of the model. Using real case data, we demonstrate the usefulness and applicability of our model.
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Nguyen, Nguyen Thi Duc, Luong Phuoc Le, and Lan Hoang Le. "Supplier selection in supply chain management: AHP approach. A case study in the PVM company’s carton supplier selection." Science and Technology Development Journal 18, no. 4 (December 30, 2015): 134–43. http://dx.doi.org/10.32508/stdj.v18i4.978.
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This study aims to: (1) summarize the criteria for selecting suppliers in the supply chain management from literature review and apply of the found criteria to construct the criteria for selecting carton suppliers for PVM Company expanding export market, and (2) analyze and comparethe strategy offinding the new supplier or developing the existing supplier. The in-depth interviews with experts in supply chain management and AHP approach with the support of the Expert Choice software are used for data collection, data processing, evaluating and selecting supplier alternatives. The results show that there are 6 main significantcriteria in choosing carton suppliers for the PVM Company including: quality, cost, delivery, reliability, financial, service. Also, by this study, there are two suppliers, such as, BH Companyand TA Company. Finally, the analytical results suggest PVM Companyshould choose the BH Company as carton supplier for the PVM Company’s export market development.
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Yusuf, Muhammad Hafidz, Muhammad Ajir Muzakki, and Narto Narto. "PEMILIHAN SUPPLIER OBAT MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) DI BPM X." Tekmapro : Journal of Industrial Engineering and Management 15, no. 2 (July 31, 2020): 73–84. http://dx.doi.org/10.33005/tekmapro.v15i2.163.
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BPM X is Bidan Praktek Mandiri or Independent Practice Midwife that focuses on the maternal health services, female reproduction services, child health services, and family planning services. BPM X (Independence Practice Midwife) gets medicines from several suppliers. By the presence of several suppliers, BPM X gets the problematic case in determining the right supplier. To choose the right supplier, we need the right method for making the right decisions. The appropriate method to determine the right supplier uses Simple Additive Weighting (SAW). The data which is processed in the form of quality data, price data, service data, warranty. Assessment can be obtained by criteria wich will be used as a basis for rank existing suppliers. Assessment with each criterion is obtained from direct assessment by the owner of BPM X. By the selection of suppliers is expected to make the easier way for BPM X to compare the performance of suppliers. The results of this study uses the SAW method wich are able to get the right supplier. In the case to make decision in determining suppliers can help BPM X for evaluating suppliers.
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Bondinuba, F., D. Edwards, S. Nimako, S. Onwusu-Manu, and C. Conway. "Antecedents of supplier realation quality in the Ghanaian constrution supply chain." International Journal of Construction Supply Chain Management 6, no. 1 (July 31, 2016): 1–18. http://dx.doi.org/10.14424/ijcscm601016-1-18.
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Effective and efficient management of suppliers within a supply chain is an essential requirement for improving organisational performance within construction companies. However, factors inherent within the supply chain of supplier-buyer exchanges such as culture, politics, dependence and trust may influence supplier relationship quality (SRQ). This research therefore seeks to identify the influence that these factors have upon SRQ in the Ghanaian construction industry and develop a conceptual framework that explains the interconnectivity between them. A literature review is used to develop a conceptual framework of the antecedents influencing supplier relationship quality. Primary ‘perception’ data obtained from 152 building material suppliers is used to test the proposed model using Partial Least Squares (PLS). Findings reveal that culture, politics, dependence and trust have a significant influence on relationship quality in supply chain collaborations amongst purchasers and suppliers of building materials. While politics has a strong influence on dependence, it also generates a negative influence on SRQ and trust. The research confirms the positive effect of trust and dependence in SRQ management and extends understanding of the influence of culture and politics. Practical implications suggest that managers of building material suppliers should focus upon building trust and dependence and be discouraged from over-reliance upon politics and political affiliations as a basis for long-term relationship building.
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Kurniawan, Shelvy, Stevanni Cyintia Dewi, and Siska Marisah. "Suppliers Selection Using FAHP and FTOPSIS in a Chemical Manufacturing Company." Binus Business Review 11, no. 2 (July 31, 2020): 115–27. http://dx.doi.org/10.21512/bbr.v11i2.6255.
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The research aimed to determine the appropriate weight criteria and sub-criteria in selecting the chemical solvent supplier. It was also to recommend the best alternative suppliers using a comparative analysis method of Fuzzy Analytical Hierarchy Process (FAHP) and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS). The research was conducted in one of the chemical manufacturing companies in Indonesia. The type of research was descriptive with a quantitative approach that used primary data sources such as questionnaires, interviews, and observations, and secondary data such as books and journals. The criteria studied were cost, quality, delivery, flexibility, supplier profile, and supplier relationship. The results of using FAHP indicate that the criteria with a major influence on the decision making of supplier selection are quality followed by delivery, cost, supplier relationship, flexibility, and supplier profile in sequence. Then, using FTOPSIS, it recommends that the best supplier alternative decision is Supplier A with a weight value of 0,773 and an approved evaluation status. The results have shown that both methods are suitable for supplier selection, particularly in supporting group decision making and modeling uncertainty.
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Fynes, Brian, and Chris Voss. "The moderating effect of buyer‐supplier relationships on quality practices and performance." International Journal of Operations & Production Management 22, no. 6 (June 1, 2002): 589–613. http://dx.doi.org/10.1108/01443570210427640.
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This paper contributes to, and links the areas of quality management and buyer‐supplier relationships. In doing so, we seek to address two broad research questions. To what extent do quality practices impact upon the various dimensions of quality performance, manufacturing performance and, in turn, business performance? To what extent is the relationship between quality practices and quality performance contingent upon the nature of buyer‐supplier relationships? To address these questions, we developed a path model incorporating quality practices, design quality, conformance quality, external quality‐in‐use, product cost, time‐to‐market, customer satisfaction, business performance and buyer‐seller relationships. The model was tested with data collected from 200 suppliers in the electronics sector in the Republic of Ireland. Data analysis of the data indicated considerable support for the conceptual model.
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Das, Kanchan, and Scott A. Dellana. "A Quality and Partnering-Based Model for Improving Supply Chain Performance." International Journal of Strategic Decision Sciences 4, no. 3 (July 2013): 1–31. http://dx.doi.org/10.4018/jsds.2013070101.
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This study proposes a Supplier Quality Affiliation (SQA) approach that is integrated into a mixed integer programming Strategic Supply Chain Management (SSCM) model for overall improvement of the supply chain business process. A pool of acceptable quality and high quality suppliers are affiliated using multi-dimensional quality attributes for the supplier operation parameters in the SQA model. Based on the pre-defined partnering attributes, the SQA model next identifies a select group of high quality suppliers that can be converted into partners. The outcome of the SQA model is then integrated into the SSCM model for ensuring input quality while providing several options for overall business gains of the supply chain members, which include suppliers, manufacturers, and retailers. Applicability of the SQA model is investigated using a real world case study and the SSCM model is illustrated with a numerical example using random data.
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Lees, Nic, Peter Nuthall, and Mark M. J. Wilson. "Relationship quality and supplier performance in food supply chains." International Food and Agribusiness Management Review 23, no. 3 (September 30, 2020): 425–45. http://dx.doi.org/10.22434/ifamr2019.0178.
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The importance of procurement relationships in food supply chains is increasing in importance due to issues of food safety, food security, changing consumer preferences, ethical concerns and greater awareness of the environmental impact of food production. Despite the considerable research on buyer-seller relationships in the marketing and management literature, only a small proportion of this has focused on procurement relationships between producers and buyers in food supply chains. Hence, this paper specifically focuses on examining the impact of relationship quality on supplier performance in the context of food supply chains. The theoretical framework is derived from the tenets of the resource-based view and the relational view of firms. Using this framework, the definition, measurement and structural dimensions of relationship quality is established in the context of food producers and buyers. This construct is then tested in relationship to supplier performance. Utilizing data from a mail survey of 954 red meat producers in New Zealand, the model of supplier-buyer relationship quality and its effects on supplier performance is tested using structural equation modelling. The results demonstrate that relationship quality is an essential factor in procurement relationships with suppliers in food supply chains and shows that, as hypothesized, higher quality relationships lead to positive performance outcomes. The results support the theoretical framework indicating that relationship quality, conceptualized and defined in this context, is indeed a valuable relational resource due to its impact on supplier performance. Managerially, this resource can be manipulated to improve supplier performance, and hence potentially provide firms with competitive advantage that has high replication barriers.
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Segura, Marina, Concepción Maroto, and Baldomero Segura. "Quantifying the Sustainability of Products and Suppliers in Food Distribution Companies." Sustainability 11, no. 21 (October 23, 2019): 5875. http://dx.doi.org/10.3390/su11215875.
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Supplier evaluation is a relevant task of supply chain management where multicriteria methods make great contributions to manufacturing industries. This is not the case in food distribution companies, which have a key role in providing safe and affordable food to society. The purpose of this research is to measure the sustainability of products and suppliers in food distribution companies through a multiple criteria approach. Firstly, the system proposed provides indicators to qualify products and assess the food quality, using the compensatory Multi-Attribute Utility Theory (MAUT) model. Secondly, these indicators are included in supplier evaluation, which takes economic, environmental, and social criteria into account. MAUT and Preference Ranking Organisation Method for Enrichment Evaluation (PROMETHEE), a non-compensatory method, are used for supplier evaluation. This approach has been validated for fresh food in a supermarket chain, mainly using historical data. Partial indicators, such as food safety scores, together with global indicators of suppliers, inform the most appropriate decisions and the most appropriate relations between companies and providers. Poor performance in food safety can lead to the disqualification of some suppliers. MAUT is good for qualifying products and is easy to apply at the operational level in logistic platforms, while PROMETHEE is more suitable for supplier segmentation, as it helps to identify supplier strengths and weaknesses.
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Sun, Yuling, Zeyu Zhu, and Hui Yang. "Fairness Perception, Trust Perception, and Relationship Quality in Agricultural Supply Chains." Journal of Food Quality 2021 (March 9, 2021): 1–10. http://dx.doi.org/10.1155/2021/8817003.
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Suppliers are important members of the agricultural supply chain. Moreover, their behavior decisions may affect the sustainable development of the agricultural supply chain. Considering agricultural supplier trust, this study examines the direct impact of trust perception on relationship quality and the indirect impact of supplier fairness perception on relationship quality. Based on the survey data of agricultural product suppliers, this study uses the structural equation model method for empirical analysis. The analysis results show that both fairness perception and trust perception have a significant positive impact on the relationship quality of the agricultural supply chain. Trust perception particularly has a positive direct impact on the relationship quality of the agricultural supply chain, while fairness perception has an indirect influence on the relationship quality of the agricultural supply chain through trust perception. In addition, information sharing, price satisfaction, income level, and environmental certainty have a significant positive impact on suppliers’ fairness perception. Therefore, retailers comprehensively consider both fairness perception and trust perception of suppliers, which will help improve the relationship quality of the supply chain.
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Satriardi and Martinus S. "Analisis Pemilihan Supplier Chemical Boilout Menggunakan Metode AHP (Analytical Hierarchy Process) Di Seksi Paper Machine#6." Jurnal Surya Teknika 8, no. 1 (July 23, 2021): 233–42. http://dx.doi.org/10.37859/jst.v8i1.2614.
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This study aims to determine the best criteria on which to base the selection of alternative Chemical Boilout suppliers for Paper Machine # 6 dissection and to determine the best supplier to be selected for the Chemical Boilout supplier. The benefit of this research is to improve the consistency of run-ability by reducing the lost time sheet break and paper rejects. The method used is data processing using AHP (Analytical Hierarchy Process) and data collection by means of observation, interviews and questionnaires. The results of this study indicate the criteria for supplier selection, namely quality, price, supplier performance and guarantee of product claims. Then produce a weight for each alternative supplier, in order, namely kemira supplier with a weight of 30.627%, buckman with a weight of 29.973%, solenis with a weight of 21.608% and amazone with a weight of 17.792%. therefore for the best supplier and will be recommended to be selected in the upcoming tender process is the supplier Kemira.
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Yadav, Vinod, and Milind Kumar Sharma. "An application of hybrid data envelopment analytical hierarchy process approach for supplier selection." Journal of Enterprise Information Management 28, no. 2 (March 2, 2015): 218–42. http://dx.doi.org/10.1108/jeim-04-2014-0041.
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Purpose – The problem of supplier selection gets complicated when a company looks for various criteria to evaluate different suppliers. The decision criteria used for supplier selection process can be different for different organizations due to a large number of factors. Hence, it can be said that supplier selection is basically, a multiple criteria decision-making (MCDM) problem. The purpose of this paper is to propose a hybrid data envelopment analytical hierarchy process (DEAHP) approach to solve the supplier selection problem for an automobile company. Design/methodology/approach – In this study, the data envelopment analysis (DEA) approach is embedded into analytic hierarchy process (AHP) methodology. Literature review suggested that majority of researches found it appropriate using DEA and AHP methodologies for supplier selection process; hence it is felt that a hybrid DEAHP would be a useful methodology to offer a MCDM model for supplier selection problem. Findings – First, the key criteria of the supplier selection problem for the company are identified. Then a model is developed and implemented for supplier selection using DEAHP approach. This study concluded that quality, cost and service are the most crucial criteria for an automobile company operational in a developing country like India. Sensitivity analysis further helped to evaluate suppliers based on each criterion. Research limitations/implications – As this analysis and findings are based on only one case study of an Indian automobile company, and this necessitates caution in interpreting the results. The limited number of interviewed managers in a company restricts the generalizability of the results. Though the company selected for this study is typical of developing country businesses, the findings of the paper may not be readily extensible to other companies. Second, this study used retrospective settings, based on the interviewed feedback after the events had occurred. This method naturally poses limitations due to respondent recall and the accuracy of information provided. Third, the problem chosen for this study is based in a single country context and further additional research will be required to examine if the findings could be extended to other automobile companies in other developing nations. Also in some cases technique used in the study may pose some extra computational efforts. Practical implications – This study points out the importance of the supplier selection problem. It provides key criteria for supplier selection in Indian context also proposes a framework to deal with multiple criteria. proposed model deals with two crucial criteria long term relationships and flexibility which were relatively less discussed and considered in the literature in past. Originality/value – The proposed MCDM model can provide the guidelines and directions for the decision makers to effectively choose suppliers in the current competitive environment.
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Azwir, Hery Hamdi, Fuad Hasan, and Hirawati Oemar. "Supplier Selection Of Upper Arm And Lower Arm Pantograph Jack Using AHP And TOPSIS Methods." Jurnal Rekayasa Sistem Industri 9, no. 1 (April 30, 2020): 1–10. http://dx.doi.org/10.26593/jrsi.v9i1.3423.1-10.
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Cost reduction and multi sourcing program is one of the ways used by companies to survive in business competition. Supplier selection process conducted by PT. MTM aims to get suppliers capable of supplying the needs in a sustainable manner with quality products and competitive prices. The company needs a method to select suppliers that can supply upper arm and lower arm components for pantograph jack products. The research is done through analyzing supplier selection process by PT. MTM, examines the criteria used, and then implements the AHP and TOPSIS methods in the process to gain alternative supplier priorities and reduced purchase costs. To speed up data processing, this study utilizes Expert Choice 11 software. The result of analysis using AHP and TOPSIS is two suppliers will supply the components in PT. MTM.Keywords: AHP, multi sourcing, cost reduction, panthograph jack, supplier, TOPSIS
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Lau, Henry, Dilupa Nakandala, and Paul Kwok Shum. "A business process decision model for fresh-food supplier evaluation." Business Process Management Journal 24, no. 3 (June 4, 2018): 716–44. http://dx.doi.org/10.1108/bpmj-01-2016-0015.
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Purpose Frequent food safety incidents caused widespread consumer concerns. Even though food safety is one of the weakest links in the fresh food supply chain and influences consumer food choice in ways different from the quality dimension, this factor is hardly proposed as one of the key traditional supplier selection criteria (e.g. quality, delivery, and price) in the literature. The purpose of this paper is to develop a business process decision model to assess the non-compensating food safety sub-criteria in order to disqualify fresh food suppliers that cannot reach the minimum threshold for low probable food safety failure. The preferred fresh food suppliers can minimize the risk of food safety failure and the associated huge food safety failure costs spanning from private consumer anguish to social distress that cause unbearable costs of sales loss and damage to brand image in business. Design/methodology/approach This study proposes a novel approach that combines several well-established multi-criteria decision making (MCDM) techniques, including fuzzy AHP (FAHP), TOPSIS, and ELECTRE, and innovatively apply to analyze supplier performance and prioritize potential fresh food suppliers. This hybrid business process model can enforce compliance to all the five non-compensatory sub-criteria of food safety. Since ELECTRE is a non-compensatory MCDM method, it is therefore particularly applicable for disqualifying high risk fresh food suppliers from further full scale supplier performance evaluation by FAHP and TOPSIS. This hybrid business process decision model is able to capitalize on the strengths of these MCDM methods and offset their deficiencies. Findings This study uses data of an international supermarket chain to validate feasibility of the proposed model. Results indicate that this model is able to assess the non-compensating food safety sub-criteria via the ELECTRE method in order to disqualify fresh food suppliers that cannot reach the minimum threshold for low probable food safety failure. Only the preferred suppliers with the required food safety capability can proceed to the second stage of the supplier selection process. Assessment via the TOPSIS method reveals the ranking order of those top performing suppliers according to their relative scores along all the supplier selection criteria. The TOPSIS ranking results with the selection of the suppliers C, E, A, and F are robust and consistent across all the different scenarios. Practical implications Application to the fresh food industry is possible with the aid of the MCDM methods. The contribution to the body of knowledge in this teaching and research field demonstrates the importance of first identifying the order qualifier for disqualifying those suppliers that do not satisfy the food safety requirements via the ELECTRE method. The proposed assessment procedure complies with the regulatory policy on food safety, and would influence public policy in applying the best practice of food safety regulation. Without first qualifying the potential suppliers on the basis of food safety, wrong decision can be made to select those high food risk suppliers that have relatively higher overall scores in other supplier selection criteria. Using the assessment results has positive economic and commercial impact on the purchasing managers to formulate appropriate purchasing and supplier development strategy to enhance supplier’s food safety performance, whilst maximizing the overall supplier portfolio performance. The improved supplier’s food safety performance will certainly benefit the society’s quality of life as well. Originality/value Based on the analytical MCDM methods of FAHP, TOPSIS, and ELECTRE, purchasing managers can operationalize the Hill’s framework of order qualifier and winner that has primarily been used in the literature and manufacturing industry. This study represents the first move to innovatively apply the FAHP, TOPSIS, and ELECTRE methods to operationalize the Hill’s framework of order qualifier and winner that has primarily been used in the literature and manufacturing industry. Application to the fresh food industry to validate the feasibility of the proposed model has been conceived and implemented in this study. Analysis of the data inputs of a supermarket chain via the three MCDM methods generate the results that fulfill the purpose of achieving the research objective of identifying and managing the supplier base that can deliver the best supplier performance, conditional on first passing the fresh food safety test.
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Uluskan, Meryem, Jeffrey A. Joines, and A. Blanton Godfrey. "Comprehensive insight into supplier quality and the impact of quality strategies of suppliers on outsourcing decisions." Supply Chain Management: An International Journal 21, no. 1 (January 11, 2016): 92–102. http://dx.doi.org/10.1108/scm-04-2015-0140.
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Purpose – This study aims to provide a comprehensive insight into the role of the quality management (QM) systems in international suppliers (e.g. ISO, Total Quality Management, Lean and Six Sigma) on outsourcing decisions of buyer companies with regard to reshoring activities. Design/methodology/approach – By the means of a comprehensive survey data collected within USA textile and apparel industry, the authors identify four quality factors and compare these factors for international and domestic suppliers by the means of linear discriminant analysis (LDA) and consequently define a reshore vector. Next, the most-effective QM system within international suppliers is analyzed by the means of a new application based on LDA. Findings – The results reveal that international suppliers perform worse for all quality factors compared to domestic USA suppliers, which may leave the door open for reshoring activities. Furthermore, it is shown that Lean and Six Sigma within international suppliers lead to superior levels of quality because they are aligned along the most opposite directions against reshore vector. Therefore, it is claimed that Lean and Six Sigma within the international suppliers can inhibit reshoring activities of US companies. Practical implications – The willingness of US textile companies to assist their international suppliers and the challenges on this subject are discussed on the basis that supplier development (or quality management) programs can be strong alternatives to reshoring activities. Originality/value – QM systems in suppliers are analyzed with a new method within a new context based on reshore phenomenon, which provides an essential point of view for academic and industrial environments.
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Luthvina, Ridha, Rika Ampuh Hadiguna, and Jonrinaldi Jonrinaldi. "Implementasi Sistem Pendukung Pengambilan Keputusan pada Pembelian Bahan Olahan Karet dari Pemasok." Tapis : Jurnal Penelitian Ilmiah 3, no. 1 (June 30, 2019): 84. http://dx.doi.org/10.32332/tapis.v3i1.1469.
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The need for high-quality crumb rubber in West Sumatra tends to increase. However, the amount and quality of rubber from suppliers belong to weak caused by the bad monitoring systems, the supply cannot be met properly, and there is a lot of shrinkage in rubbers purchased by the company. Therefore this research was carried by implementing the Decision Support System (DSS) which was expected to help facilitate supplier data searches and evaluate the supplier's performance. The first stage in this research was designing DSS included the use of Unified Modeling Language (UML) diagram and database design. Next, built an applicable software using Personal Home Page (PHP), My Structured Query Language (MySQL), and Apache. An advantage of DSS designed was to accommodate differences and changes in rubber supplier assessment criteria according to the consideration of each crumb rubber industry in West Sumatra. There were 3 of 11 main crumb rubber criteria assessed. The results of these 3 criteria were obtained highest weight, namely Dryness (0.18), cleanliness (0.15), and consistency of quality (0.10). While the previous performance obtained the lowest weight (0.05). This meant that the criteria of dryness, cleanliness, and consistency of quality, will be the main considerations for companies in ranking and evaluating suppliers who work with companies.
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Azzat, Noor Nailie, and Mufidah Ulwiyatun Nafisah. "Penerapan Metode Analytical Hierarchy Process (AHP) untuk Menentukan Supplier Ikan Teri (Studi Kasus di PT. Urchindize Indonesia)." Jurnal Disprotek 10, no. 2 (July 6, 2019): 86–94. http://dx.doi.org/10.34001/jdpt.v10i2.1054.
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PT Urchindize has more than 35 anchovy suppliers, although the company has many suppliers, it still often encounters obstacles. The obstacle felt by the company is that the supplier has not been able to meet a number of standard criteria owned by the company. The company has not yet implemented the proper selection and assessment method for suppliers. Based on this, the company must select suppliers to get suppliers who are truly able to meet company needs consistently and with quality. Based on the results of data processing using the Analytical Hierarchy Process (AHP) method, obtained the most influential criteria in supplier selection in the following order of priority: price criteria, delivery criteria, quality criteria, supplier relationship criteria, service criteria and responsibility. While the right supplier in the selection of suppliers for PT. Urchindize namely Mr. Ali Yudin became the main priority with a weight of 0.181, second was Mr. Akhsan with a weight of 0.159, third was Mr. Sugiyanto with a weight of 0.141, fourth was Mr. Junaidi with a weight of 0.118, the fifth was Mr. Masdawi with a weight of 0.102, the sixth was is Mrs. Mustarikah with a weight of 0.081, seventh is Mr. Sofyan and Mr. Idris with a weight of 0.073, eighth is Mr. Yusman with a weight of 0.044, the last priority is Mr. Abdul Rokhman with a weight of 0.037.
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Li, Shuwen. "Research on the impact mechanism of user satisfaction with Software as a Service." MATEC Web of Conferences 176 (2018): 04002. http://dx.doi.org/10.1051/matecconf/201817604002.
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Software as a Service(SaaS)has become a mainstream way for enterprises and governments to promote informatization. However, it is very easy for users to change their SaaS supplier due to low implementation costs. Improving user satisfaction with SaaS products and ensuring their continued usage by users present practical challenges that SaaS suppliers cannot ignore. The traditional information system success model only pays attention to the quality of products which is known as internal quality. This paper combines the internal quality features of SaaS with the suppliers’ quality and environmental quality. These two qualities constitute external quality, which also affect user satisfaction. The study comprehensively explores the impact mechanism of SaaS user satisfaction based on the integrated perspective of internal quality and external quality. We use SPSS23.0 and SmartPLS to examine the hypothesis with data from 212 valid questionnaires. The study finds that system, information, service, supplier, and environmental quality have a significant effect on user satisfaction, and the influence of service quality is the greatest.
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Juettner, Uta, Katharina Windler, André Podleisek, Maya Gander, and Sandrina Meldau. "Implementing supplier management strategies for supply chain sustainability risks in multinational companies." TQM Journal 32, no. 5 (April 5, 2020): 923–38. http://dx.doi.org/10.1108/tqm-05-2019-0136.
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PurposeIn a time where stakeholders increasingly demand social, environmental, and economic sustainability, mismanaging suppliers can impose substantial sustainability risks for a company and harm its reputation and business severely. This research explores the implementation of a corporate sustainable supplier strategy designed to cope with such risks from an agency theory perspective.Design/methodology/approachA case study of a multinational enterprise, a provider of leading mobility solutions in the realm of escalators, moving walkways and elevators, is conducted. Data is collected from multiple sources of evidence, including strategy documents, a focus group and semi-structured interviews.FindingsThe study identifies several implementation challenges and coping mechanisms in firstly, the agency relationships between the headquarter and the regional subsidiary units and secondly, the relationships between the regional subsidiary units and their suppliers.Research limitations/implicationsA framework conceptualising the implementation of sustainable supplier strategies is proposed. The framework positions the topic at the interface between supply chain sustainability risk, supplier quality management as well as agency relationships and identifies avenues for further research. The key limitations refer to the single case study methodology and the exclusion of suppliers in the data collection approach.Practical implicationsThe proposed framework can support multinational enterprises in developing corporate sustainability strategies and in implementing them in the supplier network.Originality/valueThe originality of the framework lies in the integrated approach combining supply chain sustainability risk, supplier quality management and triadic agency relationships.
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Sambudi, Estu Adi. "Analisa pemilihan supplier dengan metode Analytic Hierarchy Process: Kasus Perusahaan Otomotif di Sunter." Operations Excellence: Journal of Applied Industrial Engineering 11, no. 3 (December 10, 2019): 322. http://dx.doi.org/10.22441/oe.v11.3.2019.040.
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The selection of a competent supplier is the one important factor to be able to compete with other companies. PT. XYZ, a company located in Sunter, is engaged in automotive manufacturing. In the period of 2017 PT. XYZ has several lines stop due to several factors, such as the delivery of raw materials which is often late, resulting in the availability of raw materials on the production line is less, incompatibility the goods compared to the specifications. Eight of them are stamping suppliers. The purpose of this study is to design an AHP (Analytic Hierarchy Process) model that can be used to determine the criteria and the score of that, also determine the alternative suppliers which are the main priority in selecting supplier stamping. Based on the data processing using the AHP method, obtained 5 criteria, Quality, price, delivery, capability, and service. The highest criteria’s value is quality with score 30%. While the priority of stamping supplier is PT C (12,49) and PT E is the supplier which is not prioritized because it is in the lowest position (5,68).
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Saraswati, Ensi, and Suadi. "Fish Supply Chain Model in Traditional Market: Case Study of Beringharjo Market Yogyakarta." E3S Web of Conferences 147 (2020): 02007. http://dx.doi.org/10.1051/e3sconf/202014702007.
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This research aimed to understand the flow of fish commodity, information, and financial in the fish supply chain at the traditional market, through case study in the Beringharjo market Yogyakarta. Data was collected through systematic interview with 18 fish businesspersons and observation on the study site. The study showed fish commodities in the market consisted of marine, freshwater and processed fish (salted/dried fish and soft bone milkfish/bandeng presto). The fish majorly supplied by suppliers from outside Yogyakarta, that reached 86-90% for fresh fish (marine and freshwater) and 100% for salted fish and raw material of bandeng presto. Suppliers and traders in Beringharjo market used flexible methods of payment, such as manual receipt and trust-based relation (for instance pay on other day). The suppliers and traders had been work together for more than five years. The emerging problems were the lack of fresh fish supply and the low quality of processed fish. The supply chain model for fresh fish involved three stages (supplier-seller-ultimate customer/household) and the supply chain model for processed fish in four stages (supplier-wholesaler-trader/seller-ultimate consumer). The supply chain model for the milkfish also consisted of four stages (supplier-fish processor-seller-ultimate consumer). The study indicates the importance of improving local fish production systems to fullfill growing fish consumption in DIY.
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Banaeian, Narges, Izabela Ewa Nielsen, Hossein Mobli, and Mahmoud Omid. "Green Supplier Selection in Edible oil Production by a Hybrid Model Using Delphi Method and Green Data Envelopment Analysis (GDEA)." Management and Production Engineering Review 5, no. 4 (December 10, 2014): 3–8. http://dx.doi.org/10.2478/mper-2014-0030.
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Abstract An organization's environmental performance is affected by its suppliers' environmental performance, and selecting green suppliers is a strategic decision in order to be more competitive in today's global market. By developing green movement across the globe, organizations are under pressure to reduce the emissions across their supply chain. Formerly the food production systems was oriented and optimized to satisfy economic demands and the nutritional needs of a rapidly growing world population. The food production industry requires large inputs of resources and causes several negative environmental effects. In recent years, environment factors rapidly emerging as an important issue for decision makers in food industries. This study identifies best supplier in holistic perspective for edible oil production, and proposes a hybrid model using Delphi method and Green Data Envelopment Analysis (GDEA). Delphi method identifies the main criteria influenced in supplier selection process based on opinion of company purchase experts. GDEA evaluates the overall performances of suppliers and choose green supplier. Proposed hybrid model applied to a well-known company who produce edible oil (palm, soybean and olive oil) to evaluate green suppliers (among 13 main potential suppliers). Delphi questionnaire included 17 factors which were from financial, services, qualitative and environmental factors. The factors with the highest Delphi score (raw material price, quality, delivery and carbon footprint) entered in DEA model and high efficiency suppliers selected. Results showed that the most efficient raw oil suppliers of company are: S4 among soybean oil suppliers, P1 among palm oil suppliers and O3 among olive oil suppliers. Also palm oil not only has fewer price and carbon footprint but also the highest mean efficiency.
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Khairun Nisa, Addien Agustina, Subiyanto Subiyanto, and Sri Sukamta. "Penggunaan Analytical Hierarchy Process (AHP) Untuk Pemilihan Supplier Bahan Baku." JURNAL SISTEM INFORMASI BISNIS 9, no. 1 (June 10, 2019): 86. http://dx.doi.org/10.21456/vol9iss1pp86-93.
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The purpose of this paper is to present a decision support system supplier selection of food industry raw materials especially cake and bakery, by using new technology that is famous for its robustness that is Analytical Hierarchy Process (AHP). The importance of this research is to find a new varian of the AHP application, therefore increase scientific literature related the method especially for cake and bakery industrial. Furthemore, to provide a reference of selecting raw materials supplier methods in the industry. The model starts by identifying the main criteria (quality, price, delivery, and service) using the main criteria ranking based on the opinions of experts using AHP. The second stage is identifying the sub criteria (materials supplied halal and equipped with halal certificates, sample tests and physical observations, price of goods, maximum and continuous capacity and supply capacity, discount price levels and certain purchases, the existence of supplier offices and cooperation and reference commitments) and their ranking based on the main criteria. The results of this study indicate that the Analytical Hierarchy Process (AHP) method can produce a decision support system that the right results according to field data at Virgin Cake and Bakery. The results of this study indicate that overall the best supplier to be chosen by the company to be use as a long-term co-worker is supplier A because overall this supplier has the highest value compared to the other three suppliers.
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Rahmiati, Filda, H. M. Yani Syafei, Purwanto Purwanto, and Jonathan Andianto. "Ceramic supplier selection using analytical hierarchy process method." International Journal of Industrial Optimization 2, no. 2 (September 1, 2021): 113. http://dx.doi.org/10.12928/ijio.v2i2.4406.
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This study tried to implement the Analytical Hierarchy Process (AHP) and the weights of the criteria and sub-criteria to find the best supplier. According to QCDFR (quality, cost, delivery, flexibility, and responsiveness). This study took place in one of the biggest tile producers, ranks fifth in the world and the first in Indonesia. However, the company currently only uses quality, cost, and delivery methods to choose the best supplier of raw material, namely feldspar. This research tries to use the systematic method to find the best supplier based on the importance of the criteria. The method used the quantitative approach to enumerate the data to analyze the information. The company analyzed six suppliers. The primary tool used in this research is a Super Decision Software version 3.2 to create and manage the AHP model, enter the judgments, get results, and perform sensitivity analysis on the results. The result found that Semarang is the best supplier. The company will choose Semarang to become the company's business partner compared to the other suppliers because Semarang has met the criteria that the company prioritizes the most. By having the best supplier selection, the company can provide the right material consistency and suitable material suitability.
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Fanita, Dina, and Bosker Sinaga. "Supplier Selection Decision Support System Drug Wighted Methods Product (WP)." Journal Of Computer Networks, Architecture and High Performance Computing 2, no. 1 (January 1, 2020): 135–39. http://dx.doi.org/10.47709/cnapc.v2i1.377.
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Supplier is very important for companies in services or goods, as well as parts procurement of medicines a Hospital, Hospital GrandMed is one of the largest hospital in Deli Serdang it's important to select suppliers for the procurement of drugs to be maintained and sustained quality of drug availabilitydrug and drug procurement logistics section to selectively choose a supplier with specific criteria so that the process of drug procurement at the Hospital GrandMed running properly and efficiently. The purpose of this study is to develop a decision support system to determine which is the best supplier priority Hospital medicine order so that can always keep the availability of drugs in terms of both the quality of medicines, price and delivery time. Data supplier in view of the historical kesupplier reservations about the company address, price, variants possessed drugs and drug quality and backed by the method of Weighted Product to support the decision which supplier to choose a priority determination. The results of this research program is to create a ranking and determination in the supplier selection GrandMed Hospital.Supplier selection decision support system with Weigthed method GranMed Product Hospital has been able to be built with UML and created with Visual Basic programming language in 2008.
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Tseng, Ming-Lang, Chih-Cheng Chen, Kuo-Jui Wu, and Raymond Tan. "Eco-efficient sustainable service supply chain management hierarchical model based on qualitative information and quantitative data." Management of Environmental Quality: An International Journal 31, no. 4 (May 18, 2020): 961–84. http://dx.doi.org/10.1108/meq-08-2019-0179.
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PurposeThis study integrates economic/ecology (eco)-attributes and performance to build a sustainable service supply chain management (SSCM) model.Design/methodology/approachThis study proposes the use of the fuzzy Delphi method to screen for the less important attributes and applies a network data envelopment analysis to explore the hierarchical and eco-efficient network interrelationships. The causality and hierarchal eco-efficient model is acquired using a fuzzy decision-making trial and evaluation laboratory analysisFindingsThe findings are as follows: (1) the information and technology management process is derived by enhancing sustainable customer and supplier relationship management, and (2) the eco-efficient model is improved based on long-term relationships with suppliers – that is, synergistic suppliers improve the service chain quality and provide services in an appropriate and timely manner – and research and development coordination. The theoretical and managerial implications are discussed.Research limitations/implicationsThe eco-efficient model reveals that the sustainable customer relationship management process, sustainable supplier relationship management process and information and technology management process are the major causal attributes in the model.Practical implicationsThe eco-efficient model must be based on (1) long-term relationships with suppliers, (2) synergistic suppliers to improve service chain quality, (3) the provision of services in a timely manner and (4) research and development coordination.Originality/valuePrior studies neglect to build an ecological economy model using the efficiency causality model of hierarchical interrelationships. Traditional SSCM fails to involve the triple bottom line performance toward sustainability.
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DhaifAllah, Bakil, Sofiah Md-Auzair, Ruhanita Maelah, and Md Daud Ismail. "The effect of product complexity and communication quality on IOCM and OBA in buyer– supplier relationships." Journal of Accounting & Organizational Change 16, no. 1 (December 4, 2019): 1–29. http://dx.doi.org/10.1108/jaoc-04-2017-0035.
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Purpose This paper aims to investigate the effect of product complexity and communication quality on inter-organizational cost management (IOCM) and open book accounting (OBA) practices in buyer–supplier relationships in Malaysian manufacturing firms. Design/methodology/approach A questionnaire survey was administrated to CFOs or accounting managers of Malaysian suppliers. Exploratory factor analysis and Structural Equation Modeling procedures were applied to test convergent and discriminant validity of the measurement model and examine the relationships among the latent constructs in the structural model. Findings The results suggest that IOCM and OBA scales show acceptable reliability and validity. The findings also report that both product complexity and communication quality have a positive effect on IOCM and OBA in buyer–supplier relationships. However, the results suggest that IOCM does not influence OBA practice. Research limitations/implications Although IOCM and OBA constructs exhibited satisfactory reliability and validity, future research is required to refine and further validate these constructs. The data were only collected from the supplier’s perspective. Thus, future research is invited to benefit from matched data from both suppliers and buyers to generate additional insights on IOCM and OBA. Practical implications This study may assist suppliers and buyers in relationships by suggesting that complex products require the adoption of IOCM and OBA practices to reduce information asymmetries and manage costs. Furthermore, emphasizing quality of communication may enhance the implementation of these practices. Originality/value Theoretically, this study contributes to the academic stream of management accounting and cost management as it enhances an understanding of contributions introduced in prior literature on IOCM and OBA. It uses a complementary approach of transaction cost theory (TCT) and social exchange theory (SET) to explain the research model. Methodologically, the study validated scales for measuring IOCM and OBA in a new environment.
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Prasad h c, Shiva, Giridhar Kamath, Gopalkrishna Barkur, and Rakesh Naik. "Does supplier evaluation impact process improvement?" Journal of Industrial Engineering and Management 9, no. 3 (September 14, 2016): 708. http://dx.doi.org/10.3926/jiem.1777.
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Purpose: The research explores and examines factors for supplier evaluation and its impact on process improvement particularly aiming on a steel pipe manufacturing firm in Gujarat, India.Design/Methodology/approach: The conceptual research framework was developed and hypotheses were stated considering the analysis of literature and discussions with the managers and engineers of a steel pipe manufacturing company in Gujarat, India. Data was collected using in-depth interview. The questionnaire primarily involves the perception of evaluation of supplier. Factors influencing supplier evaluation and its influence on process improvement is also examined in this study. The model testing and validation was done using partial least square method. Outcomes signified that the factors that influence evaluation of the supplier are quality, cost, delivery and supplier relationship management.Findings: The study depicted that quality and cost factors for supplier evaluation are insignificant. The delivery and supplier relationship management have significant influence on evaluation of the supplier. The research also depicted that supplier evaluation has significant influence on process improvement.Research limitations/implications: The study has been made specifically for ABC steel pipe manufacturing industry in Gujarat, India and may not be appropriate to the other industries or any parts of the world. There is a possibility of response bias as the conclusions of this research was interpreted on survey responses taken from the employees of case study company, so it is suggested that future research can overcome this problem by employing various methodologies in addition to surveys like carrying out focus group and in-depth interviews, brainstorming sessions with the experts etc.Originality/value: Many researchers have considered quality, cost and delivery as the factors for evaluating the suppliers. But for a company it is quintessential to have good relationship with the supplier. Hence, the factor, supplier relationship management is considered for the study. Also, the case study company focused more on quality and cost factors for the supplier evaluation of the firm. However delivery and supplier relationship management are also equally important for a firm in evaluating the supplier.
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Kim, Hyun Jung, Jiyoon Son, and Soo Wook Kim. "Strategy for Improving Efficiency of Supply Chain Quality Management in Buyer-Supplier Dyads: The Suppliers’ Perspective." Mathematical Problems in Engineering 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/8641702.
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This study analyzes the efficiency of supply chain quality management (SCQM) by grouping buyers and suppliers and conducting an empirical analysis of aspects affecting SCQM efficiency from the supplier’s perspective. Two stages of data analysis were conducted: (1) classify buyer and supplier efficiency by means of data envelopment analysis (DEA) and sort the data results into a2×2matrix and (2) conduct a statistical analysis to verify influential aspects. The results depict the average value of Group I to be higher than that of Group II, while the average value of Group IV was found to be much lower than that of Group III. In addition, specific aspects have a significant impact on certain groups: Groups I and II are affected by infrastructure, delivery of quality, talent development, and risk management in that order; Groups II and III are likewise influenced by risk management, talent development, and delivery of quality, whereas Groups III and IV are influenced by talent development, delivery of quality, and risk management in that order.
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Kelly, Stephen, Donna Marshall, Helen Walker, and John Israilidis. "Supplier satisfaction with public sector competitive tendering processes." Journal of Public Procurement 21, no. 2 (June 10, 2021): 183–205. http://dx.doi.org/10.1108/jopp-12-2020-0088.
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Purpose This paper aims to explore the supplier perspective on competitive tendering processes and build on an increasing and developing interest in supplier satisfaction with public sector procurement activities. Design/methodology/approach Qualitative data was collected from 20 interviews with a variety of suppliers to the UK public sector, which was then analysed using Nvivo and a series of empirically supported propositions developed. Findings The findings are combined into an integrated supplier satisfaction model, which explains how a multi-layered set of expectations (past and ideal) and quality dimensions (fairness, ambiguity, unnecessary information, tender focus, relationship irrelevance, unresponsiveness, outcome success) lead to dissatisfaction. This paper also establishes the implications of these judgments (non-response, poor quality and relationship impact) and that they are impacted by comparison to alternatives. Practical implications Supplier dissatisfaction can have serious ramifications for public sector buying organisations by reducing the pool of applicants, creating relationship barriers and a disconnect between the tender and the eventual services provided. This paper gives empirically derived advice to managers and policymakers on how to avoid these issues. Social implications Ensuring that as wide a pool of possible suppliers can respond to tender requests, means that the services that are provided by the public sector can make the most effective and efficient use of available resources. In addition, small to medium-sized enterprises may be encouraged to overcome their feelings of dissatisfaction and respond more frequently and readily to tender requests. Originality/value This paper contributes to the field of public sector procurement and in particular that which looks at increasing supplier satisfaction, by developing a supplier satisfaction model based on supplier generated data, which uses disconfirmation theory to explain the dynamics of how individuals make judgments by comparing perceptions of performance with a multi-layered set of expectations. This paper identifies service quality dimensions that influence satisfaction judgments and the implications of these judgments.
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Nugroho, Muhammad Zuhdi Prasetyo. "Penerapan lean manufacturing untuk meningkatkan kinerja procurement dengan analisa performance supplier pada kasus industri baja." Operations Excellence: Journal of Applied Industrial Engineering 12, no. 2 (July 20, 2020): 169. http://dx.doi.org/10.22441/oe.2020.v12.i2.003.
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The steel industry is classified as a strategic industry that supports many industries, due to continuous national development. The steel industry must improve the quality of its production processes in order to increase its competiveness. One factor that supports the stability of the production process is the procurement process. To overcome the problem, the TOPSIS method is used to analyze supplier performance as a basis for determining supplier selection during the procurement process. Data is taken from the results of the questionnaire from the Material Procurement Division and the Vendor Management Office with criteria of price, quality, delivery time, suitability of the goods and Supplier Professionalism, and by choosing five alternative suppliers who are active in supplying goods. From the results of the questionnaire created a normalized matrix. Form the matrix determined distance with positive solution and negative solution alternative so we get a preference value for each alternative, and obtained PT. Siemen as a supplier with the closest relative proximity with a value of 0.6469.