Academic literature on the topic 'RATING OF SUPPLIERS'

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Journal articles on the topic "RATING OF SUPPLIERS"

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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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Dissertations / Theses on the topic "RATING OF SUPPLIERS"

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Zábranská, Barbora. "Aplikace fuzzy logiky pro vyhodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-444551.

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This Master’s thesis presents a design of models which are intended for evaluation of Braintrast’s suppliers. Based on the evaluation, there is selected the most optimal supplier according to parameters. The model uses fuzzy logic theory to support decision making. The solution is designed in programs MATLAB and MS Excel.
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Kučerka, Daniel. "Aplikace fuzzy logiky při hodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2009. http://www.nusl.cz/ntk/nusl-222127.

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This diploma thesis deals with the process of company supplier selection in the florist Dagmar. Several methods solving similar problems with different tools have been described. The group of potential suppliers has been introduced and their most important features summarized for the purpose of this work. The main part is focused on the evaluation of the suppliers according to specified metrics by the method using fuzzy logic and Matlab simulation tool. The results of this work leads to suggestion of the supplier most suitable for florist and its business strategy.
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Hrnčířová, Jaroslava. "Aplikace fuzzy logiky při hodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2007. http://www.nusl.cz/ntk/nusl-221522.

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This Master’s thesis analyses the problems connected with the selection of suitable supplier. It includes the proposal of the method of rating of suppliers. It can ensure the selection of optimal supplier for the firm.
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Peřinka, Zdeněk. "Vyhodnocení dodavatelského rizika s pomocí fuzzy logiky." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2009. http://www.nusl.cz/ntk/nusl-264858.

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In the Master’s thesis I am deal with the proposal of sophisticated method for suppliers rating. The thesis analyses the supply environment of business company and characterizes the problems related to suppliers rating and choosing. The object of my Master’s thesis is the elaboration of the models for suppliers rating on the basis of fuzzy logic. These models should successfully solve the questions of suppliers rating as suitable method for minimizing of risk of suppliers.
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Jančíková, Iva. "Aplikace fuzzy logiky při hodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2007. http://www.nusl.cz/ntk/nusl-221575.

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This Diploma thesis analysis the supply environment of VKV HORÁK s.r.o. according to the requirements of the quality management ISO 9001:2001 regarding the suppliers rating. The thesis also analyses the present way of suppliers rating and brings new, more sofisticated model of rating using the fuzzy logic. The new method should succesfully solve the questions of suppliers rating and should be suitable for the firm according to the resources needed for its application.
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Pokorný, Tomáš. "Aplikace fuzzy logiky při hodnocení dodavatelů." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224722.

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This diploma thesis deals with the design of models for rating of suppliers in public procurement tender. Describes used methods and procedures for the rating of suppliers using fuzzy logic and fuzzy sets. The goal is to design a functional and comprehensible model, possible to use repeatedly with small variations.
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Bendová, Kateřina. "Aplikace fuzzy logiky pro vyhodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2020. http://www.nusl.cz/ntk/nusl-417709.

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The master‘s thesis deals with the use of fuzzy model in the evaluation of television suppliers. This model is used for easier and faster decision when choosing a suplier for a particular commission. The fuzzy model is created on the basis of criteria that are essential for the company. This model is designed by MS Excel and MathWorks MATLAB.
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Ilgner, Tomáš. "Aplikace fuzzy logiky pro vyhodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2018. http://www.nusl.cz/ntk/nusl-377383.

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Master Thesis deals with supplier rating with usage of fuzzy logic as an advanced decision-making method. There was made a model for selection of the optimal technologies supplier for a self-service vehicle wash. The main solution is realized with support of programs MS Excel and MATLAB.
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Kutláková, Klára. "Aplikace fuzzy logiky při hodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241171.

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Master's thesis deals with a design of models that allow selection of the most suitable contractor for construction of a company's new branch. Models are based on utilization of basic principles of fuzzy logic. Proposed fuzzy models allow evaluation of individual offers and serve as support in decision-making process.
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Mandincová, Veronika. "Aplikace fuzzy logiky při hodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-318626.

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This master thesis deals with the use of fuzzy model to evaluate of construction companies. This model is used for easier and faster way to decide which of the contenders for the reconstruction of the block of flats is most suitable. The fuzzy model is created based on requirements of the community owners of the block of flats and is processed in Microsoft Excel and MathWorks MATLAB.
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Books on the topic "RATING OF SUPPLIERS"

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Company, Ford Motor. Worldwide supplier quality rating system. Dearborn: Ford, 1990.

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Air Movement and Control Association. AMCA directory of agricultural products with certified ratings. Arlington Heights, Ill: Air Movement and Control Association, 2003., 2003.

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DOE/NBS Forum on Testing and Rating Procedures for Consumer Products (1985 Gaithersburg, Md.). DOE/NBS Forum on Testing and Rating Procedures for Consumer Products, October 2-3, 1985. Edited by Dikkers R. D and United States. National Bureau of Standards. Gaithersburg, Md: U.S. Dept. of Commerce, National Bureau of Standards, 1986.

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DOE/NBS Forum on Testing and Rating Procedures for Consumer Products (1985 Gaithersburg, Md.). DOE/NBS Forum on Testing and Rating Procedures for Consumer Products, October 2-3, 1985. Edited by Dikkers R. D and United States. National Bureau of Standards. Gaithersburg, Md: U.S. Dept. of Commerce, National Bureau of Standards, 1986.

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Holtz, W. Bradley. The CAD rating guide: A tool for the evaluation of computer-aided design systems : a comprehensive comparison of over 100 CAD products. Scarborough, Me: DSR Pub. Co., 1989.

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Plody li͡u︡bimykh dum: Kniga stikhov. Sankt-Peterburg: "Lio Redaktor", 2002.

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Neil, Smith. Shopping for safer boat care: 97 health and environmental ratings. Camden, Me: International Marine, 1997.

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Thomas, Bock, ed. Rations of the German Wehrmacht in World War II. Atglen, PA: Schiffer Pub., 2010.

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Tobin, Joan Bernadette. An analysis of world class supplier strategic alliance programmes in an attempt to propose a comprehensive approach to a world class vendor rating system. [s.l: The Author], 1995.

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The CAD rating guide: A tool for the evaluation of computer-aided design systems, including FEM, GIS, and animation systems : a comprehensive comparison of over 100 CAD Systems. 3rd ed. Bethesda, MD: ZEM Press, 1993.

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Book chapters on the topic "RATING OF SUPPLIERS"

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Oged, M., D. G. Warner, and E. Gurbuz. "Supplier Performance Evaluation and Rating System (Spears)." In Supercollider 5, 291–94. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2439-7_69.

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Rice, Gareth, James Taplin, Saul Jamieson, Ilka Weiβbrod, Helen McKerrow, and Thalia Vounaki. "Eco-Rating; Communicating Sustainability to ICT Consumers, and Rewarding Supplier Product-Design Leadership." In Design for Innovative Value Towards a Sustainable Society, 483–88. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-3010-6_92.

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Goswami, Shankha Shubhra, Dhiren Kumar Behera, and Soupayan Mitra. "Supplier Selection Problem by Applying Additive Ratio Assessment (ARAS) Methodology." In Advances in Thermal Engineering, Manufacturing, and Production Management, 369–82. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2347-9_32.

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Wongthatsanekorn, Wuthichai, and Nuntana Matheekrieangkrai. "Bee Algorithm for Solving Yield Optimization Problem for Hard Disk Drive Component under Budget and Supplier’s Rating Constraints and Hueristic Performance Comparison." In Intelligent Automation and Systems Engineering, 203–16. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0373-9_16.

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Turgo, Nelson. "A Taste of the Sea: Artisanal Fishing Communities in the Philippines." In The World of the Seafarer, 9–22. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49825-2_2.

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AbstractThe Philippines remains one of the top suppliers of seafarers to the global merchant fleet. In the 2015 BIMCO Manpower Report on seafarer supply countries, the Philippines ranked first for ratings and second for officers with 363,832 Filipino seafarers deployed to ocean-going merchant vessels in 2014 and accounting for 28% of the global supply of seafarers (MARINA 2015). Seafarers are crucial in keeping the Philippine economy afloat and in 2018, Filipino seafarers sent home USD 6.14 billion (Hellenic Shipping News 2019), accounting for about a fifth of the USD 32.2 billion overseas workers sent home that year (Inquirer 2019). The Philippines has developed as a major player in the crewing sector of the global maritime industry primarily because of its maritime history (Giraldez 2015; Mercene 2007; Schurz 1939), its maritime geography and the continued centrality of the sea to many people’s lives (as attested to by the presence of the myriad fishing communities dotted around the many islands of the country) (Warren 2003, 2007), the economic liberalisation of the 1970s and the concomitant institutionalisation of the labour export policies as enacted by Philippine governments since the presidency of Ferdinand Marcos whose latter policy saw many Filipinos seeking employment overseas (Asis 2017; Kaur 2016; Wozniak 2015).
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"Supplier Selection and Ratings." In Materials Management, 143–46. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119198208.ch18.

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Ulutas, Alptekin. "Using of Fuzzy SWARA and Fuzzy ARAS Methods to Solve Supplier Selection Problem." In Theoretical and Applied Mathematics in International Business, 136–48. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-8458-2.ch008.

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As the performance of suppliers directly or indirectly affects the performance of the companies with which they engage, working with the most suitable supplier has become the key to success for companies. When solving the supplier selection problem, many different criteria involving qualitative and quantitative criteria are considered. Therefore, the supplier selection problem is considered an MCDM problem. These criteria can include uncertain and imprecise data. Additionally, the judgments of many managers are considered in supplier selection problems. Thus, in this chapter, a fuzzy group integrated model including Fuzzy SWARA (step-wise weight assessment ratio analysis) and Fuzzy ARAS (additive ratio assessment) is proposed to select the best supplier. This study contributes to the extant literature since these two methods were not used in the past to solve any problems together. The proposed model is applied to a Turkish textile company.
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Maniktala, Sanjaya. "Component Ratings, Stresses, Reliability, and Life." In Switching Power Supplies A - Z, 241–80. Elsevier, 2012. http://dx.doi.org/10.1016/b978-0-12-386533-5.00006-1.

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Murthy, Sudhir Rama, Mike Barry, and Justine Esta Ellis. "Marks & Spencer." In Putting Purpose Into Practice, 268–76. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198870708.003.0021.

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The case of Marks & Spencer illustrates how a company has used a sustainability scorecard that awards provisional, bronze, silver, and gold ratings to participating suppliers to promote its sustainability programme. The scores are based on environment, human resources and ethical trade, and lean manufacturing. Suppliers undertake self-assessments of the scorecard at least once a year, which are subject to audit and assurance. The programme has delivered substantial savings through waste reduction and environmental efficiency amounting to over £600 million since 2007.
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Goletsis, Y., C. Papaloukas, Th Exarhos, and C. D. Katsis. "Bankruptcy Prediction through Artificial Intelligence." In Machine Learning, 684–93. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-818-7.ch320.

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Bankruptcy prediction or corporate failure is considered a classic issue in both, academic and business communities. Bankruptcy risk is one of the most important factors (if not the most important one) to be considered when credit requests are screened or even existing debtors are evaluated. On the other hand, all potential stakeholders (shareholders, suppliers, customers, employees, creditors, auditors, etc.) have potential interest to identify if a company is on a trajectory that is tending towards failure. Commercial banks, public accounting firms and other institutional entities (e.g., bond rating agencies) appear to be the primary beneficiaries of accurate bankruptcy prediction, since they can use research results to minimize exposure to potential client failures. In addition to avoiding potentially troubled obligors, the research can also benefit in other ways. It can help in accurately assessing the credit risk of bank loan portfolios. Credit risk has been the subject of much research activity, since the regulators are acknowledging the need and are urging the banks to assess the credit risk in their portfolios. Measuring the credit risk accurately also allows banks to engineer future lending transactions, so as to achieve targeted return/risk characteristics. The other benefit of the prediction of bankruptcies is for accounting firms. If an accounting firm audits a potentially troubled firm, and misses giving a warning signal then it faces costly lawsuits (Atiya, 2001). A series of techniques have been applied in literature. Econometric / statistical methods have first appeared in literature: In late 1960’s (multiple) discriminant analysis (DA) was the dominant method; during the 1980’s logistic analysis. In the 1990’s artificial intelligence starts appearing in financial literature with neural networks (Odom & Sharda 1990) serving as an alternative to statistical methods demonstrating promising results. The goal of this chapter is therefore two-fold: First, it intends to give an overview of the artificial intelligence techniques successfully applied to the problem, ranging from the first neural network applications to recent applications of biologically inspired algorithms, such as genetic algorithms. Then, two kernel based methods, namely the Radial Basis Function Neural Networks and the Support Vector Machines are applied to the bankruptcy problem.
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Conference papers on the topic "RATING OF SUPPLIERS"

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Zhao, Yonggang, and Limin Xu. "Fuzzy Comprehensive Evaluation on the Credit Rating of Manufacturing Enterprises' Suppliers Based on Improved Algorithm." In 2009 Second International Conference on Future Information Technology and Management Engineering (FITME). IEEE, 2009. http://dx.doi.org/10.1109/fitme.2009.144.

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Dianawati, Fauzia, and Deska Hanandira. "Rating of Suppliers on Aircraft Parts Procurement Using DEMATEL-Based ANP and Simple Additive Weight Methods." In ICIBE' 18: 2018 4th International Conference on Industrial and Business Engineering. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3288155.3288168.

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Molina, Paula Bastida, David Ribó-Pérez, Lina Montuori, and Carlos Vargas-Salgado. "“Innovation, creativity and entrepreneurship” transversal competence evaluation by technical-economic analysis of commercial electrical transformers." In INNODOCT 2019. Valencia: Universitat Politècnica de València, 2019. http://dx.doi.org/10.4995/inn2019.2019.10115.

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“Innovation, creativity, and entrepreneurship” transversal competence evaluation method (CT04-UPV) used in Electrical Machines course (2nd course, Electrical Engineering Degree) is described in this paper. Its evaluation activity consists of a technical and economic analysis of different commercial electrical transformers, carried out by the students. To this end, students get in touch with electrical suppliers, obtaining real transformers data. With this data, they can calculate transformers efficiency through its energy losses and the economic cost that these losses suppose in a period of 10 years. In this way, students are able to question reality, identifying the existing necessity of evaluating not only its initial cost but also economic cost generated by its energy losses when selecting a transformer. With this method, CT04-UPV learning outcome referred to the 1st domain level is achieved: to question the reality, identifying improvement necessities and generating added value ideas. This methodology has been applied for the last three years in the course. In each year, students marks have been graded by the professor using a rubric. Results indicate that “innovation, creativity, and entrepreneurship” transversal competence learning outcome is satisfactorily reached by students. Moreover, rating survey answered by students, using Google Forms, shows that their level of satisfaction is very high.
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Banerjee, Ashis Gopal, Walter Yund, Dan Yang, Peter Koudal, John Carbone, and Joseph Salvo. "A Hybrid Statistical Method for Accurate Prediction of Supplier Delivery Times of Aircraft Engine Parts." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47605.

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Aircraft engine assembly operations require thousands of parts provided by several geographically distributed suppliers. A majority of the operation steps are sequential, necessitating the availability of all the parts at appropriate times for these steps to be completed successfully. Thus, being able to accurately predict the availabilities of parts based on supplier deliveries is critical to minimizing the delays in meeting the customer demands. However, such accurate prediction is challenging due to the large lead times of these parts, limited knowledge of supplier capacities and capabilities, macroeconomic trends affecting material procurement and transportation times, and unreliable delivery date estimates provided by the suppliers themselves. We address these challenges by developing a statistical method that learns a hybrid stepwise regression — generalized multivariate gamma distribution model from historical transactional data on closed part purchase orders and is able to infer part delivery dates sufficiently before the supplier-promised delivery dates for open purchase orders. The hybrid form of the model makes it robust to data quality and short-term temporal effects as well as biased toward overestimating rather than underestimating the part delivery dates. Test results on real-world purchase orders demonstrate effective performance with low prediction errors and constantly high ratios of true positive to false positive predictions.
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Akanmu, Abiola, and Bushra Asfari. "Decision Support System for Material Selection based on Supplier Rating." In 33th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 2016. http://dx.doi.org/10.22260/isarc2016/0108.

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Andreichicova, Olga, and Alexander Andreichicov. "ANP and Ratings Model Applied to Supplier Selection Problem." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2009. http://dx.doi.org/10.13033/isahp.y2009.023.

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Burd, Steven W., and Terrence W. Simon. "The Influence of Coolant Supply Geometry on Film Coolant Exit Flow and Surface Adiabatic Effectiveness." In ASME 1997 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/97-gt-025.

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Experimental hot-wire anemometry and thermocouple measurements are taken to document the sensitivity which film cooling performance has to the hole length and the geometry of the plenum which supplies cooling flow to the holes. This sensitivity is described in terms of the effects these geometric features have on hole-exit velocity and turbulence intensity distributions and on adiabatic effectiveness values on the surface downstream. These measurements were taken under high freestream turbulence intensity (12%) conditions, representative of operating gas turbine engines. Coolant is supplied to the film cooling holes by means of (1) an unrestricted plenum, (2) a plenum which restricts the flow approaching the holes, forcing it to flow co-current with the freestream, and (3) a plenum which forces the flow to approach the holes counter-current with the freestream. Short-hole (L/D = 2.3) and long-hole (L/D = 7.0) comparisons are made. The geometry has a single row of film cooling holes with 35°-inclined streamwise injection. The film cooling flow is supplied at the same temperature as that of the freestream for hole-exit measurements and 10°C above the freestream temperature for adiabatic effectiveness measurements, yielding density ratios in the range 0.96–1.0. Two coolant-to-freestream velocity ratios, 0.5 and 1.0, are investigated. The results document the effects of (1) supply plenum geometry, (2) velocity ratio, and (3) hole L/D.
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Das, Partha Protim, Tshering Yanki Ladakhi, Saurabh Sharma, and Adheesh Patwardhan. "Supplier selection using multi-objective optimization based on ratio analysis." In PROCEEDINGS OF ADVANCED MATERIAL, ENGINEERING & TECHNOLOGY. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0024464.

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Erfaisalsyah, M. H., A. Mansur, and A. U. Khasanah. "Yarn supplier selection using analytical hierarchy process (AHP) and standardized unitless rating (SUR) method on textile industry." In 3RD INTERNATIONAL MATERIALS, INDUSTRIAL AND MANUFACTURING ENGINEERING CONFERENCE (MIMEC2017). Author(s), 2017. http://dx.doi.org/10.1063/1.5010628.

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Rajesekaran, M. Pallikonda, R. Arthi, D. Balaji, and P. Daniel. "Automatic smart ration distribution system for prevention of civil supplies hoarding in India." In 2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2017. http://dx.doi.org/10.1109/icaccs.2017.8014593.

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Reports on the topic "RATING OF SUPPLIERS"

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Hamilton, T., T. Brown, A. Marchetti, R. Martinelli, and S. Kehl. Accelerator Mass Spectrometric (AMS) Measurements of Plutonium Activity Concentrations and 240Pu/239Pu Atom Ratios In Soil Extracts Supplied by the Carlsbad Environmental Monitoring & Research Center. Office of Scientific and Technical Information (OSTI), February 2005. http://dx.doi.org/10.2172/15016419.

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Varga, Gabriella A., Amichai Arieli, Lawrence D. Muller, Haim Tagari, Israel Bruckental, and Yair Aharoni. Effect of Rumen Available Protein, Amimo Acids and Carbohydrates on Microbial Protein Synthesis, Amino Acid Flow and Performance of High Yielding Cows. United States Department of Agriculture, August 1993. http://dx.doi.org/10.32747/1993.7568103.bard.

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The effect of rumen available protein amino acids and carbohydrates on microbial protein synthesis, amino acid flow and performance of high yielding dairy cows was studied. A significant relationship between the effective degradabilities of OM in feedstuffs and the in vivo ruminal OM degradation of diets of dairy cows was found. The in situ method enabled the prediction of ruminal nutrients degradability response to processing of energy and nitragenous supplements. The AA profile of the rumen undegradable protein was modified by the processing method. In a continuous culture study total N and postruminal AA flows, and bacterial efficiency, is maximal at rumen degradable levels of 65% of the CP. Responses to rumen degradable non carbohydrate (NSC) were linear up to at least 27% of DM. Higher CP flow in the abomasum was found for cows fed high ruminally degradable OM and low ruminally degradable CP diet. It appeared that in dairy cows diets, the ratio of rumen degradable OM to rumenally degradable CP should be at least 5:1 in order to maximize postruminal CP flow. The efficiency of microbial CP synthesis was higher for diets supplemented with 33% of rumen undegradable protein, with greater amounts of bacterial AA reaching the abomasum. Increase in ruminal carbohydrate availability by using high moisture corn increased proportions of propionate, postruminal nutrients flow, postruminal starch digestibility, ruminal availability of NSC, uptake of energy substrates by the mammory gland. These modifications resulted with improvement in the utilization of nonessential AA for milk protein synthesis, in higher milk protein yield. Higher postruminal NSC digestibility and higher efficiency of milk protein production were recorded in cows fed extruded corn. Increasing feeding frequency increased flow of N from the rumen to the blood, reduced diurnal variation in ruminal and ammonia, and of plasma urea and improved postruminal NSC and CIP digestibility and total tract digestibilities. Milk and constituent yield increased with more frequent feeding. In a study performed in a commercial dairy herd, changes in energy and nitrogenous substrates level suggested that increasing feeding frequency may improve dietary nitrogen utilization and may shift metabolism toward more glucogenesis. It was concluded that efficiency of milk protein yield in high producing cows might be improved by an optimization of ruminal and post-ruminal supplies of energy and nitrogenous substrates. Such an optimization can be achieved by processing of energy and nitrogenous feedstuffs, and by increasing feeding frequency. In situ data may provide means for elucidation of the optimal processing conditions.
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Methods of rating unsaturated zone and watershed characteristics of public water supplies in North Carolina. US Geological Survey, 2000. http://dx.doi.org/10.3133/wri994283.

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