• 제목/요약/키워드: Supplier Evaluation

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Supplier Evaluation in Green Supply Chain: An Adaptive Weight D-S Theory Model Based on Fuzzy-Rough-Sets-AHP Method

  • Li, Lianhui;Xu, Guanying;Wang, Hongguang
    • Journal of Information Processing Systems
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    • 제15권3호
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    • pp.655-669
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    • 2019
  • Supplier evaluation is of great significance in green supply chain management. Influenced by factors such as economic globalization, sustainable development, a holistic index framework is difficult to establish in green supply chain. Furthermore, the initial index values of candidate suppliers are often characterized by uncertainty and incompleteness and the index weight is variable. To solve these problems, an index framework is established after comprehensive consideration of the major factors. Then an adaptive weight D-S theory model is put forward, and a fuzzy-rough-sets-AHP method is proposed to solve the adaptive weight in the index framework. The case study and the comparison with TOPSIS show that the adaptive weight D-S theory model in this paper is feasible and effective.

Fuzzy AHP와 BSC 결합모델기반의 Green Supplier 선정 문제 (A Combined Fuzzy AHP and BSC Model based Green Supplier Selection Problem)

  • 서광규
    • 대한안전경영과학회지
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    • 제13권3호
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    • pp.63-69
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    • 2011
  • As environmental protection is becoming more and more important, green production has become a key issue for almost every manufacturer and will determine a manufacturer can be sustainable in the long term. Therefore a performance evaluation system for green suppliers is necessary to determine the suitability of suppliers to cooperate with the company. While the works on the evaluation and/or selection of suppliers are abundant, those that concern environmental issues are rather limited. The objective of this study is to construct a combined model based on fuzzy analytic hierarchy process (FAHP) and balanced scorecard (ESC) for evaluating green suppliers in the manufacturing industry. The ESC concept is applied to define the hierarchy with four major perspectives (i.e. financial, customer, internal business process, and learning and growth), and performance indicators are selected for each perspective. FAHP is then proposed in order to tolerate vagueness and ambiguity of information. Finally, FAHP is finally constructed to facilitate the solving process. With the proposed model, manufacturers can have a better understanding of the capabilities that a green supplier must possess and can evaluate and select the most suitable green supplier for cooperation.

공급 리스크를 고려한 공급자 선정의 다단계 의사결정 모형 (A Multi-Phase Decision Making Model for Supplier Selection Under Supply Risks)

  • 유준수;박양병
    • 산업경영시스템학회지
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    • 제40권4호
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    • pp.112-119
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    • 2017
  • Selecting suppliers in the global supply chain is the very difficult and complicated decision making problem particularly due to the various types of supply risk in addition to the uncertain performance of the potential suppliers. This paper proposes a multi-phase decision making model for supplier selection under supply risks in global supply chains. In the first phase, the model suggests supplier selection solutions suitable to a given condition of decision making using a rule-based expert system. The expert system consists of a knowledge base of supplier selection solutions and an "if-then" rule-based inference engine. The knowledge base contains information about options and their consistency for seven characteristics of 20 supplier selection solutions chosen from articles published in SCIE journals since 2010. In the second phase, the model computes the potential suppliers' general performance indices using a technique for order preference by similarity to ideal solution (TOPSIS) based on their scores obtained by applying the suggested solutions. In the third phase, the model computes their risk indices using a TOPSIS based on their historical and predicted scores obtained by applying a risk evaluation algorithm. The evaluation algorithm deals with seven types of supply risk that significantly affect supplier's performance and eventually influence buyer's production plan. In the fourth phase, the model selects Pareto optimal suppliers based on their general performance and risk indices. An example demonstrates the implementation of the proposed model. The proposed model provides supply chain managers with a practical tool to effectively select best suppliers while considering supply risks as well as the general performance.

종속성을 고려한 공급자 평가 및 선정방법에 관한 연구 (A Study on Supplier Evaluation and Selection Method Based Dependency)

  • 주종문;황승국
    • 한국지능시스템학회논문지
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    • 제13권5호
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    • pp.552-557
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    • 2003
  • 인터넷과 정보기술의 발전은 이제까지 큰 연관성을 가지지 못하던 생산업체와 소비자를 연결하는 다양한 접점을 제공하고 있다. 이러한 소비자와의 접점의 확대는 생산업체가 소비자의 요구를 직접적으로 확인하고 상품의 변경이나 개발에 반영할 수 있는 기회를 마련하였지만 생산업체가 소비자의 요구를 받아 생산에 반영시키기 위한 연구는 미흡한 실정이다 본 연구는 제품을 생산하기 위해 다양한 공급자로부터 부품이나 원자재를 공급받아야 하는 구매자의 입장과 공급자의 입장을 동시에 고려한 공급자 평가방법에 관한 것이다. 제품을 구매하는 고객의 요구를 기반으로 평가항목을 구성하여 구매자는 최적의 공급자를 선택할 수 있고 공급자는 경쟁력 강화의 기회를 제공하도록 설계하였다.

Evaluation of Quantity Discounts for Buyer's Stocking Risk

  • Shin, Ho-Jung;Benton, W.C.;Park, Soo-Hoon
    • Management Science and Financial Engineering
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    • 제16권3호
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    • pp.21-47
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    • 2010
  • Quantity discounts provide a practical foundation for supply chain inventory policies, improving the supplier's profit and reducing the buyer's inventory cost simultaneously. Traditional quantity-discount research, which deals with inventory coordination between a buyer and a supplier, is extended to a stationary stochastic environment. This research shows that the magnitude of the optimal discounts scheduled by the deterministic quantity discount models may not be large enough to cover the buyer's additional inventory stocking risks under uncertain conditions. As a result, the buyer's total inventory cost may often increase rather than decrease. In contrast, the proposed model allows the supplier to identify the discount level, which shares the buyer's amplified risk associated with temporary overstocking and ensures that both buyer and supplier benefit economically. The performance of the proposed model was tested in the continuous review environments via numerical experiments. The experimental results support the proposed method as a feasible alternative in coordinating inventory decisions under stochastic demand.

SCM에서의 공급자 관리를 위한 신경망을 이용한 지능적 방법 (An intelligent approach for managing suppliers in SCM using neural networks)

  • 한현수;이영해;조민관
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회/대한산업공학회 2003년도 춘계공동학술대회
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    • pp.258-261
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    • 2003
  • The purpose of this study is designing intelligent supplier management system with selected criteria for monitoring and evaluating suppliers by the information As suppliers keep changing their performance continuously according to the environment and with the passage or time. Companies need to monitor suppliers' condition continuously and choose the suitable action. This study considers a framework or supply chain management system usuig neural networks for ongoing partnership with criteria of supplier performance. The intelligent supplier management system that this study suggests ran offer the supplier evaluation criteria for monitoring and more efficient supply chain management ran be expected for cost reduction or supply chain management with this system.

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서울 지역 직영 학교 급식의 공급 업체 선정 및 식재료 규격서 사용 실태 조사 (Status of Supplier Selection Status and the Practical Use of Purchase Specifications for Self-operated School Foodservices in the Seoul Area)

  • 류경
    • 한국식품영양학회지
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    • 제20권2호
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    • pp.226-239
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    • 2007
  • The purpose of this study was to identify the problems related to the purchasing processes of school foodservices that should be corrected for the food service safety, by examining the purchasing processes and the status of supplier selection. A questionnaire was given to 300 dietitians working at self-operated food services. Ninety-eight responses, excluding incomplete answers, were used for the statistical analysis. The survey consisted of three parts: the general characteristics of the school foodservice and dietitian, purchasing processes and supplier selection, and the purchase specifications. We found that 84% of the contract was made by informal purchasing, and the contract period was 6 months or one year. For supplier selection, problems related to the document screening systems were the superficiality of the content(45.7%) and the absence or lack of clarity of the appraisal criteria(34.8%). The important factors for the facility and equipment standards of suppliers were included unclear evaluation methods for content(41.1%) and inappropriate appraisal lists(21.1%), while unclear evaluation methods for content(41.9%) and absence or lack of clarity of the appraisal criteria(20.4%) were the problems pertaining to the supplier evaluation checklist. When using the Food Labeling Standards to select suppliers, confirmation of the sell-by date and the storage method had the highest score at 3.85 out of 5. For supplier selection, only 25% of the contract was made by using the purchase specifications. The levels of satisfaction of with Kimchi and rice cakes suppliers were significantly different according to employment type and educational background, respectively. Depending on working experiences, satisfaction was significantly different for the use of document screening, as a standard for the selection and management of suppliers, and for the facility and equipment standards of suppliers, The use of purchase specifications was different by employment type, while the use of purchase specifications for contracts was different by working experience. These results imply that the specialization of suppliers is necessary to unsure food safety. Therefore, the objective methods to evaluate the suppliers should be developed by the government, and appropriate education programs for dietitians should be prepared to enhance the utilization of purchase specifications.

Evaluating Green Supply Chain Management with Incomplete Information

  • Tseng, Ming-Lang;Lin, Ru-Jen;Chiu, Anthony Shun Fung
    • Industrial Engineering and Management Systems
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    • 제11권2호
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    • pp.165-169
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    • 2012
  • There has been a growing interest in firms' environmental sustainability activities to improve environmental practices in their supply chain. This study aims to deal with supplier evaluation of firm's green supply chain management (GSCM) criteria with incomplete information. Nevertheless, the suitable supplier is a key strategic direction in eliminating environmental impact on supply chain management for manufacturing firms. The firm's GSCM criteria and supplier selection need to be unified as a system to improve the firm's performance.

A Study on Supplier Evaluation and Selection Method Based Dependency

  • Ju, Jong-Moon;Hwang, Seung-Gook
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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    • pp.672-675
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    • 2003
  • The development of information & technology and the Internet provides various connecting routes between manufacturers with consumers. These expanded routes has made it Possible fer customers to directly transfer their voice to manufacturers, but n research on how the manufacturers respond the customers' needs has to be further conducted. In this paper, a method in which a best supplier would be chosen based on customers' needs from the perspective of a buyer tab been Presented. A method that makes it possible to evaluate and choose the best supplier in accordance with consumers' requirement by analyzing customers' needs and the evaluated data also hag been designed.

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An Integrated Mathematical Model for Supplier Selection

  • Asghari, Mohammad
    • Industrial Engineering and Management Systems
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    • 제13권1호
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    • pp.29-42
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    • 2014
  • Extensive research has been conducted on supplier evaluation and selection as a strategic and crucial component of supply chain management in recent years. However, few articles in the previous literature have been dedicated to the use of fuzzy inference systems as an aid in decision-making. Therefore, this essay attempts to demonstrate the application of this method in evaluating suppliers, based on a comprehensive framework of qualitative and quantitative factors besides the effect of gradual coverage distance. The purpose of this study is to investigate the applicability of the numerous measures and metrics in a multi-objective optimization problem of the supply chain network design with the aim of managing the allocation of orders by coordinating the production lines to satisfy customers' demand. This work presents a dynamic non-linear programming model that examines the important aspects of the strategic planning of the manufacturing in supply chain. The effectiveness of the configured network is illustrated using a sample, following which an exact method is used to solve this multi-objective problem and confirm the validity of the model, and finally the results will be discussed and analyzed.