Supplier Evaluation System Research Articles

Supplier Evaluation and Selection of Power Grid Enterprises Based on Principal Component Analysis

In today's rapid development of society and economy, the material supply of grid enterprises is an important guarantee for its construction. This paper study the evaluation and selection of suppliers for power grid enterprises, build the supplier evaluation system for power grid enterprises combined with the actual situation, finally, using the principal component analysis (PCA) to analyze the case, and proving its feasibility.

Supplier selection in small- and medium-sized firms

Purpose The purpose of this paper is to empirically examine supplier selection among small- and medium-sized firms in the US textile and apparel industry. For small- and medium-sized firms, one powerful method of improving the firm’s competitiveness in the dynamic business environment is through strategic approach of supplier selection, which emphasizes supplier’s contributions to the total product and to overall customer satisfaction. Design/methodology/approach Empirical survey-based research methodology was implemented and data were collected from small and medium firms in textile and apparel business in North Carolina, South Carolina, Georgia, California, and New York which are the major areas of the US textile and apparel industry. Findings This study demonstrates the supplier selection practices of the small- and medium-sized firms in the US textile and apparel industry and their perceptions of supply market and supplier evaluation systems. Results indicate that supplier selection criteria impact firm performance in different ways. Small- and medium-sized firms carry out supplier selection based on product quality, supplier responsiveness, and strategic consideration which positively impact overall customer service level and overall customer satisfaction. Originality/value This paper focuses on supply chain management practices, specifically the supplier selection issue in small- and medium-sized firms in the textile and apparel industry.

Application of a new combined intuitionistic fuzzy MCDM approach based on axiomatic design methodology for the supplier selection problem

Evaluating and selecting a suitable supplier is a complex problem which involves a number of different criteria. In literature, there are various multi-criteria decision making (MCDM) methods available with their own characteristic features. The focus of this study is intuitionistic fuzzy (IF) MCDM methods which have attracted much attention from academics and practitioners in recent years. IF sets are widely used to tackle imprecise and uncertain decision information in decision making due to their capability of accommodating the hesitation in human decision processes. This study proposes a new integrated methodology that is used for the first time in the literature. This approach consists of intuitionistic fuzzy analytic hierarchy process (IFAHP), an MCDM technique, for determining the weights of supplier evaluation criteria, and the concept of intuitionistic fuzzy axiomatic design (IFAD) principles for ranking competing supplier alternatives with respect to their overall performance. Decision makers’ assessments and opinions are extended to the IF environment in this approach and furthermore, the group decision making (GDM) approach is utilized in order to overcome uncertainties and vagueness, minimize the partiality of decision process and to avoid bias. This study contributes to supplier selection and IF sets literature by providing a combined framework based on IFAHP and IFAD methodology for the first time. To assess the validity of the proposed integrated IF MCDM approach, a case study from Turkey is provided. This study can be useful to researchers in better understanding the supplier selection problem theoretically, as well as to organizations in designing better satisfying supplier evaluation systems.

NEW INTEGRATION OF MCDM METHODS AND QFD IN THE SELECTION OF GREEN SUPPLIERS

Currently, topics of operations management and supply chain systems have been gaining more interest of researchers. Efficiency in supply chain activities and operations management firstly benefit organisations. One of the main operations in supply chain systems is the collaboration with selected suppliers. Various models have been proposed in terms of supplier evaluation and selection studies. The invention of a new integrated frame for the building of an effective supplier evaluation system is a multi-attribute task that consists of several factors as external and internal variables. This paper delivers a creative integrated model of supplier selection problem using SWARA, QFD and a new MCDM tool called WASPAS. This work considers customer attitudes in the process of supplier evaluation. To give more weight to customer requirements, a new SWARA method has been designed; additionally, QFD and the house of quality matrix have been used to transform customer requirements into the supplier evaluation index. Finally, WASPAS has been used to rate the performance of suppliers and present supplier ranking scores. Application of initiative ways to propose a systematic supplier selection problem has always been encouraged by supply chain managers. This topic has been addressed in this paper as well.

An Empirical Study Based on Supply Chain Supplier Evaluation System

Under the environment of supply chain, enterprises not only put forward higher request to the product itself, but also focus more on the supplier selection criteria. In the early stage of the supply chain construction enterprises, we will find that there are many outstanding suppliers to choose from; facing a large number of suppliers, an effective way of supplier evaluation is very important. In this paper, the principal component analysis method is applied in supplier evaluation index, by extracting the principal components of the multi index comprehensive evaluation, and quantitatively provides guidance and reference for the selection of suppliers for the enterprises in the supply chain.

Study on Supplier Performance Evaluation Based on AHP Method

In this paper, AHP method is used as an researching tool, to build the supplier performance evaluation system including quality, cost, delivery and service, development and technology, management and communication. The supplier evaluation system is built by setting up the evaluation standard and calculating the weight of different indicators. This system would be a reference for enterprise supplier management.

Dyad Buyer-Supplier and its Relation to Financial Performance

This study aims to raise which practices of buyer-supplier dyad are related to the financial performance of the manufacturing industry in Brazil. Based of 174 Brazilian companies and a total of 312 respondents, the analysis use CFA (Confirmatory Factor Analysis) to validate the measurement of constructs and multiple regressions to analyze the relationship between practices of buyer-supplier dyad and financial performance. Our results showed a positive relationship dimension--strategic sourcing and buyer-supplier relationships--with the company's financial performance. However, the supplier evaluation system showed no statistically significant relationship. The findings reinforce the lack of formalization in the buyer-supplier relationship, a situation that often hinders the development of a long-term relationship. The lack of systematic evaluations of supplier performance can generate insecurity in the relationship, since historical actions taken by suppliers could serve as a criterion of choice in a future negotiation. As practical contributed to this study, it is expected that managers understand the importance of buyer-supplier relationship to the company's financial performance.DOI: 10.12660/joscmv7n1p30-46URL: http://dx.doi.org/10.12660/joscmv7n1p30-46

Construction of Supplier Selection Criterion System of Green Supply Chain Based on Information Gain Analysis

The excellent suppliers are the guarantee for smooth operation of green supply chain. While the scientific green supplier evaluation system is the foundation of supplier selection. The article analyzes the characteristics of supplier selection criterion system in green supply chain, and lists the common evaluation criterion. To construct a more reasonable evaluation system, the method of information gain analysis is introduced into the paper, which can handpick the criterions reasonably.

Supply chain collaboration and firm performance in Thai automotive and electronics industries

This paper examines factors that encourage firms in Thai automotive and electronics industries to enter into supply chain collaborations (SCCs) and relationships between SCCs and supply chain performance (SCP) using a questionnaire survey in 2012. The results of ordinary least squares regression show that firms that established a supplier evaluation and audit system, a system of rewards for high-performance suppliers and long-term transactions, with their supply chain partners under competitive pressure cooperate more closely with their partners along the supply chain with respect to sharing information and synchronizing decisions. Our two-stage least squares regressions indicate that SCCs that arise from competitive pressure, supplier evaluation and audit, and a system of rewards for high-performance suppliers and long-term relationships influence SCP, including on-time delivery, responsiveness to fast procurement, flexibility to customers’ needs, and profit. These findings indicate that Thailand machinery industries have learned globally adopted SCM practices, and invested in tangible and intangible assets to realize potential benefits from costly SCC.

조직원 지식의 정보 시스템 이전 : 전자 구매 서비스 기업 사례를 통한 관리적 함의

오늘날 많은 기업들은 MRO 구매를 아웃소싱하고 있다. 따라서 MRO 제품의 효율적 공급을 위하여 MRO 제품 공급자에 대한 평가는 매우 중요한 사안이 되고 있으나, 제품과 공급자의 수가 급격하게 증가함에 따라 매우 복잡한 작업이 되었다. 경쟁력있는 가격에 좋은 제품을 공급하는 공급자를 선별해 내기 위해서는 공급자의 이력 등에 대한 매우 체계적인 분석과 평가를 필요로 한다. 이 논문에서는 우리나라의 대표적 MRO 전자 구매 대행 기업의 공급자 평가 시스템에 대한 사례분석을 하고자 한다. 공급자 평가를 통해 소싱 업무의 의사결정을 지원하는 이 시스템은 3차례의 성능개선 프로젝트를 거치게 되었다. 이 과정에서 도출한 주요 관리적 함의를 TOE 관점에서 정리함으로써 조직 내 의사결정지원시스템의 성공적 도입을 위한 전략을 제언을 정리한다. With the emergence of indirect procurement, it has become a global trend for companies to outsource their maintenance, repair, and operating (MRO) supplies to procurement service providers (PSPs). Due to the variety of MRO items, evaluation of numerous suppliers in various industries is a particularly complex task for PSPs. Due to this complexity, many PSPs still evaluate and select suppliers based on the sourcing managers' subjective knowledge. Through the case of adopting a supplier evaluation system, this research is to find the managerial issues organizations should consider when they transform sourcing managers' knowledge into the system. We interpret the issues based on the Technology-Organization-Environment (TOE) framework. This case conclusively shows the importance of positive feedback loop between the users and the information system for the performance improvement of the system.

An intelligent supplier evaluation, selection and development system

Supplier evaluation and selection process has a critical role and significant impact on purchasing management in supply chain. It is also a complex multiple criteria decision making problem which is affected by several conflicting factors. Due to multiple criteria effects the evaluation and selection process, deciding which criteria have the most critical roles in decision making is a very important step for supplier selection, evaluation and particularly development. With this study, a hybridization of fuzzy c-means (FCM) and rough set theory (RST) techniques is proposed as a new solution for supplier selection, evaluation and development problem. First the vendors are clustered with FCM algorithm then the formed clusters are represented by their prototypes that are used for labeling the clusters. RST is used at the next step of modeling where we discover the primary features in other words the core evaluation criteria of the suppliers and extract the decision rules for characterizing the clusters. The obtained results show that the proposed method not only selects the best supplier(s), also clusters all of the vendors with respect to fuzzy similarity degrees, decides the most critical criteria for supplier evaluation and extracts the decision rules about data.

Effect of strategic purchasing, supplier evaluation system and uncertain business environment on supplier-buyer strategic relationship: a structural model

In supply management, the supplier-buyer strategic relationship (SBSR) activities are critical elements to a firm’s competitive advantage. The purpose of this research is to introduce strategic purchasing (SP) and supplier evaluation system (SES), and uncertain business environmental factors (UBEF) as constructs that could have the potential to contribute to the success of supplier-buyer strategic relationship efforts (SBSR). Based on the relational view of the firm, the authors propose that SP is an antecedent of SES, and UBEF practices and can create value for the buying firm in terms of better purchasing performance. Hypotheses derived from the key features of SP, SES and UBEF practices are tested using structural equation modelling through field research on a sample of 270 senior purchasing executives of 54 manufacturing companies in India. Findings from this study indicate that there is significant evidence to support the hypothesised model in which SP exerts direct influences on SES practices and UBEF, as well as a direct impact on purchasing performance mediated through SES.

국가 공공조달을 위한 조달업체 평가관리 시스템에 대한 연구

As e-Commerce and national public procurement have been enabled, needs of supplier management and evaluation system for national public procurement has been growing. Enterprises have constructed and operated supplier relationship management system, in order to automate and increase their supply chain processes by managing the strategic assessment of relationships with external partners. Recently, PPS(Public Procurement Service) in Korea is introducing the concept of SRM to ensure the fairness of public procurement and to strengthen the competitiveness of the national public procurement and public procurement. For this purpose, it is necessary to establish supplier evaluation management and decision support process to allow a transparent supplier selection. In this paper, we present an evaluation method for transparent and objective public procurement. We also present a method for purchase decision support.

The Evaluation of Supplier Performance - A Case Study Approach

This study adopted business intelligence tools to implement a platform for supplier evaluation, bases on data from the material management module of its ERP system firstly, and tried to further improve the acceptance of the system. Qualitative research method was applied on this regard. Intensive interviews with members from procurement, quality assurance, and material management departments were conducted with interview framework established from Information System Model. The information garnered from the interviews was analyzed with Formal Concept Analysis (FCA). Major conclusions were used to improve the supplier evaluation system. Based on statistics data about system usage, the improvement gained significant success.

Study of the Input Variables for BP NN Based Supplier Evaluation Model

The development of the BP NN is part of the research project of internet based intelligent supplier selection and evaluation system. According to obtained information from Google Search Engine, the possible suppliers will be classified and put into the data file which is used for the further evaluation. In the paper the BP NN model used for supplied evaluation is introduced first, and then the six input variables have been discussed for the BP NN model. The raw data of each variable has to be converted into BP NN model accepted format for training and application. The conversion methods for each valuable have been discussed in the paper as well. Final, the test results show the successful system running.

Fuzzy adaptive resonance theory approach to supplier involvement in product development: a case study in Turkish automobile industry

This study proposes a mechanism to evaluate suppliers for involvement during product development process. The proposed methodology is discussed within a multinational automobile firm and preliminary analysis indicates that the approach provides an effective mechanism for selecting suppliers involved in the product development process. To remedy to supplier integration problems, a clustering approach – fuzzy adaptive resonance theory (Fuzzy ART) – is used. The proposed methodology is explained using a case study that is realised in an automobile firm. Eventually, the results are presented comparatively, which obtained by current supplier evaluation system of the firm and provided from Fuzzy ART methodology. [Submitted 14 July 2009; Revised 16 November 2009; Accepted 17 November 2009]

Study on Supplier Selecting System Oriented Networked Manufacturing

This paper analyzes the characteristics of supplier selection base on network manufacturing environment. The requirements of supplier evaluation and selection function of the system were analyzed too. Supplier evaluation and selection of system architecture and workflow was studied oriented networked manufacturing environment. Base on the theoretical study a prototype system was developed and the main function modules were introduced. This paper provides a theoretical and technical reference to develop efficient and practical supplier evaluation and selection system to meet the requirements of networked manufacturing.

The Development and Application of the Auto Parts Supplier Evaluation System

According to the processing and methods of auto parts supplier evaluation and selection, this paper develops independently a set of Suppliers Evaluation System on basis of Matlab7.0. The system includes two functional modules that are Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). In the end, through examples proves the system can provide a simple operation tool and scientific, reasonable decision basis for managers.

Investigate an intelligent supplier evaluation system in e-manufacturing

The supplier evaluation is a key section of the intelligent internet supplier selection and evaluation system. The model used for supplier evaluation is back propagation neural network model which is introduced in the paper. The paper started with the brief introduction of the intelligent internet supplier selection and evaluation system. It provides an outline of the research project and then it concentrated to introduce the application of the BP NN model for supplier evaluation. The application introduced in the paper will include the design of the BP NN model, training of the BP NN model and test results.

Development of an enterprise decision platform: Service-Oriented Architecture approach

Group decision making activities have been applied in many domains in the enterprises. As many decision algorithms can be used for various domains and one domain can use various decision algorithms, this paper proposes an Enterprise Decision Platform (EDP) for the development of the adaptive decision applications. EDP is the intelligent multi-agent framework which embeds the decision algorithms as intelligent agents, and applies the architecture concept of Service Oriented Architecture (SOA) which is implemented by web-services. An application development of Intelligent Supplier Evaluation System (ISES) demonstrates how this proposed model functions.