The Experts below are selected from a list of 12330 Experts worldwide ranked by ideXlab platform
Gwohshiung Tzeng - One of the best experts on this subject based on the ideXlab platform.
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data driven hybrid multiple attribute decision making model for green Supplier Evaluation and performance improvement
Journal of Cleaner Production, 2019Co-Authors: James J H Liou, Yenching Chuang, Gwohshiung Tzeng, Edmundas Kazimieras ZavadskasAbstract:Abstract Multi-attribute decision-making (MADM) is the most commonly used methodology for green Supplier Evaluation and performance improvement. Previous MADM models have mainly relied upon the knowledge and opinions of domain-experts as the starting point for making decisions. However, the results are affected by the subjectivity of these judgments and knowledge limitations. This study develops a data-driven MADM model that utilizes potential rules/patterns derived from a large amount of historical data to help decision-makers objectively select suitable green Suppliers and provide systemic improvement strategies to help reach the aspiration level. First, the random forest (RF) algorithm is applied to explore the pairwise influential strength relations among attributes derived from real audit data. The influence matrix derived using the RF algorithm is used as input for decision-making trial and Evaluation laboratory (DEMATEL)-based analytical network process analysis which is carried out to obtain the influential strength weights of the attributes. Then, multi-objective optimization on the basis of ratio analysis to the aspiration level (MOORA-AS) is utilized to evaluate the gap between the current and aspiration levels for each green Supplier. The developed critical influence strength route (CISR) can help managers derive various strategies for improving green Supplier performance. The functioning of the proposed model is illustrated using data obtained from the green Supplier management department of a Taiwanese electronics company. The results reveal that the proposed model can effectively help decision-makers to solve the problem of green Supplier selection and devise strategies for improvement.
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a fuzzy integral based model for Supplier Evaluation and improvement
Information Sciences, 2014Co-Authors: James J H Liou, Yenching Chuang, Gwohshiung TzengAbstract:Decisions related to Supplier improvement and selection are inherently multiple criteria decision making (MCDM) problems and are strategically important to companies. Although efforts have been made to discover systematic methods to select the proper Supplier, these efforts have assumed that the criteria are independent, which is not actually the case. Some studies that have treated the criteria as interdependent use additive models to obtain aggregate performance. We propose a novel fuzzy integral-based model that addresses the interdependence among the various criteria and employs the non-additive gap-weighted analysis. The structure of the relationships among the criteria and the criteria weights are developed using Decision Making Trial and Evaluation Laboratory (DEMATEL) combined with a fundamental concept of an analytic network process (ANP) called DANP. The fuzzy integral is then used to aggregate the gaps using the weights obtained from the DANP. The proposed model addresses the shortcomings of prior models and provides a more reasonable representation of the real world. The method is demonstrated using Supplier Evaluation and improvement data from a Taiwanese company.
William Ho - One of the best experts on this subject based on the ideXlab platform.
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Strategic Supplier performance Evaluation: A case-based action research of a UK manufacturing organisation
International Journal of Production Economics, 2015Co-Authors: Prasanta Kumar Dey, Arijit Bhattacharya, William HoAbstract:The main aim of this research is to demonstrate strategic Supplier performance Evaluation of a UK-based manufacturing organisation using an integrated analytical framework. Developing long term relationship with strategic Suppliers is common in today's industry. However, monitoring Suppliers' performance all through the contractual period is important in order to ensure overall supply chain performance. Therefore, client organisations need to measure Suppliers' performance dynamically and inform them on improvement measures. Although there are many studies introducing innovative Supplier performance Evaluation frameworks and empirical researches on identifying criteria for Supplier Evaluation, little has been reported on detailed application of strategic Supplier performance Evaluation and its implication on overall performance of organisation. Additionally, majority of the prior studies emphasise on lagging factors (quality, delivery schedule and value/cost) for Supplier selection and Evaluation. This research proposes both leading (organisational practices, risk management, environmental and social practices) and lagging factors for Supplier Evaluation and demonstrates a systematic method for identifying those factors with the involvement of relevant stakeholders and process mapping. The contribution of this article is a real-life case-based action research utilising an integrated analytical model that combines quality function deployment and the analytic hierarchy process method for Suppliers' performance Evaluation. The effectiveness of the method has been demonstrated through number of validations (e.g. focus group, business results, and statistical analysis). Additionally, the study reveals that enhanced Supplier performance results positive impact on operational and business performance of client organisation.
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multi criteria decision making approaches for Supplier Evaluation and selection a literature review
European Journal of Operational Research, 2010Co-Authors: William Ho, Xiaowei Xu, Prasanta Kumar DeyAbstract:Supplier Evaluation and selection problem has been studied extensively. Various decision making approaches have been proposed to tackle the problem. In contemporary supply chain management, the performance of potential Suppliers is evaluated against multiple criteria rather than considering a single factor-cost. This paper reviews the literature of the multi-criteria decision making approaches for Supplier Evaluation and selection. Related articles appearing in the international journals from 2000 to 2008 are gathered and analyzed so that the following three questions can be answered: (i) Which approaches were prevalently applied? (ii) Which evaluating criteria were paid more attention to? (iii) Is there any inadequacy of the approaches? Based on the inadequacy, if any, some improvements and possible future work are recommended. This research not only provides evidence that the multi-criteria decision making approaches are better than the traditional cost-based approach, but also aids the researchers and decision makers in applying the approaches effectively.
Prasanta Kumar Dey - One of the best experts on this subject based on the ideXlab platform.
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Strategic Supplier performance Evaluation: A case-based action research of a UK manufacturing organisation
International Journal of Production Economics, 2015Co-Authors: Prasanta Kumar Dey, Arijit Bhattacharya, William HoAbstract:The main aim of this research is to demonstrate strategic Supplier performance Evaluation of a UK-based manufacturing organisation using an integrated analytical framework. Developing long term relationship with strategic Suppliers is common in today's industry. However, monitoring Suppliers' performance all through the contractual period is important in order to ensure overall supply chain performance. Therefore, client organisations need to measure Suppliers' performance dynamically and inform them on improvement measures. Although there are many studies introducing innovative Supplier performance Evaluation frameworks and empirical researches on identifying criteria for Supplier Evaluation, little has been reported on detailed application of strategic Supplier performance Evaluation and its implication on overall performance of organisation. Additionally, majority of the prior studies emphasise on lagging factors (quality, delivery schedule and value/cost) for Supplier selection and Evaluation. This research proposes both leading (organisational practices, risk management, environmental and social practices) and lagging factors for Supplier Evaluation and demonstrates a systematic method for identifying those factors with the involvement of relevant stakeholders and process mapping. The contribution of this article is a real-life case-based action research utilising an integrated analytical model that combines quality function deployment and the analytic hierarchy process method for Suppliers' performance Evaluation. The effectiveness of the method has been demonstrated through number of validations (e.g. focus group, business results, and statistical analysis). Additionally, the study reveals that enhanced Supplier performance results positive impact on operational and business performance of client organisation.
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multi criteria decision making approaches for Supplier Evaluation and selection a literature review
European Journal of Operational Research, 2010Co-Authors: William Ho, Xiaowei Xu, Prasanta Kumar DeyAbstract:Supplier Evaluation and selection problem has been studied extensively. Various decision making approaches have been proposed to tackle the problem. In contemporary supply chain management, the performance of potential Suppliers is evaluated against multiple criteria rather than considering a single factor-cost. This paper reviews the literature of the multi-criteria decision making approaches for Supplier Evaluation and selection. Related articles appearing in the international journals from 2000 to 2008 are gathered and analyzed so that the following three questions can be answered: (i) Which approaches were prevalently applied? (ii) Which evaluating criteria were paid more attention to? (iii) Is there any inadequacy of the approaches? Based on the inadequacy, if any, some improvements and possible future work are recommended. This research not only provides evidence that the multi-criteria decision making approaches are better than the traditional cost-based approach, but also aids the researchers and decision makers in applying the approaches effectively.
Gulcin Buyukozkan - One of the best experts on this subject based on the ideXlab platform.
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an integrated fuzzy multi criteria group decision making approach for green Supplier Evaluation
International Journal of Production Research, 2012Co-Authors: Gulcin BuyukozkanAbstract:Purchasing is one of the most vital functions within a company and Supplier performance Evaluation is one of the most important business processes of the purchasing function. Traditionally, companies have considered factors such as price, quality, flexibility, etc. while evaluating Suppliers. However, environmental pressures urge them to consider green issues. This study proposes a decision model for Supplier performance Evaluation by considering various environmental performance criteria. An integrated, fuzzy group decision-making approach is adopted to evaluate green Supplier alternatives. More precisely, a fuzzy analytic hierarchy process (AHP) is applied to determine the relative weights of the Evaluation criteria and an axiomatic design (AD)-based fuzzy group decision-making approach is applied to rank the green Suppliers. Finally, a case study is given to demonstrate the potential of the methodology.
Ram Narasimhan - One of the best experts on this subject based on the ideXlab platform.
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a methodology for strategic sourcing
European Journal of Operational Research, 2004Co-Authors: Srinivas Talluri, Ram NarasimhanAbstract:Abstract Strategic sourcing is critical for firms practicing the principles of supply chain management. It specifically deals with managing the supply base in an effective manner by identifying and selecting Suppliers for strategic long-term partnerships, involving in Supplier development initiatives by effectively allocating resources to enhance Supplier performance, providing benchmarks and continuous feedback to Suppliers, and in some cases involving in Supplier pruning activities. Currently, the methodologies in practice for strategic sourcing have mostly been subjective in nature with few objective decision models focused at Supplier Evaluation, which are also not devoid of limitations. This paper proposes an objective framework for effective Supplier sourcing, which considers multiple strategic and operational factors in the Evaluation process. Suppliers are categorized into groups based on performance, which assists managers in identifying candidates for strategic long-term partnerships, Supplier development programs, and pruning. In addition, this research investigates the differences among Supplier groups in proposing possible improvement strategies for ineffectively performing Suppliers. Also, we demonstrate the methodological richness of our framework when compared to some of the traditional methods proposed and utilized for Supplier Evaluation purposes. The Supplier data utilized in the study is obtained from a large multinational corporation in the telecommunications industry.
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Supplier Evaluation and rationalization via data envelopment analysis an empirical examination
Journal of Supply Chain Management, 2001Co-Authors: Ram Narasimhan, Srinivas Talluri, David MendezAbstract:SUMMARY Strategic Evaluation of Supplier performance assists firms in improving their operations across a variety of dimensions. Specifically, it aids in Supplier process improvement, which in turn enhances firm performance, allows for optimal allocation of resources for Supplier development programs, and assists managers in restructuring their Supplier network based on performance. In order to address these issues, this article proposes a methodology for effective Supplier performance Evaluation based on data envelopment analysis (DEA), a multi-factor productivity analysis technique. The efficiencies derived from the DEA model are utilized in conjunction with managerial performance ratings in identifying Supplier clusters, which are categorized into high performers and efficient (HE), high performers and inefficient (HI), low performers and efficient (LE), and low performers and inefficient (LI). Effective benchmarks from the HE cluster are identified for improving the operations of Suppliers in the HI, LE, and LI clusters. Finally, managerial insights and implications from the study are discussed.
