An optimization approach to determining the number of vendors to employ

Weber, Charles A.; Current, John R.; Desai, Arpan

doi:10.1108/13598540010320009

Cited by 279 publications

(126 citation statements)

References 14 publications

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“…Weber [20] combined a multi-objective programming (MOP) and DEA method to provide buyers with a tool for negotiating with vendors that were not selected right away, as well as to evaluate potential suppliers. Ha [21] outlined a hybrid method, which incorporates multiple techniques like AHP, DEA and neural network(NN) into an evaluation process, in order to select competitive suppliers in a supply chain.…”

Section: Dea Methods For Supplier Selectionmentioning

confidence: 99%

The DEA Game Cross-efficiency Model for Supplier Selection Problem under Competition

Ma¹,

Yao²,

Jinand³

et al. 2014

Appl. Math. Inf. Sci.

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Abstract:As the most important responsibility of purchasing management, the problem of supplier evaluation and selection has always received a great deal of attention from practitioners and researchers. This management decision is a challenge due to the complexity and various criteria involved. Many methods based on data envelopment analysis(DEA) emerged, especially the cross efficiency. But it exists some limitations, such as the cross efficiency value is often non-unique, average cross efficiency measure is not good because it is not pareto solution. This paper considers the competition between the suppliers and presents game cross efficiency which is based on DEA to assess supplier performance. This method can get a unique efficiency and it is pareto solution. Numerical example is used to illustrate application and feasibility of the proposed methodology.

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Section: Dea Methods For Supplier Selectionmentioning

confidence: 99%

The DEA Game Cross-efficiency Model for Supplier Selection Problem under Competition

Ma¹,

Yao²,

Jinand³

et al. 2014

Appl. Math. Inf. Sci.

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“…Internal policy constraints exist either implicitly or explicitly in the buying process for such matters as the number of suppliers to employ, minimum and maximum order quantities and so on. Similarly, suppliers may impose constraints on the buying process such as their own minimum order quantities or a maximum order quantity based on their production capacity or their willingness to do business with a particular firm (Weber, Current & Desai 2000a). Moreover, the involvement of organizations external to a buying or supplying company is important for the decision process.…”

Section: Outsourcingmentioning

confidence: 99%

“…Therefore, a key and strategic issue that purchasing must address is effective management of the supplier network for achieving competitive advantage including identification of supplier selection criteria, supplier selection decisions and monitoring of supplier performance (Karpak, Kasuganti & Kumcu 1999). In this respect, the effective selection of suppliers is very important to the success of a firm in achieving high quality products and customer satisfaction (Humphreys, Mak & Yeung 1998;Weber, Current & Desai 2000a). …”

Section: Outsourcingmentioning

confidence: 99%

Supplier selection and business process improvement

Garfamy

2009

IJSOM

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While prior research provides considerable evidence for the existence of relationship between supplier selection and Business Process Improvement (BPI), it yields little insight into the level of the relationship.By examining the level of the relationship between supplier selection and BPI practices, the present study contributes to the body of knowledge in both fields through identifying and examining the linkages between two topics based on a developed We begin by reviewing the relevant literature and developing the conceptual research model. We describe key supplier selection and BPI constructs, elaborate on the interrelationships among these variables and pose a series of testable hypotheses regarding the linkages between supplier selection and BPI constructs. Next, we discuss methodological issues related to developing and validating the measures of constructs as well as data collection and analysis procedures. Thereafter, we present and discuss the 1 Doctoral Thesis Reza Mohammady Garfamy results of our substantive tests that involve linear regression models. We conclude by considering the implications for both research and practice and provide recommendations for broadening the scope of future research of supplier selection and BPI.2 Doctoral Thesis

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“…In the domain of quantitative techniques, A series of research papers [3][4][5] had published which addressed to solve cost based optimization problem. Research paper [23] had improvised the previous paper as in [22] and developed a multi objective programming model to fix number of suppliers/vendors. Though the list of such researches is wide and the techniques range from linear programming to highly complex mathematical modelling are often found to be NP hard.…”

Section: Literature Surveymentioning

confidence: 99%

Analytic Hierarchy Process (AHP) for a Power Transmission Industry to Vendor Selection Decisions

Kumar¹,

Roy²

2011

IJCA

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This work attempts to develop a rule based model, to evaluate the performance of vendors, supplying components and raw materials to a multinational organization engaged in designing, manufacturing and delivering a range of products covering various stages of electric power transmission and distribution system. The analytic hierarchy process (AHP) based model, described in this work, is utilized to study the requirements of customers to select suitable vendors validate the model for ordering required components and materials for customers.

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An optimization approach to determining the number of vendors to employ

Cited by 279 publications

References 14 publications

The DEA Game Cross-efficiency Model for Supplier Selection Problem under Competition

The DEA Game Cross-efficiency Model for Supplier Selection Problem under Competition

Supplier selection and business process improvement

Analytic Hierarchy Process (AHP) for a Power Transmission Industry to Vendor Selection Decisions

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