A fuzzy programming approach for vendor selection problem in a supply chain

Kumar, Manoj; Vrat, Prem; Shankar, Ravi

doi:10.1016/j.ijpe.2005.01.005

Cited by 237 publications

(105 citation statements)

References 25 publications

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“…Some of these as 55 follow: An integrated AHP and preemptive goal programming based on multi-criteria decision making (MCDM) methodology was developed by Wang et al (2004) to select the best set of multiple suppliers to satisfy capacity constraint. Kumar et al (2006) presented a fuzzy Multi-objective Integer Programming model, which incorporates cost-minimization, quality-maximization and maximization of on-time delivery goals with the buyers, demand and suppliers capacity constraints (Gwo-Hshiung et al, 2011). Ha and Krishnan (2008) proposed a hybrid method, which incorporates AHP, DEA and Neural Network (NN) techniques into an evaluation process in order to select competitive suppliers in supply chain.…”

Section: Literature Of Methodsmentioning

confidence: 99%

Integrated Fuzzy ANP, Fuzzy VIKOR and goal programming for sourcing in a supply chain: A case study from cable industry

Rezaei¹,

Naeeni²,

Motlagh³

2013

10.5267/j.dsl

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In today's competitive business environment, companies strive to increase their market shares. All companies clearly understand that they have to reach this goal by implementing cost effective methods and increase profits as much as possible. The cost of purchasing raw materials and component parts are significant portion of products in most manufacturing firms. Supplier selection and evaluation have been widely recognized to be one of the most substantial issues on material purchasing. In order to choose reliable suppliers it is necessary to have a trade-off between some tangible and intangible factors where some of them are in serious conflict. In this paper, an integrated technique of analytical network process improved by VIKOR and fuzzy sets theory and multi-objective mixed integer nonlinear programming is proposed to determine the appropriate suppliers. The proposed model of this paper also determines the order quantity allocated to each supplier in the case of multiple sourcing, multiple products and multi-period time horizon for an Iranian cable company.

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Section: Literature Of Methodsmentioning

confidence: 99%

Integrated Fuzzy ANP, Fuzzy VIKOR and goal programming for sourcing in a supply chain: A case study from cable industry

Rezaei¹,

Naeeni²,

Motlagh³

2013

10.5267/j.dsl

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“…The solution method was based on the intersection of membership functions of the fuzzy objectives by applying the min-operator. Then, Kumar et al (2006a) solve the same problem using the multi-objective fuzzy programming approach proposed by (Zimmermann, 1978). Amid et al (2006) address the problem of adequately selecting suppliers within a SC.…”

Section: Literature Reviewmentioning

confidence: 99%

Applying Fuzzy Linear Programming to Supply Chain Planning with Demand, Process and Supply Uncertainty

Peidro¹,

Mula²

2009

Supply Chain the Way to Flat Organisation

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“…There are some restrictive assumptions in the aforementioned formulating; For example, only one item is supposed to be purchased from one vendor. Also, (Kumar a, 2005) formulated Vendor selection problem as a fuzzy Multi-objective Integer Programming incorporating three important goals: cost-minimization, quality-maximization and maximization of on-time-delivery-with the realistic constraints such as meeting the buyers' demand, vendors' capacity, vendors' quota flexibility, etc. In the proposed model, various input parameters have been treated as vague data with a linear membership function of fuzzy type with the same restriction pointed above.…”

Section: Literature Reviewmentioning

confidence: 99%

DESIGN AND IMPLEMENTATION OF A FUZZY EXPERT DECISION SUPPORT SYSTEM FOR VENDOR SELECTION - Case Study in OIEC IRAN(Oil Industerial Engineering and Construction)

Ramezani¹,

Montazer²

2006

Proceedings of the Eighth International Conference on Enterprise Information Systems

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Abstract:Supplier selection and evaluation is a complicated multi objective process with many uncertain factors. Sealed bid evaluation is the most common approach for supplier selection purpose in Iran. In this paper, a fuzzy expert decision support system is developed for solving the vendor selection problem with multiple objectives, in which some of the parameters are fuzzy in nature. Basic important factors considered for supplier selection are price, quality and delivery time. The designed system has been designed and implemented and evaluated in a lead famous company and the results are discussed.

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A fuzzy programming approach for vendor selection problem in a supply chain

Cited by 237 publications

References 25 publications

Integrated Fuzzy ANP, Fuzzy VIKOR and goal programming for sourcing in a supply chain: A case study from cable industry

Integrated Fuzzy ANP, Fuzzy VIKOR and goal programming for sourcing in a supply chain: A case study from cable industry

Applying Fuzzy Linear Programming to Supply Chain Planning with Demand, Process and Supply Uncertainty

DESIGN AND IMPLEMENTATION OF A FUZZY EXPERT DECISION SUPPORT SYSTEM FOR VENDOR SELECTION - Case Study in OIEC IRAN(Oil Industerial Engineering and Construction)

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