NDLI: Multi-item supplier selection and lot-sizing planning under multiple price discounts using augmented ε-constraint and Tchebycheff method

Content Provider	Springer Nature Link
Author	Razmi, Jafar Maghool, Elham
Copyright Year	2009
Abstract	Supplier selection and material procurement planning are the most important issues in supply chain management. This decision is complicated when the buyers are faced with discount price schemes. In real situation, each supplier may apply different methods such as different types of discount schedules and various types of payment in order to increase market share. In this situation, buyers try to select the best supplier by considering all tangible and intangible factors which may be included in this decision problem. Mohammad Ebrahim and Razmi (Adv Eng Softw 40:766–776, 2009), introduced a metaheuristic model in order to select the best suppliers and determine the procurement plan under two types of discount offer. In this paper, a fuzzy bi-objective model is proposed for multiple item, multiple period, supplier selection, and purchasing problem under capacity constraint and budget limitation. This model includes different kinds of discount (all-unit discount, incremental discount, and total business volume discount). Different methods for payments which ordinarily may be proposed by each supplier are considered in this paper. Finally, ε-constraint method and reservation-level-driven Tchebycheff procedure are applied to solve this bi-objective model. The efficiency of each method is tested by using an additive utility function which is offered by a decision maker.
Starting Page	379
Ending Page	392
Page Count	14
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	49
Issue Number	1-4
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2009-11-15
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Supplier selection Price discount Different method of payments Budget limitation Fuzzy bi-objective model Tchebycheff method Computer-Aided Engineering (CAD, CAE) and Design Mechanical Engineering Production/Logistics Industrial and Production Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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