Integrasi Pemilihan Supplier Dan Ukuran Pembelian Untuk Multi Periode Dengan Menggunakan Multi-Objective Programming

Prayogo, Dina Natalia (2008) Integrasi Pemilihan Supplier Dan Ukuran Pembelian Untuk Multi Periode Dengan Menggunakan Multi-Objective Programming. In: Proceedings of Joint Seminar Japan-Indonesia Seminar on Technology Transfer (JITI) & National Seminar on Industrial System Planning 2008 (SNPSI 2008), 27-28 Maret 2008, lnstitut Teknologi Bandung.

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Several factors may affect a supplier's performance. Dickson identified 23 different criteria for vendor selection including quality, delivery, performance history, warranties, price, technical capability and financial position. Hence, supplier selection is a multicriteria problem which includes both qualitative and quantitative criteria, some of which may conflict. In these problems if suppliers have capacity or other different constraints two problems will exist: which suppliers are the best and how much should be purchased from each selected supplier? In this paper an integration of weighted linear programming (WLP) and multi-objective mixed integer programming (MOMIP) is proposed to consider both qualitative and quantitative factors for choosing the best suppliers and define the optimum quantities among the selected suppliers to maximize the total value of purchasing and on time delivery, and minimize the total material cost, order cost and holding cost, balancing the total cost among time periods and defect rate. The important constraints to be considered are supplier 's capacity, buyer's demand, request for quality and on-time delivery. A two-stage integrated approach is proposed to select suppliers and determine purchasing order allocations, given a number of qualitative and quantitative criteria by considering time horizon. In the first stage, the suppliers are evaluated according to some criteria that are quality, cost, delivery, flexibility and service by using WLP. Then, in the second stage, that is the order allocation stage, MOMIP model is solved to obtain the optimal solutions. The weights computed by WLP serve as coefficients in the MOMIP model. A numerical example is given to illustrate how the model is applied. Finally, the conclusions and recommendations are presented.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: supplier selection, procurement, lot-sizing
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering > Department of Industrial Engineering
Depositing User: Ester Sri W. 196039
Date Deposited: 28 Jul 2023 05:56
Last Modified: 28 Jul 2023 05:56

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