A Particle Swarm Optimization Algorithm for Solving Econopmic Lot Scheduling Problem

Ai, The Jin and Astanti, Ririn Diar and Bintoro, Agustinus Gatot and Gong, Dah Chuan (2014) A Particle Swarm Optimization Algorithm for Solving Econopmic Lot Scheduling Problem. In: Asia Pasific Industrial and Engineering Management System (APIEMS) Conference, 12-15 Oktober 2014, Korean Institute of Industrial Engineers and Asia Pasific Industrial Engineering and Management System (APIEMS) Organizational.

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The Economic Lot Scheduling Problem (ELSP) is the problem for determining the production schedule of many products to single production facility where the setup times, production and demand rates of each product are different. Due to its practical importance in the field of production and inventory management, this problem has been attracted many researchers and lead to many problem variants. Some exact and heuristics approaches had been proposed in the past for solving the ELSP and its variants, however, each approach is usually intended to solve a particular ELSP variant. This paper tries to develop a new and unified solution methodology for solving the ELSP and its variants using the particle swarm optimization, especially by proposing the solution representation and its decoding method. The computational results show that the proposed algorithm is able to find good solution of ELSP.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Economic Lot Scheduling Problem, Production and Inventory Management, Particle Swarm Optimization, Computational Method, Metaheuristics
Subjects: Teknik Industri > Sistem Kerja
Divisions: Fakultas Teknologi Industri > Teknik Industri
Depositing User: Editor UAJY
Date Deposited: 09 Sep 2016 08:00
Last Modified: 09 Sep 2016 08:00
URI: http://e-journal.uajy.ac.id/id/eprint/10291

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