ROBUST-HYBRID GENETIC ALGORITHM FOR A FLOW-SHOP SCHEDULING PROBLEM (A Case Study at PT FSCM Manufacturing Indonesia)

Johan Soewanda; Tanti Octavia; Iwan Halim Sahputra

doi:10.9744/jti.9.2.pp. 144-151

Editor in Chief

Dr. Siana Halim, S.Si., M.Sc.nat.
Statistical Modeling & Industrial Mathematics, Industrial Engineering Department, Petra Christian University, Indonesia

Editors

I Gede Agus Widyadana, S.T., M.Eng.
Simulation, Scheduling, Production Planning and Control, Operational Research, Ergonomics, & Production System; Industrial Engineering Department, Petra Christian University, Indonesia

Iwan Halim Sahputra, S.T., M.Sc.
Product Design and Development, Information System, & Modeling; Industrial Engineering Department, Petra Christian University, Indonesia

Drs. Jani Rahardjo, MBA.tech.
Decision Science, Statistics, & Experiment Design; Industrial Engineering Department, Petra Christian University, Indonesia

Dra. Indriati Bisono, M.Sc.
Experiment Design, Quality Management, & Quality Engineering; Industrial Engineering Department, Petra Christian University, Indonesia

Reviewers

Prof. Hui Ming Wee
(Production/Inventory Control, Optimization, Supply Chain Management) Department of Industrial and System Engineering, Chung Yuan Christian University Chung Li 320, Taiwan

Darsono Tjokroamidjojo, Ph.D.
(Operations Research, Supply Chain Management). Assistant professor of North Dakota State University, USA.

Dr. Liem Ferryanto
(Complex Design of Experiments, Design for Six Sigma) Director of Six Sigma, Global Research, Development and Engineering. CIBA Vision, A Novartis Company, Atlanta Georgia, USA

Huynh Trung Luong, D.Eng.
(Industrial Systems Engineering) Industrial Systems Engineering, Asian Institute of Technology, Thailand.

Erwie Zahara, Ph.D.
(Heuristic optimization, data mining,marketing research) Department of Industrial Engineering and Management of St. John's University, Taiwan

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ejournal

ROBUST-HYBRID GENETIC ALGORITHM FOR A FLOW-SHOP SCHEDULING PROBLEM (A Case Study at PT FSCM Manufacturing Indonesia)

Johan Soewanda, Tanti Octavia, Iwan Halim Sahputra

Abstract

This paper discusses the application of Robust Hybrid Genetic Algorithm to solve a flow-shop scheduling problem. The proposed algorithm attempted to reach minimum makespan. PT. FSCM Manufacturing Indonesia Plant 4's case was used as a test case to evaluate the performance of the proposed algorithm. The proposed algorithm was compared to Ant Colony, Genetic-Tabu, Hybrid Genetic Algorithm, and the company's algorithm. We found that Robust Hybrid Genetic produces statistically better result than the company's, but the same as Ant Colony, Genetic-Tabu, and Hybrid Genetic. In addition, Robust Hybrid Genetic Algorithm required less computational time than Hybrid Genetic Algorithm

Keywords

robust, hybrid, genetic, algorithm, flow-shop.

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The Journal is published by The Institute of Research & Community Outreach - Petra Christian University. It available online supported by Directorate General of Higher Education - Ministry of National Education - Republic of Indonesia.

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