Journal of Industrial Engineering Research in Production Systems

Journal of Industrial Engineering Research in Production Systems

A Mathematical Model for a Production Planning Problem Considering Reliability in an Automotive Parts Company

Document Type : Research Paper

Authors
Masoud Latifian 1
Reza Tavakkoli-Moghaddam 2
Amir Hossein Latifian 3
Mahdi Kashani 4
1 . Ph.D. Technology Management, Department of Technology Management, Faculty of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
2 Professor, School of Industrial Engineering, College of Engineering, University of Tehran
3 Ph.D. Technology Transfer Management, Department of Technology Management, Faculty of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
4 M.A Industrial Management , Department of Industrial Management, Faculty of Management & Economy, Science and Research Branch, Islamic Azad University, Tehran, Iran
10.22084/ier.2024.28743.2153
Abstract
A few studies have addressed the failure or reliability of machines regarding cell formation problems. The general assumption in cell formation is that most machines are 100% reliable; however, they are not in a practical situation. Machine failure can severely affect the system performance and cause a delay in the scheduled date. A cellular manufacturing system is a philosophy among group technology ones, which is controlled by dividing a large system to multiple smaller sub-systems and facilitate manufacturing system management. This study presents a mathematical programming model for production planning problems in industrial units with reliability that prepares the conditions to utilize alternative routes for parts, which minimizes the lost costs along with maintenance costs. Since the considered problem is an NP-hard one, a genetic algorithm is used to solve the model. The presented mathematical model minimizes system costs, and the costs related to intra- and inter-cellular movements and maintenance by minimizing the costs of machine failures.
Keywords
Cellular Manufacturing System
Production Planning
Mathematical Optimization
Reliability
Genetic Algorithm
Subjects

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Journal of Industrial Engineering Research in Production Systems
Volume 12, Issue 24
September 2024
Pages 5-15