IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A Heuristic Approach for Car Sequencing Problem Including Assembly Ratio and Color Constraints

A Heuristic Approach for Car Sequencing Problem Including Assembly Ratio and Color Constraints
View Sample PDF
Author(s): Emek Gamze Köksoy Atiker (Intertech Information Technology and Marketing, Turkey), Fatma Betül Yeni (Istanbul Technical University, Turkey), Peiman A. Sarvari (Istanbul Technical University, Turkey) and Emre Çevikcan (Istanbul Technical University, Turkey)
Copyright: 2018
Pages: 20
Source title: Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems
Source Author(s)/Editor(s): Ömer Faruk Yılmaz (Istanbul Technical University, Turkey & Yalova University, Turkey) and Süleyman Tüfekçí (University of Florida, USA)
DOI: 10.4018/978-1-5225-2944-6.ch004

Purchase

View A Heuristic Approach for Car Sequencing Problem Including Assembly Ratio and Color Constraints on the publisher's website for pricing and purchasing information.

Abstract

A car factory contains three main workshops; body shop, paint shop and assembly shop. Each of these three workshops has their set of constraints which have to be met in a production day by arranging the vehicles. The car sequencing problem is used to create a production sequence that meets these constraints. Car sequencing problem first handled in the literature by optimization of assembly constraints including ratio constraints. After that, color constraints are integrated to assembly constraints. At this chapter, the scenario in which high priority ratio constraints are primary, color constraints are secondary is tackled and a heuristic approach is proposed. For optimization of ratio constraints, an initial algorithm based on the greedy algorithm is used. The developed algorithm is coded and used on data set which is proposed by Renault at the ROADEF'2005 challenge. According to results, it is achieved the range of results which is achieved by ROADEF finalists.

Related Content

Scheduling in Flexible Manufacturing Systems: Genetic Algorithms Approach
Fraj Naifar, Mariem Gzara, Taicir Loukil Moalla. © 2018. 19 pages.
View Details View Details PDF Full Text View Sample PDF
Application and Evaluation of Bee-Based Algorithms in Scheduling: A Case Study on Project Scheduling
Ayse Aycim Selam, Ercan Oztemel. © 2018. 23 pages.
View Details View Details PDF Full Text View Sample PDF
Metaheuristic Approaches for Extrusion Manufacturing Process: Utilization of Flower Pollination Algorithm and Particle Swarm Optimization
Pauline Ong, Desmond Daniel Vui Sheng Chin, Choon Sin Ho, Chuan Huat Ng. © 2018. 14 pages.
View Details View Details PDF Full Text View Sample PDF
A Heuristic Approach for Car Sequencing Problem Including Assembly Ratio and Color Constraints
Emek Gamze Köksoy Atiker, Fatma Betül Yeni, Peiman A. Sarvari, Emre Çevikcan. © 2018. 20 pages.
View Details View Details PDF Full Text View Sample PDF
Hub Location Allocation Problems and Solution Algorithms
Peiman A. Sarvari, Fatma Betül Yeni, Emre Çevikcan. © 2018. 30 pages.
View Details View Details PDF Full Text View Sample PDF
Heuristic Approaches in Clustering Problems
Onur Doğan. © 2018. 18 pages.
View Details View Details PDF Full Text View Sample PDF
An Integrated Methodology for Order Release and Scheduling in Hybrid Manufacturing Systems: Considering Worker Assignment and Utility Workers
Ömer Faruk Yılmaz, Mehmet Bülent Durmuşoğlu. © 2018. 37 pages.
View Details View Details PDF Full Text View Sample PDF
Body Bottom