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An Effective Hybrid Fuzzy Programming Approach for an Entropy-Based Multi-Objective Assembly Line Balancing Problem
Volume 30, Issue 3 (2019), pp. 503–528
Pub. online: 1 January 2019      Type: Research Article      Open accessOpen Access
Received
1 March 2018
Accepted
1 March 2019
Published
1 January 2019

Abstract

In cases where the balance problem of an assembly line with the aim to distribute the work loads among the stations as equal as possible, the concept of entropy function can be used. In this paper, a typical assembly line balancing problem with different objective functions such as entropy-based objective function plus two more objective functions like equipment purchasing cost and worker time-dependent wage is formulated. The non-linear entropy-based objective function is approximated as a linear function using the bounded variable method of linear programming. A new hybrid fuzzy programming approach is proposed to solve the proposed multi-objective formulation efficiently. The extensive computational experiments on some test problems proves the efficiency of the proposed solution approach comparing to the available approaches of the literature.

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Biographies

Mahmoodirad Ali

A. Mahmoodirad is an assistant professor of applied mathematics (operation research) in Masjed-Soleiman Branch of Islamic Azad University in Iran. His research interests include fuzzy mathematical programming, supply chain management, transportation problems and decomposition methods.

Heydari Ahmad

A. Heydari is a faculty member at Firouzabad Institute of Higher Education in Iran. He received his master’s degree in mathematics from Shahid Beheshti University (in Iran).

Niroomand Sadegh
sadegh.niroomand@yahoo.com

S. Niroomand is an assistant professor of industrial engineering in Firouzabad Institute of Higher Education in Iran. He received his PhD degree in industrial engineering from Eastern Mediterranean University (in Turkey), in 2013. His research interests are operations research, fuzzy theory, and exact and meta-heuristic solution approaches.


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© 2019 Vilnius University
Open access article under the CC BY license.

Keywords
assembly line balancing problem entropy function bounded variable linearization method fuzzy programming approach

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