Affiliations: [1] Department of Mathematics, Masjed-Soleiman Branch, Islamic Azad University, Masjed-Soleiman, Iran | [2] Department of Mathematics, Firouzabad Institute of Higher Education, Firouzabad, Fars, Iran | [3] Department of Industrial Engineering, Firouzabad Institute of Higher Education, Firouzabad, Fars, Iran. E-mail: [email protected]
Correspondence:
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Corresponding author.
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.
