International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 140

Research Paper | Industrial Engineering | India | Volume 8 Issue 1, January 2019


A Mathematical Model to Solve Cost Oriented Two Sided Assembly Line Balancing by Exact Solution Approach

Ashish Yadav | Sunil Agrawal


Abstract: Purpose- The main aim of this paper is to develop a new mathematical model for the mixed model two-sided assembly line balancing problem (MTALBP) generally occur in plants producing large-sized high-volume products such as buses or trucks. Methodology- In this paper, the proposed mathematical model is applied to solve case study of two-sided mixed-model assembly line balancing problem to optimize the cost of machinery, worker and transportation in mated stations of an assembly line. Proposed mathematical model is solved using a branch and bound algorithm on lingo 17.0 solver. Findings- Based on the computational result, cost-oriented line efficiency that is obtained by reducing the cost of machinery, worker and transportation in mated stations of the assembly line is good as compare to station oriented line efficiency. Practical implications- Since the problem is well known as np-hard problem a company case study problem is solved and the result of the study can be beneficial for assembly of the mixed model products and to reduce total worker cost and overall cost. Originality- On the basis of literature review this paper is first to address cost-oriented mixed-model two-sided assembly line balancing problem using the exact solution approach.


Keywords: Two-sided assembly line balancing, Mixed model, Mathematical model, Lingo solver


Edition: Volume 8 Issue 1, January 2019,


Pages: 1543 - 1548


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How to Cite this Article?

Ashish Yadav, Sunil Agrawal, "A Mathematical Model to Solve Cost Oriented Two Sided Assembly Line Balancing by Exact Solution Approach", International Journal of Science and Research (IJSR), Volume 8 Issue 1, January 2019, pp. 1543-1548, https://www.ijsr.net/get_abstract.php?paper_id=ART20194608

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