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 occurs 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 two-sided mixed-model assembly line balancing problem with lower and upper bound. The proposed mathematical model is solved using a branch and bound algorithm on LINGO 17.0 solver. Findings: Based on the computational result, line efficiency that is obtained by reducing single and mated stations of the assembly line is good as compare to the theoretical minimum number of stations and reduces computational time by applying boundary conditions. Practical implications: Since the problem is well known as an NP-hard problem a benchmark study problem is solved,and the result of the study can be beneficial for assembly of the mixed model products in term of minimizing mated stations as well as computational time. Originality: By literature review, t his paper is first to address mixed-model two-sided assembly line balancing problem with bounds using the exact solution approach.
Highlights
In plants producing large-sized high-volume products such as Assembly lines can divide into two different buses or trucks
Since the problem is well known as an models assembled on the line, assembly lines can NP-hard problem a benchmark study problem is solved, be classified as single-model assembly lines and mixedand the result of the study can be beneficial for assembly of model assembly lines
The main objective of the proposed model is to incompatible task groups, different from negative zoning assign the set of tasks in mixed model two-sided assembly line balancing problem in such a systematic way so that mated station and single stations are reduced
Summary
In plants producing large-sized high-volume products such as Assembly lines can divide into two different buses or trucks. (Kucukkoc., 2016) Addressed mixed-model two-sided lines with the objective for minimizing the (Simaria et al, 2009) presented mathematical cycle time of the line as well as the number of programming model with ant colony optimization workstations.
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