A single row machine layout problem is studied with zoning constraints and mutual clearances under an enhanced objective of minimizing material flow cost and machine installation cost. The problem is restricted by positive and negative zoning constraints to represent real life problems. Moreover, clearances needed between machine pairs are divided in to two types, which are must and extra clearances, and extra clearances are reduced by mutual use between adjacent machines to decrease material flow costs. Objective function also considers machine installation cost which usually neglected in machine layout problems in literature but a necessity in real life problems. Two mathematical models are formulated, which are nonlinear and linear mixed integer programs, to solve the problem optimally and to compare the effect of linearity/nonlinearity in mathematical programming formulations in terms of solution quality and time. The mathematical models are not effective in terms of time for large problem instances, therefore a genetic algorithm is proposed generating high quality solutions in reasonable time. Effectiveness of the algorithm is revealed by solving several problem instances and a sensitivity analysis is performed for genetic algorithm parameters. The cost reductions by means of considering machine installation costs and mutual clearances are also presented.
Uruk, Z., & Akbilek, N. (2022). Zoning Constrained Machine Layout Problem with Mutual Clearances. Scientia Iranica, (), -. doi: 10.24200/sci.2022.57877.5453
MLA
Zeynep Uruk; Nevra Akbilek. "Zoning Constrained Machine Layout Problem with Mutual Clearances". Scientia Iranica, , , 2022, -. doi: 10.24200/sci.2022.57877.5453
HARVARD
Uruk, Z., Akbilek, N. (2022). 'Zoning Constrained Machine Layout Problem with Mutual Clearances', Scientia Iranica, (), pp. -. doi: 10.24200/sci.2022.57877.5453
VANCOUVER
Uruk, Z., Akbilek, N. Zoning Constrained Machine Layout Problem with Mutual Clearances. Scientia Iranica, 2022; (): -. doi: 10.24200/sci.2022.57877.5453