Abstract—In this paper, we consider a problem minimizing investment cost when throughput target is given, and the total budget and available spaces for machines and buffers are limited. This situation happens frequently in practical manufacturing system, and we consider the crankshaft line of a Korean automotive factory as for the case study. Simulation model is developed to estimate throughput and a modified arrow assignment rule using difficulty is suggested to find optimal allocation of machines and buffers.
Index Terms—Budget, crankshaft line, hybrid flow shop, throughput.
G. Wang is with the School of Management and Economics, Hebei University of Science and Technology, Shijiazhuang City, Hebei Province, China PR (e-mail: wgcan1@hotmail.com).
D. R. Lee is with Department of Eco-friendly Marine Plant FEED Engineering, Changwon National University, Changwon, Gyeongnam, 641-773, Korea (e-mail: dudtlrdl2@naver.com).
Y. W. Shin is with the Department of Statistics, Changwon National University, Changwon, Gyeongnam, 641-773, Korea (e-mail: ywshin@changwon.ac.kr).
D. H. Moon is with Department of Industrial and Systems Engineering, Changwon National University, Changwon, Gyeongnam, 641-773, Korea (corresponding author; e-mail: dhmoon@changwon.ac.kr).
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Cite: Guan Wang, Dae Ryoung Lee, Yang Woo Shin, and Dug Hee Moon, "A Simulation Study on Improving Throughput in a Crankshaft Line Considering Minimizing Investment Cost under Throughput Target," International Journal of Materials, Mechanics and Manufacturing vol. 5, no. 1, pp. 32-36, 2017.
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