Determining Workstation Groups in a Fixed Factory Facility Based on Biological Computation

Authors:
Ikno Kim;Junzo Watada
Affiliations:
Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, Japan 808-0135;Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, Japan 808-0135
Venue:
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Year:
2009

Citing 2
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Abstract

A strategy for making layout decisions is an important element in developing operating systems in manufacturing factories or other industrial plants. In this paper, we look at fixed factory facilities and propose a method for designing different sorts of layouts related to factories running at high-volume and producing a low-variety of products. Where many tasks are called, each with a different task time, it can be difficult to arrange a fixed factory facility in the optimal way. Therefore, we propose a computational method using DNA molecules for designing production systems by determining all the feasible workstation groups in a fixed factory facility, and we show that this computation method can be generally applied to layout decisions.