A Study on Tool Allocation Method Considering Load Balancing and Optimization of Transportation Based on Mathematical Programming

Kentaro Tanaka; Koji Iwamura; Yoshitaka Tanimizu; Nobuhiro Sugimura

doi:10.4028/www.scientific.net/AMM.761.186

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 761A Study on Tool Allocation Method Considering Load...

A Study on Tool Allocation Method Considering Load Balancing and Optimization of Transportation Based on Mathematical Programming

Abstract:

A new tool allocation method is proposed in this paper to consider both the load balancing and optimization of a transportation based on a mathematical problem. The proposed tool allocation method consists of two steps. In the first step, the individual tools are divided into tool sets based on 0-1 programming problem in order to balance a total machining time by using the individual tool sets and reducing a total number of transportation processes. In the second step, the individual tool sets are allocated to the Machining Centers (MCs) based on a quadratic assignment problem in order to minimize transportation total distances of jobs.

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Periodical:

Applied Mechanics and Materials (Volume 761)

Pages:

186-190

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.761.186

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Online since:

May 2015

Authors:

Kentaro Tanaka*, Koji Iwamura, Yoshitaka Tanimizu, Nobuhiro Sugimura

Keywords:

Load Balancing, Mathematical Programming, Optimization of Transportation, Tool Allocation

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* - Corresponding Author

References

[1] A. Raouf, M. Ben-Daya, Flexible Manufacturing Systems: Recent Developments, Elsevier Science Publishers, Amsterdam, (1995).

Google Scholar

[2] B Huang, R. Jiang, G. Zhang, Search strategy for scheduling flexible manufacturing systems simultaneously using admissible heuristic functions and nonadmissible heuristic functions, Comput. Ind. Eng. 71 (2014) 21-26.

DOI: 10.1016/j.cie.2014.02.010

Google Scholar

[3] M.H.M.A. Jahromi, R. Tavakkoli-Moghaddamb, A novel 0-1 linear integer programming model for dynamic machine-tool selection and operation allocation in a flexible manufacturing system, J. Manuf. Syst. 31 (2012) 224-231.

DOI: 10.1016/j.jmsy.2011.07.008

Google Scholar

[4] N. Buyurgan, C. Saygin, S.E. Kilic, Tool allocation in flexible manufacturing systems with tool alternatives, Robot. Cim-Int. Manuf. 20 (2004) 341-349.

DOI: 10.1016/j.rcim.2004.01.001

Google Scholar

[5] T.S. Atan, R. Pandit, Auxiliary tool allocation in flexible manufacturing systems, Eur. J. Oper. Res. 89 (1996) 642-659.

DOI: 10.1016/0377-2217(94)00061-1

Google Scholar

[6] E.L. Lawler, The Quadratic Assignment Problem, Manage. Sci. 9 (1963) 586-599.

Google Scholar