Abstract
The material handling system under design is an unmanned job shop with an automated guided vehicle that transport loads within the processing machines. The engineering task is to select the design alternatives that are the combinations of the four design factors: the ratio of production time to transportation time, mean job arrival rate to the system, input/output buffer capacities at each processing machine, and the vehicle control strategies. Each of the design alternatives is simulated to collect the upper and lower bounds of the five performance indices. We develop a Data Envelopment Analysis (DEA) model to assess the 180 designs with imprecise data of the five indices. The three-ways factorial experiment analysis for the assessment results indicates the buffer capacity and the interaction of job arrival rate and buffer capacity affect the performance significantly.
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References
Banker, R.D., Morey, R.C.: Efficiency analysis for exogenously fixed inputs and outputs. Operations Research 34(4), 513–521 (1986)
Charnes, A., Cooper, W.W., Rhodes, E.: Measuring efficiency of decision making units. European Journal of Operational Research 1, 429–444 (1978)
Cooper, W.W., Park, K.S., Yu, G.: IDEA and AR-IDEA: Models for dealing with imprecise data in DEA. Management Science 45, 597–607 (1999)
Halme, M., Joro, T., Korhonen, P., Salo, S., Wallenius, J.: A value efficiency approach to incorporating preference information in data envelopment analysis. Management Science 45, 103–115 (1999)
Jablonsky, J., Fiala, P., Smirlis, Y., Despotis, D.K.: DEA with interval data: An illustration using the evaluation of branches of a Czech bank. Central European Journal of Operational Research 12, 323–337 (2004)
Liu, F.H., Hung, P.C.: Real time deadlock-free control strategy for single multi-load automated guided vehicle on a job shop manufacturing system. International Journal of Production Research 39, 1323–1342 (2001)
Lin, J.T., Wang, F.K., Yang, C.J.: The performance of the number of vehicles in a dynamic connecting transport AMHS. International Journal of Production Research 43, 2263–2276 (2005)
Montgomery, D.C.: Design and Analysis of Experiments, 4th edn. John Wiley & Sons, New York (1997)
Sarrico, C.S., Dyson, R.G.: Restricting virtual weights in data envelopment analysis. European Journal of Operational Research 159, 17–34 (2004)
Tone, K.: A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research 130, 498–509 (2001)
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© 2007 Springer-Verlag Berlin Heidelberg
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Liu, FH.F., Kuo, WT. (2007). A Data Envelopment Analysis Model for Selecting Material Handling System Designs. In: Park, JW., Kim, T.G., Kim, YB. (eds) AsiaSim 2007. AsiaSim 2007. Communications in Computer and Information Science, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77600-0_14
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DOI: https://doi.org/10.1007/978-3-540-77600-0_14
Publisher Name: Springer, Berlin, Heidelberg
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