Abstract
Manufacturing grid has become more and more popular because it can realize the resource share and collaboration within the worldwide scope. In most cases, the resource and task information in manufacturing grid is fuzzy and uncertain, but the resource-searching methods now are focused on deterministic value and have some limitations for manufacturing grid. This paper proposes a unified information model in which the information parameters are described as a set of interval values, and the conversion rules from the given capability parameters into intervals are discussed. On these bases, a new optimized resource-searching method is designed to find the best required manufacturing resource for the task by calculating the interval distance of the task and the resources. The method is verified to be effective by an instance. Furthermore, it is practical by comparing it with other resource-searching methods.
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References
Fan YS, Zhang LQ, Liu B (2004) Networked manufacturing and manufacturing network. Chin Mech Eng 15(19):1733–1738
Zhang ZL, Yuan WZ, Wang W (2006) Automotive service composition for manufacturing grid based on domain-specific ontology. J Comput Appl 26(1):57–60
Tan W, Fan YS (2005) Research on service matching and composition in networked manufacturing environment. Comput Integr Manuf Syst 11(10):1408–1413
Tao F, Hu YF, Zhao DM, Zhou ZD, Zhang HJ, Lei ZZ (2009) Study on manufacturing grid resource service QoS modeling and evaluation. Int J Adv Manuf Technol 41:1034–1042
Tao F, Hu YF, Zhao DM, Zhou ZD (2009) Application and modeling of resource service trust-QoS evaluation in manufacturing grid system. Int J Prod Res 47(6):1521–1550
Liu LL, Yu T, Shi ZB, Fang ML (2003) Self-organization manufacturing grid and its task scheduling algorithm. Comput Integr Manuf Syst 9(6):449–454
Shi ZB, Yu T, Liu LL (2004) Manufacturing grid and its resource configuration algorithm. Comput Eng 30(5):117–119
Yu T, Yuan LP, Li J, Xiong F, Fang ML (2005) A multi-agent based approach for manufacturing grid workflow. Proceedings of the fourth international conference on machine learning and cybernetics, Guangzhou, August 18–21: 199–204
Wen HY, Ren XL, Xu GH (2004) Study on searching algorithm of manufacturing grid. Chin Mech Eng 15(22):2014–2017
Deng H, Chen L, Wang CT, Deng QN (2006) A grid-based scheduling system of manufacturing resources for a virtual enterprise. Int J Adv Manuf Technol 28:137–141
Chen L, Deng H, Deng QN, Wu ZY (2004) A research of grid manufacturing and its application in custom artificial joint. Proceedings of International Conference of Computer Science 2004 (ICCS2004), April. Krakow, Poland, LNCS 3036:507–510
Zhang CS, Mo R, Shi SY, Chang ZY (2006) Research on manufacturing grid resource scheduling based on genetic algorithm. Chin Mech Eng 17(18):1916–1920
Lv BS, Shi SY, Mo R, Chang ZY, Yang HC (2006) Market equilibrium based resource optimal allocation for manufacturing grid. Comput Integr Manuf Syst 12(12):2011–2016
Fu JZ (2013) An efficient resource-searching method in manufacturing grid. Int J Adv Manuf Technol 66:401–405
Eldon H, William WG (2003) Global optimization using interval analysis. Marcel Dekker Inc, New York
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Fu, J. A practical resource-searching method for manufacturing grid. Int J Adv Manuf Technol 74, 335–340 (2014). https://doi.org/10.1007/s00170-014-5970-9
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DOI: https://doi.org/10.1007/s00170-014-5970-9