Expected energy analysis for industrial process planning problem with fuzzy time parameters
作者： Guangdong Tian , Jiangwei Chu , Yumei Liu , Hua Ke , Xin Zhao
DOI: 10.1016/J.COMPCHEMENG.2011.05.012
关键词:
摘要: Abstract Industrial process planning is to make an optimal decision in terms of resource allocation. The objective can be minimize the time required complete a task, maximize customer satisfaction by completing orders timely fashion and cost task. Based on energy consumption industrial problem, novel analysis method proposed solve it. According different constraints credibility theory, typical expected value models for it are presented. In addition, hybrid intelligent optimization algorithm integrating fuzzy simulation, neural network genetic provided solving models. Some numerical examples also given illustrate concepts effectiveness used algorithm.
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Baoding Liu, Uncertainty Theory: An Introduction to its Axiomatic Foundations ,(2004)
Willy Herroelen, Bert De Reyck, Erik Demeulemeester, Resource-constrained project scheduling: a survey of recent developments Computers & Operations Research. ,vol. 25, pp. 279- 302 ,(1998) , 10.1016/S0305-0548(97)00055-5
Zohar Laslo, Dimitri Golenko-Ginzburg, Baruch Keren, Optimal booking of machines in a virtual job-shop with stochastic processing times to minimize total machine rental and job tardiness costs International Journal of Production Economics. ,vol. 111, pp. 812- 821 ,(2008) , 10.1016/J.IJPE.2007.03.018
Xiaoxia Huang, Credibility-based chance-constrained integer programming models for capital budgeting with fuzzy parameters Information Sciences. ,vol. 176, pp. 2698- 2712 ,(2006) , 10.1016/J.INS.2005.11.012
Anna Bonfill, Antonio Espuña, Luis Puigjaner, Addressing Robustness in Scheduling Batch Processes with Uncertain Operation Times Industrial & Engineering Chemistry Research. ,vol. 44, pp. 1524- 1534 ,(2005) , 10.1021/IE049732G
Arnold Kaufmann, Madan M. Gupta, Fuzzy Mathematical Models in Engineering and Management Science ,(1988)
Ehsan Eshtehardian, Abbas Afshar, Reza Abbasnia, Fuzzy-based MOGA approach to stochastic time-cost trade-off problem Automation in Construction. ,vol. 18, pp. 692- 701 ,(2009) , 10.1016/J.AUTCON.2009.02.001
Jun Li, Bo Gao, On chance maximization model in fuzzy random decision systems Mathematical and Computer Modelling. ,vol. 50, pp. 453- 464 ,(2009) , 10.1016/J.MCM.2009.05.024
Hua Ke, Weimin Ma, Xin Gao, Weihua Xu, New fuzzy models for time-cost trade-off problem Fuzzy Optimization and Decision Making. ,vol. 9, pp. 219- 231 ,(2010) , 10.1007/S10700-010-9076-Z
Seung Ho Choi, Fast and robust extraction of optical and morphological properties of human skin using a hybrid stochastic–deterministic algorithm: Monte-Carlo simulation study Lasers in Medical Science. ,vol. 25, pp. 733- 741 ,(2010) , 10.1007/S10103-010-0793-X