By Cornelius T. Leondes

ISBN-10: 9812389814

ISBN-13: 9789812389817

ISBN-10: 9812796797

ISBN-13: 9789812796790

This is often a useful five-volume reference at the very huge and hugely major topic of laptop aided and built-in production structures. it's a set of enormously titled and well-harmonized volumes by way of prime specialists at the overseas scene. The recommendations and applied sciences utilized in laptop aided and built-in production platforms have produced, and may doubtless proceed to provide, significant annual advancements in productiveness, that is outlined because the items and providers made out of each one hour of labor. This ebook offers fairly with better usage of work and capital, specially details expertise structures. jointly the 5 volumes deal with comprehensively the main innovations and applied sciences which are concerned.

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Extra info for Computer Aided and Integrated Manufacturing Systems, Vol. 3: Optimization Methods

Sample text

Dahel and Smith 7 proposed a bi-criteria mathematical programming model to minimize inter-cell material handling cost and to maximize the total number of machines in the cells. For a model similar to the SCF-1 or the SCF-2, the second objective would be: max I]X/ Z H ' k I Trade-off between the two non-compatible functions must be sought through a series of solutions of the problem. The non-dominated solutions will result in similar cells by having different types of machines in each cell. One assumption in this bi-criteria model is the unavailability of future production demand and data, (ii) Cell formation for probabilistic demands — If the probability of having certain product mix can be estimated, then a static model to minimize the expected total travel cost can be developed to address the changing production demand.

2. In the network shown in Fig. 2, S(t, t') corresponds to the inter-cell travel and machine costs for production at time period t with the optimal cell configuration designed for time period t'. Q(t',t") is the reconfiguration cost required to change the system from t' to t", where t',t" = 1,2, •• • ,T. Q(t',t") can be calculated as f(l) Fig. 2. f(2) Dynamic programming network. f(3) 46 Mingyuan Chen follows: K(t',t") Q{t',t")= 53 fc=i K(t',t") fc=i L /+^max{^(O-^(O,0} i=i L i=i where K(t',t") = ra&x{K(t'), K(t")}.

D. Sherali, Benders' partitioning scheme applied to a new formulation of the quadratic assignment problem, Naval Research Logistics Quarterly 27, 1 (1980) 29-41. 32. A. M. Frieze and J. Yadegar, On the quadratic assignment problem, Discrete Applied Mathematics 5 (1983) 89-98. 33. O. Kettani and M. Oral, Equivalent formulations of nonlinear integer problems for efficient optimization, Management Science 36, 1 (1990) 115-119. 34. O. Kettani and M. Oral, Reformulating quadratic assignment problems for efficient optimization, HE Transactions 25, 6 (1993) 97-107.

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Computer Aided and Integrated Manufacturing Systems, Vol. 3: Optimization Methods by Cornelius T. Leondes


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