Recent Advances in Control and Optimization of Manufacturing by George Yin, Qing Zhang

By George Yin, Qing Zhang

In a aggressive international, examine in production structures performs an enormous position in developing, updating and enhancing the applied sciences and administration practices of the financial system. This quantity offers essentially the most fresh leads to stochastic production platforms. specialists from the fields of utilized arithmetic, engineering and administration sciences assessment and considerably replace the hot advances within the keep an eye on and optimization of producing structures. Recent Advances up to the mark and Optimization of Manufacturing Systems contains 8 chapters divided into 3 elements which specialize in optimum creation making plans, Scheduling and Improvability and Approximate Optimality and Robustness. This booklet is meant for researchers and practitioners within the fields of platforms conception, keep an eye on and optimization, and operation administration in addition to in utilized likelihood and stochastic strategies.

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Varga, (1963) Matrix lterative Analysis, Prentice-Hall, New Jersey. [28] J. Wilkinson, (1965) The Algebraic Eigenvalue Problem, Clarendon Press, Oxford. 28 [29] H. Y. Zhou and G. Yin, (1994) Finding Optimal Number of Kanbans in a Manufacturing System Via Stochastic Approximation and Perturbation Analysis, Lecture Notes in Conlrol and Information Sciences, Eds. G. -P. Quadrat, Springer-Verl~g, London, pp. 572-578. WAI KI CHING AND XUN YUN ZHOU DEPARTMENT OF SYSTEMS ENGINEERING AND ENGINEERING MANAGEMENT THE CHINESE UNIVERSITY OF HONG KONG SHATIN, HONG KONG 29 Optimal Control of a Failure Prone Manufacturing System with the Possibility of Temporary Increase in Production Capacity* Lei Huang Jian-Qiang Hu Pirooz Vakili Abstract Manufacturers have two general strategies to guard against uncertainties in the production or demand process: (a) building inventory to hedge against periods in which the production capacity is not sufficient to satisfy demand, and (b) temporarily increasing the production capacity, for example, by hiring temporary workers, adding overtime and/or extra shifts, or outsourcing part of the production.

In light of the above lemma, from now on, we limit ourselves to the class of hedging point policies for which Zl _> 0 > z2. We denote this class by 7-{. Our main results, given in the next section, are based on explicit evaluation of the average cost and the differential cost functions associated with a number of candidate hedging point policies. In preparation for what follows, we derive the average cost of an arbitrary policy 7rz E 7-/and a set of differential equations that characterize the differential cost functions associated with.

However, the conditions we established do not cover all parameter ranges, and can be improved. This is a future research direction.

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