Titlebook: Analysis and Modeling of Manufacturing Systems; Stanley B. Gershwin,Yves Dallery,J. MacGregor Smit Book 2003 Springer Science+Business Med

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The Right to Education in a Digital Eraction is decided before sales and at the end of the selling period, the products are sold at clearance prices and the optimum production level is calculated using the knowledge of experts. The effectiveness and convenience of the method is described with a numerical example.

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Optimal Scheduling for Piecewise Deterministic Multi-Armed Bandit Problem,namic governing the arms belong to piecewise deterministic random evolutions. We then use this class of model to discuss a simple version of the scheduling problem of a flexible manufacturing resource, with limited capacity, operating in a random environment.

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Production Planning for Short Life-Cycle Products in Consideration of Clearance Sale,ction is decided before sales and at the end of the selling period, the products are sold at clearance prices and the optimum production level is calculated using the knowledge of experts. The effectiveness and convenience of the method is described with a numerical example.

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978-1-4613-5354-6Springer Science+Business Media New York 2003

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International Series in Operations Research & Management Sciencehttp://image.papertrans.cn/a/image/156234.jpg

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Capacitated Two-Echelon Inventory Models for Repairable Item Systems,ntral location. Each repair facility may be considered to be a job shop and is modeled as a (limited capacity) open queuing network, while any transport from the central facility to the bases (and vice versa) is modeled as an ample server. At all bases as well as at the central repair facility, read

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Distribution Resource Planning Systems: A Critique and Enhancement,lied to complex distribution networks with thousands of unique stock-keeping units and hundreds of stocking locations. It allows for non-stationary (e.g. seasonal) demand patterns and a wide variety of user-specified inventory control rules including all standard inventory policies such as (.) and f

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Process Adjustment for Assemblies, formulate a stochastic dynamic program to find the optimal adjustment policy when the adjustment outcome is uncertain. The optimal policy minimizes the sum of adjustment cost during pre-production and quality cost during production. The formulation is developed for a single process and for two proc