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Titlebook: Stochastic Modeling of Manufacturing Systems; Advances in Design, George Liberopoulos,Chrissoleon T. Papadopoulos,St Book 2006 Springer-Ve

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31#
發(fā)表于 2025-3-26 23:37:04 | 只看該作者
32#
發(fā)表于 2025-3-27 04:00:32 | 只看該作者
33#
發(fā)表于 2025-3-27 07:13:23 | 只看該作者
Stochastic cyclic flow lines with blocking: Markovian modelse models with finite buffers of which processing times have exponential or phase-type distributions. We develop an exact method for computing a two-station model by making use of the matrix geometric structure of the associated Markov chain. We present a computationally tractable approximate perform
34#
發(fā)表于 2025-3-27 10:01:52 | 只看該作者
35#
發(fā)表于 2025-3-27 17:05:47 | 只看該作者
An analytical method for the performance evaluation of echelon kanban control systemshe basic principle of the method is to decompose the original system into a set of nested subsystems, each subsystem being associated with a particular echelon of stages. Each subsystem is analyzed in isolation using a product-form approximation technique. An iterative procedure is used to determine
36#
發(fā)表于 2025-3-27 20:46:53 | 只看該作者
Closed loop two-echelon repairable item systemses) and at a central location (the depot). The goal of the system is to maintain a number of production facilities (one at each base) in optimal operational condition. Each production facility consists of a number of identical machines which may fail incidentally. Each repair facility may be conside
37#
發(fā)表于 2025-3-27 22:14:06 | 只看該作者
A heuristic to control integrated multi-product multi-machine production-inventory systems with job al times, set-up times and processing times. The inventory points and the production system are controlled integrally by a centralized decision maker. We present a heuristic that minimizes the relevant costs by making near-optimal production and inventory control decisions while target customer serv
38#
發(fā)表于 2025-3-28 04:30:25 | 只看該作者
39#
發(fā)表于 2025-3-28 07:11:42 | 只看該作者
40#
發(fā)表于 2025-3-28 14:03:57 | 只看該作者
Planning order releases for an assembly system with random operation timesms and components that are delivered before they are needed will cause holding costs. All operation times are independent stochastic variables. The objective is to choose starting times for different operations in order to minimize the total expected costs. We suggest an approximate decomposition te
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