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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Law, Governance and Technology Seriesting the supply chain lead time, or the order-to-delivery time is an important exercise. In this paper, we present stochastic network models for computing the average lead times of make-to-order supply chains. In particular, we illustrate the use of static probabilistic and generalized queueing networks for computing the lead times.

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Analysis of Two-Valve Fluid-Flow Systems with General Repair Times,. The Markov chain has both continuous and discrete states. We have constructed a system of linear equations for the boundary states and a set of differential equations for the interior states, that are solved using the eigenvalue method. We have also investigated the impact of down time variability on the system performance metrics.

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Stochastic Lead Time Models for Supply Chain Networks,ting the supply chain lead time, or the order-to-delivery time is an important exercise. In this paper, we present stochastic network models for computing the average lead times of make-to-order supply chains. In particular, we illustrate the use of static probabilistic and generalized queueing networks for computing the lead times.

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Process Adjustment for Assemblies,esses producing components for assembly. In the single process case, sufficient conditions are given for the optimal policy to have an upper and lower control limit form. In the two process case, we compare separate and combined policies and give an example where appreciable savings can be realized from a combined policy.

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Analysis of Automated Flow Line Systems with Repair Crew Interference,een the production and the repair system. The suggested model and solution approach are particularly helpful in the initial design phase as well as during a redesign process in order to evaluate alternative configurations of the planned production and repair system.

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https://doi.org/10.1007/978-3-031-51067-0eady-state performance measures, like the probability of immediately satisfying a demand, the average number of backordered demands, the average number of finished products, etc. It can be applied for systems assembling any number of components and containing any number of stages in series after the assembly operation.