BID
发表于 2025-3-21 17:45:44
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jettison
发表于 2025-3-21 21:37:27
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Agility
发表于 2025-3-22 04:15:15
Hierarchical Modeling of Stochastic Networks, Part II: Strong Approximations,works. These are the classical open Jackson queueing networks, but without the parametric assumptions of exponential interarrivai and service times (Section 2.5.2 of Part I). The basic results are Functional Strong Approximations (FSAT, Theorem 3.4.1) and a Functional Law of Iterated Logarithm (FLIL
牵索
发表于 2025-3-22 07:29:44
A GSMP Framework for the Analysis of Production Lines, through a detailed study on a serial production Une under the so-called .: the production of each stage is controlled by three parameters that are upper limits on the work-in-process inventory, finished-job inventory, and the overall buffer capacity. In particular, we show that the system satisfies
synovium
发表于 2025-3-22 09:15:17
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Matrimony
发表于 2025-3-22 16:46:06
Perturbation Analysis of Production Networks,. The technique presented, called perturbation analysis, evaluates sensitivities from sample paths, based either on a simulation or on real data..The chapter begins with an overview, based on a single-machine model. It proceeds to address underlying theoretical issues and then examines a variety of
Lumbar-Stenosis
发表于 2025-3-22 19:02:58
Scheduling Networks of Queues: Heavy Traffic Analysis of a Bi-Criteria Problem,ontrollable inputs) populated by various customer types. The objective is to minimize the long run expected average value of a linear combination of the customer sojourn time and the .. The inequity at time . is the sum of squares of the pairwise differences of the total number of customers in the s
tattle
发表于 2025-3-22 23:10:06
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粘土
发表于 2025-3-23 03:34:32
Hierarchical Modeling of Stochastic Networks, Part I: Fluid Models, an intermediate . level, that quantifies the deviations between the micro and the macro in terms of stochastic diffusion approximations. It might be useful to start with an example, of a closed nonparametric Jackson queueing network, that attempts to concretize these levels.
灵敏
发表于 2025-3-23 08:57:36
Stochastic Convexity and Stochastic Majorization,ufacturing process with trial runs, a production network with constant work-in-process (WIP) and WIP-dependent production rate, and scheduling in tandem production lines and parallel assembly systems.