Processing Networks with Inventories: Sequential Refinement Systems

DOI10.1287/opre.43.6.1025zbMath0852.90085OpenAlexW2033338218MaRDI QIDQ4887725

Yong Joo Lee, Paul Zipkin

Publication date: 5 August 1996

Published in: Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1287/opre.43.6.1025

zbMATH Keywords

simulationapproximation schemeestimating performancemake-to-stock production systemMarkovian laws

Mathematics Subject Classification ID

Queues and service in operations research (90B22) Production models (90B30) Deterministic network models in operations research (90B10) Applications of Markov renewal processes (reliability, queueing networks, etc.) (60K20)

Related Items (12)

The impact of delayed differentiation in make-to-order environments ⋮ Approximation methods for the analysis of a multicomponent, multiproduct assemble-to-order system ⋮ Approximate queueing models for capacitated multi-stage inventory systems under base-stock control ⋮ Optimizing a production-inventory system under a cost target ⋮ Processing networks with planned inventories: Tandem queues with feedback ⋮ On minimizing downside risk in <scp>make‐to‐stock</scp>, <scp>risk‐averse</scp> firms ⋮ Optimizing a single-product production-inventory system under constant absolute risk aversion ⋮ Analysis of second order properties of production-inventory systems with lost sales ⋮ Stability of queueing-inventory systems with customers of different priorities ⋮ A typology and literature review on stochastic multi-echelon inventory models ⋮ Cost-effective inventory control in a value-added manufacturing system ⋮ Materials coordination in stochastic multi-echelon systems

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