Using linear programming to analyze and optimize stochastic flow lines
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Publication:2430644
DOI10.1007/S10479-010-0692-3zbMath1209.90135OpenAlexW2076162866WikidataQ57499363 ScholiaQ57499363MaRDI QIDQ2430644
Raik Stolletz, Katja Schimmelpfeng, Svenja Lagershausen, Stefan Helber
Publication date: 8 April 2011
Published in: Annals of Operations Research (Search for Journal in Brave)
Full work available at URL: http://diskussionspapiere.wiwi.uni-hannover.de/pdf_bib/dp-389.pdf
Related Items (5)
A continuous buffer allocation model using stochastic processes ⋮ Multi-fidelity surrogate-based optimization for decomposed buffer allocation problems ⋮ Approximations of time-dependent unreliable flow lines with finite buffers ⋮ Profit-oriented shift scheduling of inbound contact centers with skills-based routing, impatient customers, and retrials ⋮ Buffer allocation in stochastic flow lines via sample-based optimization with initial bounds
Cites Work
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- Manufacturing flow line systems: A review of models and analytical results
- Design of manufacturing systems using queueing models
- Performance analysis of flow lines with non-linear flow of material
- Analytic performance evaluation of distributed systems
- Efficient algorithms for buffer space allocation
- Profit-oriented shift scheduling of inbound contact centers with skills-based routing, impatient customers, and retrials
- Capacity improvement of an unreliable production line -- an analytical approach
- A linear programming approach to capacity estimation of automated production lines with finite buffers
- Performance Analysis of Manufacturing Systems
- Stochastic Modeling of Manufacturing Systems
- Scheduling manufacturing systems with work-in-process inventory control: multiple-part-type systems
- Cash-flow-oriented buffer allocation in stochastic flow lines
- Modeling and Analysis of Three-Stage Transfer Lines with Unreliable Machines and Finite Buffers
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