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Optimal control of a distributed service system with moving resources: Application to the fleet sizing and allocation problem
6 references·3 citing·32 second hop
Optimal control of a distributed service system with moving resources: Application to the fleet sizing and allocation problem (2002)Optimal control of a distributed service …Queueing Networks and Markov Chains (1998)Queueing Networks and Markov …Fleet Sizing and Empty Equipment Redistribution for Center-Terminal Transportation Networks (1997)Fleet Sizing and Empty Equipm…Stochastic Modeling and Analysis of Manufacturing Systems (1996)Stochastic Modeling and Analy…Optimization via simulation: A review (1994)Optimization via simulation: …Jackson Network Models of Manufacturing Systems (1994)Jackson Network Models of Man…Optimal Server Allocation in a System of Multi-Server Stations (1987)Optimal Server Allocation in …Optimization Strategies for Dockless Bike Sharing Systems via two Algorithms of Closed Queuing Networks (2020)Optimization Strategies for D…Rail car fleet design: Optimization of structure and size (2013)Rail car fleet design: Optimi…Search for good policies in a single-warehouse, multi-retailer system by particle swarm optimisation (2010)Search for good policies in a…Networks of Waiting Lines (1957)Mean-Value Analysis of Closed Multichain Queuing Networks (1980)The Queueing Network Analyzer (1983)A simulated annealing approach for buffer allocation in reliable production lines (2000)Efficient algorithms for buffer space allocation (2000)The Value of Advance Demand Information in Production/Inventory Systems (2004)Analysis of Inventory Systems. (1964)Stochastic Modeling and the Theory of Queues (1989)Reverse Logistics: A Review of Case Studies (2005)An integrated approach to managing reverse logistics (2006)Optimal Policies for a Multi-Echelon Inventory Problem (1960)Inventory management and production planning and scheduling (1999)Optimal Policies for a Multi-Echelon Inventory Problem (2004)A Stochastic Approximation Method (1951)Simulation Modeling and Analysis. (1983)Empirical Model Building and Response Surfaces (1988)Discrete Event Systems: Sensitivity Analysis and Stochastic Optimization by the Score Function Method (1995)Simple Procedures for Selecting the Best Simulated System When the Number of Alternatives is Large (2001)Simulation Optimization: A Review, New Developments, and Applications (2006)Deficit Function Bus Scheduling with Deadheading Trip Insertions for Fleet Size Reduction (1981)Robust optimization for fleet planning under uncertainty (2003)Inventory models with lateral transshipments: A review (2010)Open, Closed, and Mixed Networks of Queues with Different Classes of Customers (1975)Parametric Analysis of Queuing Networks (1975)Tradeoff Curves, Targeting and Balancing in Manufacturing Queueing Networks (1989)Algorithms for a Facility Location Problem with Stochastic Customer Demand and Immobile Servers (2002)Retail Inventories and Consumer Choice (1999)Automatic production control applying control theory (2000)DT-bottlenecks in serial production lines: theory and application (2000)Dynamic power management based on continuous-time Markov decision processes (2003)Operations Research and Management Science Handbook (2010)Continuous approximation of collective system behaviour: A tutorial (2013)
this work references cited by second hop

References

  • 1998Queueing Networks and Markov Chains938 cited
  • 1994Optimization via simulation: A review418 cited
  • 1997Fleet Sizing and Empty Equipment Redistribution for Center-Terminal Transportation Networks149 cited
  • 1987Optimal Server Allocation in a System of Multi-Server Stations120 cited
  • 1994Jackson Network Models of Manufacturing Systems118 cited
  • 1996Stochastic Modeling and Analysis of Manufacturing Systems99 cited

Cited by

  • 2013Rail car fleet design: Optimization of structure and size25 cited
  • 2010Search for good policies in a single-warehouse, multi-retailer system by particle swarm optimisation20 cited
  • 2020Optimization Strategies for Dockless Bike Sharing Systems via two Algorithms of Closed Queuing Networks10 cited

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