The optimal control of just-in-time-based production and distribution systems and performance comparisons with optimized pull systems
From MaRDI portal
Publication:421584
DOI10.1016/j.ejor.2011.03.005zbMath1237.90078OpenAlexW2023674633MaRDI QIDQ421584
Publication date: 14 May 2012
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2011.03.005
optimal controlproductionJIT-based production and distribution systemnew algorithm for optimizing pull systemsnew neuro-dynamic programming algorithmnumerical comparisons of optimized pull systems with near optimal control
Related Items (2)
New approximate dynamic programming algorithms for large-scale undiscounted Markov decision processes and their application to optimize a production and distribution system ⋮ Determining near optimal base-stock levels in two-stage general inventory systems
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Simulation-based algorithms for Markov decision processes.
- Optimization of kanban-based manufacturing systems
- Unified framework for describing and comparing the dynamics of pull control policies
- Simulation-based optimization: Parametric optimization techniques and reinforcement learning
- Comparison among three pull control policies: Kanban, base stock, and generalized kanban
- A unified framework for pull control mechanisms in multi-stage manufacturing systems
- Solving Semi-Markov Decision Problems Using Average Reward Reinforcement Learning
- Simulation optimisation of pull control policies for serial manufacturing lines and assembly manufacturing systems using genetic algorithms
- Mersenne twister
- A comparison of production-line control mechanisms
- The Stability of a Capacitated, Multi-Echelon Production-Inventory System Under a Base-Stock Policy
- An example of simulation optimisation using a neural network metamodel: finding the optimum number of kanbans in a manufacturing system
- Optimal numbers of two kinds of kanbans in a JIT production system
- A comparison of the performance of artificial intelligence techniques for optimizing the number of kanbans
- Computing Optimal Policies for Controlled Tandem Queueing Systems
- Safety Stock versus Safety Time in MRP Controlled Production Systems
- Approximate Dynamic Programming
- Celebrating the enigma: the continuing puzzle of the Toyota Production System
This page was built for publication: The optimal control of just-in-time-based production and distribution systems and performance comparisons with optimized pull systems
