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Algorithms for the design of a multi-stage adaptive kanban system
16 references·0 citing·36 second hop
Algorithms for the design of a multi-stage adaptive kanban system (2008)Algorithms for the design of a multi-stag…The Value of Advance Demand Information in Production/Inventory Systems (2004)The Value of Advance Demand I…A comparison of Hybrid Push/Pull and CONWIP/Pull production inventory control policies (2003)A comparison of Hybrid Push/P…Simulation-based optimization using simulated annealing with ranking and selection (2002)Simulation-based optimization…An adaptive approach to controlling kanban systems (2001)An adaptive approach to contr…Reacting JIT ordering systems to the unstable changes in demand (1999)Reacting JIT ordering systems…Setting WIP levels with statistical throughput control (STC) in CONWIP production lines (1998)Setting WIP levels with stati…An algorithm to dynamically adjust the number of Kanbans in stochastic processing times and variable demand environment (1997)An algorithm to dynamically a…An Analytical Method for Performance Evaluation of Kanban Controlled Production Systems (1996)An Analytical Method for Perf…Simulation analysis of just-in-time production systems (1995)Simulation analysis of just-i…Analysis of a Kanban Discipline for Cell Coordination in Production Lines, II: Stochastic Demands (1991)Analysis of a Kanban Discipli…Determining the number of kanbans: a step toward non-stock-production (1990)Determining the number of kan…Analysis of a Kanban Discipline for Cell Coordination in Production Lines. I (1990)Analysis of a Kanban Discipli…Analysis of a Kanban Discipline for Cell Coordination in Production Lines. I (1990)Analysis of a Kanban Discipli…Dynamically Adjusting the Number of Kanbans in a Just-in-Time Production System Using Estimated Values of Leadtime (1987)Dynamically Adjusting the Num…An investigation of the factors influencing the number of Kanbans required in the implementation of the JIT technique with Kanbans (1987)An investigation of the facto…A SIMULATION ANALYSIS OF THE JAPANESE JUST‐IN‐TIME TECHNIQUE (WITH KANBANS) FOR A MULTILINE, MULTISTAGE PRODUCTION SYSTEM (1983)A SIMULATION ANALYSIS OF THE …Open, Closed, and Mixed Networks of Queues with Different Classes of Customers (1975)Matrix-Geometric Solutions to Stochastic Models (1984)Analysis of production control systems kanban and CONWIP (1996)A comparison of production-line control mechanisms (1997)The CONWIP production control system: Review and research issues (2003)A Study of the Toyota Production System From an Industrial Engineering Viewpoint (2019)Japanese Manufacturing Techniques: Nine Hidden Lessons in Simplicity (1983)CONWIP: a pull alternative to kanban (1990)Toyota Production System (1993)Dynamic performance of a hybrid inventory system with a Kanban policy in remanufacturing process (2005)Performance improvement potential of sensor embedded products in environmental supply chains (2010)International Journal of Production Research (1962)Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Customer Service in Pull Production Systems (1992)Generic kanban systems for dynamic environments (1994)Overview of Kanban systems (1996)Toyota production system and Kanban system Materialization of just-in-time and respect-for-human system (1977)Japanese manufacturing techniques (1983)An Efficient Decomposition Method for the Approximate Evaluation of Tandem Queues with Finite Storage Space and Blocking (1987)A REVIEW OF THE KANBAN PRODUCTION CONTROL RESEARCH LITERATURE (1992)Chapter 5 Performance evaluation of production networks (1993)Simulation Modeling and Analysis. (1983)The Toyota Production System (1984)INTEGRATING KANBAN TYPE PULL SYSTEMS AND MRP TYPE PUSH SYSTEMS: INSIGHTS FROM A MARKOVIAN MODEL (1992)Desiǵn and analysis of Pull System, a method of multi-staǵe production control (1981)Kanban Controlled Pull Systems: An Analytic Approach (1989)The performance of push and pull systems: a simulation and comparative study† (1989)Introduction to Statistical Quality Control (1992)Factory Physics : Foundations of Manufacturing Management (1995)Toyota production system: beyond large-scale production (1998)Reactive JIT ordering system for changes in the mean and variance of demand (2003)Dynamic card controlling in a Conwip system (2005)A performance comparison between Kanban and CONWIP controlled assembly systems (2008)Comparison of economic benefits of sensor embedded products and conventional products in a multi-product disassembly line (2010)A GENERAL APPROACH FOR COORDINATING PRODUCTION IN MULTIPLE‐CELL MANUFACTURING SYSTEMS (1992)
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References

  • 1983A SIMULATION ANALYSIS OF THE JAPANESE JUST‐IN‐TIME TECHNIQUE (WITH KANBANS) FOR A MULTILINE, MULTISTAGE PRODUCTION SYSTEM208 cited
  • 1990Analysis of a Kanban Discipline for Cell Coordination in Production Lines. I144 cited
  • 2001An adaptive approach to controlling kanban systems140 cited
  • 1990Analysis of a Kanban Discipline for Cell Coordination in Production Lines. I139 cited
  • 1996An Analytical Method for Performance Evaluation of Kanban Controlled Production Systems134 cited
  • 1998Setting WIP levels with statistical throughput control (STC) in CONWIP production lines123 cited
  • 1987Dynamically Adjusting the Number of Kanbans in a Just-in-Time Production System Using Estimated Values of Leadtime118 cited
  • 1987An investigation of the factors influencing the number of Kanbans required in the implementation of the JIT technique with Kanbans106 cited
  • 1997An algorithm to dynamically adjust the number of Kanbans in stochastic processing times and variable demand environment100 cited
  • 1991Analysis of a Kanban Discipline for Cell Coordination in Production Lines, II: Stochastic Demands99 cited
  • 2004The Value of Advance Demand Information in Production/Inventory Systems97 cited
  • 2003A comparison of Hybrid Push/Pull and CONWIP/Pull production inventory control policies86 cited
  • 2002Simulation-based optimization using simulated annealing with ranking and selection75 cited

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  • 1995Simulation analysis of just-in-time production systems62 cited
  • 1999Reacting JIT ordering systems to the unstable changes in demand58 cited
  • 1990Determining the number of kanbans: a step toward non-stock-production55 cited
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