4 research outputs found
A simulation-enhanced lean design process
A traditional lean transformation process does not validate the future state
before implementation, relying instead on a series of iterations to modify the system until
performance is satisfactory. An enhanced lean process that includes future state validation
before implementation is presented. Simulation modeling and experimentation is
proposed as the primary validation tool. Simulation modeling and experimentation
extends value stream mapping to include time, the behavior of individual entities,
structural variability, random variability, and component interaction effects. Experiments
to analyze the model and draw conclusions about whether the lean transformation
effectively addresses the current state gap can be conducted. Industrial applications of the
enhanced lean process show it effectivenessPeer Reviewe
A case study of lean, sustainable manufacturing
A small furniture production company has integrated lean tools and sustainability concepts with discrete event simulation modeling and analysis as well as mathematical optimization to make a positive impact on the environment, society and its own financial success. The principles of lean manufacturing that aid in the elimination of waste have helped the company meet ever increasing customer demands while preserving valuable resources for future generations. The implementation of lean and sustainable manufacturing was aided by the use of discrete event simulation and optimization to overcome deficits in lean’s traditional implementation strategies. Lean and green manufacturing can have a more significant, positive impact on multiple measures of operational performance when implemented concurrently rather than separately. These ideas are demonstrated by three applicationsPeer Reviewe
A simulation-enhanced lean design process
A traditional lean transformation process does not validate the future state
before implementation, relying instead on a series of iterations to modify the system until
performance is satisfactory. An enhanced lean process that includes future state validation
before implementation is presented. Simulation modeling and experimentation is
proposed as the primary validation tool. Simulation modeling and experimentation
extends value stream mapping to include time, the behavior of individual entities,
structural variability, random variability, and component interaction effects. Experiments
to analyze the model and draw conclusions about whether the lean transformation
effectively addresses the current state gap can be conducted. Industrial applications of the
enhanced lean process show it effectivenessPeer Reviewe
A case study of lean, sustainable manufacturing
A small furniture production company has integrated lean tools and sustainability concepts with discrete event simulation modeling and analysis as well as mathematical optimization to make a positive impact on the environment, society and its own financial success. The principles of lean manufacturing that aid in the elimination of waste have helped the company meet ever increasing customer demands while preserving valuable resources for future generations. The implementation of lean and sustainable manufacturing was aided by the use of discrete event simulation and optimization to overcome deficits in lean’s traditional implementation strategies. Lean and green manufacturing can have a more significant, positive impact on multiple measures of operational performance when implemented concurrently rather than separately. These ideas are demonstrated by three applicationsPeer Reviewe