Simulation and application to measure comparable performance of push,pull and hybrid manufacturing systems

Abstract EN

In this paper we are going to integrate the most popular production systems nowadays that is ; push ,pull production system, ,then we compare the performance of the integrated production model or the hybrid outcome system to push and pull, by introduce a technique that optimizes production control of single product flow shop under the three production control through using the production control framework.

Evaluating a production control policy usually requires simulation modelling due to the complex interaction that occur, a point was considered by simulation package exploit.

Then we demonstrate how this template can be used in con In this paper we are going to integrate the most popular production systems nowadays that is; push, pull production system, ,then we compare the performance of the integrated production model or the hybrid outcome system to push and pull, by introduce a technique that optimizes production control of single product flow shop under the three production control through using the production control framework.

Evaluating a production control policy usually requires simulation modelling due to the complex interaction that occur,a point was considered by simulation package exploit.

Then we demonstrate how this template can be used in c In this paper we are going to integrate the most popular production systems nowadays that is; push , pull production system, ,then we compare the performance of the integrated production model or the hybrid outcome system to push and pull, by introduce a technique that optimizes production control of single product flow shop under the three production control through using the production control framework.

Evaluating a production control policy usually requires simulation modelling due to the complex interaction that occur, a point was considered by simulation package exploit.

Then we demonstrate how this template can be used in conjuction with this existing simulation software to find an optimal production control policy.

Our decision variables are location of the push-pull interface.

An experemental research prototype of such push, pull and hybrid control system has been constructed to emulate a motor production at real world plant in which unit process and operational decisions are integrated.

The simulation software implemented to support the manufacturing system planning and its operational control.

the system configuration, modelling feature and its verification modelling, feature and its verification through an application of the practical manufacturing line will be described.onjuction with this existing simulation software to find an optimal production control policy.

Our decision variables are location of the push-pull interface.

An experemental research prototype of such push, pull and hybrid control system has been constructed to emulate a motor production at real world plant in which unit process and operational decisions are integrated.

The simulation software implemented to support the manufacturing system planning and its operational control.

the system configuration, modelling feature and its verification modelling, feature and its verification through an application of the practical manufacturing line will be described.juction with this existing simulation software to find an optimal production control policy.

Our decision variables are location of the push-pull interface.

An experemental research prototype of such push, pull and hybrid control system has been constructed to emulate a motor production at real world plant in which unit process and operational decisions are integrated.

The simulation software implemented to support the manufacturing system planning and its operational control.

the system configuration, modelling feature and its verification modelling, feature and its verification through an application of the practical manufacturing line will be described.