Implementation of Dual Kanban System: Simulation Approach Empirical Study in the State Company of Leather Industries-Factory 7
Abdul Karim Muhsin Bakir, Ali Mouat Sa'ad
Abstract
Abdul Karim Muhsin Bakir, Ali Mouat Sa'ad
Abstract
This research aims to empirically examine the implementation of Dual Kanban System Using Stochastic Simulation. It simulates the effect of two variables: varied processing times and machines breakdowns on the success of the Kanban system implementation. Q-Basic was used to build and operate the simulation model. The empirical operating of Kanban system showed that the results achieved were better than the research sample studied in terms of increased output by (10.5%), improved capacity utilization (11%), and reduced WIP inventory by (10%). Despite the positive results of the Kanban system, the research revealed that both variables have negative impacts on the Kanban implementation which suggests the need for improvement programmes to handle these impacts.
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This research aims to empirically examine the implementation of Dual Kanban System Using Stochastic Simulation. It simulates the effect of two variables: varied processing times and machines breakdowns on the success of the Kanban system implementation. Q-Basic was used to build and operate the simulation model. The empirical operating of Kanban system showed that the results achieved were better than the research sample studied in terms of increased output by (10.5%), improved capacity utilization (11%), and reduced WIP inventory by (10%). Despite the positive results of the Kanban system, the research revealed that both variables have negative impacts on the Kanban implementation which suggests the need for improvement programmes to handle these impacts.
Key concepts: Kanban, Factory (object-oriented programming), Dual (grammatical number), Empirical research, Computer science, Sample (material), Manufacturing engineering, Operations management