Floor inventory tracking of a Kanban production system
K. Farahmand, B L Heemsbergen
Abstract
K. Farahmand, B L Heemsbergen
Abstract
A model was developed for tracking production floor inventory for a Kanban manufacturing production system. The production (Kanban) parameters used include percent loading, percent availability, yield, lead time, batch time, and cycle time. The model was constructed for a discrete, non continuous simulation of a multi stage dual-card Kanban production system. The performance of the model was monitored by tracking WIP, orders completed, average time in the system, and the production throughput in the JIT/Kanban production environment. The results and the evaluation technique will prove useful in tracking production floor inventory and selection of the right Kanban technique to implement in a given manufacturing process. It will also provide valuable information for anticipating production capabilities of a Kanban system before actual implementation using the simulation technique presented in this paper.
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A model was developed for tracking production floor inventory for a Kanban manufacturing production system. The production (Kanban) parameters used include percent loading, percent availability, yield, lead time, batch time, and cycle time. The model was constructed for a discrete, non continuous simulation of a multi stage dual-card Kanban production system. The performance of the model was monitored by tracking WIP, orders completed, average time in the system, and the production throughput in the JIT/Kanban production environment. The results and the evaluation technique will prove useful in tracking production floor inventory and selection of the right Kanban technique to implement in a given manufacturing process. It will also provide valuable information for anticipating production capabilities of a Kanban system before actual implementation using the simulation technique presented in this paper.
Key concepts: Kanban, Production (economics), Throughput, Computer science, Manufacturing engineering, Continuous production, Process (computing), Discrete event simulation