Simulation Analysis of Order and Kanban Sequencing Rules in a Kanban-Controlled Flow Shop

Abstract

This paper presents a simulation study of several customer order and kanban sequencing/selection rules in a kanban-controlled flow shop. Kanbans are used to authorize production within a work center and withdrawals from previous work cen ters. In addition to single queue sequencing rules such as first-come, first-served (FCFS) and shortest processing time first (SPT), a set ofmul tiple queue selection rules are defined for produc tion kanbans. Furthermore, assuming that the orders wait in separate queues determined by part type, single queue sequencing rules are ap plied to customer orders within each queue. A simulation model is developed to investigate the effect of kanban-order sequencing rule combina tions on performance measures such as mean order cycle time, lateness, and tardiness. The re sults indicate that the shortest processing time first-smallest order quantity combination (SPT- SOQ) is the best operating policy.

Keywords

Kanban sequencing flow shop

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