Kanban Number Decision with Bi-objective for JIT Production System

Abstract

Abstract:

The past literature of Kanban number decision mainly focused on calculation under single objective optimization for JIT production system. In this research, a calculation method for Kanban number under biobjective optimization is proposed based on the design of experiment (DOE) and Witness simulation. The method considers both maximum order fill rate and minimum WIP inventory level. Taking the case of CR nozzle′s JIT production system of B Company, its witness simulation model is constructed to provide data for the design of experiment. The levels of the orthogonal experiment are set up based on the Kanban size and number of each loop of the CR nozzle′s JIT product system. Then, a full factorial experiment design is used to get nine groups of Kanban number Paretooptimal solutions under the performance measurement of order fill rate and WIP inventory level. The Kanban numbers satisfying Paretooptimal solutions form the Pareto front of optimal Kanban number combinations, from which B Company′s production planners can select appropriate Kanban number according to different production demand. The experiment results demonstrate the validity and the feasibility of the method.

Key words: JIT, Kanban number, design of experiment, order fill rate, WIP inventory

ZHANG Libo1，JIANG Zhiping2. Kanban Number Decision with Bi-objective for JIT Production System[J]. Industrial Engineering Journal .

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