DISASSEMBLY PLANNING BASED ON THE LINEAR INFLATION RULE UNDER STOCHASTIC DEMAND AND YIELD

Abstract

The present study focuses on two stochastic elements, i.e., demand and yield, in planning the disassembly. The disassembly operation produces multiple types of parts, and the demand for each part type is generated independently. The present study applies the linear inflation rule (LIR) to the disassembly planning. The LIR defines the order quantity to minimize the expected cost by using a simple equation. The LIR assumes a single type of output. Thus the present study applies LIR to a selected part to obtain the quantity to be disassembled. This method may produce excess inventory or incur shortage in other parts. Thus it is allowed to dispose disassembled parts or purchase new parts adequately. As the selection of the maximum and minimum inventory levels greatly affects the performance, a single simulation run is applied, and the collected data are utilized to estimate the total cost under the different levels of maximum and minimum inventory. The effectiveness of the proposed method is confirmed through the numerical experiments.