Heuristic method on solving an inventory model for products with optional components under stochastic payment and budget constraints

Tai Yue Wang, Jui Ming Hu

研究成果: Article同行評審

10 引文 斯高帕斯(Scopus)

摘要

In recent years, enterprises must manage the inventory of items produced by multiple components and the interactions among those items because of a growing emphasis on modularization and customization. In fact, a powerful and affordable information technology system can make the continuous review of inventory more convenient, efficient, and effective. Thus, a (Q, r) model is developed in this study to find the optimal lot size and reorder point for a multi-item inventory model with interactions between necessary and optional components. In order to accurately approximate the related costs, the service cost is introduced and defined in proportion to the service level. In addition, the service costs are incorporated with budget constraint because the firm's strategy could influence the choice of service level. The proposed model is formulated as a nonlinear, discrete optimization problem and some known procedures are revised to solve this problem. The results are compared with other models and show that the revised procedure performs better than the N-R procedure leading to the important insights about inventory control policy. The results also reveal that the total amount allowed for the issued orders is paid at the time an order is received when the budget constraint is elastic.

原文English
頁(從 - 到)2588-2598
頁數11
期刊Expert Systems With Applications
37
發行號3
DOIs
出版狀態Published - 2010 3月 15

All Science Journal Classification (ASJC) codes

  • 一般工程
  • 電腦科學應用
  • 人工智慧

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