Work

An association analysis of high-price inventory items for semiconductor industry

Year: 2024

Type: article

Abstract: A semiconductor company has hundreds of items for its production, and the costs for some of them are high. Too many high-price items in a warehouse can result in high holding costs, aging items, low turnover rate, and the shortage of storage space. All of these deficiencies can be overcome if idle items can be recommended to satisfy the needs of various departments in a semiconductor company. The requisition data on 69 high-price items from four departments are collected to perform association analysis. The top ten association rules with the highest lift are filtered to discovery relevant items for making recommendations. The associations among high-price items are also used to reallocate their positions in a warehouse so that storekeepers can pick up necessary items efficiently.

Source: Asia Pacific Management Review

DOI: 10.1016/j.apmrv.2024.100348

Authors: Tzu-Tsung Wong, Ying-Jen Chen

Institution: National Cheng Kung University

Language: English

Topic: Data Mining Algorithms and Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $1,600

Funder: Ministry of Science and Technology, Taiwan