On Inventory Policies with the Consideration of Inventory Item Relationships

2014 Fiscal Year Final Research Report

• Project/Area Number: 24510192
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Social systems engineering/Safety system
• Research Institution: Tokyo City University
• Principal Investigator: KAKU IKOU 東京都市大学, 環境学部, 教授 (30315618)
• Research Collaborator: XIAO Yiyong 中国北航大学, システム工学科 ; ZHANG Renqian 中国北航大学, 管理学院
• Project Period (FY): 2012-04-01 – 2015-03-31
• Keywords: 在庫管理 / 関連性 / データマイニング / 関連規則 / 多品目

Outline of Final Research Achievements

We investigate how to plan a inventory policy where items are considered to be correlated each other. Our contributions are,(1) We used association rules to describe the relationships of items, made a useful criterion by support-confidence framework and developed a calculation algorithm to evaluate the relationships between items. (2) Several criteria like as Max profit and Min loss are developed. Relationships with time windows are also considered. And substitution rules are discussed. (3) We estimated the cost when lost sales are occurred. (4) Several models including partial and complete backorder based on the new cost function are presented. the production scheduling problem considered the demand of items are associated in future and multilevel lot sizing problem are also discussed.
Our research gives a fundamental inquiry on the assumption of independence of items. It is time to consider what should we do if the items are correlated because there are being in real world.

Free Research Field

経営工学