Supply Chain Management for Production and Logistics Systems of Convenience Stores

2014 Fiscal Year Final Research Report

• Project/Area Number: 23730347
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Business administration
• Research Institution: Momoyama Gakuin University (2013-2014); Nagoya University (2011-2012)
• Principal Investigator: GAKU Rie 桃山学院大学, 経営学部, 准教授 (80584911)
• Project Period (FY): 2011-04-28 – 2015-03-31
• Keywords: シミュレーション / データマイニング手法 / サプライチェーン・マネジメント

Outline of Final Research Achievements

Innovations in ICT over the last two decades have moved business intelligence toward more large-scale business data utilization to efficiently and effectively improve business performance. This project presents several typical information utilization examples, identifies appropriate business data utilization methods, and demonstrates how ICT techniques such as data mining and simulation technology are technically used as analytical implementation tools for production and logistics systems in convenience store supply chains. Some examples of data mining techniques are applications using demand order data of new products proposed to forecast demand trends of new short life-cycle products in this study. Other examples of simulation technology are applications using the order data and POS data collected from convenience stores proposed to understand and validate the operations of an actual supply chain between multiple product enterprises and customers.

Free Research Field

経営工学、経営情報