Forecasting Returns in Reverse Logistics Using GERT Network Theory

摘要：

The objective of this study is to explore a new approach to the forecasting of returns. Here, ‘returns’ refers to used products which can be sorted into resalable products, remanufacturing-able parts, renewable materials, and otherwise disposable waste. This research establishes a model by adopting the Graphical Evaluation and Review Technique (GERT) network theory combined with Bill of Material (BOM) to forecast returns. By using this model, the probability, the quantity and the expected timing of the returns can be predicted. Additionally, in line with the product BOM, the corresponding scale of reuse, i.e. remanufacturing-able parts and renewable materials, can also be forecasted. A numeric example is provided at the end of the study.

关键词： forecasting returns reverse logistics GERT network BOM

作者: Li Zhou Jiaping Xie Yong Lin

作者单位: Systems Management and Strategy, Business School, University of Greenwich, Park Row, London, SE10 9L School of International Business Administration & Top 500 Enterprises Research Center, Shanghai Univ

会议类型: 国际会议

会议名称: 第五届响应制造国际会议(ICRM Papers 2010)

会议地点: 宁波

会议语种:英文

页码: 349-356

在线出版日期: 2010-01-11（万方平台首次上网日期，不代表论文的发表时间）