Abstract
Remanufactured products are normally remanufactured from returned new products. Thus, they can be considered together with new products in product line design to obtain the maximum profit and market share of the product line. This paper proposes a methodology for optimal product line design with simultaneous consideration of remanufactured and new products which mainly involves development of dynamic demand models and multi-objective optimization. The optimization model is solved by nondominated sorting genetic algorithm II (NSGA-II) and optimal Pareto solutions of product line design that include specifications and prices of both remanufactured and new products, estimated profits and market share as well as the time of launching remanufactured products. A case study was conducted to illustrate the effectiveness of the proposed methodology.
| Original language | English |
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| Title of host publication | IEEM 2014 - 2014 IEEE International Conference on Industrial Engineering and Engineering Management |
| Publisher | IEEE Computer Society |
| Pages | 1-5 |
| Number of pages | 5 |
| Volume | 2015-January |
| ISBN (Electronic) | 9781479964109 |
| DOIs | |
| Publication status | Published - 1 Jan 2014 |
| Event | 2014 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2014 - Selangor, Malaysia Duration: 9 Dec 2014 → 12 Dec 2014 |
Conference
| Conference | 2014 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2014 |
|---|---|
| Country/Territory | Malaysia |
| City | Selangor |
| Period | 9/12/14 → 12/12/14 |
Keywords
- Dynamic demand model
- multiobjective optimization
- product line design
- remanufacturing
ASJC Scopus subject areas
- Business, Management and Accounting (miscellaneous)
- Industrial and Manufacturing Engineering
- Safety, Risk, Reliability and Quality