Abstract
This paper considers a single product closed loop supply chain, in which the manufacturer faces an uncertain market demand and price-dependent stochastic returns. There are two options for supplying the products: either producing products by new materials and components, or remanufacturing the recycle products and bringing them back to 'as new' conditions. The problem is to determine the quantities of bran-new and remanufactured products, and the acquisition price for used products so that the manufacturer's total expected profit is maximized. We develop a Nonlinear Programming (NLP) model and present some properties of this problem. With the properties an optimal solution approach is developed. Two numerical examples are used to analyze the problem and test the solution approach. © 2009 IEEE.
| Original language | English |
|---|---|
| Title of host publication | 2009 International Conference on Business Intelligence and Financial Engineering, BIFE 2009 |
| Pages | 616-620 |
| DOIs | |
| Publication status | Published - 2009 |
| Event | 2009 International Conference on Business Intelligence and Financial Engineering, BIFE 2009 - Beijing, China Duration: 24 Jul 2009 → 26 Jul 2009 |
Conference
| Conference | 2009 International Conference on Business Intelligence and Financial Engineering, BIFE 2009 |
|---|---|
| Place | China |
| City | Beijing |
| Period | 24/07/09 → 26/07/09 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Research Keywords
- Newsvendor
- Pricing
- Supply planning
- Uncertain demand
- Uncertain return
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