Pricing decisions in a multi-criteria setting for product recovery facilities |
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Authors: | Srikanth Vadde Abe Zeid Sagar V Kamarthi |
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Institution: | Department of Mechanical and Industrial Engineering, Northeastern University, 360 Huntington Avenue, 334 Snell Engg. Center, Boston, MA 02115, USA |
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Abstract: | Unpredictability in the arrival time and quantity of discarded products at product recovery facilities (PRFs) and varying demand for recovered components contribute to the volatility in their inventory levels. Achieving profit under such capricious inventory levels and stringent environmental legislations remains a challenge to many PRFs. This paper presents a multi-criteria decision model to determine a pricing policy that can simultaneously address two issues: stabilize inventory fluctuations and boost profits. The model considers that PRFs passively accepts discarded products as well as acquires them proactively if necessary. Under a multi-criteria setting, the current work determines prices of reusable and recyclable components to maximize revenue and minimize product recovery costs. A genetic algorithm is employed to solve the multi-criteria decision making problem. Sensitivity analysis is performed to investigate the effect of sorting yield, disassembly yield, and reusable component yield on the profits, prices, inventory levels, and disposal quantities. |
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Keywords: | Product recovery Pricing models Inventory control Remanufactured products Multi-criteria Genetic algorithms Decision making/process Deterministic demand Multi-criteria Operational/OR Optimization Production planning and control Sensitivity analysis |
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