Optimal Pricing in Recycling and Remanufacturing in Uncertain Environments

Guangzhou Yan, Yaodong Ni and Xiangfeng Yang
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Guangzhou Yan: School of Information Technology and Management, University of International Business and Economics, Beijing 100029, China
Yaodong Ni: School of Information Technology and Management, University of International Business and Economics, Beijing 100029, China
Xiangfeng Yang: School of Information Technology and Management, University of International Business and Economics, Beijing 100029, China

Sustainability, 2020, vol. 12, issue 8, 1-16

Abstract: With the increasing awareness of environmental protection, firms pay much more attention to the recycling and remanufacturing of used products. This paper addresses the problem of the optimal pricing in recycling and remanufacturing in uncertain environments. We consider two strategies of remanufacturing products, by which a recycled product can be repaired and sold as a second-hand product or dissembled into materials for production of new products according to its quality. As the market demand for products and the quantities of recycled products, such as fashion products and mobile phones, usually lack historical data, this paper adopts uncertainty theory to depict uncertainty in establishing the pricing model. An uncertain programming model and a series of crisp equivalent models are proposed under the assumptions of particular uncertainty distribution. Finally, numerical experiments are performed to show how various parameters influence the results of the proposed model.

Keywords: optimal pricing; remanufacturing; recycling; uncertain variable; uncertain programming (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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