Abstract
A closed-loop supply chain includes the forward supply chain and the reverse supply chain. In a reverse supply chain, the used products are collected from the end-customers. Hence, the return rate of used products is affected by the end-customer's willingness, and the end-customer's willingness is affected by the collecting price. In a forward supply chain, the wholesale price and the retail price will be affected by the collecting price. In this paper, we focus on the managements of the collecting price, the wholesale price and the retail price for the closed-loop supply chain. On the assumption that the return rate of the used products is an increasing function of the collecting price, we obtain the optimal collecting price, the optimal wholesale price and the optimal retail price based on the following models: Model CMRC (The manufacturer for collecting), Model CRMRC (The retailer for collecting) and Model CTMRC (The third party for collecting). By comparing the optimal pricing and the profits of the models, we find that the manufacturer for collecting is the best choice, and the retailer for collecting is another choice if the manufacturer has decided to transfer all its cost saving to the retailer. At the end of the paper, a numerical example is given to illustrate the optimal results.
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Acknowledgements
The authors would like to thank the referees for the constructive suggestions, which have led the authors to consider more deeply the motivation, modelling and implications of the model. This work was supported by the Ministry of Education Project of Humanities and Social Sciences of China under Grant No. 02JAZ790007 and China Postdoctoral Science Foundation under Grant No. 20060390626.
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1 Gu Qiaolun is a postdoctor at Antai College of Economics & Management, Shanghai Jiaotong University. She received the BE degree in Mathematics and Applied Mathematics from Hebei Teacher's University in 1989, the ME degree in Mathemuties and Applied Mathematics from Hebei University of Technology in 1992, and the PhD degree in Control Theory and Control Engineering from Nankai University in 2005, China. Since November 2006, she has been a Professor at Computer Department, Tianjin University of Technology and Education, China. Her research interests are in the areas of operations management, logistics and supply chain management.
2 Ji Jianhua is professor, Doctorate supervisor, Secretary of Chinese Communist Party and Director of Logistics Research Introduction of Shanghai Jiaotong University, Professor JI also serve as China logistics expert granted by CFLP, logistics planning expert of China 11th five-year technology plan, member of operation management committee of China management modern research institute, journal reviewer of some important academic journals such as ‘Systems Engineering — Theory & Practice’, ‘Journal of Tianjin University’, etc, and professional expert of Council of Supply Chain Management Professionals (CSCMP). Her research interests are in the areas of operations management, logistics and supply chain management, and mass customisation.
3 Gao Tiegang born in 1966, received BE and ME degrees in Mathematics and Applied Mathematics from Hebei Teacher's University and Huazhong University of Science and Technology, Chjian, in 1988 and 1990, respectively, and the PhD degree in Control Theory and Control Engineering from Nankai University, China, in 2005. Since July 2004, he has been working in College of Software, Nankai University, China. He is currently a professor, whose main research interests are nonlinear system, chaos theory and information security. He has authored/coauthored more than 40 journal papers in these areas.
Appendix
Appendix
Proof of Proposition 5
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We divide the proof into two parts:
(i) To prove that ω*CMRC<ω*CTMRC
Note that,
ω*CTMRC is an increasing function of b when b>[k(cm−crm)+c]/k+1, which is true by ∂ω*CTMRC/∂b>0, ω*CTMRC is an decreasing function of b when b<k(cm−crm)+c/k+1, which is true by ∂ω*CTMRC/∂b<0, and ω*CTMRC takes its minimum value (we note that Minω*CTMRC) at the point of b=[k(cm−crm)+c]/(k+1) and Minω*CTMRC=(φ+βcm)/(2β)−[γkk(cm−crm−c)k+1/(2(k+1)k+1)]× (k/(k+1))k.
To prove that ω*CMRC<ω*CTMRC, we have to show
which holds by 0<k<1. Hence, ω*CMRC<ω*CTMRC.
(ii) To prove that ω*CTMRC<ω*CRMRC
The proof of ω*CTMRC<ω*CRMRC can be easily observed from Table 1.
Proof of Proposition 6
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We divide the proof into two parts:
(i) To prove that p*CMRC⩽p*CRMRC, we have to show that
We note,
In order to prove γkk(cm−crm−c)k+1/(4(k+1)k+1) ⩾[(cm−crm−b)/4+(b−c)/(4(k+1))]×γkk(b−c)k/(k+1)k, we have to show that Δ(b) is an increasing function of b and the max value of Δ(b) is γkk(cm−crm−c)k+1/(4(k+1)k+1). The former holds by ∂Δ(b)/∂b=[γkk(b−c)k+1/(4(k+1)k+1)(k+1)(cm−crm−b)>0, and the latter is true by 0<b<(cm−crm) and Δ(cm−crm)=γkk(cm−crm−c)k+1/4(k+1)k+1. Hence, p*CMRC⩽p*CRMRC.
(ii) To prove that p*CRMRC<p*CTMRC
The proof of p*CRMRC<p*CTMRC can be easily observed from Table 1.
Because the ordering for the retail price p* holds, the ordering for the demands of the channels follows trivially.
Proof of Proposition 7
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We divide the proof into three parts:
(i) The proof of ΠM*CMRC⩾ΠM*CRMRC>ΠM*CTMRC
From the proof of p*CMRC⩽p*CRMRC<p*CTMRC, we can obtain
Note that β>0; we can show
and
Hence, ΠM*CMRC⩾ΠM*CRMRC>ΠM*CTMRC.
(ii) The proof of ΠR*CMRC⩾ΠR*CRMRC>ΠR*CTMRC
In a manner similar to that in the proof of ΠM*CMRC⩾ΠM*CRMRC>ΠM*CTMRC, we can easily prove that ΠR*CMRC⩾ΠR*CRMRC>ΠR*CTMRC.
(iii) The proof of Π*CMRC⩾Π*CRMRC>Π*CTMRC
Obviously, Π*CMRC⩾Π*CRMRC holds by ΠM*CMRC⩾ΠM*CRMRC, ΠR*CMRC⩾ΠR*CRMRC, Π*CMRC=ΠM*CMRC+ΠR*CMRC, and Π*CRMRC=ΠM*CRMRC+ΠR*CRMRC.
Easily, Π*CRMRC>ΠR*CTMRC is true by
Hence, ΠM*CMRC⩾ΠM*CRMRC>ΠM*CTMRC.
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Qiaolun, G., Jianhua, J. & Tiegang, G. Pricing management for a closed-loop supply chain. J Revenue Pricing Manag 7, 45–60 (2008). https://doi.org/10.1057/palgrave.rpm.5160122
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DOI: https://doi.org/10.1057/palgrave.rpm.5160122