Closed loop supply chains with variable remanufacturability and the impact of subsidy and penalty by government

2008 ◽  
Author(s):  
Kil Jin Lee

2019 ◽  
Vol 218 ◽  
pp. 966-974 ◽  
Author(s):  
Ivan Russo ◽  
Ilenia Confente ◽  
Daniele Scarpi ◽  
Benjamin T. Hazen




2019 ◽  
Vol 11 (5) ◽  
pp. 1420 ◽  
Author(s):  
Xiaodong Zhu ◽  
Lingfei Yu

Consumers cannot fully assess the quality of remanufactured products prior to purchase. To reduce consumer risk, closed-loop supply chains adopt a warranty strategy to enhance perceived value among customers and stimulate green growth. Based on Stackelberg game theory and considering consumers’ low-carbon and remanufactured product preferences, this paper aims to explore the decision-making efficiency of closed-loop supply chains with warranty services. The results of the study show that consumers’ confidence in purchasing remanufactured products has increased the demand for new products and remanufactured products, in turn also increasing the interest of the member companies of the supply chain, and stimulating the realization of the potential value of remanufacturing, which is conducive to green growth. When a remanufactured product warranty period meets certain conditions, the member companies of the supply chain can obtain optimal profit. The optimal warranty entity selection of a closed-loop supply chain with a warranty service depends on the warranty efficiency of each entity, thus making it necessary to examine the products of each warranty party.



2015 ◽  
Vol 246 (3) ◽  
pp. 827-836 ◽  
Author(s):  
Takamichi Hosoda ◽  
Stephen M. Disney ◽  
Srinagesh Gavirneni


Author(s):  
Christos I. Papanagnou

AbstractClosed-loop supply chains are complex systems as they involve the seamless backward and forward flow of products and information. With the advent of e-commerce and online shopping, there has been a growing interest in product returns and the associated impact on inventory variance and the bullwhip effect. In this paper, a novel four-echelon closed-loop supply chain model is presented, where base-stock replenishment policies are modelled by means of a proportional controller. A stochastic state-space model is implemented, initially to capture the supply chain dynamics while the model is analysed under stationarity conditions with the aid of a covariance matrix. This allows the bullwhip effect to be expressed as a function of replenishment policies and product return rates. Next, an optimisation method is introduced to study the impact of the Internet of Things on inventory variance and the bullwhip effect. The results show that the Internet of Things can reduce costs associated with inventory fluctuations and eliminate the bullwhip effect in closed-loop supply chains.



Author(s):  
Zhidan Wu ◽  
Xiaohu Qian ◽  
Min Huang ◽  
Wai Ki Ching ◽  
Xingwei Wang ◽  
...  


Procedia CIRP ◽  
2021 ◽  
Vol 98 ◽  
pp. 464-469
Author(s):  
Christian Scheller ◽  
Steffen Blömeke ◽  
Mathias Nippraschk ◽  
Kerstin Schmidt ◽  
Mark Mennenga ◽  
...  


2013 ◽  
Vol 52 (46) ◽  
pp. 16267-16283 ◽  
Author(s):  
T. Sundar Raj ◽  
S. Lakshminarayanan ◽  
J. F. Forbes


2003 ◽  
Vol 33 (6) ◽  
pp. 3-6 ◽  
Author(s):  
V. Daniel R. Guide ◽  
Terry P. Harrison ◽  
Luk N. Van Wassenhove


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