Closed-loop supply chains: What reverse logistics factors influence performance?

Cannella, Salvatore; Bruccoleri, Manfredi; Framiñán, José M.

doi:10.1016/j.ijpe.2016.01.012

Cited by 100 publications

(125 citation statements)

References 59 publications

(72 reference statements)

Supporting

Mentioning

100

Contrasting

Order By: Relevance

“…They showed that by appropriately making use of available information, the closed-loop supply chain might benefit from a significantly reduced order variability. Later pieces of research have confirmed that closed-loop systems may experience a lower Bullwhip Effect than open-loop ones in the context of perfect correlation; see , Zhou and Disney (2006), Turrisi, Bruccoleri, and Cannella (2013), Zhang and Yuan (2016), Cannella, Bruccoleri, and Framinan (2016), Dev, Shankar, and Choudhary (2017), and Zhou, Naim, and Disney (2017). This implies that the reverse supply chain plays a beneficial role to reduce control uncertainty in the system.…”

Section: Main Insights Derived From the Articles In This Fieldmentioning

confidence: 97%

“…As a result of this search, we identified 29 articles in the time interval 1994-2017 (November). These were the following (in chronological, and then alphabetical, order): Kumar, Vrat, and Sushil (1994), Tang and Naim (2004), Zanoni, Ferretti, and Tang (2006), Zhou and Disney (2006), , Pati, Vrat, and Kumar (2010), Ruebeck and Pfaffmann (2011), Adenso-Díaz et al (2012), Das and Dutta (2013), Jing et al (2013), Lehr, Thun, and Milling (2013), Li (2013), Turrisi, Bruccoleri, and Cannella (2013), Corum, Vayvay, and Bayraktar (2014), , , Shi, Sheng, and Xu (2015), Yuan and Zhang (2015), Cannella, Bruccoleri, and Framinan (2016), He, Yuan, and Zhang (2016), Liu et al (2016), Wei and Yuan (2016), Zhang and Yuan (2016), Dev, Shankar, and Choudhary (2017), Harris and Natarajarathinam (2017), Salviano and Andres (2017), Wang et al (2017), Zhang, Li, and Zhang (2017), and Zhou, Naim, and Disney (2017).…”

Section: Locating and Selecting The Relevant Studiesmentioning

confidence: 99%

“…Following the work of Tang and Naim (2004), most of the studies (specifically, 19 out of the 25 articles) explore the dynamics of closedloop supply chains via hybrid systems with both manufacturing and remanufacturing processes. It should be noted that we have included within this category studies that, besides remanufacturing, also consider other forms of material recovery in more complex (multi-echelon) supply chain structures, such as the recent works by Cannella, Bruccoleri, and Framinan (2016), Sy (2017) and Zhou, Naim, and Disney (2017). This constitutes an emerging avenue of research in this field.…”

Section: Quality Assessment and Data Extractionmentioning

confidence: 99%

See 2 more Smart Citations

The boomerang returns? Accounting for the impact of uncertainties on the dynamics of remanufacturing systems

Goltsos

Ponte

Wang

et al. 2018

International Journal of Production Research

View full text Add to dashboard Cite

Recent years have witnessed companies abandon traditional open-loop supply chain structures in favour of closed-loop variants, in a bid to mitigate environmental impacts and exploit economic opportunities. Central to the closed-loop paradigm is remanufacturing: the restoration of used products to useful life. While this operational model has huge potential to extend product life-cycles, the collection and recovery processes diminish the effectiveness of existing control mechanisms for open-loop systems. We systematically review the literature in the field of closed-loop supply chain dynamics, which explores the time-varying interactions of material and information flows in the different elements of remanufacturing supply chains. We supplement this with further reviews of what we call the three 'pillars' of such systems, i.e. forecasting, collection, and inventory and production control. This provides us with an interdisciplinary lens to investigate how a 'boomerang' effect (i.e. sale, consumption, and return processes) impacts on the behaviour of the closed-loop system and to understand how it can be controlled. To facilitate this, we contrast closed-loop supply chain dynamics research to the welldeveloped research in each pillar; explore how different disciplines have accommodated the supply, process, demand, and control uncertainties; and provide insights for future research on the dynamics of remanufacturing systems.

show abstract

Section: Main Insights Derived From the Articles In This Fieldmentioning

confidence: 97%

Section: Locating and Selecting The Relevant Studiesmentioning

confidence: 99%

Section: Quality Assessment and Data Extractionmentioning

confidence: 99%

See 1 more Smart Citation

The boomerang returns? Accounting for the impact of uncertainties on the dynamics of remanufacturing systems

Goltsos

Ponte

Wang

et al. 2018

International Journal of Production Research

View full text Add to dashboard Cite

show abstract

“…i.e., Huang (2016) introduced the condition of reverse logistics supplier selection, which is the rough set based approach to generic routing problems [2]. Cannella (2016) concerned closed-loop supply chains and the reverse logistics factors to influence performance [3].…”

Section: Introductionmentioning

confidence: 99%

An Integrated Strategy for Cost Optimization of Reverse Logistics Network Under Uncertain Environment

Ma¹

2017

IJEFM

View full text Add to dashboard Cite

Abstract:In uncertain environment, it is very difficult to optimize both cost and performance in complex reverse logistics network. This paper develops an integrated strategy to solve the cost optimization problem in reverse logistics network. First, the integrated scheme is based on the fuzzy AHP, where the cost coefficient and the demand quantities are modeled as fuzzy numbers to measure different uncertain factors. Second, the linear programming is introduced for cost optimization to calculate the operational objective function of the reverse logistics network. Third, some experiments are made to verify the proposed model. According to different uncertain factors, the optimal cost strategy can be constructed for uncertain use demand. Last, some interesting conclusions are drawn on the proposed method for decision makers to optimize the cost of the reverse logistics network, and future work direction is also provided.

show abstract

“…Cannella et al [10][11][12][13][14] investigated the inventory policies in multi-echelon supply chains by simulation, and the case with collaboration in supply chains is also discussed. Furthermore, they conducted research of the bullwhip effect in closed-loop supply chains.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Complexity Entropy and Chaos Control of the Bullwhip Effect Considering Price of Evolutionary Game between Two Retailers

Lou

2016

Entropy

View full text Add to dashboard Cite

Abstract:In this research, a model is established to represent a supply chain, which consists of one manufacturer and two retailers. The price-sensitive demand model is considered and the price game system is built according to the rule of bounded rationality as well as the entropy theory. With the increase of the price adjustment speed, the game system may go into chaos from the stable and periodic state. The bullwhip effect and inventory variance ratio of different stages that the system falls in are compared in real time. We also employ the delayed feedback control method to control the system and succeed in mitigating the bullwhip effect of the system. On the whole, the bullwhip effect and inventory variance ratio in the stable state are smaller than those in period-doubling and chaos. In the stable state, there is an optimal price adjustment speed to obtain both the lowest bullwhip effect and inventory variance ratio.

show abstract

Closed-loop supply chains: What reverse logistics factors influence performance?

Cited by 100 publications

References 59 publications

The boomerang returns? Accounting for the impact of uncertainties on the dynamics of remanufacturing systems

The boomerang returns? Accounting for the impact of uncertainties on the dynamics of remanufacturing systems

An Integrated Strategy for Cost Optimization of Reverse Logistics Network Under Uncertain Environment

Analysis of the Complexity Entropy and Chaos Control of the Bullwhip Effect Considering Price of Evolutionary Game between Two Retailers

Contact Info

Product

Resources

About