Control of a production–inventory system with returns under imperfect advance return information

Flapper, S.D.P.; Gayon, Jean-Philippe; Vercraene, Samuel

doi:10.1016/j.ejor.2011.10.051

Cited by 36 publications

(18 citation statements)

References 15 publications

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“…In the past decades, the interest in product recovery, reverse logistics (RL) and closed-loop supply chains has attracted not only the attention of companies and professionals but also the academic researchers (Dekker et al 2004;Rubio, Chamorro, and Miranda 2008;Sasikumar and Kannan 2008a, 2008bFlapper, Gayon, and Vercraene 2012;Nikolaou, Evangelinos, and Allan 2013). Moreover, RL has become a key competence in modern supply chains (Brito and Dekker 2003;Chan 2007).…”

Section: Introductionmentioning

confidence: 98%

Reverse logistics drivers: empirical evidence from a case study in an emerging economy

Bouzon

Spricigo

Rodriguez

et al. 2015

Production Planning & Control

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Academic and corporate interest in reverse logistics (RL) has risen considerably in recent years. In this context, the objective of this study was to identify the drivers that enable RL practice in an emerging economy. Firstly, international peer-reviewed publications on RL were used to develop a RL environment framework representing the main RL internal and external influences. Secondly, a case-based research was conducted in a large manufacturing company located in Southern Brazil. The results indicated that the most cited driver in the RL literature, the government and legislation, was not a main influence on the studied company. Environmental legislation is still limited in the country and struggles to provide incentives to increase materials recycling. An economic factor related to materials value recovery was also found to drive the backward flow. Finally, knowledge of the RL driving forces may support industries to better implement and manage reverse flows and to bridge the gap between existing and future solutions for reverse supply chains.

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Section: Introductionmentioning

confidence: 98%

Reverse logistics drivers: empirical evidence from a case study in an emerging economy

Bouzon

Spricigo

Rodriguez

et al. 2015

Production Planning & Control

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show abstract

“…Flapper, Ferrer and Ketzenberg (2004) and Gayon and Vercraene (2012) suggested that it might be reasonable to assume that lead times affect the value of information sharing. Assuming that both lead times were stochastic, van der Laan, Salomon and Dekker (1999) numerically investigated the impact of lead times.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Based on an analysis of four different forecasting methods, they concluded that the most informed forecasting method does not always result in the least cost. Flapper, Gayon and Vercraene (2012) considered imperfect advance return information and inventory cost using a Markov decision formulation. A random return lead time was assumed in a model with finite capacity but no correlation existed between demand and returns.…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of information sharing, random yield, correlation, and lead times in closed loop supply chains

Hosoda

Disney

Gavirneni

2015

European Journal of Operational Research

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We investigate the impact of advance notice of product returns on the performance of a decentralised closed loop supply chain. The market demands and the product returns are stochastic and are correlated with each other. The returned products are converted into "as-good-as-new" products and used, together with new products, to satisfy the market demand. The remanufacturing process takes time and is subject to a random yield. We investigate the benefit of the manufacturer obtaining advance notice of product returns from the remanufacturer. We demonstrate that lead times, random yields and the parameters describing the returns play a significant role in the benefit of the advance notice scheme. Our mathematical results offer insights into the benefits of lead time reduction and the adoption of information sharing schemes.

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“…In order to solve this increasing problem, concepts such as sustainable supply chain management (SSCM) have emerged. In addition, in the past decades, the interest in product recovery, reverse logistics, and closed-loop supply chains has attracted not only the attention of companies and professionals but also the researchers (Sasikumar and Kannan 2008a, 2008bFlapper et al 2012;Nikolaou et al 2013). In this context, the green supply chain management (GSCM) is considered as one of the major efforts aiming at the integration of environmental requirements with the SC systems (Govindan et al 2014;Sarkis 2006).…”

Section: Introductionmentioning

confidence: 99%

Sustainable Fashion Supply Chain Management

Choi

Cheng

2015

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Control of a production–inventory system with returns under imperfect advance return information

Cited by 36 publications

References 15 publications

Reverse logistics drivers: empirical evidence from a case study in an emerging economy

Reverse logistics drivers: empirical evidence from a case study in an emerging economy

The impact of information sharing, random yield, correlation, and lead times in closed loop supply chains

Sustainable Fashion Supply Chain Management

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