Design and planning of a closed-loop supply chain with three way recovery and buy-back offer

Dutta, Pankaj; Das, Debabrata; Schultmann, Frank; Fröhling, Magnus

doi:10.1016/j.jclepro.2016.06.108

Cited by 76 publications

(42 citation statements)

References 63 publications

(85 reference statements)

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“…Table 7a-b show the contingency factors, the number of times each factor is examined within the selected papers, and the specific papers addressing the factor. et al (2004), Bhattachary and Kaur (2015), Chen et al (2015), Dehghanbaghi et al (2016), Krikke et al (2013), Li (2013), Mitra (2007), Keyvanshokooh et al (2013), Zikopoulos (2017), Moshtagh and Taleizadeh (2017) Core product recoverability 8 Abdulrahman et al (2015), Debo et al (2006), Dehghanbaghi et al (2016), Ghayebloo et al (2015), Huynh et al (2016), Pigosso et al (2010), Thierry et al (1995), Zikopuolos and Tagars (2007) Amount of incentive necessary to reaquire core products 7 Aras and Aksen (2008), Das and Dutta (2013), Dutta (2015), De Giovanni et al (2016), Dutta et al (2016), Heydari et al (2017), Das and Dutta (2016) Customers' valuation of RSC-enabled services (e.g. repair) 6…”

Section: The Contingency Factors Decisive For the Size Of The Rsc's Cmentioning

confidence: 99%

How the reverse supply chain impacts the firm’s financial performance

Larsen

Masi

Feibert

et al. 2018

IJPDLM

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Section: The Contingency Factors Decisive For the Size Of The Rsc's Cmentioning

confidence: 99%

How the reverse supply chain impacts the firm’s financial performance

Larsen

Masi

Feibert

et al. 2018

IJPDLM

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“…1 Replacement purchases have also become useful mechanisms for durable goods manufacturers to efficiently manage their closed-loop operations by creating better control over their product return streams. The success of any closed-loop system depends on the efficiency of its product return stream (Dutta et al 2016, Li et al 2011, Tang and Zhou 2012, and replacement purchases, in particular, can help manufacturers manage the quantity, quality, and timing of their product returns (Guide andWassenhove 2001, Souza 2013).…”

Section: Introductionmentioning

confidence: 99%

On the Non‐Equivalence of Trade‐ins and Upgrades in the Presence of Framing Effect: Experimental Evidence and Implications for Theory

Mahmoudzadeh

2020

Production and Operations Management

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Manufacturers of durable goods often buy back older versions of their products from customers to encourage them to switch to improved versions and to create control over product return streams in their closed‐loop systems. Classical models and conventional wisdom have long ignored that the framing of these buyback schemes, whether through trade‐ins or upgrades, can matter for theory. Using the reference‐point shift mechanism, we provide experimental evidence that the alternative frames are not equivalent and that the framing effect induces customers to change which prices they anchor to as their reference points for the price for their current version. We then use the experimental findings to extend a reference‐dependence version of the classical model of trade‐ins and upgrades and show how the behavioral extension modifies key predictions of the classical model and provides predictions more in line with today's durable goods markets.

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“…Bottani et al [25] developed a simulation model to reproduce the reorder process of RTIs in a CLSC and to optimize the cost of the asset management process. With the purpose of enhancing the return rate of used products in CLSCs, Dutta et al [39] developed a recovery framework that makes use of buy-back offer at retailer level. The proposed recovery framework was integrated with an optimization model for a multi-period problem under demand and capacity uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Minimization of the Environmental Emissions of Closed-Loop Supply Chains: A Case Study of Returnable Transport Assets Management

Bottani

Casella

2018

Sustainability

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This study investigates the issue of minimizing the environmental burden of a real closed-loop supply chain (CLSC), consisting of a pallet provider, a manufacturer and several retailers. A simulation model is developed under Microsoft Excel™ (Microsoft Corporation, Washington, US) to reproduce the flow of returnable transport items (RTIs) in the CLSC and to compute the corresponding environmental impact. Multi-objective optimization, including some relevant environmental key performance indicators (KPIs), is then carried out exploiting the commercial software ModeFRONTIER™ (ESTECO S.p.A., Trieste, Italy), to determine the settings that minimize emissions of the CLSC. In addition, economic and strategic metrics are taken into account in the optimization, to make the analysis more comprehensive. Three scenarios are considered (one "base" scenario and two scenarios examined in a sensitivity analysis) with different relative importance assigned to the metrics subject to optimization. Results show that the asset retrieving operations contribute to the environmental impact of the system to the greatest extent, mainly because of the quite relevant distance between Company A and its customers. Conversely, emissions due to the purchase of new assets contribute to the total environmental impact of the system to a very limited extent. Because the analysis is grounded on a real CLSC, the results are expected to provide practical indications to logistics and supply chain managers, to minimize the environmental performance of the system.

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Design and planning of a closed-loop supply chain with three way recovery and buy-back offer

Cited by 76 publications

References 63 publications

How the reverse supply chain impacts the firm’s financial performance

How the reverse supply chain impacts the firm’s financial performance

On the Non‐Equivalence of Trade‐ins and Upgrades in the Presence of Framing Effect: Experimental Evidence and Implications for Theory

Minimization of the Environmental Emissions of Closed-Loop Supply Chains: A Case Study of Returnable Transport Assets Management

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