Reverse logistics network design: a holistic life cycle approach

Daaboul, Joanna; Duigou, Julien Le; Penciuc, Diana; Eynard, Benoît

doi:10.1186/s13243-014-0007-y

Cited by 16 publications

(6 citation statements)

References 30 publications

(41 reference statements)

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“…Remanufacturing operations however, suffer from various challenges and uncertainties (Bag et al , 2019). Reverse logistics design is an important function in remanufacturing operations and involves defining the context; defining reverse logistics parameters such as defining the gate keeping activity, defining the collection activity, describing the revival and processing methods, identifying potential partners; proposing various reverse network options; assessment of the different reverse logistics scenarios; examination of the evaluation report and selection of the best reverse logistics set-up (Daaboul et al , 2014). There are decisions involved in every step, which can impact the remanufacturing performance.…”

Section: Hypothesis Developmentmentioning

confidence: 99%

Leveraging big data analytics capabilities in making reverse logistics decisions and improving remanufacturing performance

Bag

Luthra²,

Mangla

et al. 2021

IJLM

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PurposeThe study investigated the effect of big data analytics capabilities (BDACs) on reverse logistics (strategic and tactical) decisions and finally on remanufacturing performance.Design/methodology/approachThe primary data were collected using a structured questionnaire and an online survey sent to South African manufacturing companies. The data were analysed using partial least squares based structural equation modelling (PLS–SEM) based WarpPLS 6.0 software.FindingsThe results indicate that data generation capabilities (DGCs) have a strong association with strategic reverse logistics decisions (SRLDs). Data integration and management capabilities (DIMCs) show a positive relationship with tactical reverse logistics decisions (TRLDs). Advanced analytics capabilities (AACs), data visualisation capabilities (DVCs) and data-driven culture (DDC) show a positive association with both SRLDs and TRLDs. SRLDs and TRLDs were found to have a positive link with remanufacturing performance.Practical implicationsThe theoretical guided results can help managers to understand the value of big data analytics (BDA) in making better quality judgement of reverse logistics and enhance remanufacturing processes for achieving sustainability.Originality/valueThis research explored the relationship between BDA, reverse logistics decisions and remanufacturing performance. The study was practice oriented, and according to the authors’ knowledge, it is the first study to be conducted in the South African context.

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Section: Hypothesis Developmentmentioning

confidence: 99%

Leveraging big data analytics capabilities in making reverse logistics decisions and improving remanufacturing performance

Bag

Luthra²,

Mangla

et al. 2021

IJLM

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“…A major activity in RL is the sorting of products (Daaboul, Le Duigou, Penciuc, & Eynard, 2014; Lambert, Riopel, & Abdul‐Kader, 2011). As noted by Blackburn, Guide, Souza, and Van Wassenhove (2004), one key process in RL is the inspection and disposal of returned products.…”

Section: Introductionmentioning

confidence: 99%

Reverse logistics, organizational culture and firm operational performance: Some empirical evidence

Saruchera

Asante-Darko

2021

Bus Strat Dev

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As the supply chain environment is increasingly becoming uncertain and globally competitive, reverse logistics (RL) practices, which constitute a substantial component of Green Supply Chain Management (GSCM), have been widely recognized as crucial in achieving sustainable competitive advantage. While past studies have proven the positive relationship between properly implemented RL and firm's environmental efficiency and overall competitiveness, developing, maintaining, and integrating RL into the organization's supply chain operations come at a cost and institutional commitment. This study seeks to provide evidence on how RL and organizational culture (OC) provide benefits specifically to the operational performance (OP) of an organization. The study addresses this, first, by an empirical examination of the direct effects of RL practices on firm OP and, then, by further examining whether RL practices' influence on OP is strengthened by OC. The study uses dataset gathered from 213 firms across the service and manufacturing sectors in the Ghanaian economy using a structured questionnaire. The study adopts confirmatory factor analysis (CFA) in addition to partial least square structural equation modelling (PLS‐SEM) in analysing the study's measurement model and in estimating the resultant structural model. The study concludes that implementing RL practices positively influences the OP of the firm, while OC strengthens such influence. This study expands the RL literature by obtaining the results for the conceptual model and dealing with the implication from a developing economy's perspective, hence supplementing the growing body of knowledge.

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“…Supposing an OEM that can choose between three reverse hybrid collection channel structures, Hong et al [21] showed that with all things being equal, the OEM and the retailer hybrid collection channel is the most effective reverse channel structure for the OEM. Several other papers have studied problems that arise in the reverse logistics network design [21][22][23], operations planning [24][25][26], and the organization of channel operations [27][28][29].…”

Section: Literature Reviewmentioning

confidence: 99%

Owning or Outsourcing? Strategic Choice on Take-Back Operations for Third-Party Remanufacturing

Yan

Chai

et al. 2018

Sustainability

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Abstract:Despite the remanufacturing process having demonstrated economic, social, and environmental benefits, many original equipment manufacturers (OEMs) have not engaged in the remanufacturing process themselves, as they often outsource it to a third party. In practice, such outsourcing usually involves two different options/modes for OEMs with consideration of take-back operations: (1) owning the reverse channel and collecting cores directly (Model D) or (2) outsourcing these operations to a third-party remanufacturer (TPR) and collecting cores indirectly (Model I). However, this raises the important question of whether OEMs should also outsource their reverse channels to third-party remanufacturers when outsourcing remanufacturing. Furthermore, there needs to be an investigation of which method is more beneficial in terms of economic, social, and environmental outcomes. This paper uses modelling to investigate the costs and benefits of these options in terms of sustainability. We found that, compared to Model I, the OEM conducting take-back operations itself can achieve the overall better outcomes for all economic, social, and environmental situations.

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Reverse logistics network design: a holistic life cycle approach

Cited by 16 publications

References 30 publications

Leveraging big data analytics capabilities in making reverse logistics decisions and improving remanufacturing performance

Leveraging big data analytics capabilities in making reverse logistics decisions and improving remanufacturing performance

Reverse logistics, organizational culture and firm operational performance: Some empirical evidence

Owning or Outsourcing? Strategic Choice on Take-Back Operations for Third-Party Remanufacturing

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