Diffusion of green products in industry 4.0: Reverse logistics issues during design of inventory and production planning system

Dev, Navin K.; Shankar, Ravi; Swami, Sanjeev

doi:10.1016/j.ijpe.2019.107519

Cited by 108 publications

(81 citation statements)

References 30 publications

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“…As mentioned in Section 1.2, operations of RL have always been an important concern to extend the life cycle of a product to maximize value creation. From the operations management perspective, some researches investigated reverse logistics from I&PP system perspective (Kumar and Rahman, 2014;Dev et al, 2017;Dev et al, 2019). Dev et al (2017) investigated a closed-loop hybrid system of remanufacturing for five different inventory review policies using discrete event simulation.…”

Section: Green Product Diffusion and Remanufacturingmentioning

confidence: 99%

Industry 4.0 and circular economy: Operational excellence for sustainable reverse supply chain performance

Dev

Shankar

Qaiser

2020

Resources, Conservation and Recycling

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334

179

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The present research proposes a roadmap to the excellence of operations for sustainable reverse supply chain/logistics by the joint implementation of principles of Industry 4.0 (I4.0) and ReSOLVE model of circular economy (CE) approaches. The connection between I4.0 and CE is unveiled by addressing the case-based model affecting the economic and environmental performances imparting two important dimensions: (i) the information sharing with the reverse logistics system is in real-time mode, and (ii) diffusion of green product in the market. The effectiveness of the virtual world in I4.0 environment is explored using simulation of reverse logistics model involving operations such as inventory and production planning policy, family-based dispatching rules of remanufacturing, and additive manufacturing. The remanufacturing model examines the trade-off between set-up delays and the availability of green transportation. For managerial insights, Taguchi experimental design framework has been used for the analysis. Based on the trade-off analysis between environmental and economic performances, the findings of the paper suggest appropriate combinations of information-sharing and family-based dispatching rules. Further, the findings suggest that, given the I4.0 and circular capabilities, it is necessary to focus on the cost of the socially influenced operations involving factors such as collection investment and size of the end-user market that governs the product returns. Therefore, in the present paper, the integration of I4.0 and CE represents a real-time decision model for the sustainable reverse logistics system.

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Section: Green Product Diffusion and Remanufacturingmentioning

confidence: 99%

Industry 4.0 and circular economy: Operational excellence for sustainable reverse supply chain performance

Dev

Shankar

Qaiser

2020

Resources, Conservation and Recycling

Self Cite

334

179

View full text Add to dashboard Cite

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“…Storage implies inventory management along RL channels. In this case transportation requirements may relate to warehousing and storage facility characteristics in addition to operational management concerns [17].…”

Section: Reverse Logistics Activities and Transportationmentioning

confidence: 99%

Digitalizing the Closing-of-the-Loop for Supply Chains: A Transportation and Blockchain Perspective

et al. 2021

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The circular economy is gaining in importance globally and locally. The COVID-19 crisis, as an exceptional event, showed the limits and the fragility of supply chains, with circular economy practices as a potential solution during and post-COVID. Reverse logistics (RL) is an important dimension of the circular economy which allows management of economic, social, and environmental challenges. Transportation is needed for RL to effectively operate, but research study on this topic has been relatively limited. New digitalization opportunities can enhance transportation and RL, and therefore further enhance the circular economy. This paper proposes to review practical research and concerns at the nexus of transportation, RL, and blockchain as a digitalizing technology. The potential benefits of blockchain technology through example use cases on various aspects of RL and transportation activities are presented. This integration and applications are evaluated using various capability facets of blockchain technology, particularly as an immutable and reliable ledger, a tracking service, a smart contract utility, as marketplace support, and as tokenization and incentivization. We also briefly introduce the physical internet concept within this context. The physical internet paradigm proposed last decade, promises to also disrupt the blockchain, transportation, and RL nexus. We include potential research directions and managerial implications across the blockchain, transportation, and RL nexus.

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“…Agrawal and Singh (2019) used partial least squares path modeling to measure the triple bottom line performance based on economic, environmental, and social factors of RL in the Indian electronics industry. Dev, Shankar, and Swami (2019) presented a bass diffusion model for RL to analyze economic and environmental performances.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Performance evaluation of reverse logistics in food supply chains in a circular economy using system dynamics

et al. 2020

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Supply chains are composed of multiple stakeholders who have complex interrelationships. In addition, the forward and reverse flow of materials, information, human resources, and finance occurs among different stakeholders in closing the loop of supply chains. Reverse logistics (RL) activities are gaining importance in terms of size and quantity due to both economic and environmental concerns. These flows in RL in supply chains are both dynamic and complex in nature. Further, the environmental impact of RL activities has barely been considered in holistic way in available literature. In this study, a system dynamics model has been developed to analyze and comprehend the green performance of RL activities by predicting the environmental impact of RL activities. The proposed model has been validated by a case study in the context of a food supply chain. In the company where the case study is carried out, the environmental effects of RL activities have been analyzed. These activities in a food supply chain in terms of CO2 (carbon dioxide), NOx (nitrogen oxide), SO2 (sulfur dioxide), and PM (particulate matter) emissions have been predicted through a system dynamics model for the years 2020 to 2024. The proposed methodology is applied in a food supply context, a major player in retail business, especially in emerging economies. According to our findings, the RL activities in a food supply chain can significantly contribute to green performance management by minimizing food waste and loss; hence, the environmental impacts of such activities should be closely examined from a managerial perspective.

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Diffusion of green products in industry 4.0: Reverse logistics issues during design of inventory and production planning system

Cited by 108 publications

References 30 publications

Industry 4.0 and circular economy: Operational excellence for sustainable reverse supply chain performance

Industry 4.0 and circular economy: Operational excellence for sustainable reverse supply chain performance

Digitalizing the Closing-of-the-Loop for Supply Chains: A Transportation and Blockchain Perspective

Performance evaluation of reverse logistics in food supply chains in a circular economy using system dynamics

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