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.
Funding
University Grant Commission, New Delhi, India. Grant No.: F.184- 11/2017(IC) under UGC-UKIERI Joint Research Programme (UKIERI-III) on a research project on "Advance Analytics for Green and Resilient Supply Chain Decision Making"
This paper was accepted for publication in the journal Resources, Conservation and Recycling and the definitive published version is available at https://doi.org/10.1016/j.resconrec.2019.104583