Abstract

Several studies have determined that product returns positively impact on the dynamics of hybrid manufacturing-remanufacturing systems, provided that they are perfectly correlated with demand. By considering imperfect correlation, we observe that intrinsic variations of returns may dramatically deteriorate the operational performance of these closed-loop supply chains. To cope with such added complexity, we propose a structure for controlling the reverse flow through the recoverable stock. The developed mechanism, in the form of a prefilter, is designed to leverage the known positive consequences of the deterministic component of the returns and to buffer the harmful impact of their stochastic component. We show that this outperforms both the benchmark push system and a baseline solution consisting of regulating all the returns. Consequently, we demonstrate that the operation of the production system is greatly smoothed and inventory is better managed. By developing a new framework for measuring the dynamics of closed-loop supply chains, we show that a significant reduction in the net stock, manufacturing, and remanufacturing variances can be achieved, which undoubtedly has implications both for stock reduction and production stabilization. Thus, the known benefits of circular economy models are strengthened, both economically and environmentally.

Highlights

  • The world economy is currently evolving from a linear model, which extracts resources and manufactures products that are disposed of after consumption, into a circular model, which keeps resources in use for as long as possible by collecting products at the end of their life cycle (Genovese, Acquaye, Figueroa, & Koh, 2017)

  • We first build on the model by Tang and Naim (2004) representing the dynamic behaviour of closed-loop supply chains, which in turn has been developed by extending the widely used automated pipeline, inventory and order based production control system (APIOBPCS) model designed by John et al (1994) for traditional supply chains

  • Remanufacturing is an area gaining increasing attention due to the environmental and business opportunities it entails. This motivates the need for understanding the dynamic behaviour of closedloop supply chains in the same way as that of traditional supply chains

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Summary

Introduction

The world economy is currently evolving from a linear model, which extracts resources and manufactures products that are disposed of after consumption, into a circular model, which keeps resources in use for as long as possible by collecting products at the end of their life cycle (Genovese, Acquaye, Figueroa, & Koh, 2017) This has motivated the development of a new supply chain paradigm, namely, the closed-loop supply chain. In contrast to traditional open-loop supply chains, which consider a one-way movement of materials, closed-loop systems include collection and material recovery processes, such as repairing, reusing, recycling, and remanufacturing (Guide, Harrison, & Van Wassenhove, 2003). In this sense, remanufacturing has become one of the cornerstones of this emerging circular model. We clarify that the recoverable inventory stores returned products from the customer

The dynamics of closed-loop supply chains
Motivation and contribution
Methodological approach and organisation of the paper
Supply chain model
Baseline model
Modelling imperfect correlation between demand and returns
Two control structures for the reverse flow
Block diagrams
Stability and static analysis
Dynamic analysis
Exploring the impact of stochastic returns on the closed-loop supply chain
Exploring the impact of demand on the closed-loop supply chain
Operational study
An integrative framework for assessing the dynamics of closed-loop systems
On how the prefilter mitigates the variability amplification
On how the demand-return correlation influences performance
Findings
Conclusions and implications
Full Text
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