On the dynamics of closed-loop supply chains under remanufacturing lead time variability

Abstract

This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Highlights  A closed-loop supply chain with remanufacturing lead time variability is analysed  Through simulation, the dynamic performance is assessed under a variety of scenarios  Different levels of information transparency are considered  The variability of remanufacturing lead times seriously damage the dynamic behaviour  Managerial implications are discussed

Measuring and eliminating the bullwhip in closed loop supply chains using control theory and Internet of Things

“…Their study showed that CLSCs tend to alleviate the bullwhip effect in comparison to forward supply chains. Likewise they found that the greater the return product rate the lesser the bullwhip effect, a finding also supported by Zhao et al (2018) and Dominguez et al (2019). Some scholars argue that remanufacturing can improve the reuse ratio and alleviate the bullwhip of closed-loop systems (Da et al 2008;Corum et al 2014).…”

Insights on Multi-Agent Systems Applications for Supply Chain Management

“…All these features are well suited for MAS modelling, allowing for analyzing the complexities of this new paradigm and studying the impact of the reverse flow of used products (and its associated processes to restore value) on the classic forward flow of new products. This is still an emerging area of research, and there are only a few studies using MAS [38,[94][95][96][97][98].…”

“…Simulation has rapidly become an important methodological approach to theory development in the literature focused on strategy, organizations, and SCN management. It allows modelers to capture the dynamics of complex systems due to its capability of handling their dynamics and stochastic behavior, and enables managers to analyze and evaluate the effects of alternative configurations of the system, see, e.g., [36][37][38][39][40][41][42][43][44][45]. In particular, there has been a great interest in modeling SCNs as MAS in the past years [21,23], because there is a natural correspondence between the different actors in a SCN and agents in a MAS simulation model.…”

“…Dominguez and Framinan proposed a two-layer framework based on the SCOR model, where an enterprise agent is made up of a set of functional agents depending on its role in the SCN [59]. They implemented this framework using Swarm, and developed a SCN simulator named SCOPE, which allows for modeling and simulating the dynamics of complex SCN structures (see, e.g., [38,60,61]). Recently, a novel multimethod approach was proposed (i.e., MAS combined with other methodologies) for analyzing behavioral aspects of SCNs [37].…”

Building Resilience in Closed-Loop Supply Chains through Information-Sharing Mechanisms

“…These emerging models entail important environmental and economic opportunities, but also pose new challenges. Specifically, they raise additional layers of uncertainties, including those related to the variable nature of the quality and quantity of returns [18][19][20][21].…”