Simulation Techniques Applied in Reverse Logistic: A Review

Abid, Salma; Radji, Soumia; Mhada, Fatima Zahra

doi:10.1109/logistiqua.2019.8907293

Cited by 7 publications

(7 citation statements)

References 60 publications

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“…In terms of quantitative research, this study uses discrete event simulation (DES) to model the company's reverse logistics process specifically at their Distribution Centre (DC) to assist the company in planning its operations by evaluating several scenarios of product returns. We chose to use DES to build the model as it is considered a suitable tool for modelling the behaviour of operational logistics supply chain systems, where operations are represented as a series of events (Abid et al, 2019). SIMUL8 is the software used.…”

Section: Methodsmentioning

confidence: 99%

Proceedings of SW21 The OR Society Simulation Workshop

2023

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Simulation, and now digital twins, excel in estimating parameters associated with complex and timedependent stochastic processes, e.g., large airport, highway, and warehouse operations. Within such contexts, we consider statistical inference, whereby one seeks to quantify the error in the obtained simulation estimate. Historically, statistical inference in simulation has been considered challenging because parameters needing estimation are often complicated, and simulation output often autocorrelated and non-normal. However, we argue that the remarkably simple idea of batching can be used as an "omnibus" inference device in simulation settings. Batching for inference works in three simple steps: (i) divide simulation output data into overlapping batches; (ii) construct parameter estimates from each batch; and (iii) use the batch estimates, after accounting for dependence, to perform statistical inference. As we describe in this paper, the resulting procedures are usually trivial to implement in software, and are provably correct and efficient. Batching ideas originated in the 1950s, and have enjoyed steady development in the simulation community since the 1970s mostly within the problem of variance estimation. Our thesis is that batching ideas have much wider utility, and that batching should be considered alongside other resampling ideas such as the bootstrap or the jackknife in modern statistics.

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Section: Methodsmentioning

confidence: 99%

Proceedings of SW21 The OR Society Simulation Workshop

2023

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“…There exist several works of literature that deal with reverse supply chain, but it is mentioned by Mathiyazhagan et al, ( 2020 ) that only a small proportion of them deals with reverse supply chain modeling through mathematical programming and simulation techniques. Moreover, Abid et al, ( 2021 ) added that the number of literatures that deals with reverse supply chain modeling using simulation proved to be limited. Furthermore, simulation studies in reverse supply chain simulation were largely focused on plastic waste, household equipment, and waste from electrical and electronic equipment for example Kara et al, ( 2007 ) and Jayant et al ( 2014 ).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…The studies that deal with modeling a sustainable reverse supply chain are typically focused on the location of disassembly, distribution, and collection centers since it has System dynamics approach Presents a model to represent complex RSC system to recover used products at their end-of-life stage using an electric vehicle battery case study Alamerew and Brissaud, (2020) dealt with plastic wastes, household equipment wastes, and waste from electrical and electronic equipment returns (Abid et al, 2021). Das and Dutta, (2012) developed a framework that has been studied for an integrated forward and reverse supply chain.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Environment and economic analysis of reverse supply chain scenarios for remanufacturing using discrete-event simulation approach

Ravichandran

Vimal

Kumar

et al. 2023

Environ Dev Sustain

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The study covers the concepts involved in reverse supply chain modeling using the case of a manufacturing company. The purpose of this study is to build a sustainable reverse supply chain model for resource conservation through remanufacturing of stator shafts by using a discrete-event simulation approach. The simulation studies in the reverse supply chain have taken up cases of either plastic or electronic waste remanufacturing, while very limited studies deal with simulation of sustainable reverse supply chains using a manufacturing industry case study from international customers. In this study, reverse supply chain using simulation study in manufacturing sector is carried out using Arena Rockwell simulation software. The simulation model is built using discrete-event simulation for returns from customers of two developed countries, i.e., Germany and the USA to Chennai, India. The study emphasizes full container load and less than container load modes of shipment scenarios and multiple return cases. The comparative analysis suggests that the value-added and non-value-added time of the reverse supply chain is slightly greater in the less container load scenario. The wait time per entity in remanufacturing processes similar for both shipment scenarios varies significantly based on return cases. The cost and carbon emission associated with transportation, in the reverse supply chain inclusive of social carbon cost, have also been estimated. Therefore, the study proposes a possible sustainable reverse supply chain framework that could be adopted by different manufacturing industries and yield opportunities for performance improvement.

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“…for complex e-waste realities the ability of creating structural models that can adequately describe distinct RL cases. Also, researchers and practitioners have turned to other domains which allow the expression and experimentation of dynamic aspects, such as SD (Abid et al, 2019). Nonetheless, using other domains to convey dynamic behavior patterns can present various adversities.…”

Section: Metamodelingmentioning

confidence: 99%

“…Yanikara and Kuhl (2015) revealed that several models have been published concerning RL issues and specifically e-waste issues, aiming to compare and/or to evaluate the performance of such complex RL networks. Also, Abid et al (2019) found that simulation is widely recognized as the most applied methodology for problem-solving in RL and numerous simulations techniques are available. Among these techniques, the most flexible and widely used to support decision-making and to study complex RL networks are SD and discrete event simulations.…”

Section: Initial Artifact Construction and Designmentioning

confidence: 99%

Metamodeling the e-waste domain to support decision-making

Herrera

Lara

Sánchez

et al. 2020

IJLM

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PurposeThis paper proposes a conceptualization of the e-waste domain, formalized through a metamodel, to express complex e-waste realities in a simple manner. This also enables the transition from a structural model to a behavioral model to implement analysis techniques.Design/methodology/approachThe methodology used is design science research (DSR), a problem-solving paradigm which seeks to construct a working artifact and prove its relevance. The artifact, a metamodel for the e-waste domain, was constructed through an iterative manner and later analyzed to conclude its theoretical relevance and contributions in this domain. As part of the approach, the authors used supplementary techniques such as systematic literature review (SLR), conceptual modeling (CM) and system dynamics (SD).FindingsThe application in the e-waste domain of CM techniques such as metamodeling, model-to-model transformation and simulation is valuable for supporting decision-making, especially when combined with SD. The approach presented in this paper, the conceptual tools and different simulation techniques could also be applied in other complex domains to obtain similar results.Practical implicationsThe modeling method to apply simulation techniques is targeted toward the e-waste domain experts to understand, design, implement, measure and improve strategies and public policies.Originality/valueThe use of CM techniques to model and analyze structural and behavioral e-waste scenarios.

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Simulation Techniques Applied in Reverse Logistic: A Review

Cited by 7 publications

References 60 publications

Proceedings of SW21 The OR Society Simulation Workshop

Proceedings of SW21 The OR Society Simulation Workshop

Environment and economic analysis of reverse supply chain scenarios for remanufacturing using discrete-event simulation approach

Metamodeling the e-waste domain to support decision-making

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