Simulation of multi-echelon supply chain inventory transshipment models at different levels

Yan, Bo; Liu, Lifeng

doi:10.1177/0037549717698034

Cited by 8 publications

(4 citation statements)

References 27 publications

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“…Alamerew and Brissaud ( 2020 ) used an SDS model to optimise a manufacturing supply chain considering dynamics of cost, revenue, as well as strategic decisions and regulatory decisions for a reverse supply chain. Yan and Liu ( 2017 ) utilised SDS for investigating the impact of single, double, triple, and four chain inventory transhipment models on average stock level, supply chain stability, average customer requirement, and average customer satisfaction of manufacturing supply chains. Langroodi and Amiri ( 2016 ) developed an SDS model for choosing the appropriate region for order placement within a manufacturing supply chain in order to minimise the cost of order placement and product shipment within the supply chain.…”

Section: Results Of the Systematic Literature Reviewmentioning

confidence: 99%

Advancements in Sustainable Manufacturing Supply Chain Modelling: a Review

Wofuru-Nyenke

Briggs

Aikhuele

2022

Process Integr Optim Sustain

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Managers at various echelons of supply chains are continuously faced with problems of examining and improving supply chain processes with the aim of improving productivity and customer service level, while reducing emissions and total costs simultaneously. This study is aimed at presenting the trends in sustainable manufacturing supply chain modelling in order to establish the modelling approaches which have predominantly been used for improving manufacturing supply chains from years 2010 to 2020. The study employs the systematic literature review methodology for reviewing articles published within the 11-year period. We proffer a classification approach for manufacturing supply chain models, grouping these models into mathematical models, simulation models, hybrid models, and their subcategories. The results showed that though there is a rising trend in the use of simulation and hybrid models, mathematical models have been used more for sustainable manufacturing supply chain modelling. The rise in the use of simulation and hybrid models can be explained by the fact that these models tend to handle uncertain and stochastic data better than mathematical models, which perform better with deterministic data. This research will aid other researchers in recognising the current gaps in manufacturing supply chain modelling in order to identify future research directions.

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Section: Results Of the Systematic Literature Reviewmentioning

confidence: 99%

Advancements in Sustainable Manufacturing Supply Chain Modelling: a Review

Wofuru-Nyenke

Briggs

Aikhuele

2022

Process Integr Optim Sustain

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“…Firouz, Keskin, & Melouk [19] considered a problem considering multi-sourcing, supplier selection, and inventory problem with lateral transshipments by a decomposition-based heuristic algorithm, along with a simulation model to minimize total cost. Yan and Liu [20] conducted simulations of multi-echelon supply chains to analyze by comparing them with respect to the average stock level, customer satisfaction rate, and transshipment cost. Although there are studies comparing PI and traditional supply chains, far too little attention has been paid to analyze sustainability.…”

Section: Literature Reviewmentioning

confidence: 99%

A Sustainability Comparison of Traditional Supply Chains and Physical Internet Supply Chains Using Simulation

Gözaçan

Kabadurmuş

2019

Celal Bayar Üniversitesi Fen Bilimleri Dergisi

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Sustainability is one of the most important topics that should be considered by every sector because it helps to reduce the harmful environmental effects of operations. Supply chain operations have significant impacts on environmental, social and economic issues, and therefore, sustainable supply chains have become an important issue for the companies. Also, Physical Internet (PI) is one of the recent research topics in supply chain literature and it helps to provide sustainability. The contribution of this study to the literature is the comparison of traditional supply chain and PI structures with simulation in terms of sustainability. The simulation models are tested on realistic but hypothetical case studies. Each simulation model consists of three echelons (supplier, distribution center and retailer) and is developed by using ARENA 14.0 software. The PI and the traditional are compared according to carbon emissions, and the results are discussed in detail. The results show that the emission level of PI is significantly lower than the emission level of traditional supply chain structures. Also, larger vehicle capacity reduces the total carbon emissions in both traditional supply chains and PI due to the reduced number of trips.

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“…Studies on operations research and supply chain, the impact of which is measured through a CLV measure, such as customer satisfaction, loyalty or switching behavior, are hard to find. Several studies claim to measure customer satisfaction, but they do perform that measurement indirectly through service levels or queue performance, such as in [6][7][8]. Recently, some studies have included basic CLV measures in operations decisions, stressing the need for a more comprehensive vision of metrics between operations and customer satisfaction [9].…”

Section: Customer Lifetime Value In Supply Chain and Simulationmentioning

confidence: 99%

Modeling and simulation of customer dissatisfaction, worker unpunctuality and tolerance to delay in make-to-order supply chains measured through customer lifetime value performance

Alvarado

Silva-Barrera

2018

IyU

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Introduction: We developed a model for a make-to-order supply chain to evaluate the effects of worker unpunctuality, tolerance to delay and word-of-mouth according to customer waiting time (dis)satisfaction in four customer lifetime value measures (CLTV): switching customers, the number of sales per customer, the average customer loyalty and the potential market reached. Methods: We developed a hybrid (agent-based and discrete-event) simulation in a 33 * 4 experimental design. Results: All of the variables were significant in the four CLTV measures, except for tolerance to delay. The positive word-of-mouth effect was greater than the negative word-of-mouth effect. There were significant interactions between positive and negative word-of-mouth. Conclusions: This type of model becomes a decision support tool for businesses to evaluate their mid-to-long term performance taking into account their customers’ long-term behaviors and the relationships between potential customers in repetitive and competitive environments.

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Simulation of multi-echelon supply chain inventory transshipment models at different levels

Cited by 8 publications

References 27 publications

Advancements in Sustainable Manufacturing Supply Chain Modelling: a Review

Advancements in Sustainable Manufacturing Supply Chain Modelling: a Review

A Sustainability Comparison of Traditional Supply Chains and Physical Internet Supply Chains Using Simulation

Modeling and simulation of customer dissatisfaction, worker unpunctuality and tolerance to delay in make-to-order supply chains measured through customer lifetime value performance

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