Assessment of emergency sourcing strategy of a supply chain through dynamic simulation approach

Thomas, Vempiliyath A.; Mahanty, Biswajit

doi:10.1080/21681015.2020.1729877

Cited by 17 publications

(6 citation statements)

References 41 publications

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“…In the literature, single, dual, multiple, contingent, outsourcing, and backup sourcing have been the subject of many studies (He et al, 2020;Ivanov, 2017;Li et al, 2017Li et al, , 2021Namdar et al, 2018;Niu et al, 2019;Thomas & Mahanty, 2020;Wang & Yu, 2020). Each strategy has strengths and weaknesses in terms of cost, lead time, and resilience (Aldrighetti et al, 2023).…”

Section: Sourcing Strategies Under Disruptionsmentioning

confidence: 99%

Design of resilient and viable sourcing strategies in intertwined circular supply networks

Echefaj,

Charkaoui,

Cherrafi

et al. 2024

Ann Oper Res

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This study examines the effects of intertwining and circularity on the design of resilient and viable sourcing and recovery strategies in supply chains. We first construct a case study where the supply chains of three industries (i.e., automotive, healthcare, and electronics) frame an intertwined supply network (ISN). Through a discrete-event simulation model developed in anyLogistix, we examine the impact of disruptions in supply and demand on the performance of individual supply chains and the ISN as a whole. We test the performance of several sourcing strategies and their combinations. A special focus is directed toward shared reverse flows. The results show that disruption impact and recovery processes in the Circular ISN do not always follow conventional patterns known from the resilience of individual supply chains due to intertwining and circularity effects. We offer some managerial recommendations for the design of resilient sourcing strategies in the ISN context that are triangulated around collaborative sourcing practices, coordinated production planning, shared reverse flows, and visibility in inventory management.

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Section: Sourcing Strategies Under Disruptionsmentioning

confidence: 99%

Design of resilient and viable sourcing strategies in intertwined circular supply networks

Echefaj,

Charkaoui,

Cherrafi

et al. 2024

Ann Oper Res

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“…Tao et al ( 2019 ) built an MCS model for investigating procurement and distribution decisions in a three-tier supply chain experiencing uncertainty in demand and supply. Thomas and Mahanty ( 2020 ) presented an MCS model for analysing emergency sourcing prevention strategies of two-echelon supply chains experiencing supply disruptions, evaluating the impacts of rare-but-long disruptions and frequent-but-short disruptions on long-term profit and backlog of manufacturing supply chains. Ozkan and Kilic ( 2019 ) utilised MCS for handling logistics network design problems by approximating the reliability of candidate supply chain networks.…”

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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“…Emergency events are usually the key factor leading to the risk of supply chain disruption. By accurately assessing and identifying risks when an emergency occurs and adopting correct and effective emergency management strategies, the firms are able to respond to the risk of supply chain disruption in time [23,24]. Trkman employed a method to analyze the environmental turbulence in supply chain risk management and research concepts regarding a new approach to the identification and prediction of supply risk.…”

Section: Related Workmentioning

confidence: 99%

Enabling Blockchain Based SCM Systems with a Real Time Event Monitoring Function for Preemptive Risk Management

Lee

Yang

Wei³

et al. 2021

Applied Sciences

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The risk of supply chain disruption is usually related to daily disturbances in supply chain operations (e.g., demand fluctuations) and some emergency risks, such as earthquakes and epidemic outbreaks. During a crisis, companies need agility to quickly find new suppliers and open auxiliary sales channels to meet customer needs and remain competitive. However, identifying “event” is one of the most difficult challenges of current decision support systems. If the system encounters an emergency, it is usually unable to promptly notify users of the warning to avoid risks. A sensible solution is to incorporate the real-time event-monitoring system into SCM (i.e., supply chain management) in order to share emergency information in the early stage for preemptive management in the supply chain. On the other hand, in order to process confidential supply chain data with other members, the SCM infrastructure requires secure data sharing. The blockchain-based SCM system can improve the transparency of traceability to ensure that the supply chain system provides high-quality products and protects data privacy and security. The view is taken; therefore, in this work, we combined a method of real-time event detection using collected Twitter data and blockchain technology for event monitoring to improve the visibility of the supply chain system and take preemptive measures for risk avoidance. The experiments show some interesting results and potentials for future work in the field of the agile supply chain.

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Assessment of emergency sourcing strategy of a supply chain through dynamic simulation approach

Cited by 17 publications

References 41 publications

Design of resilient and viable sourcing strategies in intertwined circular supply networks

Design of resilient and viable sourcing strategies in intertwined circular supply networks

Advancements in Sustainable Manufacturing Supply Chain Modelling: a Review

Enabling Blockchain Based SCM Systems with a Real Time Event Monitoring Function for Preemptive Risk Management

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