A multi-layer Bayesian network method for supply chain disruption modelling in the wake of the COVID-19 pandemic

International Journal of Production Research, Journal Year: 2021, Volume and Issue: 60(17), P. 5258 - 5276

Published: Aug. 27, 2021

While the majority of companies anticipated negative and severe impacts COVID-19 pandemic on supply chains (SC), most them lacked guidance how to model disruptions their performance under conditions. Lack such resulted in delayed reactions, incomplete understanding impacts, late deployment recovery actions. In this study, we offer a method modelling quantifying SC disruption wake pandemic. We develop multi-layer Bayesian network (BN) that can be used identify triggers risk events amid quantify consequences disruptions. The unique features BN, as forward backward propagation analysis, are utilised simulate measure impact different financial business continuity. way, combine resilience viability perspectives explicitly account for settings. outcomes research open novel theoretical lens application BNs setting. Our results decision-support tool predict better understand performance.

Language: Английский

---

Application of Internet of Things (IoT) in Sustainable Supply Chain Management

Sustainability, Journal Year: 2022, Volume and Issue: 15(1), P. 694 - 694

Published: Dec. 30, 2022

The traditional supply chain system included smart objects to enhance intelligence, automation capabilities, and intelligent decision-making. Internet of Things (IoT) technologies are providing unprecedented opportunities efficiency reduce the cost existing chain. This article aims study prevailing explore benefits obtained after embedded networks IoT implanted. Short-range communication technologies, radio frequency identification (RFID), middleware, cloud computing extensively comprehended conceptualize management system. Moreover, manufacturers achieving maximum in terms safety, cost, inventory, also offers concepts carriage, loading/unloading, transportation, warehousing, packaging for secure distribution products. Furthermore, tracking customers convince them make more purchases modification shops with assistance thoroughly idealized.

Language: Английский

---

Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability

International Journal of Production Economics, Journal Year: 2023, Volume and Issue: 263, P. 108938 - 108938

Published: June 7, 2023

Language: Английский

---

Analysis of the COVID-19 pandemic’s impacts on manufacturing: a systematic literature review and future research agenda

Operations Management Research, Journal Year: 2022, Volume and Issue: 15(1-2), P. 551 - 566

Published: April 27, 2022

Language: Английский

---

The shortage economy and its implications for supply chain and operations management

International Journal of Production Research, Journal Year: 2022, Volume and Issue: 60(24), P. 7141 - 7154

Published: Sept. 12, 2022

Supply chain (SC) and operations management has been developed for decades under the fundamental assumption of continuous availability (with some temporary fluctuations disruptions) resources to satisfy demand. Under extreme shocks long-lasting disruptions, SCs face long-term shortages components, energy, capital, labour, as well rapidly rising prices. These resource risks hyper-inflation pose novel unexpected challenges potentially leading global ripple effects. In this conceptual paper, we first analyse categorise available literature on SC with shortages. We then systemise managerial implications inflation, conceptualising potential research directions which appeared or may appear in settings shortage economy. conclude that economy provides a distinct specific context goes beyond conventional problems constrained disrupted – i.e. simultaneous disruptions material, capital availability. This paper could be useful researchers practitioners alike impacts operations, navigate adaptation recovery processes structured way help society cope deep uncertainties.

Language: Английский

---

Investigating the relationship between digital technologies, supply chain integration and firm resilience in the context of COVID-19

Annals of Operations Research, Journal Year: 2022, Volume and Issue: 327(2), P. 825 - 853

Published: May 24, 2022

Language: Английский

---

Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research

Annals of Operations Research, Journal Year: 2023, Volume and Issue: unknown

Published: July 11, 2023

Abstract Data science and big data analytics (DS &BDA) methodologies tools are used extensively in supply chains logistics (SC &L). However, the existing insights scattered over different literature sources there is a lack of structured unbiased review methodology to systematise DS &BDA application areas SC &L comprehensively covering efficiency, resilience sustainability paradigms. In this study, we first propose an unique systematic for field &L. Second, use proposed on techniques fields aiming at classifying models/techniques employed, structuring their practical areas, identifying research gaps potential future directions. We analyse 364 publications which variety &BDA-driven modelling methods processes across decision-making levels. Our analysis triangulated resilience, perspectives. The developed novel classifications categorisations can be by researchers practitioners alike applications

Language: Английский

---

The Impact of Industry 4.0 Technologies on Key Performance Indicators for a Resilient Supply Chain 4.0

Sustainability, Journal Year: 2023, Volume and Issue: 15(6), P. 5185 - 5185

Published: March 15, 2023

The term “Resilient Supply Chain 4.0” incorporates two research areas: Industry 4.0 and Resilience (SCRes). technologies include innovations such as the Internet of Things (IoT), Cyber-Physical Systems (CPS), Augmented Reality (AR), Cloud Computing (CC), Services (IoS), Big Data Analytics (BDA), Artificial Intelligence (AI), Digital Twins (DT), Blockchain (BC), Industrial Robotics (IR), Additive Manufacturing (AM). do not have a direct impact on SCRes, but resilience elements flexibility, redundancy, visibility, agility, collaboration, robustness, information sharing. This paper aims to investigate which can help improve Key Performance Indicators (KPIs) that are used for creating Resilient 4.0. A non-systematic literature review has been conducted identification (a) most important constituent (b) SCRes elements, (c) KPIs enhance SCRes. systematic identify an findings this work demonstrate

Language: Английский

---

Digital twin-driven smart supply chain

Frontiers of Engineering Management, Journal Year: 2022, Volume and Issue: 9(1), P. 56 - 70

Published: Jan. 27, 2022

Abstract Today’s supply chain is becoming complex and fragile. Hence, managers need to create unlock the value of smart chain. A requires connectivity, visibility, agility, it needs be integrated intelligent. The digital twin (DT) concept satisfies these requirements. Therefore, we propose creating a DT-driven (DTSC) as an innovative solution for We provide background information explain DT demonstrate method building DTSC by using concept. discuss three research opportunities in DTSC, including modeling, real-time optimization, data usage collaboration. Finally, highlight motivating case from JD.COM, China’s largest retailer revenue, applying platform address network reconfiguration challenges during COVID-19 pandemic.

Language: Английский

---

Modeling the artificial intelligence-based imperatives of industry 5.0 towards resilient supply chains: A post-COVID-19 pandemic perspective

Computers & Industrial Engineering, Journal Year: 2023, Volume and Issue: 177, P. 109055 - 109055

Published: Jan. 31, 2023

Language: Английский

---