Results 11 to 20 of about 81,650 (254)

Supply chain risk management [PDF]

open access: yesInternational Journal of Production Economics, 2012
Recognizing various natural and man-made disasters have caused major supply chain disruptions over the last two decades, this chapter illustrates the vulnerability of many global supply chains and provides justifications for companies to develop a systemic approach to managing supply chain risks.
Ou Tang   +2 more
europepmc   +3 more sources

Research on Risk Management of Green Supply Chain of Prefabricated Buildings Based on QCA [PDF]

open access: yesE3S Web of Conferences, 2021
In the context of sustainable development, green supply chain, as a whole-process environmental management model, provides a good implementation path for the development and utilization of prefabricated buildings.
Yang Hongxiong, Ren Wanru
doaj   +1 more source

Managers' risk perception of supply chain uncertainties

open access: yesIndustrial Management & Data Systems, 2020
PurposeThis paper provides a practical framework for managers to develop a sustainable supply chain. Given that rapid globalization has increased supply disruption risk, managers have been forced to establish efficient and responsive supply chain strategies.
Sato, Yuji, Tse, Ying Kei, Tan, Kim Hua
openaire   +1 more source

Integrated supply chain risk management

open access: yesJournal of Transport and Supply Chain Management, 2007
Integrated supply chain risk management (ISCRM) has become indispensable to the theory and practice of supply chain management. The economic and political realities of the modern world require not only a different approach to supply chain management, but
Riaan Bredell, Jackie Walters
doaj   +1 more source

Phases and tools for supply chain risk management: a systematic literature review [PDF]

open access: yesGestão & Produção, 2020
Supply chain risk management (SCRM) has been widely discussed in the academic literature and several models have been proposed in recent years, but there is a need for a model encompassing phases and tools for SCRM.
Priscila Gomes Pereira Gaspar   +3 more
doaj   +1 more source

Supply Chain Risk Assessment and Control of Port Enterprises: Qingdao port as case study

open access: yesAsian Journal of Shipping and Logistics, 2018
China's reform has led to rapid port enterprise development and improved major coastal port throughput capacity and loading efficiency. Modern port enterprises are important nodes in global supply chain integration and have begun to function as ...
Bao Jiang, Jian Li, Siyi Shen
doaj   +1 more source

IS YOUR SUPPLY CHAIN READY FOR THE NEXT DISRUPTION? BUILDING RESILIENT CHAINS [PDF]

open access: yesRAE: Revista de Administração de Empresas, 2022
The ability to recover from disruptions is important for organizations and supply chains. Empirical data were used to investigate factors that affect supply chain recovery from disruptions, including collaboration, visibility, flexibility, analytical ...
Murilo Zamboni Alvarenga   +4 more
doaj   +1 more source

SUPPLY CHAIN RISKS [PDF]

open access: yesEconomica, 2019
The complexity of the business environment due to globalization can be characterized by liberalization and internationalization of human, material and financial resources flows, leading to rapid innovation, diversified products and markets, new ...
Natalia GALANTON
doaj  

Logistics innovation capability and its impacts on the supply chain risks in the Industry 4.0 era [PDF]

open access: yesModern Supply Chain Research and Applications, 2020
Purpose – The purpose of the paper is to present an empirical study on the logistics innovation capability and its impacts on the supply chain risk in the Australian courier firms.
Michael Wang   +3 more
doaj   +1 more source

Machine Learning-Driven Predictive Analytics for Real-Time Supply Chain Risk Management

open access: yesProceedings of the International Conference on Applied Innovations in IT
A resilient and efficient supply chain requires real-time risk management in an increasingly volatile global marketplace. This study examines a supply chain risk management system based on machine learning-driven prediction analytics.
Nagham Ja’far Hussein   +1 more
doaj   +1 more source

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