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Production Planning & Control
The Management of Operations
Volume 31, 2020 - Issue 9
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Articles

Supply chain multi-state risk assessment using universal generating function

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Pages 699-708 | Received 29 Nov 2018, Accepted 10 Oct 2019, Published online: 25 Nov 2019

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Ilias Vlachos & George Malindretos. (2023) Supply chain redesign in the aquaculture supply chain: a longitudinal case study. Production Planning & Control 34:8, pages 748-764.
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Ualison Rébula De Oliveira, Gabriela Costa Dias & Vicente Aprigliano Fernandes. (2023) Evaluation of a conceptual model of supply chain risk management to import/export process of an automotive industry: an action research approach. Operations Management Research.
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Nishat Alam Choudhary, Shalabh Singh, Tobias Schoenherr & M. Ramkumar. (2022) Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications. Annals of Operations Research 322:2, pages 565-607.
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Taotao Zhou, Xiaoge Zhang, Enrique Lopez Droguett & Ali Mosleh. (2023) A generic physics-informed neural network-based framework for reliability assessment of multi-state systems. Reliability Engineering & System Safety 229, pages 108835.
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Ualison Rébula de Oliveira, Camila Oliveira dos Santos, Gabriel Elias Lunz Chaves & Vicente Aprigliano Fernandes. (2022) Analysis of the MORT method applicability for risk management in supply chains. Operations Management Research 15:3-4, pages 1361-1382.
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Sadiya, Mangey Ram & Akshay Kumar. (2022) Predicting the Reliability of Solar Water Geyser by using Universal Generating Function. Predicting the Reliability of Solar Water Geyser by using Universal Generating Function.
Saeed Najafi-Tavani, Hossein Sharifi, Peter Naudé & Elmira Parvizi-Omran. (2022) The impact of alternative financial supply chain management practices on supply risk: A relationship quality and buyer relative power perspective. Industrial Marketing Management 100, pages 112-126.
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Abdelrahman Ibrahim Mostafa, Abdelrahman Mostafa Rashed, Yasmin Ashraf Alsherif, Yomna Nagah Enien, Menatalla Kaoud & Ahmed Mohib. (2021) Supply Chain Risk Assessment Using Fuzzy Logic. Supply Chain Risk Assessment Using Fuzzy Logic.

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