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Modelling and analysing supply chain disruption: A case of online grocery retailer

Mogale, D. G. ORCID:, Wang, Xun ORCID:, Demir, Emrah ORCID: and Sanchez Rodrigues, Vasco ORCID: 2023. Modelling and analysing supply chain disruption: A case of online grocery retailer. Operations Management Research 16 (4) , pp. 1901-1924. 10.1007/s12063-023-00405-9

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Supply Chains (SCs) are becoming more vulnerable to disruption risks because of globalisation, competitiveness, and uncertainties. This study is motivated by an online grocery retail sector in the UK that experienced multiple disruption risks, such as demand and supply shocks, facility closures, and disruption propagation simultaneously. The main purpose of this study is to model and perform quantitative analyses of a range of SC disruption risks affecting the UK online retailer supply chain. The impacts of SC disruption risks on SC performance are analysed using six scenarios. The quantitative analysis of vulnerable priority delivery slots and rationing of products, used by grocery retailers during pandemic illustrates more SC impact of rationing of products than the priority delivery slots. The effects backup supplier and ramping up distribution centre capacity, are also quantified and discussed. Novel managerial insights and theoretical implications are discussed to make online grocery SC more resilient and robust.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Publisher: Springer
ISSN: 1936-9735
Date of First Compliant Deposit: 25 July 2023
Date of Acceptance: 21 July 2023
Last Modified: 15 Jan 2024 16:23

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