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Mutual Resiliency and Lean Analysis for Supply Chain Management in a COVID-19 Ventilator Production Case Study
6th International Conference on System-Integrated Intelligence, SysInt 2022 ; 546 LNNS:299-309, 2023.
Article in English | Scopus | ID: covidwho-2048152
ABSTRACT
Lean management and resilience are studied as significant paradigms in the supply chain in unaggregated domain. As studied in the literature, the resiliency can contribute to the flexibility of supply chains for fulfilling the fluctuations by enabling redundancy. However, the level of redundancy can be an interesting topic from lean management perspective to be managed. This paper has focused on the context of aggregation of Lean and resiliency management these and has proposed a trade-off matrix method. The integration and aggregation of lean and resilient supply chain (SC) practices are investigated with a special focus for creation of synergy. The paper also has investigated the impact of this integration on SC performance through a case study in context of the COVID-19 ventilator production. This case has been designed to highlight the tradeoff analysis among lean and resilience concepts. By applying an Analytic Hierarchy Process model, the paper has enabled a decision-making framework for determination of redundancy level. The data collection for including and documentation of information about various sections of the supply chain is conducted to determine the optimal solution by service level evaluation. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Case report Language: English Journal: 6th International Conference on System-Integrated Intelligence, SysInt 2022 Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Case report Language: English Journal: 6th International Conference on System-Integrated Intelligence, SysInt 2022 Year: 2023 Document Type: Article