This paper proposes a framework for the evaluation of the performance of a supply chain according to the lean, agile, resilient and green (LARG) perspectives. The study builds upon a previous publication by some of the authors, in which a preliminary review of the literature about the typical key performance indicators (KPIs) of the supply chain was presented; in this paper, such analysis is complemented by looking at those studies that have classified the KPIs among the LARG perspectives. Also, the KPIs are categorized by supply chain process, for a more focused evaluation. As a result, a model for performance evaluation across the LARG perspectives is presented. As example of a how to translate this model into a decision tool is also presented.
Evaluating Supply Chain Performance Through Lean, Agile, Resilient, and Green (LARG) Perspectives: A Comprehensive Framework / Bottani, E.; Monferdini, L.; Casella, G.; Mora, C.. - (2024). (Intervento presentato al convegno International Conference on Harbor, Maritime and Multimodal Logistic Modeling and Simulation, HMS 2024 tenutosi a Tenerife, Spain nel 18-20 September 2024) [10.46354/i3m.2024.hms.011].
Evaluating Supply Chain Performance Through Lean, Agile, Resilient, and Green (LARG) Perspectives: A Comprehensive Framework
Bottani E.;Monferdini L.;Casella G.;
2024-01-01
Abstract
This paper proposes a framework for the evaluation of the performance of a supply chain according to the lean, agile, resilient and green (LARG) perspectives. The study builds upon a previous publication by some of the authors, in which a preliminary review of the literature about the typical key performance indicators (KPIs) of the supply chain was presented; in this paper, such analysis is complemented by looking at those studies that have classified the KPIs among the LARG perspectives. Also, the KPIs are categorized by supply chain process, for a more focused evaluation. As a result, a model for performance evaluation across the LARG perspectives is presented. As example of a how to translate this model into a decision tool is also presented.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.