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Proceedings/Recueil Des Communications Année : 2023

Proposition and Evaluation of an Integrative Indicator Implementation for Logistics Management

Résumé

The growing operation complexity has led companies to adopt many indicators, making complex the evaluation of the overall performance of logistics systems. Among several studies about logistics management, this is the first one to determine an overall logistics performance indicator and evaluate its impact for logistics management. The proposed methodology encompasses four main phases: the first one defines the management scope and the indicator set, the second applies statistical tools reaching an initial model for indicators aggregation, the third one determines the global performance model, and the last phase implements the integrative indicator with its scale. The methodology is implemented in an outbound process from a Brazilian company with eight logistics KPI’s. Principal Component Analysis (PCA) is used to stablish the relationships among indicators and an optimization tool is applied to define the integrative indicator scale. The global performance (GP) provided by the integrative indicator has demonstrated that even if important indicators have not reached their goal, it is possible to attain a good global performance with improvements in other areas. Thus, the framework demonstrates to be a useful solution for logistics performance management.
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Dates et versions

hal-04362580 , version 1 (22-12-2023)

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Francielly Hedler Staudt, Maria Di Mascolo, Marina Cardoso Guimarães, Gülgün Alpan, Carlos Manuel Taboada Rodriguez, et al.. Proposition and Evaluation of an Integrative Indicator Implementation for Logistics Management. Innovative Intelligent Industrial Production and Logistics, IN4PL 2023., Springer Nature Switzerland, pp.149-164, 2023, Communications in Computer and Information Science, vol. 1886, 978-3-031-49338-6. ⟨10.1007/978-3-031-49339-3_9⟩. ⟨hal-04362580⟩
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