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Pré-Publication, Document De Travail Année : 2022

Optimization of Human-Aware Manufacturing and Logistics Systems: A Survey on the Modeling Frameworks of Human Aspects

Résumé

Historically, Operations Research (OR) discipline has mainly been focusing on economic concerns. Since the early 2000s, human considerations are gaining increasing attention, pushed by the growing societal concerns of sustainable development on the same terms as the economic and ecological ones. This paper is the second part of a work that aims at reviewing the efforts dedicated by the OR community to the integration of human aspects into manufacturing and logistics systems. A focus is put on the modeling frameworks proposed to represent human characteristics, their practical relevance, and the complexity induced by their integration with mathematical optimization models. In this paper, the techniques used in the OR literature to represent the human considerations encountered in manufacturing and logistics systems are surveyed. The existing Human-Aware Modeling Frameworks (HAMF) are classified and reviewed by domain in the form of a toolbox. Particular attention is paid to the field validity of each method, its relevance to specific use cases, the required data collection, and its usability within mathematical optimization models. Since the surveyed HAMFs rely on concepts originating from different related scientific disciplines (e.g., ergonomics, occupational medicine), a brief introduction of these fields of study is proposed together with a work of contextualization that is carried out during the analysis.
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Dates et versions

hal-03788111 , version 1 (26-09-2022)

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  • HAL Id : hal-03788111 , version 1

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Thibault Prunet, Nabil Absi, Valeria Borodin, Diego Cattaruzza. Optimization of Human-Aware Manufacturing and Logistics Systems: A Survey on the Modeling Frameworks of Human Aspects. 2022. ⟨hal-03788111⟩
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