Fuzzy Inference Model for Decision Support in Sustainable Production Planning Processes—A Case Study

Maximilian Zarte, Agnes Pechmann and Isabel L. Nunes
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Maximilian Zarte: Faculdade de Ciencias e Tecnologia, Campus Caparica, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal
Agnes Pechmann: Department of Mechanical Engineering, University of Applied Sciences Emden/Leer, 26723 Emden, Germany
Isabel L. Nunes: Mecânica e Industrial (UNIDEMI), Campus de Caparica, Unidade de Investigação em Engenharia, 2829-516 Caparica, Portugal

Sustainability, 2021, vol. 13, issue 3, 1-29

Abstract: Due to crises (e.g., climate crisis, extinction of species, shortage of natural resources, human health crisis), customer requirements for conventionally produced products shift to more sustainably produced products, reducing and avoiding negative environmental and social impacts. Circular thinking in production systems offers new opportunities to meet these new customer expectations. However, it enlarges new challenges for production planning too. Research gaps exist in production planning approaches, considering all three sustainability aspects (economic, environmental, and social) simultaneously. This paper presents a concept of a fuzzy inference model (FIM) to assess the sustainability of production programs. The FIM concept is demonstrated and tested using a single case study considering lab production schedules. The model’s outcome indicates the most significant opportunities to improve production programs’ sustainability using experts’ knowledge.

Keywords: sustainable production planning; circular economy; fuzzy inference model; sustainable development (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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