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Fuzzy inference model for decision support in sustainable production planning processes—a case study
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Orientador(es)
Resumo(s)
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, environ-mental, 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.
Descrição
Palavras-chave
Circular economy Fuzzy inference model Sustainable development Sustainable production planning Geography, Planning and Development Renewable Energy, Sustainability and the Environment Management, Monitoring, Policy and Law SDG 3 - Good Health and Well-being SDG 7 - Affordable and Clean Energy SDG 8 - Decent Work and Economic Growth SDG 12 - Responsible Consumption and Production SDG 13 - Climate Action SDG 15 - Life on Land