{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T18:42:32Z","timestamp":1775932952249,"version":"3.50.1"},"reference-count":56,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2021,1,28]],"date-time":"2021-01-28T00:00:00Z","timestamp":1611792000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sustainability"],"abstract":"<jats:p>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\u2019s outcome indicates the most significant opportunities to improve production programs\u2019 sustainability using experts\u2019 knowledge.<\/jats:p>","DOI":"10.3390\/su13031355","type":"journal-article","created":{"date-parts":[[2021,1,28]],"date-time":"2021-01-28T05:23:05Z","timestamp":1611811385000},"page":"1355","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Fuzzy Inference Model for Decision Support in Sustainable Production Planning Processes\u2014A Case Study"],"prefix":"10.3390","volume":"13","author":[{"given":"Maximilian","family":"Zarte","sequence":"first","affiliation":[{"name":"Faculdade de Ciencias e Tecnologia, Campus Caparica, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0524-3100","authenticated-orcid":false,"given":"Agnes","family":"Pechmann","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, University of Applied Sciences Emden\/Leer, 26723 Emden, Germany"}]},{"given":"Isabel L.","family":"Nunes","sequence":"additional","affiliation":[{"name":"Mec\u00e2nica e Industrial (UNIDEMI), Campus de Caparica, Unidade de Investiga\u00e7\u00e3o em Engenharia, 2829-516 Caparica, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2021,1,28]]},"reference":[{"key":"ref_1","unstructured":"Bundesministerium f\u00fcr Wirtschaft und Energie (2021, January 27). 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