{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T01:03:05Z","timestamp":1775610185644,"version":"3.50.1"},"reference-count":59,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2020,4,3]],"date-time":"2020-04-03T00:00:00Z","timestamp":1585872000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>The implementation of symbiosis approaches is recognized as an effective industrial strategy towards the optimization of resource exploitation and the improvement of collaboration in the context of Industry 4.0. An industrial system can be considered as a complex environment in which material, energy, machine, and human resources should cooperate towards the improvement of efficiency and the creation of value. According to this vision, the paper presents a detailed literature review about the existing symbiosis approaches: (i) industrial symbiosis models, which mainly aim at the sharing of resources among different companies, and (ii) human symbiosis, which focuses on how to effectively strengthen the synergy among humans and machines. Strengths, weaknesses and correlations among the most common symbiosis approaches are analysed and classified. Finally, the existing symbiosis models are related with the pillars of the Industry 4.0 paradigm, in order to understand what should be the future directions of research in the context of collaborative manufacturing.<\/jats:p>","DOI":"10.1093\/jcde\/qwaa022","type":"journal-article","created":{"date-parts":[[2020,3,8]],"date-time":"2020-03-08T20:19:59Z","timestamp":1583698799000},"page":"269-278","source":"Crossref","is-referenced-by-count":22,"title":["A critical review of symbiosis approaches in the context of Industry 4.0\u2606"],"prefix":"10.1093","volume":"7","author":[{"given":"Martina","family":"Scaf\u00e0","sequence":"first","affiliation":[{"name":"Universit\u00e0 Politecnica delle Marche, Department of Industrial Engineering and Mathematical Sciences, via Brecce Bianche, 60131 Ancona, Italy"}]},{"given":"Marco","family":"Marconi","sequence":"first","affiliation":[{"name":"Universit\u00e0 degli Studi della Tuscia, Department of Economics, Engineering, Society and Business 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