{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T12:56:10Z","timestamp":1770296170930,"version":"3.49.0"},"reference-count":47,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2021,5,10]],"date-time":"2021-05-10T00:00:00Z","timestamp":1620604800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Statutory Body Established through an Act of Parliament: SERB Act 2008, Government of India","award":["ECR\/2016\/001808"],"award-info":[{"award-number":["ECR\/2016\/001808"]}]},{"name":"Funda\u00e7\u00e3o para a Ci\u00eancia e Tecnologia","award":["UIDB\/00319\/2020"],"award-info":[{"award-number":["UIDB\/00319\/2020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sustainability"],"abstract":"<jats:p>Complex systems consist of multiple machines that are designed with a certain extent of redundancy to control any unanticipated events. The productivity of complex systems is highly affected by unexpected simultaneous machine failures due to overrunning of machines, improper maintenance, and natural characteristics. We proposed realistic configurations with multiple machines having several flexibilities to handle the above issues. The objectives of the proposed model are to reduce simultaneous machine failures by slowing down the pace of degradation of machines, to improve the average occurrence of the first failure time of machines, and to decrease the loss of production. An approach has been developed using each machine\u2019s degradation information to predict the machine\u2019s residual life based on which the job adjustment strategy where machines with a lower health status will be given a high number of jobs to perform is proposed. This approach is validated by applying it in a fabric weaving industry as a real-world case study under different scenarios and the performance is compared with two other key benchmark strategies.<\/jats:p>","DOI":"10.3390\/su13095295","type":"journal-article","created":{"date-parts":[[2021,5,10]],"date-time":"2021-05-10T05:30:08Z","timestamp":1620624608000},"page":"5295","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Job Adjustment Strategy for Predictive Maintenance in Semi-Fully Flexible Systems Based on Machine Health Status"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6635-6462","authenticated-orcid":false,"given":"Thirupathi","family":"Samala","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, NIT Warangal, Warangal 506004, India"}]},{"given":"Vijaya Kumar","family":"Manupati","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, NIT Warangal, Warangal 506004, India"}]},{"given":"Bethalam Brahma Sai","family":"Nikhilesh","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, NIT Warangal, Warangal 506004, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2299-1859","authenticated-orcid":false,"given":"Maria Leonilde Rocha","family":"Varela","sequence":"additional","affiliation":[{"name":"Department of Production and Systems, School of Engineering, University of Minho, 4804-533 Guimar\u00e3es, Portugal"}]},{"given":"Goran","family":"Putnik","sequence":"additional","affiliation":[{"name":"Department of Production and Systems, School of Engineering, University of Minho, 4804-533 Guimar\u00e3es, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2021,5,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1016\/j.comnet.2015.12.017","article-title":"Towards smart factory for industry 4.0: A self-organized multi-agent system with big data based feedback and coordination","volume":"101","author":"Wang","year":"2016","journal-title":"Comput. 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