{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T10:29:25Z","timestamp":1760956165608,"version":"build-2065373602"},"reference-count":40,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T00:00:00Z","timestamp":1657670400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e Tecnologia (FCT)","doi-asserted-by":"publisher","award":["UIDB\/00151\/2020"],"award-info":[{"award-number":["UIDB\/00151\/2020"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Processes"],"abstract":"<jats:p>In the wine industry, task planning is based on decision-making processes that are influenced by technical and organizational constraints as well as regulatory limitations. A characteristic constraint inherent to this sector concerns occupational risks, in which companies must reduce and mitigate work-related accidents, resulting in lower operating costs and a gain in human, financial, and material efficiency. This work proposes a task scheduling optimization model using a methodology based on the ant colony optimization approach to mitigate the ergonomic risks identified in general winery production processes by estimating the metabolic energy expenditure during the execution of tasks. The results show that the tasks were reorganized according to their degree of ergonomic risk, preserving an acceptable priority sequence of tasks with operational affinity and satisfactory efficiency from the point of view of the operationalization of processes, while the potential ergonomic risks are simultaneously minimized by the rotation and alternation of operative teams between those tasks with higher and lower values of metabolic energy required. We also verified that tasks with lower ergonomic-load requirements influence the reorganization of the task sequence by lowering the overall value of metabolic energy, which is reflected in the reduction of the ergonomic load.<\/jats:p>","DOI":"10.3390\/pr10071364","type":"journal-article","created":{"date-parts":[[2022,7,14]],"date-time":"2022-07-14T00:12:40Z","timestamp":1657757560000},"page":"1364","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Ergonomic Risk Minimization in the Portuguese Wine Industry: A Task Scheduling Optimization Method Based on the Ant Colony Optimization Algorithm"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7422-3763","authenticated-orcid":false,"given":"Ant\u00f3nio Agrela","family":"Freitas","sequence":"first","affiliation":[{"name":"Department of Electromechanical Engineering, University of Beira Interior, 6201-001 Covilh\u00e3, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7540-3854","authenticated-orcid":false,"given":"T\u00e2nia Miranda","family":"Lima","sequence":"additional","affiliation":[{"name":"Department of Electromechanical Engineering, University of Beira Interior, 6201-001 Covilh\u00e3, Portugal"},{"name":"C-MAST\u2014Centre for Mechanical and Aerospace Science and Technologies, 6201-001 Covilh\u00e3, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1691-1709","authenticated-orcid":false,"given":"Pedro Dinis","family":"Gaspar","sequence":"additional","affiliation":[{"name":"Department of Electromechanical Engineering, University of Beira Interior, 6201-001 Covilh\u00e3, Portugal"},{"name":"C-MAST\u2014Centre for Mechanical and Aerospace Science and Technologies, 6201-001 Covilh\u00e3, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2022,7,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Fast-Berglund, \u00c5., and Stahre, J. (2013, January 11\u201315). Task allocation in production systems\u2013Measuring and Analysing Levels of Automation. Proceedings of the 12th IFAC Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, Las Vegas, NV, USA.","DOI":"10.3182\/20130811-5-US-2037.00032"},{"key":"ref_2","first-page":"207","article-title":"Task allocation in manufacturing: A review","volume":"15","author":"Cheng","year":"2019","journal-title":"J. Ind. Inf. Integr."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2020","DOI":"10.1016\/j.ifacol.2019.11.502","article-title":"Task allocation based on shared resource constraint for multi-robot systems in manufacturing industry","volume":"52","author":"Zaidi","year":"2019","journal-title":"IFAC-PapersOnLine"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.cirpj.2019.08.004","article-title":"Optimizing ergonomics in assembly lines: A multi objective genetic algorithm","volume":"27","author":"Dini","year":"2019","journal-title":"CIRP J. Manuf. Sci. Technol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1016\/j.cie.2017.04.011","article-title":"Reducing physical ergonomic risks at assembly lines by line balancing and job rotation: A survey","volume":"111","author":"Otto","year":"2017","journal-title":"Comput. Ind. Eng."},{"key":"ref_6","first-page":"5","article-title":"Assessment of Physical Activity and Energy Expenditure: An Overview of Objective Measures","volume":"1","author":"Hills","year":"2014","journal-title":"Fron. Nutr."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1860","DOI":"10.1016\/j.ifacol.2019.11.473","article-title":"Assembly Line Balancing with Collaborative Robots under consideration of Ergonomics: A cost-oriented approach","volume":"52","author":"Weckenborg","year":"2019","journal-title":"IFAC-PapersOnLine"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"7452","DOI":"10.1080\/00207543.2017.1363427","article-title":"Preventing ergonomic risks with integrated planning on assembly line balancing and parts feeding","volume":"55","author":"Battini","year":"2017","journal-title":"Int. J. Prod. Res."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"162809","DOI":"10.1109\/ACCESS.2020.3018505","article-title":"A Hybrid GRASP Algorithm for an Integrated Production Planning and a Group Layout Design in a Dynamic Cellular Manufacturing System","volume":"8","author":"Khamlichi","year":"2020","journal-title":"IEEE Access"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Li, C. (2020, January 20\u201322). Optimization of Human Resources Allocation for Airport Security Check Business Based on Genetic Algorithm. Proceedings of the 2020 2nd International Conference on Economic Management and Model Engineering (ICEMME), Chongqing, China.","DOI":"10.1109\/ICEMME51517.2020.00201"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/j.fcij.2018.06.001","article-title":"Bio-inspired computing: Algorithms review, deep analysis, and the scope of applications","volume":"3","author":"Darwish","year":"2018","journal-title":"Future Comput. Inform. J."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Gupta, A., and Garg, R. (2017, January 6\u20137). Load Balancing Based Task Scheduling with ACO in Cloud Computing. Proceedings of the 2017 International Conference on Computer and Applications (ICCA), Doha, United Arab Emirates.","DOI":"10.1109\/COMAPP.2017.8079781"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/j.tcs.2005.05.020","article-title":"Ant colony optimization theory: A survey","volume":"344","author":"Dorigo","year":"2005","journal-title":"Theor. Comput. Sci."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"102671","DOI":"10.1016\/j.omega.2022.102671","article-title":"Staff scheduling for residential care under pandemic conditions: The case of COVID-19","volume":"112","author":"Moosavi","year":"2022","journal-title":"Omega"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Li, G., and Wu, Z. (2019). Ant Colony Optimization Task Scheduling Algorithm for SWIM Based on Load Balancing. Future Internet, 11.","DOI":"10.3390\/fi11040090"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"4854","DOI":"10.1080\/00207543.2015.1126371","article-title":"Open shop scheduling problem with a multi-skills resource constraint: A genetic algorithm and an ant colony optimisation approach","volume":"54","author":"Dugardin","year":"2016","journal-title":"Int. J. Prod. Res."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.artmed.2014.12.005","article-title":"A short-term operating room surgery scheduling problem integrating multiple nurses roster constraints","volume":"63","author":"Xiang","year":"2015","journal-title":"Artif. Intell. Med."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"524","DOI":"10.1080\/09511920600596821","article-title":"An ant colony optimization algorithm for scheduling virtual cellular manufacturing systems","volume":"20","author":"Mak","year":"2007","journal-title":"Int. J. Comput. Integr. Manuf."},{"key":"ref_19","unstructured":"Botti, L., Gamberi, M., Manzini, R., Mora, C., and Regattieri, A. (2014, January 11\u201313). A bi-objective optimization model for work activity scheduling of workers exposed to ergonomic risk. Proceedings of the XIX Summer School \u201cFrancesco Turco\u201d, Ancona, Italy."},{"key":"ref_20","unstructured":"Eurisko, S.A. (2011). Manual de Boas Pr\u00e1ticas-Ind\u00fastria da Alimenta\u00e7\u00e3o e das Bebidas. Gerir, Conhecer e Intervir, AEP."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1016\/j.jclepro.2018.06.008","article-title":"Delphi assessment of occupational hazards in the wineries of Andalusia, in southern Spain","volume":"196","year":"2018","journal-title":"J. Clean. Prod."},{"key":"ref_22","first-page":"386","article-title":"Occupational health risks of wine industry workers","volume":"48","author":"Youakim","year":"2006","journal-title":"Br. Columbia Med. J."},{"key":"ref_23","unstructured":"Checchi, A., and Casazza, S. (2012, January 3\u20136). Risk factors in the wine industry. Proceedings of the International Conference RAGUSA SHWA 2012, Ragusa, Italy."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1249\/00005768-199301000-00011","article-title":"Compendium of Physical Activities: Classification of energy costs of human physical activities","volume":"25","author":"Ainsworth","year":"1993","journal-title":"Med. Sci. Sports Exerc."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"S498","DOI":"10.1097\/00005768-200009001-00009","article-title":"Compendium of physical activities: An update of activity codes and MET intensities","volume":"32","author":"Ainsworth","year":"2000","journal-title":"Med. Sci. Sports Exerc."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1249\/MSS.0b013e31821ece12","article-title":"2011 Compendium of Physical Activities: A Second Update of Codes and MET Values","volume":"43","author":"Ainsworth","year":"2011","journal-title":"Med. Sci. Sports Exerc."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"106799","DOI":"10.1016\/j.cie.2020.106799","article-title":"Dynamic integrated process planning, scheduling and due-date assignment using ant colony optimization","volume":"149","author":"Demir","year":"2020","journal-title":"Comput. Ind. Eng."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Mirjalili, S. (2019). Evolutionary Algorithms and Neural Networks: Theory and Applications, Springer International Publishing. [1st ed.].","DOI":"10.1007\/978-3-319-93025-1_6"},{"key":"ref_29","first-page":"7","article-title":"Ant Colony Optimizer: Theory, Literature Review, and Application in AUV Path Planning","volume":"Volume 811","author":"Mirjalili","year":"2020","journal-title":"Nature-Inspired Optimizers: Theories, Literature Reviews and Applications"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Solnon, C. (2013). Ant Colony Optimization and Constraint Programming, John Wiley & Sons.","DOI":"10.1002\/9781118557563"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Chaudhari, B.S., and Zennaro, M. (2020). Energy optimization in low-power wide area networks by using heuristic techniques. LPWAN Technologies for IoT and M2M Applications, Academic Press.","DOI":"10.1016\/B978-0-12-818880-4.00001-6"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Ab Wahab, M.N., Nefti-Meziani, S., and Atyabi, A. (2015). A comprehensive review of swarm optimization algorithms. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0122827"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Alobaedy, M.M., and Ku-Mahamud, K.R. (2014, January 20\u201322). Scheduling jobs in computational grid using hybrid ACS and GA approach. Proceedings of the 2014 IEEE Computers, Communications and IT Applications Conference, Beijing, China.","DOI":"10.1109\/ComComAp.2014.7017200"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"106610","DOI":"10.1016\/j.cie.2020.106610","article-title":"Accelerating supply chains with Ant Colony Optimization across a range of hardware solutions","volume":"147","author":"Dzalbs","year":"2020","journal-title":"Comput. Ind. Eng."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"100993","DOI":"10.1016\/j.swevo.2021.100993","article-title":"Dynamic impact for ant colony optimization algorithm","volume":"69","author":"Skackauskas","year":"2021","journal-title":"Swarm Evol. Comput."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"107439","DOI":"10.1016\/j.asoc.2021.107439","article-title":"Ant colony optimization for traveling salesman problem based on parameters optimization","volume":"107","author":"Wang","year":"2021","journal-title":"Appl. Soft Comput."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Monteiro, M.S.R., Fontes, D.B.M.M., and Fontes, F.A. (2011, January 12\u201316). An ant colony optimization algorithm to solve the minimum cost network flow problem with concave cost functions. Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, Dublin, Ireland.","DOI":"10.1145\/2001576.2001596"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Gil-Serna, J., V\u00e1zquez, C., Gonz\u00e1lez-Ja\u00e9n, M., and Patino, B. (2018). Wine Contamination with Ochratoxins: A Review. Beverages, 4.","DOI":"10.3390\/beverages4010006"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Kroemer, K.H.E., Kroemer, H.J., and Kroemer-Elbert, K.E. (2020). Engineering Physiology: Bases of Human Factors Engineering\/Ergonomics, Springer. [5th ed.].","DOI":"10.1007\/978-3-030-40627-1"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"555","DOI":"10.1002\/clc.4960130809","article-title":"Metabolic equivalents (METS) in exercise testing, exercise prescription, and evaluation of functional capacity","volume":"13","author":"Sidney","year":"1990","journal-title":"Clin. Cardiol."}],"container-title":["Processes"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2227-9717\/10\/7\/1364\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T23:49:33Z","timestamp":1760140173000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2227-9717\/10\/7\/1364"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,13]]},"references-count":40,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2022,7]]}},"alternative-id":["pr10071364"],"URL":"https:\/\/doi.org\/10.3390\/pr10071364","relation":{},"ISSN":["2227-9717"],"issn-type":[{"type":"electronic","value":"2227-9717"}],"subject":[],"published":{"date-parts":[[2022,7,13]]}}}