{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T23:18:19Z","timestamp":1761175099120,"version":"build-2065373602"},"reference-count":23,"publisher":"Polish Information Processing Society","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.15439\/2025f4025","type":"proceedings-article","created":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T07:44:23Z","timestamp":1761119063000},"page":"693-697","source":"Crossref","is-referenced-by-count":0,"title":["Knitwear Production Scheduling"],"prefix":"10.15439","volume":"43","author":[{"given":"Stefka","family":"Fidanova","sequence":"first","affiliation":[{"name":"Institute of Information and Communication Technologies-Bulgarian Academy of Sciences"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jelenko","family":"Stanchov","sequence":"additional","affiliation":[{"name":"Institute of Information and Communication Technologies-Bulgarian Academy of Sciences"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7714-4844","authenticated-orcid":true,"given":"Maria","family":"Ganzha","sequence":"additional","affiliation":[{"name":"System Research Institute - Polish Academy of Sciences"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"6175","published-online":{"date-parts":[[2025,10,15]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","unstructured":"Xiong H., Shi S., Ren D., Hu J.,A survey of job shop scheduling problem:\nThe types and models, Computers & Operations Research, Vol. 142, 2022,\n105731.","DOI":"10.1016\/j.cor.2022.105731"},{"key":"ref2","doi-asserted-by":"crossref","unstructured":"Johnson S.M., Optimal Two- and Three-stage Production Schedules With\nSetup Times Included, Naval Res. Logist. Quart., Vol. 1(1), 1954, 61-68.","DOI":"10.1002\/nav.3800010110"},{"key":"ref3","doi-asserted-by":"crossref","unstructured":"Akers S.B., Friedman J., A Non-Numerical Approach to Production\nScheduling Problems, J. Oper. Res. Soc. Am., Vol. 3(4), 1955, 429-442.","DOI":"10.1287\/opre.3.4.429"},{"key":"ref4","doi-asserted-by":"crossref","unstructured":"Akers S.B., A Graphical Approach to Production Scheduling Problems,\nOper. Res., Vol.4(2), 1956, 244-245.","DOI":"10.1287\/opre.4.2.244"},{"key":"ref5","doi-asserted-by":"crossref","unstructured":"Sisson R.L., Methods of Sequencing in Job Shops- A Review, Oper. Res.,\nVol.7(1), 1959, 10-29.","DOI":"10.1287\/opre.7.1.10"},{"key":"ref6","doi-asserted-by":"crossref","unstructured":"Jerald J., Asokan P., Saravanan R., Rani A.D.C., Simultaneous scheduling\nof parts and automated guided vehicles in an FMS environment using\nadaptive genetic algorithm, Int. J. Adv. Manuf. Technol., Vol.29(5\u20136),\n2006, 584-589.","DOI":"10.1007\/BF02729112"},{"key":"ref7","doi-asserted-by":"crossref","unstructured":"Yin L., Li X., Gao L., Lu C., Zhang Z., A novel mathematical model and\nmulti-objective method for the low-carbon flexible job shop scheduling\nproblem, Sustainable Comput. Inf. Syst., Vol.13, 2017, 15-30.","DOI":"10.1016\/j.suscom.2016.11.002"},{"key":"ref8","doi-asserted-by":"crossref","unstructured":"Meng L., Zhang C., Shao X., Ren Y., MILP models for energy-aware\nflexible job shop scheduling problem, J. Cleaner Prod., Vol. 210, 2019,\n710-723.","DOI":"10.1016\/j.jclepro.2018.11.021"},{"key":"ref9","doi-asserted-by":"crossref","unstructured":"Ham A., Flexible job shop scheduling problem with parallel batch processing machine, Proceedings of the 2016 Winter Simulation Conference,\n2016, 2740-2749.","DOI":"10.1109\/WSC.2016.7822311"},{"key":"ref10","doi-asserted-by":"crossref","unstructured":"Gao K.Z., Suganthan P.N., Pan Q.K., Tasgetiren M.P., A. Sadollah A.,\nArtificial bee colony algorithm for scheduling and rescheduling fuzzy\nflexible job shop problem with new job insertion, Knowl.-Based Syst.,\nVol. 109, 2016, 1-16.","DOI":"10.1016\/j.knosys.2016.06.014"},{"key":"ref11","doi-asserted-by":"crossref","unstructured":"Liu Q., Zhan M., Chekem F.O., Shao X., Ying B., Sutherland J.M.,\nA hybrid fruit fly algorithm for solving flexible job-shop scheduling to\nreduce manufacturing carbon footprint, J. Cleaner Prod., Vol. 168, 2017,\n668-678.","DOI":"10.1016\/j.jclepro.2017.09.037"},{"key":"ref12","unstructured":"Yang Y.Z., Gu X.S., Pareto-based complete local search and combined\ntimetabling for multi-objective job shop scheduling problem with no-wait\nconstraint, J. Donghua Univ. (English Ed.), Vol. 33(4), 2016, 601-624."},{"key":"ref13","doi-asserted-by":"crossref","unstructured":"Wang X., Wang B., Zhang X., Xia X., Q. Pan Q., Two-objective robust\njob-shop scheduling with two problem-specific neighborhood structures,\nSwarm Evol. Comput., Vol. 61, 2021, 100805.","DOI":"10.1016\/j.swevo.2020.100805"},{"key":"ref14","doi-asserted-by":"crossref","unstructured":"Li K., Deng Q., Zhang L., Fan Q., Gong G., Ding S.,An effective MCTS-based algorithm for minimizing makespan in dynamic flexible job shop\nscheduling problem, Comput. Ind. Eng., Vol. 155(2), 2021, 107211.","DOI":"10.1016\/j.cie.2021.107211"},{"key":"ref15","doi-asserted-by":"crossref","unstructured":"An Y., Chen X., Li Y., Han Y., Zhang J., Shi H., An improved non-dominated sorting biogeography-based optimization algorithm for the\n(hybrid) multi-objective flexible job-shop scheduling problem, Appl. Soft\nComput.,Vol. 99, 2021, 106869.","DOI":"10.1016\/j.asoc.2020.106869"},{"key":"ref16","doi-asserted-by":"crossref","unstructured":"Anghinolfi D., Paolucci M., Ronco R., A bi-objective heuristic approach\nfor green identical parallel machine scheduling, Eur. J. Oper. Res., Vol.\n289(2), 2021, 416-434.","DOI":"10.1016\/j.ejor.2020.07.020"},{"key":"ref17","doi-asserted-by":"crossref","unstructured":"Grosch B., Kohne T., Weigold M,, Multi-objective hybrid genetic algorithm for energy adaptive production scheduling in job shops, Procedia\nCIRP, Vol. 98, 2021, 294-299.","DOI":"10.1016\/j.procir.2021.01.106"},{"key":"ref18","unstructured":"Scalia B., Leite C.F., The Job-Shop Scheduling Problem: Mixed-Integer\nProgramming Models, TCS Archive, 2023."},{"key":"ref19","doi-asserted-by":"crossref","unstructured":"Bynum, M. L. et al., Pyomo-optimization modeling in python, Springer,\n2021.","DOI":"10.1007\/978-3-030-68928-5"},{"key":"ref20","doi-asserted-by":"crossref","unstructured":"Dauz\u00e8re-P\u00e9r\u00e8s S., Ding J., Shen L., Tamssaouet K., The flexible job shop\nscheduling problem: A review, European Journal of Operational Research,\nVol. 314(2), 2024, 409-432.","DOI":"10.1016\/j.ejor.2023.05.017"},{"key":"ref21","doi-asserted-by":"crossref","unstructured":"Dorigo M, Stutzle T., Ant Colony Optimization, MIT Press, 2004.","DOI":"10.7551\/mitpress\/1290.001.0001"},{"key":"ref22","doi-asserted-by":"crossref","unstructured":"Fidanova S. Hybrid Ant Colony Optimization Algorithm for Multiple Knapsack Problem. 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE), IEEE, 2021,\nDOI:10.1109\/ICRAIE51050.2020.9358351, 1-5.","DOI":"10.1109\/ICRAIE51050.2020.9358351"},{"key":"ref23","doi-asserted-by":"crossref","unstructured":"Bonabeau E., Dorigo M. and Theraulaz G., Swarm Intelligence: From\nNatural to Artificial Systems, New York,Oxford University Press, 1999.","DOI":"10.1093\/oso\/9780195131581.001.0001"}],"event":{"name":"20th Conference on Computer Science and Intelligence Systems (FedCSIS)","theme":"Computer Science and Intelligence Systems","location":"Krak\u00f3w, Poland","acronym":"FedCSIS","number":"20","start":{"date-parts":[[2025,9,14]]},"end":{"date-parts":[[2025,9,17]]}},"container-title":["Annals of Computer Science and Information Systems","Proceedings of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS)"],"original-title":[],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T07:51:06Z","timestamp":1761119466000},"score":1,"resource":{"primary":{"URL":"https:\/\/annals-csis.org\/Volume_43\/drp\/4025.html"}},"subtitle":[],"proceedings-subject":"Computer Science and Information Systems","short-title":[],"issued":{"date-parts":[[2025,10,15]]},"references-count":23,"URL":"https:\/\/doi.org\/10.15439\/2025f4025","relation":{},"ISSN":["2300-5963"],"issn-type":[{"value":"2300-5963","type":"print"}],"subject":[],"published":{"date-parts":[[2025,10,15]]}}}