{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T22:17:21Z","timestamp":1785795441280,"version":"3.56.0"},"reference-count":44,"publisher":"IGI Global Scientific Publishing","issue":"1","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/deed.en_US"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"am","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/deed.en_US"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/deed.en_US"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,1,1]]},"abstract":"<p>In this study, an Artificial Bee Colony (ABC) based clustering algorithm is proposed for solving continuous multiple facility location problems. Unlike the original version applied to multivariate data clustering, the ABC based clustering here solves the two-dimensional clustering. On the other hand, the multiple facility location problem the proposed clustering algorithm deals with is aimed to find site locations for healthcare wastes. After applying ABC based clustering algorithm on test data, a real-world facility location problem is solved for identifying healthcare waste disposal facility locations for Istanbul Municipality. Geographical coordinates and healthcare waste amounts of Istanbul hospitals are used to decide the locations of sterilization facilities to be established for reducing the medical waste generated. ABC based clustering is performed for different number of clusters predefined by Istanbul Metropolitan Municipality, and the total cost\u2014the amount of healthcare waste produced by a hospital, multiplied by its distance to the sterilization facility\u2014is calculated to decide the number of facilities to be opened. Benchmark results with four algorithms for test data and with two algorithms for real world problem reveal the superior performance of the proposed methodology.<\/p>","DOI":"10.4018\/ijoris.2019010104","type":"journal-article","created":{"date-parts":[[2018,11,17]],"date-time":"2018-11-17T11:14:06Z","timestamp":1542453246000},"page":"56-75","source":"Crossref","is-referenced-by-count":34,"title":["Clustering Approach Using Artificial Bee Colony Algorithm for Healthcare Waste Disposal Facility Location Problem"],"prefix":"10.4018","volume":"10","author":[{"given":"Zeynep","family":"Gergin","sequence":"first","affiliation":[{"name":"Istanbul Kultur University, Istanbul, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"N\u00fckhet","family":"Tun\u00e7bilek","sequence":"additional","affiliation":[{"name":"Istanbul University-Cerrahpasa, Istanbul, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"\u015eakir","family":"Esnaf","sequence":"additional","affiliation":[{"name":"Istanbul University-Cerrahpasa, Istanbul, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJORIS.2019010104-0","doi-asserted-by":"publisher","DOI":"10.1016\/j.wasman.2007.08.024"},{"key":"IJORIS.2019010104-1","unstructured":"Alhoneimi, E., Himberg, J., Parviainen, J., & Vesanto, J. (2000). SOM Toolbox 2.0, A software for MATLAB implementing SOM algorithm. Retrieved from www.cis.hut.fi\/projects\/somtoolbox\/"},{"key":"IJORIS.2019010104-2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2005.06.012"},{"key":"IJORIS.2019010104-3","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2006.09.012"},{"key":"IJORIS.2019010104-4","unstructured":"Balasko, B., Abonyi, J., & Feil, B. (2005). Fuzzy clustering and data analysis toolbox for MATLAB. Department of Process Engineering University of Veszprem, Hungary. Retrieved from www.sunfinedata.com\/wp-content\/uploads\/2009\/10\/FuzzyClustering Toolbox.pdf"},{"key":"IJORIS.2019010104-5","author":"R. H.Ballou","year":"1999","journal-title":"Business Logistics Management"},{"key":"IJORIS.2019010104-6","unstructured":"B\u00fcy\u00fcksaat\u00e7i, S. (2009) Green supply chain management, and an application. Unpublished master\u2019s dissertation, Istanbul University, Industrial Engineering. (In Turkish)"},{"key":"IJORIS.2019010104-7","doi-asserted-by":"publisher","DOI":"10.1016\/S0166-218X(03)00431-1"},{"key":"IJORIS.2019010104-8","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2005.02.030"},{"key":"IJORIS.2019010104-9","doi-asserted-by":"publisher","DOI":"10.1002\/9781118032343"},{"key":"IJORIS.2019010104-10","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-008-0233-y"},{"key":"IJORIS.2019010104-11","first-page":"147","article-title":"Solving uncapacitated planar multi-facility location problems by a revised weighted fuzzy c-means clustering algorithm","volume":"21","author":"\u015e.Esnaf","year":"2013","journal-title":"Journal Of Multiple-Valued Logic And Soft Computing"},{"key":"IJORIS.2019010104-12","unstructured":"Esnaf, \u015e., K\u00fc\u00e7\u00fckdeniz, T., & B\u00fcy\u00fcksaat\u00e7i, S. (2008, June). Fuzzy C-Means and center of gravity combined model for a capacitated planar multiple facility location problem. Paper presented atInternational Conference on Multivariate Statistical Modeling & High Dimensional Data Mining, Kayseri, Turkey."},{"key":"IJORIS.2019010104-13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-53939-8_21"},{"key":"IJORIS.2019010104-14","doi-asserted-by":"publisher","DOI":"10.1111\/j.1475-3995.1999.tb00180.x"},{"key":"IJORIS.2019010104-15","unstructured":"Gergin, Z., & Esnaf, \u015e. (2013, August) Comparing the performance of different artificial intelligence based clustering algorithms in healthcare waste disposal location. Paper presented at the4th International Conference on Risk Analysis and Crisis Response, Istanbul, Turkey."},{"key":"IJORIS.2019010104-16","doi-asserted-by":"publisher","DOI":"10.1016\/j.envsoft.2007.03.004"},{"key":"IJORIS.2019010104-17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2017.08.091"},{"key":"IJORIS.2019010104-18","author":"S.Haykin","year":"1999","journal-title":"Neural networks"},{"key":"IJORIS.2019010104-19","author":"F.H\u00f6ppner","year":"2000","journal-title":"Fuzzy cluster analysis"},{"key":"IJORIS.2019010104-20","doi-asserted-by":"publisher","DOI":"10.1016\/S0305-0548(03)00049-2"},{"key":"IJORIS.2019010104-21","unstructured":"Karabo\u011fa, D. (2005). An idea based on honey bee swarm for numerical optimization [Unpublished technical report (TR06)]. Erciyes University, Computer Engineering Department, Erciyes, Turkey."},{"key":"IJORIS.2019010104-22","doi-asserted-by":"publisher","DOI":"10.1007\/s10898-007-9149-x"},{"key":"IJORIS.2019010104-23","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.02.161"},{"key":"IJORIS.2019010104-24","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2011.08.038"},{"key":"IJORIS.2019010104-25","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.09.102"},{"key":"IJORIS.2019010104-26","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-017-2539-1"},{"key":"IJORIS.2019010104-27","unstructured":"Li-hong, S. (2009). A mixed integer linear programming model for medical waste reverse logistics network design, In Proceedings of the16th International Conference on Management Science & Engineering, Moscow, Russia, September 14-16 (pp. 1971-1975)."},{"key":"IJORIS.2019010104-28","doi-asserted-by":"publisher","DOI":"10.1016\/S0305-0548(03)00039-X"},{"issue":"1","key":"IJORIS.2019010104-29","first-page":"115","article-title":"Locating optimal places for emergency medical centers using artificial bee colony algorithm","volume":"6","author":"K.Mohrechi","year":"2015","journal-title":"Journal of Advances in Computer Research Quarterly"},{"key":"IJORIS.2019010104-30","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2004.11.011"},{"key":"IJORIS.2019010104-31","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2003.11.032"},{"key":"IJORIS.2019010104-32","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2004.08.014"},{"key":"IJORIS.2019010104-33","doi-asserted-by":"publisher","DOI":"10.1177\/0734242X11427941"},{"key":"IJORIS.2019010104-34","first-page":"2454","article-title":"A novel model for quick response to disaster relief distribution","volume":"5","author":"J.-B.Sheu","year":"2005","journal-title":"Eastern Asia Society for Transportation Studies"},{"key":"IJORIS.2019010104-35","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2005.07.014"},{"key":"IJORIS.2019010104-36","author":"P.-N.Tan","year":"2005","journal-title":"Introduction to data mining"},{"issue":"3","key":"IJORIS.2019010104-37","first-page":"735","article-title":"Healthcare waste disposal strategy selection using grey-AHP approach, Benchmarking","volume":"24","author":"V.Thakur","year":"2017","journal-title":"International Journal (Toronto, Ont.)"},{"key":"IJORIS.2019010104-38","first-page":"1","article-title":"Artificial Bee Colony optimization algorithm for uncapacitated facility location problems","volume":"14","author":"N.Tun\u00e7bilek","year":"2012","journal-title":"Journal of Economic and Social Research"},{"key":"IJORIS.2019010104-39","doi-asserted-by":"publisher","DOI":"10.5267\/j.ijiec.2017.4.003"},{"key":"IJORIS.2019010104-40","author":"Y.Chartier","year":"2014","journal-title":"Safe management of wastes from health-care activities"},{"key":"IJORIS.2019010104-41","doi-asserted-by":"publisher","DOI":"10.1016\/j.jenvman.2016.06.015"},{"key":"IJORIS.2019010104-42","unstructured":"Zalik, K. R. (2006). Fuzzy C-means clustering and facility location problems, In proceedings of the 10th IASTED Conference Artificial Intelligence and Soft Computing, Palma de Mallorca, Spain, August 28\u201330."},{"key":"IJORIS.2019010104-43","doi-asserted-by":"crossref","unstructured":"Zhang, S. Z., & Lee, C. K. M. (2013). Optimization of facility location problem in reverse logistics network using artificial bee colony algorithm. In Proceedings of the2013 IEEE, Turin, Italy, April 14-19.","DOI":"10.1109\/IEEM.2013.6962630"}],"container-title":["International Journal of Operations Research and Information Systems"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=218263","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,6]],"date-time":"2022-05-06T16:56:46Z","timestamp":1651856206000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJORIS.2019010104"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2019,1,1]]},"references-count":44,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,1]]}},"URL":"https:\/\/doi.org\/10.4018\/ijoris.2019010104","relation":{},"ISSN":["1947-9328","1947-9336"],"issn-type":[{"value":"1947-9328","type":"print"},{"value":"1947-9336","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1,1]]}}}