{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T19:09:03Z","timestamp":1774379343660,"version":"3.50.1"},"reference-count":63,"publisher":"Emerald","issue":"5","license":[{"start":{"date-parts":[[2020,7,11]],"date-time":"2020-07-11T00:00:00Z","timestamp":1594425600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JEIM"],"published-print":{"date-parts":[[2020,12,3]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>The purpose of this paper is to analyze demand forecast strategies to support a more sustainable management in a pallet supply chain, and thus avoid environmental impacts, such as reducing the consumption of forest resources.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>Since the producer presents several uncertainties regarding its demand logs, a methodology that embed zero-inflated intelligence is proposed combining fuzzy time series with clustering techniques, in order to deal with an excessive count of zeros.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>A comparison with other models from literature is performed. As a result, the strategy that considered at the same time the excess of zeros and low demands provided the best performance, and thus it can be considered a promising approach, particularly for sustainable supply chains where resources consumption is significant and exist a huge variation in demand over time.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>The findings of the study contribute to the knowledge of the managers and policymakers in achieving sustainable supply chain management. The results provide the important concepts regarding the sustainability of supply chain using fuzzy time series and clustering techniques.<\/jats:p><\/jats:sec>","DOI":"10.1108\/jeim-09-2019-0289","type":"journal-article","created":{"date-parts":[[2020,7,11]],"date-time":"2020-07-11T06:52:45Z","timestamp":1594450365000},"page":"1059-1076","source":"Crossref","is-referenced-by-count":14,"title":["Sustainable resource management in a supply chain: a methodological proposal combining zero-inflated fuzzy time series and clustering techniques"],"prefix":"10.1108","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4018-218X","authenticated-orcid":false,"given":"Henrique","family":"Ewbank","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jos\u00e9 Arnaldo","family":"Frutuoso Roveda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sandra Regina","family":"Monteiro Masalskiene Roveda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Admilson \u013ario","family":"Ribeiro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adriano","family":"Bressane","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2012-4097","authenticated-orcid":false,"given":"Abdollah","family":"Hadi-Vencheh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter","family":"Wanke","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","published-online":{"date-parts":[[2020,7,11]]},"reference":[{"issue":"1","key":"key2021061008270901400_ref001","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1016\/j.ejor.2017.10.057","article-title":"A quantitative model for environmentally sustainable supply chain performance measurement","volume":"269","year":"2018","journal-title":"European Journal of Operational Research"},{"issue":"4","key":"key2021061008270901400_ref002","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1108\/09556221211232829","article-title":"A decision support system for demand forecasting in the clothing industry","volume":"24","year":"2012","journal-title":"International Journal of Clothing Science and Technology"},{"key":"key2021061008270901400_ref003","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.resconrec.2017.07.020","article-title":"Assessing the social sustainability of supply chains using Best Worst Method","volume":"126","year":"2017","journal-title":"Resources, Conservation and Recycling"},{"key":"key2021061008270901400_ref004","volume-title":"Pattern Recognition with Fuzzy Objective Function Algorithms","year":"1981"},{"issue":"4","key":"key2021061008270901400_ref005","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1177\/002224377301000413","article-title":"\u201cTheil's forecast accuracy coefficient: a clarification\u201d","volume":"10","year":"1973","journal-title":"Journal of Marketing Research"},{"key":"key2021061008270901400_ref006","doi-asserted-by":"publisher","volume-title":"Sustainable Resource Management: Global Trends, Visions and Policies","year":"2017","DOI":"10.4324\/9781351279284"},{"key":"key2021061008270901400_ref007","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.resconrec.2016.09.025","article-title":"Modelling green and lean supply chains: an eco-efficiency perspective","volume":"120","year":"2017","journal-title":"Resources, Conservation and Recycling"},{"issue":"3","key":"key2021061008270901400_ref008","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/0165-0114(95)00220-0","article-title":"Forecasting enrollments based on fuzzy time series","volume":"81","year":"1996","journal-title":"Fuzzy Sets and Systems"},{"issue":"1","key":"key2021061008270901400_ref009","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/019697202753306479","article-title":"Forecasting enrollments based on high-order fuzzy time series","volume":"33","year":"2002","journal-title":"Cybernetics and Systems"},{"issue":"3","key":"key2021061008270901400_ref010","first-page":"1","article-title":"Forecasting enrollments of students by using fuzzy time series and genetic algorithms","volume":"17","year":"2006","journal-title":"International Journal of Intelligent Systems"},{"issue":"5","key":"key2021061008270901400_ref011","doi-asserted-by":"crossref","first-page":"524","DOI":"10.1016\/j.techfore.2005.07.004","article-title":"Entropy-based and trapezoid fuzzification-based fuzzy time series approaches for forecasting IT project cost","volume":"73","year":"2006","journal-title":"Technological Forecasting and Social Change"},{"issue":"6","key":"key2021061008270901400_ref012","first-page":"1003","article-title":"Color trend forecasting of fashionable products with very few historical data","volume":"42","year":"2011","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)"},{"issue":"3","key":"key2021061008270901400_ref013","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1016\/0893-6080(94)90111-2","article-title":"Fuzzy competitive learning","volume":"7","year":"1994","journal-title":"Neural Networks"},{"issue":"3","key":"key2021061008270901400_ref014","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1016\/j.ijforecast.2006.01.001","article-title":"25 Years of time series forecasting","volume":"22","year":"2006","journal-title":"International Journal of Forecasting"},{"issue":"1","key":"key2021061008270901400_ref015","first-page":"65","article-title":"Effects of different cut-to-length harvesting structures on the economic value of a wood procurement planning problem","volume":"232","year":"2015","journal-title":"Annals of Operations Research"},{"issue":"2","key":"key2021061008270901400_ref016","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1007\/s10479-013-1517-y","article-title":"Optimizing of bullwhip effect and net stock amplification in three-echelon supply chains using evolutionary multi-objective metaheuristics","volume":"242","year":"2016","journal-title":"Annals of Operations Research"},{"issue":"3","key":"key2021061008270901400_ref017","first-page":"32","article-title":"A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters","volume":"3","year":"1974","journal-title":"Journal of Cybernetics"},{"issue":"1","key":"key2021061008270901400_ref018","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1080\/01969727408546059","article-title":"Well-separated clusters and optimal fuzzy partitions","volume":"4","year":"1974","journal-title":"Journal of Cybernetics"},{"issue":"4","key":"key2021061008270901400_ref019","doi-asserted-by":"crossref","first-page":"857","DOI":"10.1007\/s00521-015-1901-4","article-title":"An unsupervised fuzzy clustering approach to the capacitated vehicle routing problem","volume":"27","year":"2016","journal-title":"Neural Computing and Applications"},{"key":"key2021061008270901400_ref020","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.ijpe.2014.10.004","article-title":"Impact of RFID technology on supply chain decisions with inventory inaccuracies","volume":"159","year":"2015","journal-title":"International Journal of Production Economics"},{"key":"key2021061008270901400_ref021","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.ecolecon.2012.01.023","article-title":"Dynamic misspecification in the environmental Kuznets curve: evidence from CO2 and SO2 emissions in the United Kingdom","volume":"76","year":"2012","journal-title":"Ecological Economics"},{"key":"key2021061008270901400_ref022","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.resconrec.2018.09.005","article-title":"Sustainable supply chain modeling and analysis: past debate, present problems and future challenges","volume":"140","year":"2019","journal-title":"Resources, Conservation and Recycling"},{"key":"key2021061008270901400_ref023","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.resconrec.2015.05.023","article-title":"Green decision-making model in reverse logistics using FUZZY-VIKOR method","volume":"103","year":"2015","journal-title":"Resources, Conservation and Recycling"},{"issue":"2","key":"key2021061008270901400_ref063","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1287\/mnsc.27.2.115","article-title":"Forecasting and planning: an evaluation","volume":"27","year":"1981","journal-title":"Management Science"},{"issue":"2","key":"key2021061008270901400_ref024","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1016\/j.ejor.2017.09.046","article-title":"Optimal configuration of a green product supply chain with guaranteed service time and emission constraints","volume":"266","year":"2018","journal-title":"European Journal of Operational Research"},{"key":"key2021061008270901400_ref025","article-title":"Davidmeyerr-projectorg, MDM","year":"2015"},{"issue":"1","key":"key2021061008270901400_ref026","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.ejor.2018.12.024","article-title":"Integrating harvesting decisions in the design of agro-food supply chains","volume":"276","year":"2019","journal-title":"European Journal of Operational Research"},{"issue":"2","key":"key2021061008270901400_ref027","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1016\/j.ejor.2013.07.023","article-title":"Selecting green suppliers based on GSCM practices: using fuzzy TOPSIS applied to a Brazilian electronics company","volume":"233","year":"2014","journal-title":"European Journal of Operational Research"},{"key":"key2021061008270901400_ref028","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.jclepro.2017.12.065","article-title":"Prediction of hourly solar radiation in Abu Musa Island using machine learning algorithms","volume":"176","year":"2018","journal-title":"Journal of Cleaner Production"},{"issue":"1\u20132","key":"key2021061008270901400_ref029","first-page":"5","article-title":"Supply chain surplus: comparing conventional and sustainable supply chains","volume":"26","year":"2014","journal-title":"Flexible Services and Manufacturing Journal"},{"issue":"3","key":"key2021061008270901400_ref030","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1016\/j.asoc.2009.09.004","article-title":"A review of soft computing applications in supply chain management","volume":"10","year":"2010","journal-title":"Applied Soft Computing"},{"issue":"1","key":"key2021061008270901400_ref031","first-page":"539","article-title":"Temperature prediction and TAIFEX forecasting based on fuzzy logical relationships and genetic algorithms","volume":"33","year":"2007","journal-title":"Expert Systems with Applications"},{"issue":"1","key":"key2021061008270901400_ref032","doi-asserted-by":"crossref","first-page":"132","DOI":"10.3844\/ajassp.2012.132.140","article-title":"Fuzzy time series: an application to tourism demand forecasting","volume":"9","year":"2012","journal-title":"American Journal of Applied Sciences"},{"issue":"12","key":"key2021061008270901400_ref033","doi-asserted-by":"crossref","first-page":"1904","DOI":"10.1016\/j.camwa.2006.03.036","article-title":"Deterministic fuzzy time series model for forecasting enrollments","volume":"53","year":"2007","journal-title":"Computers and Mathematics with Applications"},{"issue":"12","key":"key2021061008270901400_ref034","doi-asserted-by":"crossref","first-page":"3052","DOI":"10.1016\/j.camwa.2008.07.033","article-title":"A FCM-based deterministic forecasting model for fuzzy time series","volume":"56","year":"2008","journal-title":"Computers and Mathematics with Applications"},{"key":"key2021061008270901400_ref035","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.resconrec.2017.02.018","article-title":"Structural model for sustainable consumption and production adoption\u2014a grey-DEMATEL based approach","volume":"125","year":"2017","journal-title":"Resources, Conservation and Recycling"},{"issue":"Part B","key":"key2021061008270901400_ref036","first-page":"375","article-title":"Risk analysis in green supply chain using fuzzy AHP approach: a case study","volume":"104","year":"2015","journal-title":"Resources, Conservation and Recycling"},{"issue":"6","key":"key2021061008270901400_ref037","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1016\/j.tre.2005.06.003","article-title":"Global supply chain design: a literature review and critique","volume":"41","year":"2005","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"key":"key2021061008270901400_ref038","volume-title":"Algorithms for Fuzzy Clustering: Methods in c-Means Clustering with Applications","year":"2008"},{"key":"key2021061008270901400_ref039","first-page":"1038","article-title":"Gradient based fuzzy C-means algorithm with a Mercer Kernel","volume-title":"Advances in Neural Networks - ISNN 2006","year":"2006"},{"key":"key2021061008270901400_ref040","doi-asserted-by":"crossref","first-page":"1317","DOI":"10.1016\/j.jclepro.2017.06.107","article-title":"Spatially distributed production data for supply chain models - forecasting with hazardous waste","volume":"161","year":"2017","journal-title":"Journal of Cleaner Production"},{"key":"key2021061008270901400_ref041","volume-title":"Fuzzy Time Series Forecasting - Developing a New Forecasting Model Based on High Order Fuzzy Time Series","year":"2009"},{"key":"key2021061008270901400_ref042","volume-title":"Fuzzy Logic with Engineering Applications","year":"2004","edition":"2nd ed."},{"issue":"9","key":"key2021061008270901400_ref043","doi-asserted-by":"crossref","first-page":"11662","DOI":"10.1016\/j.eswa.2009.03.014","article-title":"A hybrid statistical genetic-based demand forecasting expert system","volume":"36","year":"2009","journal-title":"Expert Systems with Applications"},{"key":"key2021061008270901400_ref044","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.resconrec.2016.08.014","article-title":"Improving corporate sustainable development by using an interdependent closed-loop hierarchical structure","volume":"119","year":"2017","journal-title":"Resources, Conservation and Recycling"},{"key":"key2021061008270901400_ref045","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.1016\/j.jclepro.2017.06.049","article-title":"The turning points of carbon Kuznets curve: evidences from panel and time-series data of 164 countries","volume":"162","year":"2017","journal-title":"Journal of Cleaner Production"},{"issue":"1","key":"key2021061008270901400_ref046","doi-asserted-by":"crossref","first-page":"472","DOI":"10.1016\/j.amc.2006.09.140","article-title":"A robust method of forecasting based on fuzzy time series","volume":"188","year":"2007","journal-title":"Applied Mathematics and Computation"},{"issue":"2","key":"key2021061008270901400_ref047","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1007\/s13042-015-0332-y","article-title":"A brief review of modeling approaches based on fuzzy time series","volume":"8","year":"2017","journal-title":"International Journal of Machine Learning and Cybernetics"},{"key":"key2021061008270901400_ref048","volume-title":"Operations Management","year":"2013","edition":"7th ed."},{"issue":"1","key":"key2021061008270901400_ref049","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/0165-0114(93)90355-L","article-title":"Forecasting enrollments with fuzzy time series - Part I","volume":"54","year":"1993","journal-title":"Fuzzy Sets and Systems"},{"issue":"3","key":"key2021061008270901400_ref050","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1016\/0165-0114(93)90372-O","article-title":"Fuzzy time series and its models","volume":"54","year":"1993","journal-title":"Fuzzy Sets and Systems"},{"issue":"3","key":"key2021061008270901400_ref051","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1016\/0165-0114(94)90152-X","article-title":"A comparison of fuzzy forecasting and Markov modeling","volume":"64","year":"1994","journal-title":"Fuzzy Sets and Systems"},{"key":"key2021061008270901400_ref052","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1016\/j.resconrec.2015.07.016","article-title":"Multi-period closed-loop supply chain network equilibrium with carbon emission constraints","volume":"104","year":"2015","journal-title":"Resources, Conservation and Recycling"},{"key":"key2021061008270901400_ref053","volume-title":"Applied Economic Forecasting","year":"1966"},{"issue":"2","key":"key2021061008270901400_ref054","doi-asserted-by":"crossref","first-page":"129","DOI":"10.5899\/2017\/cacsa-00079","article-title":"A study of fuzzy and non-fuzzy clustering algorithms on Wine Data","volume":"2017","year":"2017","journal-title":"Communications on Advanced Computational Science with Applications"},{"issue":"8","key":"key2021061008270901400_ref055","doi-asserted-by":"crossref","first-page":"9296","DOI":"10.1016\/j.eswa.2011.01.015","article-title":"A comparison study between fuzzy time series model and ARIMA model for forecasting Taiwan export","volume":"38","year":"2011","journal-title":"Expert Systems with Applications"},{"key":"key2021061008270901400_ref056","volume-title":"Ger\u00eancia de opera\u00e7\u00f5es: uma abordagem log\u00edstica","year":"2010"},{"issue":"2","key":"key2021061008270901400_ref057","first-page":"104","article-title":"Average-based fuzzy time series models for forecasting Shanghai compound index","volume":"4","year":"2008","journal-title":"World Journal of Modelling and Simulation"},{"key":"key2021061008270901400_ref058","doi-asserted-by":"publisher","first-page":"1457","DOI":"10.1109\/ICOSP.2000.893376","article-title":"Parameter optimization in FCM clustering algorithms","year":"2000"},{"key":"key2021061008270901400_ref059","first-page":"1","article-title":"Fuzzy forecast combiner design for fast fashion demand forecasting","year":"2012"},{"issue":"3","key":"key2021061008270901400_ref060","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","article-title":"Fuzzy sets","volume":"8","year":"1965","journal-title":"Information and Control"},{"issue":"13","key":"key2021061008270901400_ref061","doi-asserted-by":"crossref","first-page":"2751","DOI":"10.1016\/j.ins.2008.02.012","article-title":"Is there a need for fuzzy logic?","volume":"178","year":"2008","journal-title":"Information Sciences"},{"issue":"3","key":"key2021061008270901400_ref062","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1002\/wics.82","article-title":"Fuzzy set theory","volume":"2","year":"2010","journal-title":"Wiley Interdisciplinary Reviews: Computational Statistics"}],"container-title":["Journal of Enterprise Information Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/JEIM-09-2019-0289\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/JEIM-09-2019-0289\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T22:32:03Z","timestamp":1753396323000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/jeim\/article\/33\/5\/1059-1076\/223815"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,11]]},"references-count":63,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2020,7,11]]},"published-print":{"date-parts":[[2020,12,3]]}},"alternative-id":["10.1108\/JEIM-09-2019-0289"],"URL":"https:\/\/doi.org\/10.1108\/jeim-09-2019-0289","relation":{},"ISSN":["1741-0398"],"issn-type":[{"value":"1741-0398","type":"print"}],"subject":[],"published":{"date-parts":[[2020,7,11]]}}}