大流行后时代医疗废弃物回收第三方逆向物流建模

IF 7 2区 工程技术 Q1 ENGINEERING, INDUSTRIAL International Journal of Production Research Pub Date : 2023-11-10 DOI:10.1080/00207543.2023.2269584
Meenu Singh, Sunil Kumar Jauhar, Millie Pant, Sanjoy Kumar Paul
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As a result, this study proposes a two-phase hybrid decision-making problem. First phase combines the two multi-attribute decision-making methods to select 3PRLPs based on their assessed SPS and Second phase, the evaluated SPS was utilised as one of the objectives of a multi-objective linear programming model to allocate orders to the selected 3PRLPs. To solve the proposed model, both classical and modern approaches were used. The results show that the proposed framework can be successfully implemented in the current scenario of the healthcare industry.KEYWORDS: Reverse logisticswaste recyclingmulti-objective programmingorder allocationhealthcare industry Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability StatementThe data supporting this study’s findings are available on request from the corresponding author.Notes1 Source: https://www.statista.com/statistics/1067081/generation-electronic-waste-globally-forecast/2 Source: https://theroundup.org/global-e-waste-statistics/.3 Source: https://www.deccanherald.com/business/covid-19-automakers-medical-device-makers-join-hands-to-produce-ventilators-819878.html.4 Source: https://www.weforum.org/agenda/2020/04/covid-19-ventilator-shortage-manufacturing-solution/5 Source: https://straitsresearch.com/report/ventilators-market6 Source:https://www.indiatoday.in/india/story/did-ventilators-from-pm-cares-fund-fail-or-states-failed-to-manage-them-1803473-2021-05-17Additional informationNotes on contributorsMeenu SinghDr. Meenu Singh received a Ph.D. in operations research and decision science from the Department of Applied Mathematics and Scientific Computing at the Indian Institute of Technology (IIT) Roorkee, India, in 2022. She is currently a postdoctoral researcher at VŠB – Technical University of Ostrava, Ostrava, Czech Republic. Her research focuses on operational research, supply chain management, data analysis, mathematical modelling, multi-criteria decision-making (MCDM) process, and the application of soft computing techniques.Sunil Kumar JauharDr. Sunil Kumar Jauhar is currently working as an assistant professor in the operations and decision science area at IIM Kashipur. He graduated from SGSITS Indore with a B. E. in Industrial and Production Engineering, VNIT Nagpur with an M. Tech. in Industrial Engineering, and IIT Roorkee with a Ph.D. in Operations and Supply Chain Management. He was a Postdoctoral Fellow at the Ted Rogers School of Management, Toronto Metropolitan University (FKA: Ryerson University), Canada, during 2018–19. Prior to joining IIM Kashipur, he was a faculty member at IIM Jammu. His research interests include supply chain sustainability, circular economy, industry 4.0, digital transformation, and machine learning. He has contributed several articles to research journals. Among them are the Annals of Operations Research, International Journal of Production Research, Computers and Industrial Engineering, Business Strategy and the Environment, Journal of Cleaner Production, and editing a special issue of Computers and Industrial Engineering. He is a member of several research societies, such as the Institute for Operations Research and Management Sciences (INFORMS), the Decision Sciences Institute (DSI), and the Canadian Operational Research Society (CORS). Currently, he is involved in the Indo-Czech joint R&D project under the India-Czech Scientific and Technological Cooperation Program. This is a project funded by the Department of Science and Technology, Government of India, and the Ministry of Education, Youth, and Sports (MEYS) of the Republic of Czech.Millie PantProf. Mille Pant is working as a Professor in the Department of Applied Science and Engineering at Indian Institute of Technology (IIT) Roorkee, Roorkee, India. She did her Ph.D. from the Mathematics department, IIT Roorkee, Roorkee, India. She has published more than 200 articles in various journals and conferences of national and international repute. Her areas of interest include numerical optimisation and operations research, evolutionary algorithms and supply chain management, and swarm intelligence techniques.Sanjoy Kumar PaulProf. Sanjoy Kumar Paul is an Associate Professor of Operations and Supply Chain Management at the UTS Business School, University of Technology Sydney, Sydney, Australia. Sanjoy’s research interests include supply chain risk management, resilience and sustainability, applied operations research, modeling and simulation, and intelligent decision-making. Sanjoy has published more than 120 articles in top-tier journals and conferences, including the European Journal of Operational Research, Transportation Research Part E: Logistics and Transportation Review, International Journal of Production Economics, Journal of Business Research, International Journal of Production Research, Computers and Operations Research, Computers & Industrial Engineering, International Journal of Logistics Management, Business Strategy and the Environment, Journal of Cleaner Production, and Annals of Operations Research, among many others. He is also an associate editor, area editor, editorial board member, and active reviewer of several reputed journals. 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The results show that the proposed framework can be successfully implemented in the current scenario of the healthcare industry.KEYWORDS: Reverse logisticswaste recyclingmulti-objective programmingorder allocationhealthcare industry Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability StatementThe data supporting this study’s findings are available on request from the corresponding author.Notes1 Source: https://www.statista.com/statistics/1067081/generation-electronic-waste-globally-forecast/2 Source: https://theroundup.org/global-e-waste-statistics/.3 Source: https://www.deccanherald.com/business/covid-19-automakers-medical-device-makers-join-hands-to-produce-ventilators-819878.html.4 Source: https://www.weforum.org/agenda/2020/04/covid-19-ventilator-shortage-manufacturing-solution/5 Source: https://straitsresearch.com/report/ventilators-market6 Source:https://www.indiatoday.in/india/story/did-ventilators-from-pm-cares-fund-fail-or-states-failed-to-manage-them-1803473-2021-05-17Additional informationNotes on contributorsMeenu SinghDr. Meenu Singh received a Ph.D. in operations research and decision science from the Department of Applied Mathematics and Scientific Computing at the Indian Institute of Technology (IIT) Roorkee, India, in 2022. 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引用次数: 0

摘要

COVID-19大流行增加了对被称为“呼吸机”的救生设备的需求,这种设备可以帮助危重患者呼吸。由于全球对呼吸机和其他医疗设备的高需求,许多印度非医疗设备公司已经崛起以满足这一需求。在新冠肺炎大流行期间,对呼吸机的这种意外需求,与其他EOL电子医疗设备的需求类似,已成为国家面临的严重问题。因此,医疗保健行业必须有效地处理EOL呼吸机,这可以外包给3prlp。3prlp在公司的逆向物流活动中起着至关重要的作用。本研究强调3PRLP选择过程是一个复杂的决策问题,并将订单分配优化到合格的3PRLP。因此,本研究提出了一个两阶段混合决策问题。第一阶段结合两种多属性决策方法,根据评估的SPS选择3prlp;第二阶段,将评估的SPS作为多目标线性规划模型的目标之一,为选定的3prlp分配订单。为了解决所提出的模型,使用了经典和现代方法。结果表明,所提出的框架可以在当前的医疗保健行业场景中成功实施。关键词:逆向物流、垃圾回收、多目标规划、订单分配、医疗行业披露声明作者未报告潜在利益冲突。数据可用性声明支持本研究结果的数据可向通讯作者索取。注1来源:https://www.statista.com/statistics/1067081/generation-electronic-waste-globally-forecast/2来源:https://theroundup.org/global-e-waste-statistics/.3来源:https://www.deccanherald.com/business/covid-19-automakers-medical-device-makers-join-hands-to-produce-ventilators-819878.html.4来源:https://www.weforum.org/agenda/2020/04/covid-19-ventilator-shortage-manufacturing-solution/5来源:https://straitsresearch.com/report/ventilators-market6来源:https://www.indiatoday.in/india/story/did-ventilators-from-pm-cares-fund-fail-or-states-failed-to-manage-them-1803473-2021-05-17Additional information贡献者说明:menu SinghDr。Meenu Singh于2022年获得印度理工学院(IIT)应用数学和科学计算系运筹学和决策科学博士学位。现为捷克俄斯特拉发技术大学VŠB博士后研究员。她的研究重点是运筹学、供应链管理、数据分析、数学建模、多准则决策(MCDM)过程以及软计算技术的应用。Sunil Kumar JauharDr。Sunil Kumar Jauhar目前是印度管理学院运营和决策科学领域的助理教授。他毕业于印度理工学院印多尔分校,获得工业和生产工程学士学位,印度理工学院那格浦尔分校获得工业工程硕士学位,印度理工学院鲁尔基分校获得运营和供应链管理博士学位。2018 - 2019年在加拿大多伦多城市大学(FKA: Ryerson University)泰德·罗杰斯管理学院博士后。在加入印度管理学院之前,他是印度管理学院查谟分校的教员。他的研究兴趣包括供应链可持续性、循环经济、工业4.0、数字化转型和机器学习。他在研究期刊上发表了几篇文章。其中包括《运筹学年鉴》、《国际生产研究杂志》、《计算机与工业工程》、《商业战略与环境》、《清洁生产杂志》,并编辑了《计算机与工业工程》特刊。他是几个研究学会的成员,如运筹学和管理科学研究所(INFORMS)、决策科学研究所(DSI)和加拿大运筹学学会(CORS)。目前,他参与了印度-捷克科技合作计划下的印度-捷克联合研发项目。这是一个由印度政府科技部和捷克共和国教育、青年和体育部(MEYS)资助的项目。米莉PantProf。Mille Pant是印度理工学院(IIT)应用科学与工程系的教授。她在印度鲁尔基IIT鲁尔基数学系获得博士学位。她在国内外知名期刊和会议上发表了200多篇文章。她感兴趣的领域包括数值优化和运筹学,进化算法和供应链管理,以及群体智能技术。保罗教授。
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Modeling third-party reverse logistics for healthcare waste recycling in the post-pandemic era
AbstractThe COVID-19 pandemic has increased the demand for life-saving devices known as ‘ventilators,’ which help critically ill patients breathe. Owing to the high global demand for ventilators and other medical equipment, many Indian nonmedical equipment companies have risen to meet this demand. This unexpected demand for ventilators during the COVID-19 pandemic, similar to that for other EOL electronic medical devices, has become a severe problem for the nation. Consequently, the healthcare industry must efficiently handle EOL ventilators, which can be outsourced to 3PRLPs. 3PRLPs play a vital role in a company’s reverse logistics activities. This study emphasises the 3PRLP selection process as a complex decision-making problem and the optimisation of order allocation to qualified 3PRLPs. As a result, this study proposes a two-phase hybrid decision-making problem. First phase combines the two multi-attribute decision-making methods to select 3PRLPs based on their assessed SPS and Second phase, the evaluated SPS was utilised as one of the objectives of a multi-objective linear programming model to allocate orders to the selected 3PRLPs. To solve the proposed model, both classical and modern approaches were used. The results show that the proposed framework can be successfully implemented in the current scenario of the healthcare industry.KEYWORDS: Reverse logisticswaste recyclingmulti-objective programmingorder allocationhealthcare industry Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability StatementThe data supporting this study’s findings are available on request from the corresponding author.Notes1 Source: https://www.statista.com/statistics/1067081/generation-electronic-waste-globally-forecast/2 Source: https://theroundup.org/global-e-waste-statistics/.3 Source: https://www.deccanherald.com/business/covid-19-automakers-medical-device-makers-join-hands-to-produce-ventilators-819878.html.4 Source: https://www.weforum.org/agenda/2020/04/covid-19-ventilator-shortage-manufacturing-solution/5 Source: https://straitsresearch.com/report/ventilators-market6 Source:https://www.indiatoday.in/india/story/did-ventilators-from-pm-cares-fund-fail-or-states-failed-to-manage-them-1803473-2021-05-17Additional informationNotes on contributorsMeenu SinghDr. Meenu Singh received a Ph.D. in operations research and decision science from the Department of Applied Mathematics and Scientific Computing at the Indian Institute of Technology (IIT) Roorkee, India, in 2022. She is currently a postdoctoral researcher at VŠB – Technical University of Ostrava, Ostrava, Czech Republic. Her research focuses on operational research, supply chain management, data analysis, mathematical modelling, multi-criteria decision-making (MCDM) process, and the application of soft computing techniques.Sunil Kumar JauharDr. Sunil Kumar Jauhar is currently working as an assistant professor in the operations and decision science area at IIM Kashipur. He graduated from SGSITS Indore with a B. E. in Industrial and Production Engineering, VNIT Nagpur with an M. Tech. in Industrial Engineering, and IIT Roorkee with a Ph.D. in Operations and Supply Chain Management. He was a Postdoctoral Fellow at the Ted Rogers School of Management, Toronto Metropolitan University (FKA: Ryerson University), Canada, during 2018–19. Prior to joining IIM Kashipur, he was a faculty member at IIM Jammu. His research interests include supply chain sustainability, circular economy, industry 4.0, digital transformation, and machine learning. He has contributed several articles to research journals. Among them are the Annals of Operations Research, International Journal of Production Research, Computers and Industrial Engineering, Business Strategy and the Environment, Journal of Cleaner Production, and editing a special issue of Computers and Industrial Engineering. He is a member of several research societies, such as the Institute for Operations Research and Management Sciences (INFORMS), the Decision Sciences Institute (DSI), and the Canadian Operational Research Society (CORS). Currently, he is involved in the Indo-Czech joint R&D project under the India-Czech Scientific and Technological Cooperation Program. This is a project funded by the Department of Science and Technology, Government of India, and the Ministry of Education, Youth, and Sports (MEYS) of the Republic of Czech.Millie PantProf. Mille Pant is working as a Professor in the Department of Applied Science and Engineering at Indian Institute of Technology (IIT) Roorkee, Roorkee, India. She did her Ph.D. from the Mathematics department, IIT Roorkee, Roorkee, India. She has published more than 200 articles in various journals and conferences of national and international repute. Her areas of interest include numerical optimisation and operations research, evolutionary algorithms and supply chain management, and swarm intelligence techniques.Sanjoy Kumar PaulProf. Sanjoy Kumar Paul is an Associate Professor of Operations and Supply Chain Management at the UTS Business School, University of Technology Sydney, Sydney, Australia. Sanjoy’s research interests include supply chain risk management, resilience and sustainability, applied operations research, modeling and simulation, and intelligent decision-making. Sanjoy has published more than 120 articles in top-tier journals and conferences, including the European Journal of Operational Research, Transportation Research Part E: Logistics and Transportation Review, International Journal of Production Economics, Journal of Business Research, International Journal of Production Research, Computers and Operations Research, Computers & Industrial Engineering, International Journal of Logistics Management, Business Strategy and the Environment, Journal of Cleaner Production, and Annals of Operations Research, among many others. He is also an associate editor, area editor, editorial board member, and active reviewer of several reputed journals. Sanjoy has successfully secured external grants from the Department of Defence, Department of Industry, Science, Energy and Resources, Department of Foreign Affairs and Trade, and Meat and Livestock Australia Limited. Sanjoy has received several awards in his career, including ASOR Rising Star Award from the Australian Society for Operations Research, Excellence in Early Career Research Award from UTS Business School, the Stephen Fester prize for most outstanding thesis from UNSW, and high impact publications awards for publishing articles in top-tier journals. Based on his citation records in 2020, 2021 and 2022, he was included in the top 2% of scientists in author databases of standardised citation indicators.
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来源期刊
International Journal of Production Research
International Journal of Production Research 管理科学-工程:工业
CiteScore
19.20
自引率
14.10%
发文量
318
审稿时长
6.3 months
期刊介绍: The International Journal of Production Research (IJPR), published since 1961, is a well-established, highly successful and leading journal reporting manufacturing, production and operations management research. IJPR is published 24 times a year and includes papers on innovation management, design of products, manufacturing processes, production and logistics systems. Production economics, the essential behaviour of production resources and systems as well as the complex decision problems that arise in design, management and control of production and logistics systems are considered. IJPR is a journal for researchers and professors in mechanical engineering, industrial and systems engineering, operations research and management science, and business. It is also an informative reference for industrial managers looking to improve the efficiency and effectiveness of their production systems.
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