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Lean Office: Proposition and Application of a Process-Mapping Method Based on the Shingo Production Mechanism (SPM) 精益办公:基于 Shingo 生产机制(SPM)的流程制图方法的提出与应用
IF 2.5 4区 管理学 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-12-11 DOI: 10.1080/10429247.2023.2286881
Tassiane Strassburguer, Fabiano de Lima Nunes, Ariel Peixoto Possebon, José Antonio Valle Antunes Jr (Junico Antunes), Cristine Hermann Nodari
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引用次数: 0
Managing Stakeholder Pressure for Megaproject Success and Green Innovation: The Key Role of Social Responsibility 管理利益相关者的压力,促进大型项目的成功和绿色创新:社会责任的关键作用
IF 2.5 4区 管理学 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-12-07 DOI: 10.1080/10429247.2023.2286177
Azhar Ali, Li Ma, Mohsin Shahzad, Shahid Hussain
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引用次数: 0
Engineering Management Education: Washington Accord Accreditation Programs 工程管理教育:华盛顿协议认证计划
IF 2.5 4区 管理学 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-12-04 DOI: 10.1080/10429247.2023.2285657
June Ho, Vik Kortian, Nazmul Huda, Ann Lee
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引用次数: 0
The New PAD: A Method to Implement the Lean Construction Principles 新PAD:一种实施精益构建原则的方法
4区 管理学 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-11-06 DOI: 10.1080/10429247.2023.2270892
Marcelo Fabiano Costella, Analice Pinzon Balena, Isaac Brugnera Stefanello, Rubens Postali, Francieli Dalcanton
AbstractSince companies face difficulties and barriers that prevent the implementation of the Lean philosophy because of resistance within the sector to the use of new techniques and tools, more transparent guidelines on the Lean Construction (LC) principles must be established to increase their usefulness and dissemination. This paper proposes a new LC principles deployment method called New PAD. The previous method, called PAD (Preparation, Application, Deployment), was evaluated based on previous exploratory studies and a literature review, which enabled its improvement with the proposal of the New PAD, which was applied and evaluated in a case study of a paver block production process. The main result is the proposal of the New PAD, the validation of which revealed a reduction in production time from 5 hours and 25 minutes to 4 hours and 30 minutes, minimizing flow times. The New PAD proved to be a viable method for implementing Lean Construction principles in various construction activities, and there was a positive evaluation in the case study company. Because of the lack of formalized methods for deploying LC principles, this paper validates the New PAD method, which can fill this gap.Keywords: Civil ProductionDeployment MethodLean ProductionEMJ Focus Areas: Operations Management Disclosure StatementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsMarcelo Fabiano CostellaMarcelo Fabiano Costella has PhD in Production Engineering. He is currently a professor of the Doctorate and Professional Master’s Degree in Technology and Innovation Management at the Community University of Chapecó Region. He has experience in Production Engineering, with an emphasis on Lean Production, Workplace Safety and Resilience Engineering.Analice Pinzon BalenaAnalice Pinzon Balena has Master’s Degree in Technology and Innovation Management from Unochapecó. He has experience in the field of Civil Engineering, with an emphasis on Lean Construction and Education.Isaac Brugnera StefanelloIsaac Brugnera Stefanello has Master’s Degree in Technology and Innovation Management from Unochapecó. He has experience in the field of Civil Engineering, with an emphasis on production management.Rubens PostaliRubens Postali is a Phd student and Master’s Degree in Technology and Innovation Management from Unochapecó. He has experience in the field of Food Science and Technology, with an emphasis on Industrial Facilities for Food Production.Francieli DalcantonFrancieli Dalcanton has PhD and Masters in Food Engineering. She is currently professor of the Food Engineering, Chemical Engineering and Stricto Sensu Graduate Program in Technology and Innovation Management at the Community University of the Chapecó Region. Experience in Food Engineering, predictive microbiology, product development, waste recovery, encapsulation of essential oils with antimicrobial activity, quality management, Lean philosophy and cleaner production.
摘要由于企业面临的困难和障碍,阻碍精益理念的实施,因为在部门内抵制使用新技术和工具,更透明的指导方针的精益建设(LC)原则必须建立,以增加其有用性和传播。本文提出了一种新的LC原理部署方法——new PAD。之前的方法被称为PAD(准备、应用、部署),该方法是基于之前的探索性研究和文献综述进行评估的,随着新PAD的提出,该方法得到了改进,并在摊铺机块生产过程的案例研究中进行了应用和评估。主要成果是新PAD的提出,其验证表明,生产时间从5小时25分钟减少到4小时30分钟,最大限度地减少了流程时间。新PAD被证明是在各种施工活动中实施精益施工原则的可行方法,在案例研究公司中得到了积极的评价。由于缺乏形式化的方法来部署LC原理,本文验证了新的PAD方法,它可以填补这一空白。关键词:民用生产部署方法精益生产emj重点领域:运营管理披露声明作者未报告潜在的利益冲突。关于贡献者的说明smarcelo Fabiano Costella amarcelo Fabiano Costella拥有生产工程博士学位。他目前是Chapecó地区社区大学技术与创新管理专业的博士和专业硕士学位教授。他拥有生产工程方面的经验,重点是精益生产、工作场所安全和弹性工程。Analice Pinzon Balena拥有Unochapecó的技术和创新管理硕士学位。他在土木工程领域有丰富的经验,重点是精益建筑和教育。Isaac Brugnera Stefanello拥有Unochapecó的技术和创新管理硕士学位。他在土木工程领域有经验,重点是生产管理。Rubens Postali,博士研究生,技术与创新管理硕士学位,就读于Unochapecó。他在食品科学和技术领域有经验,重点是食品生产的工业设施。franccieli Dalcanton拥有食品工程博士和硕士学位。她目前是Chapecó地区社区大学食品工程、化学工程和严格意义上的技术与创新管理研究生课程的教授。具有食品工程、预测微生物学、产品开发、废物回收、具有抗菌活性的精油封装、质量管理、精益理念和清洁生产方面的经验。
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引用次数: 0
A Risk Minimization Model for a Multi-Skilled, Multi-Mode Resource-Constrained Project Scheduling Problem with Discrete Time-Cost-Quality-Risk Trade-Off 离散时间-成本-质量-风险权衡的多技能、多模式资源约束项目调度问题风险最小化模型
4区 管理学 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-11-01 DOI: 10.1080/10429247.2023.2264161
Ronaldo V. Polancos, Rosemary R. Seva
AbstractA novel model called Multi-Skilled, Multi-Mode Resource-Constrained Project Scheduling Problem with Discrete Time-Cost-Quality-Risk Trade-Off (MS-MRCPSP-DTCQRTP) was formulated, focusing primarily on minimizing project risks. This integer programming-based model generates various schedules that aim to optimize time, cost, quality, and risk, either individually or by achieving a balanced combination of these factors. By allocating accessible resources to the tasks of the project and adhering to precedence and resource constraints dictated by availability and skills, a collection of viable schedules was generated. Using a uniform distribution for time, cost, quality, and risk, three project case studies were derived from existing literature and expanded upon. These case studies were then employed to showcase the model. To generate optimal solutions, an open-source Python-MIP package employing the branch-and-cut methodology was employed. It was found that time is not a factor in minimizing the risk of a project, except for large-scale projects. Meanwhile, cost is a factor in all sizes of the project. Quality has no significant impact on risk. Project managers must strike a balance between resources that contain skills set with short to medium duration, moderate to high cost, and moderate to high-quality level to minimize project risk.Keywords: Project SchedulingInteger ProgrammingRisk MinimizationTime-Cost-Quality-Risk Trade-OffEMJ Focus Areas: Decision MakingRisk ManagementProgramProject Management Disclosure StatementNo potential conflict of interest was reported by the author(s).Additional informationFundingDe La Salle University financially supported this work.Notes on contributorsRonaldo V. PolancosRonaldo V. Polancos is an Assistant Professor at De La Salle University (DLSU) – Department of Industrial and Systems Engineering. He obtained his Master of Science in Industrial Engineering from DLSU as a Department of Science and Technology scholar. He is a Microsoft Certified Technology Specialist for Microsoft Dynamics AX Distribution and Trade and has technical expertise in enterprise resource planning systems, customer relationship management, information systems, quality management, and project management.Rosemary R. SevaRosemary R. Seva is a University Fellow and a Professor at De La Salle University (DLSU) – Department of Industrial and Systems Engineering. She obtained her Doctor of Philosophy from Nanyang Technological University – NTU Singapore. She is the Co-Chair of the International Ergonomics Association (IEA) Science, Technology, and Practice Committee and the Chair of the IEA Technical Committee on Affective Design. Her area of expertise is in human factors and quality management.
摘要提出了一种新的多技能、多模式、资源约束、具有离散时间-成本-质量-风险权衡的项目调度问题模型(MS-MRCPSP-DTCQRTP),主要关注项目风险最小化问题。这个基于整数规划的模型生成各种旨在优化时间、成本、质量和风险的进度表,这些进度表可以单独使用,也可以通过实现这些因素的平衡组合。通过为项目任务分配可访问的资源,并遵守由可用性和技能决定的优先级和资源约束,生成了一组可行的时间表。使用时间、成本、质量和风险的统一分布,三个项目案例研究从现有的文献中得到并扩展。然后使用这些案例研究来展示模型。为了生成最优解,使用了一个采用分支-切断方法的开源Python-MIP包。研究发现,除了大型项目外,时间并不是最小化项目风险的一个因素。同时,无论项目规模大小,成本都是一个考虑因素。质量对风险没有显著影响。项目经理必须在包含短期到中等持续时间、中等到高成本、中等到高质量水平的技能集的资源之间取得平衡,以最小化项目风险。关键词:项目进度整型规划风险最小化时间-成本-质量-风险权衡重点领域:决策风险管理项目管理披露声明作者未报告潜在的利益冲突。德拉萨大学在财政上支持这项工作。c罗·v·波兰科斯是德拉萨大学(DLSU)工业与系统工程系的助理教授。他作为科学技术学者获得了DLSU工业工程硕士学位。他是Microsoft Dynamics AX Distribution and Trade的Microsoft认证技术专家,在企业资源规划系统、客户关系管理、信息系统、质量管理和项目管理方面拥有技术专长。Rosemary R. Seva是德拉萨大学(DLSU)工业与系统工程系的大学研究员和教授。她在新加坡南洋理工大学获得哲学博士学位。她是国际人体工程学协会(IEA)科学、技术和实践委员会的联合主席,也是IEA情感设计技术委员会的主席。她的专业领域是人为因素和质量管理。
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引用次数: 1
Determinants of Front-Line Supervisor Effectiveness in Engineering Team-Based Organizations 工程团队组织中一线主管效能的决定因素
4区 管理学 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-10-26 DOI: 10.1080/10429247.2023.2267938
Philani N. Zincume, Johannes L. Jooste, Eileen M. Van Aken
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引用次数: 0
Cross-Country Study of Corporate Social Responsibility and Sustainable Development in Various Industries 各行业企业社会责任与可持续发展的跨国研究
4区 管理学 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-10-20 DOI: 10.1080/10429247.2023.2264156
Anđelka Stojanović, Isidora Milošević, Sanela Arsić, Ivan Mihajlović
AbstractThere is a wide spectrum of industries and company-level features that influence the application of Corporate Social Responsibility to improve the business’s sustainability. This study aims to examine the understanding of the Corporate Social Responsibility concept and the impact of its implementation on sustainability in companies. Therefore, the research proposed and tested two scenarios where five industries sectors were ranked according to the importance (scenario 1) and implementation (scenario 2) of Corporate Social Responsibility activities. The integrated Entropy-TOSIS method to obtain results was employed. The research data were obtained from interviewing employees from Serbia, Russia, and Bulgaria working in various industries. The findings of this study revealed certain differences in perception and implementation of Corporate Social Responsibility depending on the country where the concept is applied as well as among the industries with their specific needs for sustainable development goals achieving. This research can be useful for engineering managers as a roadmap for reaching sustainable business while fulfilling economic, social, and environmental norms as well as stakeholder expectations.Keywords: Corporate Social ResponsibilitySustainabilityIndustriesCross-Country StudyEMJ Focus Areas: New Product DevelopmentOrganization Development & ChangeOrganization & Work System DesignOrganizational & Performance Assessment AcknowledgmentsThe research presented in this paper was done with the financial support of the Ministry of Education, Science and Technological Development of the Republic of Serbia, within the funding of the scientific research work at the University of Belgrade, Technical Faculty in Bor, according to the contract with registration number 451-03-47/2023-01/200131. Sandra Vasković, English Language Teacher, is responsible for the English language in the paper.Disclosure StatementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe work was supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia.Notes on contributorsAnđelka StojanovićAnđelka Stojanović PhD, is working at the Engineering Management Department, University of Belgrade, Technical Faculty in Bor, as assistant professor. Area of scientific knowledge: production management, decision- making theory, corporate social responsibility and application of statistical methods. She is author and co-author of many papers in international and national journals and conferences.Isidora MiloševićIsidora Milošević PhD, is working at the Engineering Management Department, University of Belgrade, Technical Faculty in Bor, as full professor. Area of scientific knowledge: strategic management, management of new technologies and innovation, Industry 4.0 and application of statistical methods. She is author and co-author of many papers in international and national journals and confer
摘要影响企业社会责任的应用以提高企业的可持续性的行业和公司层面的特征是广泛的。本研究旨在考察企业社会责任概念的理解及其实施对企业可持续发展的影响。因此,本研究提出并测试了两种情景,根据企业社会责任活动的重要性(情景1)和实施情况(情景2)对五个行业部门进行排名。采用熵熵-熵熵积分法计算结果。研究数据是通过采访塞尔维亚、俄罗斯和保加利亚各行各业的员工获得的。本研究的结果表明,在企业社会责任的认知和实施方面存在一定差异,这取决于该概念应用的国家以及实现可持续发展目标的特定需求的行业之间。这项研究可以作为工程经理实现可持续业务的路线图,同时满足经济、社会和环境规范以及利益相关者的期望。关键词:企业社会责任可持续性产业跨国研究重点领域新产品开发组织开发与变革组织与工作系统设计组织与绩效评估致谢本文所介绍的研究是在塞尔维亚共和国教育、科学和技术发展部的财政支持下完成的,在贝尔格莱德大学博尔技术学院的科研工作资助下,根据注册号码为451-03 / 47/2023-01/200131的合同。英语教师桑德拉·瓦斯科维奇负责论文中的英语语言。披露声明作者未报告潜在的利益冲突。这项工作得到了塞尔维亚共和国教育、科学和技术发展部的支持。contributorsAnđelka StojanovićAnđelka stojanovic博士,现就职于贝尔格莱德大学波尔技术学院工程管理系,任助理教授。科学知识领域:生产管理、决策理论、企业社会责任和统计方法的应用。她在国际和国内期刊和会议上发表了许多论文。伊西多拉MiloševićIsidora Milošević博士,现就职于贝尔格莱德大学博尔技术学院工程管理系,任正教授。科学知识领域:战略管理,新技术和创新管理,工业4.0和统计方法的应用。她在国际和国内期刊和会议上发表了许多论文。Sanela ArsićSanela arsiki博士,现就职于贝尔格莱德大学博尔技术学院工程管理系,副教授。科学知识领域:运筹学、运营管理、企业社会责任和定量方法。她在国际和国内期刊和会议上发表了许多论文。Ivan MihajlovićIvan mihajlovic博士,贝尔格莱德大学机械工程学院正教授。科学知识领域:生产管理,供应链管理物流,工业工程建模和优化以及统计方法的应用。他在国际和国内期刊和会议上发表了许多论文。
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引用次数: 0
Improvement of Manufacturing Process Based on Value Stream Mapping: A Case Study 基于价值流图的制造过程改进:一个案例研究
4区 管理学 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-10-17 DOI: 10.1080/10429247.2023.2265793
Chia-Nan Wang, Tran Thi Bich Chau Vo, Yu-Chi Chung, Yousef Amer, Linh Thi Truc Doan
AbstractValue Stream Mapping (VSM) is a key tool in Lean Manufacturing (LM) that helps identify opportunities for process improvement. This research aims to propose an integrated method using LM tools (such as Kanban, VSM, Pareto chart, and Supplier Input Process Output Customer) and Arena simulation to improve the productivity of the production line through reducing lead time, inventory time, including Raw Material (RM) time and Work In Progress (WIP) time and enhancing Process Cycle Efficiency (PCE) ratio. To begin the process, a Pareto chart is employed to identify the main product of the organization. Subsequently, a current VSM is constructed to identify any waste in the production line. The Kanban tool is then used to propose appropriate remedies to improve the manufacturing process. To validate the efficiency of the production capacity in future VSM, Arena simulation is executed by determining Takt Time. Lastly, a future VSM is formulated based on the suggested improvements, and an appraisal is conducted to provide recommendations for prospective enhancements. A real case study of a furniture company in Vietnam is performed to demonstrate the effectiveness of the proposed method. The results reveal impressive benefits, including a 92% reduction in lead time and a corresponding 92% increase in PCE. Additionally, there is a substantial reduction of around 90% in WIP time, while RM time is completely eliminated, resulting in a 100% reduction. These findings highlight the efficacy of the proposed approach and the importance of VSM and other Lean tools in achieving process optimization.Keywords: Current Value Stream MappingFuture Value Stream MappingLean ManufacturingKanban Toolinventory TimeEMJ Focus Areas: Continuous ImprovementOrganization & Work System DesignSystems EngineeringTechnology Management Disclosure StatementNo potential conflict of interest was reported by the author(s).Data Availability StatementAll data, models, and code generated or used during the study appear in the submitted articleAdditional informationNotes on contributorsChia-Nan WangChia-Nan Wang received the Ph.D. degree in industrial engineering and management from the Department of Industrial Engineering and Management, National Yang Ming Chiao Tung University, Hsinchu, Taiwan, in 2004. He is currently a Professor with the Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan. His research interests include production & operation research, decision analysis, management of technology, systematic innovation, smart manufacturing and business management.Tran Thi Bich Chau VoTran Thi Bich Chau Vo is a Ph.D. student from National Kaohsiung University of Science and Technology at the Department of Industrial Engineering and Management, Taiwan. She graduated an M.Sc in Industrial System Engineering at Ho Chi Minh City University of Technology (HCMUT), Vietnam, in 2015. Her research interests include co
摘要价值流映射(价值流图)是精益制造(LM)中的一个关键工具,它有助于识别过程改进的机会。本研究旨在提出一种整合LM工具(如看板、VSM、帕累托图、供应商输入过程输出客户)和Arena模拟的方法,通过减少交货时间、库存时间,包括原材料(RM)时间和在制品(WIP)时间,提高生产线的生产率,并提高过程循环效率(PCE)比率。为了开始这个过程,使用帕累托图来确定组织的主要产品。随后,构建当前的VSM来识别生产线上的任何浪费。然后使用看板工具提出适当的补救措施来改进制造过程。为了验证未来VSM生产能力的效率,通过确定节拍时间执行Arena模拟。最后,根据建议的改进制定未来的VSM,并进行评估以提供未来改进的建议。通过对越南一家家具公司的实际案例研究,证明了所提出方法的有效性。结果显示了令人印象印象的好处,包括交货时间减少92%,相应的PCE增加92%,此外,在制品时间大幅减少约90%,而RM时间完全消除,从而减少100%。这些发现突出了所提出的方法的有效性,以及VSM和其他精益工具在实现过程优化中的重要性。关键词:当前价值流图未来价值流图精益制造看板工具库存时间重点领域:持续改进组织与工作系统设计系统工程技术管理披露声明作者未报告潜在的利益冲突。数据可用性声明在研究过程中生成或使用的所有数据、模型和代码都出现在提交的文章中。附加信息贡献者说明王家南王家南于2004年获得台湾国立阳明交通大学工业工程与管理系工业工程与管理博士学位。他目前是台湾高雄国立高雄科技大学工业工程与管理系教授。主要研究方向为生产运筹学、决策分析、技术管理、系统创新、智能制造、企业管理。Tran Thi Bich Chau VoTran Thi Bich Chau Vo是台湾国立高雄科技大学工业工程与管理系的博士生。她于2015年毕业于越南胡志明市工业大学(HCMUT)工业系统工程硕士学位。她的研究兴趣包括精益制造实验、需求预测、库存预测、业务流程再造,尤其是智能制造。ChungYu-Chi于2007年获得台湾国立成功大学计算机科学与信息工程系博士学位。现任台湾国立高雄科技大学工业工程与管理系副教授。他的研究兴趣包括移动/无线数据管理、传感器网络、天际线查询处理、时空数据库、网络信息检索和机器学习。Yousef Amer是南澳大利亚大学工程学院的项目主任。他的研究兴趣包括基于仿真的精益六西格玛和六西格玛设计、人工智能、制造战略和技术、产品和服务开发的可持续性、精益和绿色供应链建模、优化和仿真、可持续纳米制造。他出版了许多书籍和学术论文,包括《国际生产经济学杂志》、《国际生产研究杂志》和《机器人与计算机集成制造》。Linh Thi Truc Doan女士于2006年获得化学工程学士学位,并于2010年获得台湾工业大学工业管理硕士学位。她于2020年在南澳大学完成了系统工程博士学位。她的兴趣包括优化、逆向供应链管理、项目管理和精益制造。
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引用次数: 0
The Mine Emergency Management Capability Based on EWM-CNN Comprehensive Evaluation 基于EWM-CNN综合评价的矿山应急管理能力研究
4区 管理学 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-10-13 DOI: 10.1080/10429247.2023.2264162
Longqing Shi, Song Fu, Jin Han, Tianhao Liu, Shaowei Zhan, Chuanchen Wang
AbstractBy establishing an evaluation system for emergency management capability for coal mine enterprises, the problems and shortfalls in coal mine emergency management can be identified. Moreover, this evaluation method holds promise in enhancing the ability to respond to emergencies in coal mines. The current research conducts both theoretical analysis and field research to determine and extract 26 factors that impact the emergency management capability of coal mining companies. The collected data is analyzed using SPSS version 24.0 and undergoes reliability and validity assessments. Subsequently, the entropy weight technique is utilized to determine the weight of individual evaluation system indices. As an effective evaluation tool, the trained convolutional neural network (CNN) model can accurately and effectively predict the satisfaction of the samples outside the training sample set, providing suggestions for improving coal mine emergency management. The trained model is employed to make empirical predictions and analyze the XY coal mine. The findings indicate that the overall emergency management capacity of the coal mine is II, which is at a good level. The evaluation results are consistent with the actual situation, and suggestions are provided for improving the emergency management ability of coal mines.Keywords: Coal MineEmergency Management CapacityEntropy WeightConvolutional Neural NetworksEvaluation Index SystemEMJ Focus Areas: Decision Making & Risk ManagementEngineering Management Profession Disclosure StatementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe work was supported by the National Natural Science Foundation of China [42002282].Notes on contributorsLongqing ShiLongqing Shi is a professor and Ph.D. supervisor in geological engineering at Shandong University of Science and Technology. He is a Chinese expert of the Siberian Branch of the Russian Academy of Natural Sciences, a national natural science foundation evaluator, a coal mine water control specialist, a director of the underground engineering branch of the rock mechanics and engineering society, and an author of six books, eight patents, and 142 papers (55 SCI/EI).Song FuSong Fu is pursuing for his PhD degree at Shandong University of Science and Technology. He has published two papers in international journals and also presented one papers in international conferences. His research interests are project governance mechanisms, project control and project performance.Jin HanJin Han, a professor and Ph.D. supervisor in embedded computer control, computer system architecture, and electronic circuits. She was a visiting scholar at the University of Southern California for a year from 2011 to 2012. She has led or joined nine research projects in the last five years, with three funded by the national natural science foundation and four by provincial and ministerial agencies. She has published 22 papers, two monographs, an
摘要通过建立煤矿企业应急管理能力评价体系,可以发现煤矿企业应急管理存在的问题和不足。该评价方法对提高煤矿应急响应能力具有重要意义。本研究采用理论分析和实地调研相结合的方法,确定并提取了影响煤矿企业应急管理能力的26个因素。收集的数据采用SPSS 24.0进行分析,并进行信度和效度评估。然后,利用熵权法确定评价体系各指标的权重。训练后的卷积神经网络(CNN)模型作为一种有效的评价工具,能够准确有效地预测训练样本集外样本的满意度,为改进煤矿应急管理提供建议。利用训练好的模型对XY煤矿进行了实证预测和分析。研究结果表明,该煤矿的整体应急管理能力为II,处于较好的水平。评价结果与实际情况一致,为提高煤矿应急管理能力提供了建议。关键词:煤矿应急管理能力熵权卷积神经网络评价指标体系重点领域:决策与风险管理工程管理职业披露声明作者未报告潜在利益冲突。本研究得到国家自然科学基金资助[42002282]。施隆庆,山东科技大学地质工程专业教授,博士生导师。俄罗斯自然科学院西伯利亚分院中国专家,国家自然科学基金评审人,煤矿水治理专家,岩石力学与工程学会地下工程分会主任,著有著作6部,专利8项,发表论文142篇(55篇SCI/EI)。宋福松在山东科技大学攻读博士学位。在国际期刊上发表论文2篇,在国际会议上发表论文1篇。主要研究方向为项目治理机制、项目控制和项目绩效。Jin Han,教授,博士生导师,主要研究方向为嵌入式计算机控制、计算机系统体系结构、电子电路。2011年至2012年在南加州大学做了一年的访问学者。近五年主持或参与科研项目9项,其中国家自然科学基金项目3项,省部级项目4项。发表论文22篇,专著2部,教科书2本。刘天豪,1994年生,中国山东人,2021年毕业于山东科技大学地质工程专业,获博士学位。主要从事地质灾害防治、水害防治、环境保护研究。曾在《燃料》、《能源与燃料》、《中国地球物理学报》等期刊上发表论文。曾获得山东大学、中国煤炭工业协会、中国安全生产协会颁发的奖项。詹少伟,毕业于山东科技大学矿业工程专业,获硕士学位。现任山东省济宁市小云煤矿矿长,在国际期刊上发表论文5篇。王传臣毕业于山东科技大学,获矿业工程学士学位。现为山东济宁小云煤矿工程师,在国际期刊上发表过一篇论文。
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引用次数: 0
An Integrated Interval Type-2 Fuzzy Set Model for Evaluating Circular Low Carbon Suppliers in a Developing Country 发展中国家循环低碳供应商评价的综合区间2型模糊集模型
4区 管理学 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-09-18 DOI: 10.1080/10429247.2023.2253691
Selçuk Perçin
AbstractIncreasing carbon emissions and environmental degradation have led to rapid depletion of resources. This requires circular low carbon (CLC) supply chains which extend the lifecycle of resources as much as possible. The aim of this study is to propose an integrated model for CLC supplier selection. First, economic, environmental and social responsibilities related to carbon management are identified. Then, DANP (Dematel-Analytic Network Process) and COPRAS (Complex Proportional Assessment) model with interval type-2 (IT-2) fuzzy sets are applied to evaluate the suppliers of a case energy company in Turkey. In this study, the ranking of dimensions from the most important to the least yielded the following order: environmental, social, and economic. In turn, carbon policy, carbon emission risks and low carbon supplier collaboration are found to be the most important environmental criteria. The current study has been used for the first time for a CLC supplier selection problem. Further, the study innovatively employs IT-2 fuzzy sets to better address differences and uncertainties that may come into play with a group of experts’ linguistic judgments. The validity of the proposed method is determined through sensitivity and comparative analysis.Keywords: Circular Low Carbon Supply ChainDANPCOPRASSupplier EvaluationInterval Type-2 Fuzzy SetsEMJ Focus Areas: Decision Making & Risk ManagementOperations ManagementSupply Chain ManagementSustainability Disclosure StatementNo potential conflict of interest was reported by the author.Author ContributionsAll work was conducted by a single author. The author prepared, read, and approved the manuscript.Availability of Data and MaterialsThe author confirms that the datasets used in the study are available within the article.Additional informationNotes on contributorsSelçuk PerçinSelçuk Perçin graduated from Yildiz Technical University with a degree in Industrial Engineering and obtained his Ph.D. in Business Administration from Ankara University. He currently serves as a Professor of Operations Management at Karadeniz Technical University in Trabzon, Turkey. His primary research interests focus on operations management, sustainability, and circular economy issues. His research contributions have been published in international, peer-reviewed journals. He also teaches courses on operations management and decision support systems.
摘要碳排放的增加和环境的恶化导致了资源的迅速枯竭。这需要循环低碳(CLC)供应链,尽可能延长资源的生命周期。本研究的目的是提出一个CLC供应商选择的整合模型。首先,确定与碳管理相关的经济、环境和社会责任。然后,应用区间2型(IT-2)模糊集的DANP (Dematel-Analytic Network Process)和COPRAS (Complex Proportional evaluation)模型对土耳其某案例能源公司的供应商进行了评价。在这项研究中,从最重要到最不重要的维度排名如下:环境,社会和经济。碳政策、碳排放风险和低碳供应商合作是最重要的环境标准。本研究首次应用于CLC供应商选择问题。此外,该研究创新地采用了IT-2模糊集,以更好地解决可能在一组专家的语言判断中发挥作用的差异和不确定性。通过灵敏度分析和对比分析,确定了该方法的有效性。关键词:循环低碳供应链供应商评价区间2型模糊集重点领域:决策与风险管理运营管理供应链管理可持续性披露声明作者未报告潜在利益冲突。作者贡献所有工作均由一位作者完成。作者准备、阅读并批准了手稿。数据和材料的可用性作者确认研究中使用的数据集在文章中是可用的。关于投稿人的说明seluk perin seluk perin毕业于耶尔迪兹技术大学,获得工业工程学位,并在安卡拉大学获得工商管理博士学位。他目前担任土耳其Trabzon Karadeniz Technical University的运营管理教授。主要研究方向为运营管理、可持续发展和循环经济问题。他的研究成果已发表在国际同行评审期刊上。他还教授运营管理和决策支持系统的课程。
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