Engineering Management Journal最新文献

{"title":"Lean Office: Proposition and Application of a Process-Mapping Method Based on the Shingo Production Mechanism (SPM)","authors":"Tassiane Strassburguer, Fabiano de Lima Nunes, Ariel Peixoto Possebon, José Antonio Valle Antunes Jr (Junico Antunes), Cristine Hermann Nodari","doi":"10.1080/10429247.2023.2286881","DOIUrl":"https://doi.org/10.1080/10429247.2023.2286881","url":null,"abstract":"","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"31 21","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139010510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Managing Stakeholder Pressure for Megaproject Success and Green Innovation: The Key Role of Social Responsibility","authors":"Azhar Ali, Li Ma, Mohsin Shahzad, Shahid Hussain","doi":"10.1080/10429247.2023.2286177","DOIUrl":"https://doi.org/10.1080/10429247.2023.2286177","url":null,"abstract":"","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"24 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138591682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Engineering Management Education: Washington Accord Accreditation Programs","authors":"June Ho, Vik Kortian, Nazmul Huda, Ann Lee","doi":"10.1080/10429247.2023.2285657","DOIUrl":"https://doi.org/10.1080/10429247.2023.2285657","url":null,"abstract":"","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"33 22","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138602654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The New PAD: A Method to Implement the Lean Construction Principles","authors":"Marcelo Fabiano Costella, Analice Pinzon Balena, Isaac Brugnera Stefanello, Rubens Postali, Francieli Dalcanton","doi":"10.1080/10429247.2023.2270892","DOIUrl":"https://doi.org/10.1080/10429247.2023.2270892","url":null,"abstract":"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.","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"21 24","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135589815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Risk Minimization Model for a Multi-Skilled, Multi-Mode Resource-Constrained Project Scheduling Problem with Discrete Time-Cost-Quality-Risk Trade-Off","authors":"Ronaldo V. Polancos, Rosemary R. Seva","doi":"10.1080/10429247.2023.2264161","DOIUrl":"https://doi.org/10.1080/10429247.2023.2264161","url":null,"abstract":"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.","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"111 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135325836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determinants of Front-Line Supervisor Effectiveness in Engineering Team-Based Organizations","authors":"Philani N. Zincume, Johannes L. Jooste, Eileen M. Van Aken","doi":"10.1080/10429247.2023.2267938","DOIUrl":"https://doi.org/10.1080/10429247.2023.2267938","url":null,"abstract":"","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134909951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cross-Country Study of Corporate Social Responsibility and Sustainable Development in Various Industries","authors":"Anđelka Stojanović, Isidora Milošević, Sanela Arsić, Ivan Mihajlović","doi":"10.1080/10429247.2023.2264156","DOIUrl":"https://doi.org/10.1080/10429247.2023.2264156","url":null,"abstract":"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","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135567841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improvement of Manufacturing Process Based on Value Stream Mapping: A Case Study","authors":"Chia-Nan Wang, Tran Thi Bich Chau Vo, Yu-Chi Chung, Yousef Amer, Linh Thi Truc Doan","doi":"10.1080/10429247.2023.2265793","DOIUrl":"https://doi.org/10.1080/10429247.2023.2265793","url":null,"abstract":"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","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135994228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Mine Emergency Management Capability Based on EWM-CNN Comprehensive Evaluation","authors":"Longqing Shi, Song Fu, Jin Han, Tianhao Liu, Shaowei Zhan, Chuanchen Wang","doi":"10.1080/10429247.2023.2264162","DOIUrl":"https://doi.org/10.1080/10429247.2023.2264162","url":null,"abstract":"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","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135855518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Integrated Interval Type-2 Fuzzy Set Model for Evaluating Circular Low Carbon Suppliers in a Developing Country","authors":"Selçuk Perçin","doi":"10.1080/10429247.2023.2253691","DOIUrl":"https://doi.org/10.1080/10429247.2023.2253691","url":null,"abstract":"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.","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135148884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}