Journal of Engineering Management and Systems Engineering最新文献

Journal of Engineering Management and Systems Engineering Pub Date : 2024-02-20 DOI: 10.56578/jemse030104

Mehwish Sarfraz, Dragan Pamučar

引用次数: 0

Optimization of the Plasma Arc Cutting Process Through Technological Forecasting 通过技术预测优化等离子弧切割工艺

Journal of Engineering Management and Systems Engineering Pub Date : 2024-02-01 DOI: 10.56578/jemse030103

Miloš Milovančević, K. Spasov, Abouzar Rahimi

引用次数: 0

Efficacy and Space Optimization in Industrial Warehouses: An Evaluation of Paternoster Continuous Vertical Conveyors 工业仓库的效率和空间优化：对 Paternoster 连续垂直输送机的评估

Journal of Engineering Management and Systems Engineering Pub Date : 2024-01-31 DOI: 10.56578/jemse030102

Saša Marković, Nikola Petrović, B. Nikolić, Jelena Mihajlović

引用次数: 0

Optimizing Path Planning for Smart Vehicles: A Comprehensive Review of Metaheuristic Algorithms 优化智能车辆的路径规划：元启发式算法综述

Journal of Engineering Management and Systems Engineering Pub Date : 2023-12-29 DOI: 10.56578/jemse020405

Osinachi Mbah, Q. Zeeshan

引用次数: 0

Enabling Legacy Lab-Scale Production Systems: A Digital Twin Approach at Széchenyi István University 使传统实验室规模的生产系统:数字孪生方法在szacei István大学

Journal of Engineering Management and Systems Engineering Pub Date : 2023-11-07 DOI: 10.56578/jemse020404

Gergő Dávid Monek, Norbert Szántó, Richárd Korpai, Szabolcs Kocsis Szürke, Szabolcs Fischer

{"title":"Enabling Legacy Lab-Scale Production Systems: A Digital Twin Approach at Széchenyi István University","authors":"Gergő Dávid Monek, Norbert Szántó, Richárd Korpai, Szabolcs Kocsis Szürke, Szabolcs Fischer","doi":"10.56578/jemse020404","DOIUrl":"https://doi.org/10.56578/jemse020404","url":null,"abstract":"The burgeoning importance of digitalization and cyber-physical manufacturing systems in the industrial sector is undeniable, yet discussions around viable solutions for small and medium-sized enterprises remain scant. These enterprises often face constraints in replacing extant machinery or implementing extensive IT upgrades, despite the availability of skilled engineering personnel. In response to this gap, an illustrative use case involving the application of Digital Twins (DT) to legacy systems is delineated, encompassing a detailed exploration of necessary hardware and software components, alongside pertinent considerations for implementation design. The establishment of a symbiotic relationship between the physical and digital realms is underscored as imperative, necessitating a granular understanding of the system to uncover opportunities and constraints for intervention. Such understanding is posited as a critical determinant of the DT's utility. This case study, situated within the Cyber-Physical Manufacturing Systems Laboratory at Széchenyi István University, serves to elucidate these principles and contribute to the discourse on smart manufacturing solutions for legacy systems.","PeriodicalId":233391,"journal":{"name":"Journal of Engineering Management and Systems Engineering","volume":"51 47","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135432094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Multi-Criteria Decision-Making Model for Pontoon Bridge Selection: An Application of the DIBR II-NWBM-FF MAIRCA Approach 浮桥选择的多准则决策模型:DIBR II-NWBM-FF MAIRCA方法的应用

Journal of Engineering Management and Systems Engineering Pub Date : 2023-10-20 DOI: 10.56578/jemse020403

Duško Tešić, Darko Božanić, Aleksandar Milić

{"title":"A Multi-Criteria Decision-Making Model for Pontoon Bridge Selection: An Application of the DIBR II-NWBM-FF MAIRCA Approach","authors":"Duško Tešić, Darko Božanić, Aleksandar Milić","doi":"10.56578/jemse020403","DOIUrl":"https://doi.org/10.56578/jemse020403","url":null,"abstract":"In military operations, the proficient overcoming of water barriers is paramount, with sub-optimal execution potentially leading to significant human and equipment casualties. In this context, global armed forces accord considerable emphasis to the selection of appropriate mechanisms for water obstacle overcoming. This study elucidates the adoption of a Multi-Criteria Decision-Making (MCDM) approach for the selection of optimal pontoon bridge sets for military applications. Criteria identification was undertaken by seven distinguished experts, leading to the determination of weight coefficients using the Defining Interrelationships Between Ranked criteria II (DIBR II) method. Expert assessments were subsequently aggregated utilizing the Normalized Weighted Bonferroni Mean (NWBM) operator. The Multi-Attributive Ideal-Real Comparative Analysis (MAIRCA) method, operationalized within the Fermatean Fuzzy (FF) environment, was harnessed for the discernment of the best alternative. An analysis of the sensitivity of the study's findings with respect to variations in criteria weighting, coupled with a comparative exploration, led to the inference that the proposed MCDM model boasts stability. However, it was noted that the model exhibits sensitivity to shifts in criteria weight coefficients, underscoring its utility as a valuable aid for decision-makers, especially in the domain of pontoon bridge set selection.","PeriodicalId":233391,"journal":{"name":"Journal of Engineering Management and Systems Engineering","volume":"9 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":"135616074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluating the Annual Operational Efficiency of Passenger and Freight Road Transport in Serbia Through Entropy and TOPSIS Methods 用熵和TOPSIS方法评价塞尔维亚公路客货运输年运营效率

Journal of Engineering Management and Systems Engineering Pub Date : 2023-10-11 DOI: 10.56578/jemse020402

Nikola Petrović, Tanja Živanović, Jelena Mihajlović

{"title":"Evaluating the Annual Operational Efficiency of Passenger and Freight Road Transport in Serbia Through Entropy and TOPSIS Methods","authors":"Nikola Petrović, Tanja Živanović, Jelena Mihajlović","doi":"10.56578/jemse020402","DOIUrl":"https://doi.org/10.56578/jemse020402","url":null,"abstract":"Road transport emerges as a crucial segment of the transportation system, demanding comprehensive analyses of operational performance across passenger and freight domains. This investigation delineates a meticulous multi-criteria analysis of Serbian passenger and freight road transport, relying on data extracted from the Annual Statistical Reports promulgated by the Statistical Office of the Republic of Serbia during 2015-2021. Initially, a compendium of eight pertinent criteria, namely carrying capacity, total number of passenger and tonne-kilometres, employee count, generating power, fuel consumption, and foreign currency receipts, is identified, with a subsequent emphasis placed on six criteria necessitating multi-criteria analysis, applicable cohesively to both passenger and freight transport sectors. Weighting coefficients for each criterion are calculated employing the entropy method, while a multi-criteria ranking of the operational performance of road transport is devised through the application of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The quintessence of this research lies in the execution of a novel multi-criteria analysis with an aspiration to architect a hierarchy regarding the operational performance within the scrutinised timeframe of road transport in Serbia.","PeriodicalId":233391,"journal":{"name":"Journal of Engineering Management and Systems Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136059813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Isogeometric Finite Element Analysis with Machine Learning Integration for Piezoelectric Laminated Shells 基于机器学习集成的压电层合壳等几何有限元分析

Journal of Engineering Management and Systems Engineering Pub Date : 2023-09-28 DOI: 10.56578/jemse020401

Žarko Ćojbašić, Nikola Ivačko, Dragan Marinković, Predrag Milić, Goran Petrović, Maša Milošević, Nemanja Marković

{"title":"Isogeometric Finite Element Analysis with Machine Learning Integration for Piezoelectric Laminated Shells","authors":"Žarko Ćojbašić, Nikola Ivačko, Dragan Marinković, Predrag Milić, Goran Petrović, Maša Milošević, Nemanja Marković","doi":"10.56578/jemse020401","DOIUrl":"https://doi.org/10.56578/jemse020401","url":null,"abstract":"Innovative lightweight smart structures incorporating piezoelectric material-based active elements, both as sensors and actuators, have been identified to present manifold advantages over traditional passive systems. Such structures have become intrinsically integrated into smart mechatronic systems, necessitating advanced design, testing, and control techniques. Real-time simulation of shell-type deformable objects, especially when employing the finite element method for non-linear analysis and control, has been challenging due to the extensive computational demand. Presented herein is an efficacious implementation leveraging machine learning with the isogeometric finite element formulation. This implementation focuses on shell-like smart mechatronic structures crafted from composite laminates comprising piezoelectric layers, which are characterised by electro-mechanical coupling. The foundation for the shell kinematics is derived from the Mindlin-Reissner assumptions, effectively incorporating transverse shear effects. While the inclusion of machine learning facilitates real-time efficient operations, the isogeometric finite element analysis (FEA) introduces pronounced advantages over conventional finite element method (FEM), also serving as a valuable source of offline data crucial for the training phases of machine learning algorithms. A piezo-laminated semicircular arch has been analysed to exemplify the effectiveness and performance of the presented methodology. Explorations into further machine learning techniques and intelligent control schemes are also contemplated.","PeriodicalId":233391,"journal":{"name":"Journal of Engineering Management and Systems Engineering","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135344937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Assessment of Risks in Oil and Gas Construction Projects in Pakistan: A Quantitative Approach Using Failure Modes & Effects Analysis 巴基斯坦油气建设项目风险评估:基于失效模式和影响分析的定量方法

Journal of Engineering Management and Systems Engineering Pub Date : 2023-09-05 DOI: 10.56578/jemse020305

Osama Durrani, Q. Zeeshan

{"title":"An Assessment of Risks in Oil and Gas Construction Projects in Pakistan: A Quantitative Approach Using Failure Modes & Effects Analysis","authors":"Osama Durrani, Q. Zeeshan","doi":"10.56578/jemse020305","DOIUrl":"https://doi.org/10.56578/jemse020305","url":null,"abstract":"Effective risk management remains pivotal to the success of any project, especially in the oil and gas industry. This study seeks to identify and quantify the potential risks in Oil and Gas Construction Projects (OGCP) within Pakistan. An exhaustive literature review is undertaken to elucidate various risk classifications and factors. Nine risk classifications emerge from this scrutiny: Health, Safety and Environment (HSE), political, legal, regulatory and bureaucratic, labor and human resources, logistics, economic and financial, technological and technical, and security and management. The novelty of this research lies in the adoption of a quantitative approach, a questionnaire rooted in Failure Modes and Effects Analysis (FMEA), asking respondents to quantify risk factors based on severity, occurrence, and detection. The results obtained from the modified FMEA questionnaire indicate that the highest average risks are associated with logistics, health, environment and safety, and legal, regulatory and bureaucratic factors. Meanwhile, political, human resource, management, and technical and technological factors register as the second-highest risks. Security risk records the least average Risk Priority Number (RPN). The most significant risk factors identified include the lack of a disaster management system, depletion of hydrocarbon resources, corruption, contractual breaches, delays in customs clearance, logistic provider complications, design flaws, technical limitations, and contractor incompetence. This research endeavors to provide academia and industry with expansive knowledge related to the risks inherent in these complex projects.","PeriodicalId":233391,"journal":{"name":"Journal of Engineering Management and Systems Engineering","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117043994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mitigating Construction Delays in Iran: An Empirical Evaluation of Building Information Modeling and Integrated Project Delivery 缓解伊朗建设延误:建筑信息模型与综合项目交付的实证评估

Journal of Engineering Management and Systems Engineering Pub Date : 2023-09-01 DOI: 10.56578/jemse020304

Milad Ghanbari, Dina Zolfaghari, Zohreh Yadegari

引用次数: 0