Engineering Management in Production and Services最新文献

{"title":"A Novel Data Mining Approach for Defect Detection in the Printed Circuit Board Manufacturing Process","authors":"Blanka Bártová, V. Bína","doi":"10.2478/emj-2022-0013","DOIUrl":"https://doi.org/10.2478/emj-2022-0013","url":null,"abstract":"Abstract This research aims to propose an effective model for the detection of defective Printed Circuit Boards (PCBs) in the output stage of the Surface-Mount Technology (SMT) line. The emphasis is placed on increasing the classification accuracy, reducing the algorithm training time, and a further improvement of the final product quality. This approach combines a feature extraction technique, the Principal Component Analysis (PCA), and a classification algorithm, the Support Vector Machine (SVM), with previously applied Automated Optical Inspection (AOI). Different types of SVM algorithms (linear, kernels and weighted) were tuned to get the best accuracy of the resulting algorithm for separating good-quality and defective products. A novel automated defect detection approach for the PCB manufacturing process is proposed. The data from the real PCB manufacturing process were used for this experimental study. The resulting PCALWSVM model achieved 100 % accuracy in the PCB defect detection task. This article proposes a potentially unique model for accurate defect detection in the PCB industry. A combination of PCA and LWSVM methods with AOI technology is an original and effective solution. The proposed model can be used in various manufacturing companies as a postprocessing step for an SMT line with AOI, either for accurate defect detection or for preventing false calls.","PeriodicalId":37237,"journal":{"name":"Engineering Management in Production and Services","volume":" ","pages":"13 - 25"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46833537","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}

{"title":"Dynamics of Pertinent Project Delay Variables in the Thai Construction Sector: Mathematical Analysis","authors":"B. Ajayi, T. Chinda","doi":"10.2478/emj-2022-0014","DOIUrl":"https://doi.org/10.2478/emj-2022-0014","url":null,"abstract":"Abstract Project completion behind schedule is a struggle for the construction sector, affecting time, cost, and quality. This investigation has been necessitated by the lingering nature of project delay risks despite many extant analyses. This study collated expert opinions from the Thai construction sector on salient construction delay variables and their influence on each other for DEMATEL-SD analysis. The collated data were analysed and found consistent with a Cronbach’s alpha of 0.939. Then, the DEMATEL technique was used to establish the influence weight of factors for the System dynamics (SD) analysis. It was discovered that minimising the design error at the preconstruction stage significantly reduces the magnitude of delay. Increasing values of design error and change order increase the rework profile. Besides, the project delivery within the scheduled 232 weeks can be ensured by minimising the threat of design error, design change, change order, rework, productivity problem, and by improving project management. This study adopted a hybrid mathematical system to holistically examine the construction delay risk by comprehensively exploring the dynamics of influencing variables and investigating their impact on the project scheme. The system helps project stakeholders to arrive at an effective decision in overcoming delay risks, thus minimising the cost overrun and improving the project quality.","PeriodicalId":37237,"journal":{"name":"Engineering Management in Production and Services","volume":"14 1","pages":"26 - 45"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43074311","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}

{"title":"Safety and Health at the Workplace in the Context of COVID-19: The Case of a Dental Clinic","authors":"Rūta Čiutienė, Ramunė Čiarnienė, Vaidas Gaidelys","doi":"10.2478/emj-2022-0019","DOIUrl":"https://doi.org/10.2478/emj-2022-0019","url":null,"abstract":"Abstract Governments of different countries and healthcare organisations working in various areas face enormous challenges when trying to combat the COVID-19 pandemic and protect employees, their families and communities. Workplaces can be high-risk environments in terms of the virus outbreak and transmission. This paper aims to disclose the ways for workplace safety improvement in dentistry in the context of COVID-19. The authors present the theoretical model of workplace safety improvement with regard to COVID-19 infection prevention and control measures. The expectations, fears and tasks of dental employees at their workplace in the context of the COVID-19 pandemic were investigated based on the systematic literature review and the qualitative empirical study conducted in Lithuania. The study disclosed that unmet employee expectations could lead to different kinds of fear; the most common sources of anxiety are linked to a higher risk of getting infected, a lack or misuse of protection measures and inadequately performed work. Occupational risks are closely related to the components of a workplace system. Therefore, it is important to apply a holistic approach to improve workplace safety, enhance work performance and minimise the negative effects on an employee, an organisation, a patient and a society.","PeriodicalId":37237,"journal":{"name":"Engineering Management in Production and Services","volume":"14 1","pages":"95 - 105"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48624723","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}

{"title":"Impact of the COVID-19 Pandemic Disruptions on Container Transport","authors":"K. Kuźmicz","doi":"10.2478/emj-2022-0020","DOIUrl":"https://doi.org/10.2478/emj-2022-0020","url":null,"abstract":"Abstract The COVID-19 pandemic caused unprecedented disruptions in the global economy, and container transport as a predominant means of the goods flow in global supply chains. Different measures employed worldwide to limit the virus spread, such as restrictions and quarantines on border crossings, port staff, container ships, transhipment terminals and the inland transport sector, created a colossal management challenge and caused a domino effect in delays. Consequently, it led to blank sailings and enormous rises in freight transport prices, the lack of supply reliability and shifts between different means of transport. These delays, enhanced by the Suez Canal blockage, exacerbated an already acute problem of the empty container shortage in the market. This paper aims to provide an in-depth overview of the COVID-19 pandemic’s impact on container transport and underline ways to increase resiliency against future disruptions. The research included a literature overview and formulation of recommendations. The paper contributes to the broad research of container transport management and provides insights for practitioners responsible for transport planning and disruption management.","PeriodicalId":37237,"journal":{"name":"Engineering Management in Production and Services","volume":"14 1","pages":"106 - 115"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43052624","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}

{"title":"Methods of Multi-Criteria Analysis in Technology Selection and Technology Assessment: A Systematic Literature Review","authors":"Justyna Kozłowska","doi":"10.2478/emj-2022-0021","DOIUrl":"https://doi.org/10.2478/emj-2022-0021","url":null,"abstract":"Abstract Technology assessment and selection problems have gained importance in recent decades as the used technology often determines the enterprises’ competitive advantage. Due to the extensive catalogue of criteria that should be considered and, on the other hand, the extensive catalogue of available technologies and solutions, the decision-making process of choosing a technology becomes a significant challenge for organisations and individuals. This study aims to identify the main research directions and trends in the scientific literature on applying multi-criteria analysis (MCA) in the context of technology assessment and/or technology selection. The author conducted a bibliometric analysis of publications indexed in the Web of Science and Scopus databases. The methodology of this study also included identifying the most productive authors, countries, organisations, and journals and analysing the occurrence and co-occurrence of terms. Final analyses included 380 publications retrieved from the Scopus database and 311 documents retrieved from the Web of Science repository. The analysis of the occurrence of terms and keywords allowed distinguishing two main research directions in using MCA methods in assessing and selecting industrial and health and medicine-related technologies. Some sub-areas have also been distinguished within these two areas: energy and renewable energy technologies, waste management, biomedical and medical technologies, and drug production technologies.","PeriodicalId":37237,"journal":{"name":"Engineering Management in Production and Services","volume":"14 1","pages":"116 - 137"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46116618","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}

{"title":"Turnover-Mitigating Effect of Servant Leadership on Job Performance","authors":"A. Bieńkowska, Anna Koszela, K. Ludwikowska, K. Tworek","doi":"10.2478/emj-2022-0017","DOIUrl":"https://doi.org/10.2478/emj-2022-0017","url":null,"abstract":"Abstract Job performance is an extremely complex factor affecting organisational performance. The literature recognises factors impacting job performance positively and negatively. This article aims to verify the turnover-mitigating effect on the relationship between servant leadership and job performance. The developed moderated mediation model is empirically verified based on the data collected from 263 managers working in Poland’s for-profit organisations. The results were analysed using Macro for IBM SPSS Statistics. It has been shown that employee turnover is a mediator in the job performance model based on turnover-mitigating servant leadership. Additionally, the influence of employees’ dynamic capabilities has been analysed. The study revealed the significance of servant leadership in influencing job performance and the disruptive relationship between employee turnover and the impact of employees’ dynamic capabilities in reducing employee turnover. This research provides practical implications for managers and organisations regarding selecting the right leadership style to improve employee job performance.","PeriodicalId":37237,"journal":{"name":"Engineering Management in Production and Services","volume":"14 1","pages":"67 - 81"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43923912","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}

{"title":"Long-term trend of electric vehicle sales in Thailand","authors":"T. Chinda","doi":"10.2478/emj-2022-0002","DOIUrl":"https://doi.org/10.2478/emj-2022-0002","url":null,"abstract":"Abstract This research study aims at examining the long-term trend of EV sales in Thailand, utilising the system dynamics (SD) modelling approach. This approach is commonly used to model complex systems with causal relationships among key factors within the system. The developed SD model consists of five key factors affecting electric vehicle (EV) sales, namely, the environment, economy, charging infrastructure, government support, and battery maintenance. The simulation results show the increase in EV sales by ten times in the next 20 years with implementation plans related to the five key factors. The government support factor is the most important in enhancing EV sales in the short term. Several government support plans should be initiated to attract more EV consumers, such as subsidies and tax reductions. The environment and charging infrastructure factors are crucial to increasing EV sales in the long term. The enforcement of the CO2 tax and the provision of charging stations all around the country should be established to achieve a sustainable EV market in the long term. This research study contributes to the Thai government and automotive industry to better understand the complex relationships among key factors affecting EV sales. The related sectors may use the study results to plan for EV campaigns to promote the use of EVs and achieve a sustainable EV market.","PeriodicalId":37237,"journal":{"name":"Engineering Management in Production and Services","volume":"14 1","pages":"13 - 25"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44514500","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}

{"title":"Order picking and loading-dock arrival punctuality performance indicators for supply chain management: A case study","authors":"Micaela Marzialia, D. Rossit, Adrián Toncovicha","doi":"10.2478/emj-2022-0003","DOIUrl":"https://doi.org/10.2478/emj-2022-0003","url":null,"abstract":"Abstract Supply chain activity control is an essential part of Supply Chain Management (SCM), ensuring compliance with customer requirements. This paper presents a case study into the control of SCM activities. The study analysed two areas involving two different SC links associated with order picking, and outsourced truck freights, respectively. The studied company had problems with these links. An approach based on developing a KPI (Key Performance Indicator) was proposed to address the issues. Consequently, different affected processes were analysed and characterised, considering the relevant data for defining a KPI. Then, strategies and methods were devised for data collection and processing regarding the system’s current state. Finally, tools were designed to facilitate the interpretation of the system’s current state and thus, pave the way for the decision-making process on corrective measures.","PeriodicalId":37237,"journal":{"name":"Engineering Management in Production and Services","volume":"14 1","pages":"26 - 37"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46956590","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}

{"title":"Understanding the adoption of autonomous vehicles in Thailand: an extended TAM approach","authors":"S. Ramjan, Purimprach Sangkaew","doi":"10.2478/emj-2022-0005","DOIUrl":"https://doi.org/10.2478/emj-2022-0005","url":null,"abstract":"Abstract Autonomous vehicles (AVs) are receiving attention in many countries, including Thailand. However, implementing an intelligent transport system has many challenges, such as safety and reliability and the lack of policy supporting such technology use, leading to hazards for passengers and pedestrians. Hence, factors affecting the adoption of autonomous vehicles require better understanding. This research proposes and employs an extended Technology Acceptance Model (TAM) by integrating ethical standards, legal concerns, and trust to predict the intended use of autonomous vehicles by Thai citizens. A total of 318 questionnaires were collected from online panel respondents. Research hypotheses were tested using a structural equation modelling approach. The study results suggest that ethical standards have a significant positive effect on the intention to use the technology. Meanwhile, the intention was negatively affected by perceived usefulness, perceived ease of use and legal concerns. On the other hand, the results indicate that perceived ease of use directly affected trust, leading to AV adoption. However, other factors influenced trust insignificantly. This study demonstrates the vital role of trust in AV adoption. The study also suggests ideas for further study and discusses the implications for the government and autonomous vehicle companies. The article aims to forecast a success factor that the Thai government should use to consider the policy for autonomous vehicle adoption in Thailand. This paper relies on the technology acceptance model to assess and forecast autonomous vehicle adoption. The theoretical model also includes ethical issues, legal concerns and trust in technology. The model was analysed using the structure equation modelling technique to confirm the factor affecting Thailand’s successful autonomous vehicle adoption. This research confirmed that ethical standards, legal concerns, and trust in technology are the factors significantly affecting the intention to use an autonomous vehicle in Thailand. On the other hand, the perceived ease of use significantly affects the trust in autonomous vehicle technology. This research found that such social factors as ethical standards, legal concerns, and trust in technology affect technology adoption significantly, especially technology related to AI operation. Therefore, the technology acceptance model could be modified to confirm technology adoption in terms of social factors. The government could use the research results to develop a public policy for the regulation and standard supporting autonomous vehicle adoption in Thailand.","PeriodicalId":37237,"journal":{"name":"Engineering Management in Production and Services","volume":"14 1","pages":"49 - 62"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43563487","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}

{"title":"Digital twin technology — awareness, implementation problems and benefits","authors":"M. Gulewicz","doi":"10.2478/emj-2022-0006","DOIUrl":"https://doi.org/10.2478/emj-2022-0006","url":null,"abstract":"Abstract Aiming to ensure current market needs, manufacturing companies search for tools and methodologies that would help them deliver their products efficiently and cost-effectively and enable them to become a part of Industry 4.0. Digital twins are a technology created based on the idea of the Fourth Industrial Revolution. The solution helps recreate physical devices in virtual space based on gathered data. It supports performance tests, configuration changes, and predictive maintenance without engaging existing machines. The paper aims to gain knowledge about the awareness level of the digital twin technology among industry representatives and identify the most important problems that stand in the way of implementing the technology in enterprises. The research focused on market awareness of the described technology. It also examined how companies use employee suggestions to improve their organisations and the factors that influence process efficiency. The methods used for the research were a literature review and cross-sectional survey conducted with 50 employees of manufacturing and IT companies. The research showed the need to implement digital twins in enterprises. Half of the survey respondents replied that the technology would help improve the efficiency of the company’s processes. The main benefit of the conducted research is identified awareness of the technology among industry representatives. In the future, the research will be extended to include the analysis of specific cases affecting the implementation of digital twins in enterprises.","PeriodicalId":37237,"journal":{"name":"Engineering Management in Production and Services","volume":"14 1","pages":"63 - 77"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48217874","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}