Engineering Management Research Articles

Research on the Integrated Course System of Engineering Management Based on OBE-CDIO

This article analyzes the current curriculum of engineering management and constructs an OBE-CDIO concept based on the demand for engineering management talents in society. Based on the OBE concept, the expected teaching output is expected, and the teaching curriculum system is designed in reverse. CDIO concept is used to guide the design and practical teaching of professional courses, in order to improve students' professional knowledge and comprehensive quality and meet the industry's required ability level.

Optimization of Facility Layout Problems Using Genetic Algorithm

The facility layout problem (FLP) is one of the most important classic industrial engineering and production management problems that have attracted the attention of many researchers over the last few decades. Poor production facility layout planning can result in additional operational costs; one of them is the cost of material handling. Although crucial, FLP is a challenging issue to resolve. A unique method is needed depending on the constraint, case study, and layout type. This research was conducted in order to improve the existing layout of PT. XYZ to minimize material handling costs. The layout type in this case is the Open-field layout problem (OFLP). A genetic algorithm is proposed to optimize the layout. The result is 18.1% material handling costs can be reduced.

SCShores: a comprehensive shoreline dataset of Spanish sandy beaches from a citizen-science monitoring programme

Abstract. Sandy beaches are ever-changing environments, as they experience constant reshaping due to the external forces of tides, waves, and winds. The shoreline position, which marks the boundary between water and sand, holds great significance in the fields of coastal geomorphology, coastal engineering, and coastal management. It is crucial to understand how beaches evolve over time, but high-resolution shoreline datasets are scarce, and establishing monitoring systems can be costly. To address this, we present a new dataset of the shorelines of five Spanish sandy beaches located in contrasting environments that is derived from the CoastSnap citizen-science shoreline monitoring programme. The use of citizen science within environmental projects is increasing, as it allows both community awareness and the collection of large amounts of data that are otherwise difficult to obtain. This dataset includes a total of 1721 individual shorelines composed of 3 m spaced points alongshore, accompanied by additional attributes, such as elevation value and acquisition date, allowing for easy comparisons. Our dataset offers a unique perspective on how citizen science can provide reliable datasets that are useful for management and geomorphological studies. The shoreline dataset, along with relevant metadata, is available at https://doi.org/10.5281/zenodo.8056415 (González-Villanueva et al., 2023b).

Teaching Effect Evaluation of Flipped Classroom in Engineering Management Colleges

Adapting traditional classroom teaching methods to students’ personalized learning styles and needs can be challenging, resulting in passive learning, low teaching quality, and insufficient support for students’ learning and development. The flipped classroom teaching model integrates information technology (IT) into education, enriches teaching approaches, and emphasizes a student-oriented concept. The flipped classroom can help students deeply understand the content by building upon shallow learning guided by effective teaching strategies. In turn, it facilitates the development of higher-order thinking skills and promotes students’ physical and mental well-being. In this study, five engineering management colleges in Henan Province, China, were surveyed using a questionnaire distributed during the fall semester of 2022–2023. The factors influencing the teaching effect of the flipped classroom were analyzed using a multivariate ordered logit model. Results demonstrated that the questionnaire had a reliability coefficient of 0.844, a KMO value of 0.788, and a Bartlett sphericity test with a corresponding P value of less than 0.01. Several factors, including gender (P = 0.054), self-study ability (P = 0.064), campus network (P = 0.000), teaching resources (P = 0.085), and classroom interaction (P = 0.036), significantly influence the teaching effect of the flipped classroom. The findings of this study provide valuable insights for enriching the teaching management theory of the flipped classroom, helping teachers enhance their management abilities in implementing the flipped classroom, and facilitating convenient teaching and learning experiences for both teachers and students in information technology.

Evaluation of Traffic Engineering Management in Semarang City CBD with the Contram Application

Evaluation of Traffic Engineering Management in Semarang City CBD with the Contram Application

Living without Beth and Craig: Definitions and Interpolants in Description and Modal Logics with Nominals and Role Inclusions

The Craig interpolation property (CIP) states that an interpolant for an implication exists iff it is valid. The projective Beth definability property (PBDP) states that an explicit definition exists iff a formula stating implicit definability is valid. Thus, the CIP and PBDP reduce potentially hard existence problems to entailment in the underlying logic. Description (and modal) logics with nominals and/or role inclusions do not enjoy the CIP nor the PBDP, but interpolants and explicit definitions have many applications, in particular in concept learning, ontology engineering, and ontology-based data management. In this article, we show that, even without Beth and Craig, the existence of interpolants and explicit definitions is decidable in description logics with nominals and/or role inclusions such as 𝒜ℒ𝒞𝒪, 𝒜ℒ𝒞ℋ, and 𝒜ℒ𝒞ℋ𝒪ℐ and corresponding hybrid modal logics. However, living without Beth and Craig makes these problems harder than entailment: the existence problems become 2ExpTime -complete in the presence of an ontology or the universal modality, and coNExpTime -complete otherwise. We also analyze explicit definition existence if all symbols (except the one that is defined) are admitted in the definition. In this case, the complexity depends on whether one considers individual or concept names. Finally, we consider the problem of computing interpolants and explicit definitions if they exist and turn the complexity upper bound proof into an algorithm computing them, at least for description logics with role inclusions.

Damage localization using acoustic emission sensors via convolutional neural network and continuous wavelet transform

Due to aging structures, deterioration is becoming an essential issue in the engineering and facility management industry. Especially for nuclear power plants, the deterioration of structures could be directly related to safety issues. One of the popular methods for localizing damage such as cracks in nuclear power plants in the early stage is using acoustic emission sensors. The conventional methods for localizing damage using the acoustic emission sensor include methods such as time of arrival, time difference of arrival, and received signal strength indicator measurements. However, the conventional methods have large errors especially when the material is not homogeneous, or the propagation path of signals is non-straight. In this study, we propose a new deep learning-based damage localization method using acoustic emission sensors to automate the damage localization process and improve accuracy. First, the signals from acoustic emission sensors were collected and transformed into time–frequency domain images using continuous wavelet transform. Next, the convolutional neural networks were designed to localize the damage using the continuous wavelet transform images as the input. Finally, the trained convolutional neural networks were used to estimate the location or coordinates of damages. To validate the performance of the proposed method, experimental tests were conducted in the concrete panel and cube with artificially generated damages. The results express that the proposed method is effective and progressive.

Assessment of emergency risk management and resilience engineering at management levels of a high hazard industry

The current study aimed to, firstly, assess the roles of crisis management systems, resilience engineering, and proactive risk management in emergency management of high-risk manufacturing industry and, secondly, to compute the relative contribution of each factor by the entropy approach. Data were collected using three questionnaires. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was administered to rank study alternatives, which include managers at different hierarchical levels encompassing senior managers, middle‐level managers, and operating-level managers. The results of the entropy method considering crisis management data suggested that human and organisational aspects had the highest impact on emergency management. The highest percentages of influence considering resilience engineering factors were associated with flexibility and management commitment to safety. Among proactive risk management dimensions, training and communication about safety and risks were the most influential dimensions. TOPSIS results demonstrated that there are some gaps in the emergency management system of the plant from the operating managers’ perspectives. This means that operating managers believed that the emergency management system and resilience level should be improved in the plant to enhance the levels of safety and emergency risk management of the industry.

Research on quality engineering management effectiveness improvement strategy of universities based on fuzzy clustering maximum tree algorithm

Abstract The “quality project” is an objective need to promote the comprehensive and coordinated development of higher education and cultivate high-quality talents. Based on the fuzzy clustering maximum tree algorithm, this paper first generates the maximum tree for a similar matrix and then clusters the maximum tree to find the clustering results. Then the idea of fuzzy clustering maximum tree algorithm is introduced into the management of “quality engineering” in Heilongjiang province colleges and universities, and the necessity of project management in the management of “quality engineering” in colleges and universities is analyzed, so that the knowledge related to project management can be applied in the construction of “quality engineering” in colleges and universities. “The results show that project quality management has a lot of advantages and disadvantages. The results show that there are problems such as weak awareness of quality management among all staff, unclear construction objectives and quality construction standards, and a lack of effective project monitoring and evaluation mechanism in project quality management. During the experimental period, the groundwater level was 0.4~0.7m below the surface, and the global risk level decreased from 5 to 3 along with the deep excavation of the foundation pit, and the risk probability of the foundation pit project became larger with time and finally stabilized at 60%. The research of this paper is helpful to improve the project management level of “quality engineering” in universities and promote the transformation of “quality engineering” results, which has certain practicality and guidance.

Innovation and exploration of construction project management based on BIM platform of big data

Abstract The study of BIM engineering management platforms based on big data is conducive to improving the status quo of traditional construction engineering and providing new ideas to realize the innovation of construction engineering project management. This paper takes construction engineering project management as the research object, based on the BIM platform of big data, and understands the current difficulties and key points of safety management by investigating and analyzing the status of construction engineering project management and BIM the application status of the platform. Secondly, we make full use of building information model data standards, including: IFC standards, IDM standards, and MVD standards, to analyze building information model data standards. Finally, the data establishment practice is carried out based on the foundation BIM construction model that satisfies the 300 LOD level for the model components. The results satisfy the consistency test, and the weight coefficients are considered to be reasonably assigned. According to the judgment matrix to calculate the weights, the matrix is normalized by column, and the weights of each index are obtained as 0.6377, 0.2580, 0.1034, 0.1790, 0.1130, respectively. This paper is based on big data BIM technology application and construction process safety management activities, which can realize the information management of the whole project construction, strengthen the benefits of construction project safety management, and provide collaboration of all parties to provide a favorable sharing platform.

A Review on the Prospects Engineering Management

Abstract: Engineering Management seems like a prime opportunity for students who have potent technical skills and wish to develop their abilities to enter the business world. This research paper explores the present trend in engineering management, highlighting the challenges encountered, opportunities for Engineering Management in the future, the benefits of attaining a master's degree, as well as other factors including competencies and skills. It aims to provide a solid framework for engineering graduates who wish to be engineering managers. It is motivated by thorough analysis, factual research, and useful case studies.

Dual hesitant fuzzy Correlation coefficient-based decision-making algorithm and its applications to Engineering Cost Management problems

Engineering management plays a significant part in project construction, and it is a process involved with making decision under uncertainty. When decision makers are hesitant to assess investment projects, fuzzy set theory offers an effective tool for dealing with uncertainty. In this paper, a decision-making method is put forward for handling engineering management problems, where dual hesitant fuzzy set is adopted to model the uncertainty. Firstly, we raise an improved dual hesitant fuzzy correlation coefficient and its weighted form. Compared with the current dual hesitant fuzzy correlation coefficients, the presented one has more desirable properties. It not only can manifest the positive or negative correlation between dual hesitant fuzzy sets, but also can guarantee the dual hesitant fuzzy correlation coefficient is 1 (−1) if and only if the two dual hesitant fuzzy sets are identical (complementary). Secondly, a mathematical programming model, which integrates within-attribute and between-attribute variation information, is designed to derive the attribute weights. More importantly, it can fully utilize the decision information. Finally, the weighted correlation coefficients are calculated, and an illustrative example concerning engineering management is offered to demonstrate the rationality of the proposed technique.

Application of improved multi objective particle swarm optimization and harmony search in highway engineering

Highway engineering construction is a complex multi-objective management project, and the traditional multi-objective task management approach has been difficult to cope with the uniqueness of highway engineering construction management. In order to improve the efficiency of multi-objective management in highway engineering, the study proposes to construct a multi-objective management model using particle swarm and harmony search algorithms for highway engineering management. First of all, the study first explores the management indexes in highway engineering, and constructs the functional relationship according to the selected indexes. Then the particle swarm algorithm is used to optimize the database of the harmonic search algorithm, and the harmony search algorithm can be based on the optimized database to find the optimal solution for objective management. The experimental results show that the improved particle swarm and harmony search algorithm has good distribution and convergence. After the optimization of the proposed model, the multi-objective highway project management scheme is 39% ahead of schedule, 17% savings in input funds, and 2.56% and 3.56% improvement in highway quality indexes and ecological environment management indexes, respectively, compared with the original scheme. Therefore, the model has a good application prospect to formulate the optimal multi-objective management scheme with excellent performance to improve the management efficiency of highway engineering.

Artificial Intelligence and its Application in Today's Marketing Context

Artificial Intelligence (AI) has emerged as a transformative influence in the realm of marketing, reshaping approaches, and strategies across various sectors. This research study delves into the myriad applications of AI in contemporary marketing, with a specific focus on its influence on customer engagement, data analysis, customization, and the promising prospects it presents for marketing practitioners. The paper relies on secondary data resources to furnish a comprehensive overview of the present state of AI in marketing, drawing from articles in respected publications such as the International Journal of Management Science and Engineering Management, among others. The results underscore AI's pivotal role for modern marketers, providing inventive solutions that amplify efficiency, efficacy, and customer contentment.

Örgütsel Çeviklik Çalışmalarının Görsel Haritalama Tekniği ile Bibliyometrik Analizi

Although the concept of organizational agility has received a great deal of attention in academic studies in recent years, research examining the evolutionary development of the concept to provide an in-depth insight into the topic is limited. To address this research gap, the current study attempts to synthesize the academic literature on organizational agility, understand the evolution of the literature, and identify potential research gaps that will help to establish different research routes. For this purpose, academic literature published in peer-reviewed journals was examined using a bibliometric analysis approach to map the intellectual structure of 293 articles published on organizational agility between 2001 and 2023. The findings outline the evolutionary trend of the organizational agility field, the most prolific authors, journals, institutions and countries. Accordingly, the most cited study in the field is "Dynamic Capabilities and Organizational Agility: Risk, Uncertainty, and Strategy in the Innovation Economy" by Teece, D., Peteraf, M., & Leih, S. (2016). In addition, the most cited journal in the field is MIS Quarterly: Management Information Systems Quarterly (1558 citations), while the journals with the highest number of publications in the field are Journal Of Business Research (10 articles) and IEEE Transactions on Engineering Management (10 articles). The study is based on the literature obtained from the Scopus database. It is thought that the research will pave the way for future research as a useful guide for academics and practitioners who want to have information about organizational agility literature. Keywords: Organizational agility, bibliometric analysis, visual mapping, network analysis, VOSviewer. Jel codes: D20, D23, L20, L21

Systems engineering and water resources management: A closer relationship is needed

AbstractSystems engineering can be applied in a broad spectrum of sectors, but only its analysis tool has been applied in the field of water resources management. Because systems engineering has a separate community of practice from water resources, there is little crosstalk between the two fields. As a result, the systems engineering functions that support planning, design, production, procurement, and customer support are not being applied to water systems. Meanwhile, water systems exhibit complexities that have generated a separate field named Integrated Water Resources Management that continues to confuse its followers after several decades. Its methods are applied to a broad spectrum of water issues that affect multiple stakeholders with conflicting interests and involve distinct subsystems, such as water supply or hydropower, as well as combinations of them. Use of systems analysis for such water issues began six decades ago, but it is still a work in progress. Evolving methods of systems engineering offer new possibilities to address problems of water resources management, but they must extend beyond systems analysis, which belongs to multiple disciplines. Examples show possibilities to apply systems engineering methods when water issues exhibit attributes of engineered systems and do not involve social and environmental complexities that cannot be included in system boundaries. Collaboration among systems engineering and water resources management would offer a fertile test bed to advance both fields.

A Bionic Skin for Health Management: Excellent Breathability, In Situ Sensing, and Big Data Analysis.

Developing an intelligent wearable system is of great significance to human health management. An ideal health-monitoring patch should possess key characteristics such as high air permeability, moisture-wicking function, high sensitivity, and a comfortable user experience. However, such a patch that encompasses all these functions is rarely reported. Herein, an intelligent bionic skin patch for health management is developed by integrating bionic structures, nano-welding technology, flexible circuit design, multifunctional sensing functions, and big data analysis using advanced electrospinning technology. By controlling the preparation of nanofibers and constructing bionic secondary structures, the resulting nanofiber membrane closely resembles human skin, exhibiting excellent air/moisture permeability, and one-side sweat-wicking properties. Additionally, the bionic patch is endowed with a high-precision signal acquisition capabilities for sweat metabolites, including glucose, lactic acid, and pH; skin temperature, skin impedance, and electromyographic signals can be precisely measured through the in situ sensing electrodes and flexible circuit design. The achieved intelligent bionic skin patch holds great potential for applications in health management systems and rehabilitation engineering management. The design of the smart bionic patch not only provides high practical value for health management but also has great theoretical value for the development of the new generation of wearable electronic devices.

การรับรู้การใช้ผลคะแนน The Test of English for International Communication ก่อนเข้าศึกษาและก่อนลงทะเบียนรายวิชาสหกิจศึกษาของนักศึกษาสถาบันการบินพลเรือน

This research was carried out in order to investigate the perceptions of Civil Aviation Training Center (CATC) students about the use of the Test of English for International Communication (TOEIC) results before studying at CATC and before co-operative education enrollment. The objective of this research was to study the perception of using TOEIC results before studying and before cooperative education enrollment and the factors that affected the perception of learning English for the Test of English for International Communication (TOEIC) and study the development of their English language skills for TOEIC preparation in order to propose guidelines for the development of English learning to the TOEIC test by studying and collecting data from 378 participants of 1st and 3rd year undergraduate students of CATC, Bachelor of Technology in Aviation Program in Aviation Management and Bachelor of Engineering in the academic year 2019 by using questionnaires and a random interview of 68 students. The results showed that most respondents get 405-600 English TOEIC score or Elementary Proficiency Plus level. Students were aware that CATC has clearly publicized that TOEIC result would be used for consideration before enrolling and before joining cooperative education. They realized that TOEIC was the one of a reliable and useful English language proficiency assessment. Regarding self-test preparation, it was found that most of the students were good self-learners by being aware that it must be well prepared before the test. They set their own goals in the test and also prepared their own materials used in test preparation. In the analysis of one's own ability, students knew their weaknesses and were able to improve themselves. Students realized that they would receive a higher score after their good preparation. And we also found that the helps and advices from lecturers would make students felt more confident during the TOEIC preparation process.

Planning climate change adaptation in small and medium-sized towns – Results of preliminary research in southern Wielkopolska region

Urban adaptation to climate change is necessary. However, this process occurs mainly in big cities. In less populated areas, climate change adaptation actions are conducted and investigated less frequently.The goal of the study was to examine whether and what type of climate adaptation actions are planned in small and medium-size towns and whether town size is related to the advancement of adaptation planning. The research was carried out in 5 differently sized towns in southern Wielkopolska Region: Żerków, Koźmin Wielkopolski, Pleszew, Jarocin, and Ostrów Wielkopolski. The analysed materials were the minutes of town council sessions in 2017–2021 and the resolutions adopted by town councils. The resolutions were analysed in terms of reference to pro-climate actions. It was found that climate-related topics were addressed by 4-6% of the resolutions adopted by town councils. In most cases, the planned actions were related to the following sectors: transport, power engineering, and water management. The study found a link between town size and the number of documents addressing pro-climate actions.

A Comparative Analysis of Regression Models for Software Effort Estimation

Software Effort Estimation is the utmost task in software engineering and project management. This is important to estimate cost properly and the number of people required for a project to be developed. Many techniques have been used to estimate cost, time, schedule and required manpower for software development industries. Nowadays software is developed in a more complex way and its success depends on efficient estimation techniques. In this research, we have compared five regression algorithms on different projects to estimate software effort. The main advantage of these models is they can be used in the early stages of the software life cycle and that can be helpful to project managers to conduct effort estimation efficiently before starting the project. It avoids project overestimation and late delivery. Software size, productivity, complexity and requirement stability are the input vectors for these regression models. The estimated efforts have been calculated using Ridge Regression, Lasso Regression, Elastic Net, Random Forest and Support Vector Regression. We have compared unitedly these models for the first time as software effort estimators. R-squared Score, Mean Squared Error (MSE) and Mean Absolute Error (MAE) are calculated for these regression models. Ridge, Lasso and Elastic Net show comparatively better results among others.