Engineering Management Research Articles

Designing a decomposition-based multi-phase pre-processing strategy coupled with EDBi-LSTM deep learning approach for sediment load forecasting

Forecasting accurately suspended sediment load (SSL) in the basin is one of the most critical issues for river engineering, environment, and water resources management which effectively reduces flood damages. In this study, a new multi-criteria hybrid expert system comprised of empirical wavelet decomposition (EWT) integrated with Encoder-Decoder Bidirectional long short-term memory (EDBi-LSTM), supported by five feature selection (FS) methods was developed for the first time to forecast daily SSL at two study sites (Bamini and Ashti) of Godavari river basin, India. The employed FS schemes are including Boruta-Random forest (BRF), simulated annealing (SA), Relief algorithm, Ridge regression (RR), and Mutual information (MI) where the BRF coupled with EWT and EDBi-LSTM (i.e., EWT-EDBi-LSTM-Boruta) is identified as the main forecasting paradigm. Here the original SSL signals in the monsoon season (2001–2015) as the only input information were considered to forecast SSL events at a daily time scale in both study zones. The SSL signals were decomposed using the EWT technique considering the significant antecedent time-lagged inputs based on partial auto-correlation function (PACF). In the next stage, five FS strategies were addressed to specify the significant sub-sequences to reduce computational cost and enhance forecasting accuracy. Besides, the extreme gradient boosting (XGB) approach was implemented to compare the potential of the hybrid EDBi-LSTM and standalone counterpart models for both study sites. According to several goodness-of-fit indices and validation tools, the outcomes at the Bamini and Ashti sites demonstrated that the EWT-EDBi-LSTM-Boruta as the main model, achieved the best accuracy, followed by EWT-XGB-Boruta, EWT-EDBi-LSTM-SA, and EWT-XGB-SA, respectively. Comparing all the hybrid models showed that the BRF, SA, and RR strategies performed better in integration with machine learning (ML) models.

Heat transfer analysis of a hybrid nanofluid flow on a rotating disk considering thermal radiation effects

This study investigates heat transfer in a hybrid nanofluid that flows due to a rotating disk. The nanofluid contains copper and dioxide nanoparticles in water and is affected by a constant magnetic field. The study accounts for heat generation/absorption and thermal radiation and solves the governing equations using similarity transformations and the Shooting Method. The research reveals that the higher nanoparticle concentration in a fluid result in increased radial and azimuthal velocities due to improved convective heat transfer. This leads to higher fluid velocity and lower local skin friction coefficient. Heat generation/absorption and thermal radiation have a strong influence on the heat transfer process. Higher nanoparticle concentration, variable thermal conductivity parameter, and radiation parameter cause an increase in the temperature of the hybrid nanofluid. The local Nusselt number increases with an increase in the variable thermal conductivity parameter but decreases with nanoparticle concentration while increases with the thermal radiation parameter. Results from a special case analysis, which excluded certain parameters, closely agree with previous studies, confirming the validity of the solution. These findings can be useful in understanding heat transfer in similar scenarios, especially in energy engineering and thermal management.

Sustainability and interactive network branding in fast‐changing business environments

Sustainability and interactive network branding in fast‐changing business environments

Enhanced CO2 mineralization and selective critical metal extraction from olivine and laterites

CO2 mineralization is a significant method for effective CO2 emission control because of formation of stable carbonate products and the availability of abundant mineral resources. The economic concern of the direct aqueous CO2 mineralization prevents the application to global warming mitigation. This work discovers that the CO2 mineralization of olivine can be significantly enhanced by using nitriloacetate (NTA) salt due to the competitive complexation and extraction of nickel and cobalt versus carbonate precipitation. The highly selective critical metal extraction can be also achieved and even considerably enhanced by using NTA compared to using ethylenediaminetetraacetate (EDTA) salt. Nearly 90% CO2 mineralization, nickel and cobalt extraction can be achieved and is suitable for both nickel-poor olivine and nickel-rich saprolite and limonite laterites. The recovery of nickel and cobalt makes the CO2 mineralization process favourable in both economics and technical outcome. The enhanced CO2 mineralization process can potentially earn $29, $557, and $221 net benefits for each t olivine, saprolite, and limonite, respectively. The success of the CO2 mineralization in technical and economic feasibility can potentially make the CO2 mineralization widely applicable and can make significant contributions to sustainable minerals engineering and resources management, and enhanced supply of critical metals and CO2 storage.

Engineering Curriculum Reform Based on Outcome-Based Education and Five-Color Psychology Theory

Innovation in curriculum design at the system level is crucial for nurturing students’ sustainability skills. This study focuses on the teaching reform of a hydraulic engineering construction and management course, taking a sustainable development perspective and achieving a harmonious integration of knowledge acquisition and skill development. A “One Center, Two Platforms, and Three Education” teaching model is devised, incorporating outcome-based education and five-color psychological theory. This model encompasses a student-centered approach, leveraging the Chaoxing platform and a virtual simulation experiment platform while addressing theoretical, practical, and ideological-political education. The study participants consisted of water and hydropower engineering students at the School of Energy and Power Engineering, Xihua University. This teaching model not only enhances students’ learning motivation but also elevates their academic performance. Moreover, the model has yielded notable improvements in students’ overall quality, independent learning abilities, and innovation aptitude. The effectiveness of this teaching model in engineering courses has garnered positive feedback from both graduates and employers, who acknowledge its contribution to enhancing teaching quality and promoting sustainable development in engineering education. Furthermore, this model can serve as a reference for enhancing college education and fostering students’ abilities and ethical standards.

Preface

It is a great honor and pleasure to present the proceeding of the 10th International Seminar on Ocean and Coastal Engineering, Environmental and Natural Disaster Management (ISOCEEN). Our coastal, ocean, and offshore activities and products must adopt more innovative thoughts and efforts to ensure that we achieve sustainable development goals. Through this seminar, engineers and scientists whose activities are related to research and solving problems in the coastal, marine, maritime, hydrodynamics, oil, and gas are expected to develop science and technology in Coastal, Ocean, and Offshore Engineering in an integrated manner.Started by the third vice-chancellor of Institut Teknologi Sepuluh Nopember, Dr.Eng. Ir. Ahmad Rusdiansyah, M.Eng. The event brings the theme Integrated Sustainable Innovative Approaches for Science and Technology on Coastal, Ocean, and Offshore Engineering. Different perspectives are addressed by keynote speakers:• Dr.Eng. Hitoshi Tanaka from Tohoku University, Japan,• Assoc. Prof. Dr. Alvaro Semedo, from IHE-Unesco Delft, Netherlands• Assoc. Prof. Ahmad Sana, Ph.D., Sultan Qaboos University, Oman• Ir. I Gede Dian Aryana, M.T. from SKK Migas.With contributions from over 100 participants and over 40 accepted papers, the seminar was successfully conducted in Swissbel Hotel Manyar, Surabaya, Indonesia, on November 29th, 2022. Selected papers presented in ISOCEEN 2020 will be published in The IOP Conference Series: Earth and Environmental Science (ESS) indexed in SCOPUS.On behalf of the organizing committee of ISOCEEN 2022, I would like to warmly thank all the authors who, with their presentations, generously contributed to the lively exchange of scientific information that is so vital to the endurance of scientific conferences of this kind. Special thanks to all committees for their efforts in preparing the manuscripts and managing the sessions, respectively. Also, all lecturers within ITS, Contributing Authors, Seminar delegates, experts, scholars, and all students participate in ISOCEEN 2022.Best regards,Prof. Suntoyo, S.T, M.Eng., Ph.D.ChairmanList of Editors, Committee are avilable in the pdf.

Peer Review Declaration

The 10th International Seminar on Ocean, Coastal Engineering, Environmental and Natural Disaster Management (ISOCEEN 2022) All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing.Type of peer review: Single anonymousConference submission management system: MorressierNumber of paper submissions received: 58 papersNumber of submissions sent for review: 44 papersNumber of submissions accepted: 36 papersAcceptance Rate (Submissions Accepted/ Submissions Received × 100): 62.0%Average number of reviews per paper: 1Total number of reviewers involved: 7 reviewersContact person for queries: Dr. Dendy Satrio, S.ST.Institut Teknologi Sepuluh Nopember (ITS)Email: dendy.satrio@its.ac.id

IEEE - Technology and Engineering Management Society

IEEE - Technology and Engineering Management Society

A review in rational design of graphene toward advanced Li–S batteries

For lithium–sulfur (Li–S) batteries, the problems of polysulfides shuttle effect, slow dynamics of sulfur species and growth of lithium dendrite during charge/discharge processes have greatly impeded its practical development. Of core importance to advance the performances of Li–S batteries lies in the selection and design of novel materials with strong polysulfides adsorption ability and enhanced redox electrocatalytic behavior. Graphene, affording high electrical conductivity, superior carrier mobility, and large surface area, has presented great potentials in improving the performances of Li–S cells. However, the properties of intrinsic graphene are far enough to achieve the multiple management toward electrochemical catalysis of energy storage systems. In addition, a general and objective understanding of its role in Li–S systems is still lacking. Along this line, we summarize the design routes from three aspects, including defect engineering, dimension adjustment, and heterostructure modulation, to perfect the graphene properties. Thus-synthesized graphene materials are explored as multifunctional electrocatalysts targeting high-efficiency and long-lifespan Li–S batteries, based on which the regulating role of graphene is comprehensively analyzed. This project provides a perspective on the effective engineering management of graphene materials to boost Li–S chemistry, meanwhile promote the practical application process for graphene materials.

Geometry and Topology Reconstruction of BIM Wall Objects from Photogrammetric Meshes and Laser Point Clouds

As the foundation for digitalization, building information modeling (BIM) technology has been widely used in the field of architecture, engineering, construction, and facility management (AEC/FM). Unmanned aerial vehicle (UAV) oblique photogrammetry and laser scanning have become increasingly popular data acquisition techniques for surveying buildings and providing original data for BIM modeling. However, the geometric and topological reconstruction of solid walls, which are among the most important architectural structures in BIM, is still a challenging undertaking. Due to noise and missing data in 3D point clouds, current research mostly focuses on segmenting wall planar surfaces from unstructured 3D point clouds and fitting the plane parameters without considering the thickness or 3D shape of the wall. Point clouds acquired only from the indoor space are insufficient for modeling exterior walls. It is also important to maintain the topological relationships between wall objects to meet the needs of complex BIM modeling. Therefore, in this study, a geometry and topology modeling method is proposed for solid walls in BIM based on photogrammetric meshes and laser point clouds. The method uses a kinetic space-partitioning algorithm to generate the building footprint and indoor floor plan. It classifies interior and exterior wall segments and infers parallel line segments to extract wall centerlines. The topological relationships are reconstructed and maintained to build wall objects with consistency. Experimental results on two datasets, including both photogrammetric meshes and indoor laser point clouds, exhibit more than 90% completeness and correctness, as well as centimeter-level accuracy of the wall surfaces.

Characteristics, causes, and consequences of technical debt in the automation domain

Technical Debt (TD) is a significant concern in software development, particularly when interdisciplinary teams collaborate and interact. The goal of the study is to investigate TD causal chains and patterns in the industrial automation sector by analyzing 123 mechatronic TD incidents from 47 expert interviews across ten companies. Findings reveal that Requirements, Process, and Test TD are most common, while Build, Versioning, Manufacturing, Code, and Maintenance/Service TD are less frequent. Key causes include ”other priorities”, ”lack of time”, ”historically grown products”, ”lack of market analysis” and ”copy-paste-modify without revising tolerances.” The research identifies correlations between TD subtypes and causes/consequences in relation to company size, experts’ experience, and position, utilizing the Chi-square test and PrefixSpan algorithm. The study also maps the contagious character of TD using Neo4J graphical representation. This first in-depth analysis of TD causal chains in industrial automation contributes qualitatively to understanding TD patterns, helping researchers and practitioners assess TD contagiousness, comprehend its effects, prevent diffusion, and develop repayment strategies To the best of our knowledge, this study’s quantitative analysis approach provides the foundation that will enable future research identifying TD metrics and TD management in multidisciplinary engineering.

The Prospect of drone applications

As drones technology matures, it will be used in more and more applications in multiple fields. This paper focuses on the evaluation of the prospects for the application of drones. The evaluation is based on three criteria: the environment, engineering, and disaster management. Through analysis, this paper shows that drones have unique advantages in these three areas. Given the use of ground-based sensors for air and water quality testing, drones have a great positive effect on environmental management. It can also be used for large-scale engineering project management and disaster tracking with its HD video and numerous high-resolution aerial photos. However, drones need improved regulatory controls to address risks to safety, privacy, and security. Overall, this article describes the status of drone applications, which will become more popular with the enhancement of the regulatory environment.

Examining Risk Management Failures: The Case of the Boeing 737 MAX Program

The loss of two Boeing 737 MAX aircraft, their 346 passengers and crew in 2018 and 2019 stunned the aerospace community and the flying public. There is a natural inclination after an aviation mishap to ask, “What if…?” What if latent design flaws in the system had been found earlier? What if the aircrew had taken different steps in handling the non-normal events? What if the B-737 MAX certification by the Federal Aviation Administration (FAA) had been handled more rigorously? This paper will re-examine the antecedent events leading up to the mishaps through a counterfactual lens to envision how the two tragedies could have been avoided. Throughout the paper observations based on our combined 120+ years of aerospace, engineering and risk management experience will be offered to readers.

Research on Construction Engineering Management Integrating Multi-Channel Information

Research on Construction Engineering Management Integrating Multi-Channel Information

Improving the Performance of a SME in the Cutlery Sector Using Lean Thinking and Digital Transformation

The main purpose of this paper is to show that if three specific contextual factors are present in a company, it is possible to achieve great performance improvements with a lean and industry 4.0 implementation. In terms of research methods, a case study was carried out of a project to implement digitalization and Lean practices in a cutlery company, which in fact encompassed a project of master’s degree in engineering and industrial management. Thus, the research question is: “It is possible to achieve major improvements in a lean and industry 4.0 implementation if three specific contextual factors are present in the company, namely (i) commitment of top management, (ii) knowledge on digitalization and lean, and (iii) very low Value-Added Ratio?”. Regarding the company project, action-research was adopted, and the project team began by mapping and diagnosing the production processes of the two product families (knives and spoons/forks). High levels of work in process, long throughput times, poor flow planning and control, and high stocks of finished products, quickly stood out in both families. Improvement proposals were developed and implemented, namely: (i) creation of a production scheduling and control system, (ii) improvement of the warehouse stock management system, and (iii) adoption of new routines, management tools, visual management, and kaizen meetings. The results achieved were excellent (e.g., throughput time reduced by 27.6% and productivity increased by 36.5%) and aligned with Sustainable Development Goals SDG 9 and 12. The findings of this study corroborate that exceptional results in the company performance can be achieved through a lean and industry 4.0 intervention, if the three referred contextual factors occur.

A review of flexible high-performance supercapacitors for the internet of things (IoT) and artificial intelligence (ai) applications

The Internet of Things (IoT) is a new area of modern technology today. Transportation, agriculture, healthcare, manufacturing, wearables, smart grid, energy-saving technologies, smart homes, smart management systems, and other fields of engineering, technology, and real-time management all have IoT applications. Moreover, artificial intelligence (AI) has broad applications in the car industry, surveillance, security, education, entertainment, gaming, e-commerce, portable gadgets, robotics, medicinal devices, etc. They require efficient energy to operate for an extended period. These devices necessitate offline and online energy storage devices that discharge for an extended period of time or require less time to charge advanced electrical energy storage devices such as supercapacitors. This review article reveals advanced energy storage devices such as supercapacitors and their applications in IoT and AI-based devices. A supercapacitor is an electrochemical capacitor that has high energy density and better performance efficiency.

Intelligent engineering management modeling for computer technology and data mining

The author suggests using computer technology and data mining in intelligent engineering management to increase the management capacity of engineering projects and decrease the consumption of construction expenses. The emphasis is mostly on theoretical and analytical approaches to problems of practical concern for data mining, perhaps in combination with other conventional tools, and the associated applications to engineers and managers of various industrial sectors. This has immediate benefits for both academic and applied data mining researchers as well as research students. The author developed a BIM project management system based on Browser/Server architecture and Client/Server architecture in conjunction with BIM technology and the BIM 4D model. To execute complete project management of business management, real-time control, and decision support, the system must establish and use its business logic and data exchange link. Each module in the 4D construction dynamic management subsystem recognizes dynamic management of the construction process, and the working duration of each module is determined by calculating by using the unified engineering decomposition principle, rationalizing the relevant data through time parameters, recording the acquired management data and storing it in the BIM database, and connecting the BIM database bi-directionally through the web server through the system integration. The results showed that when the time is 20[Formula: see text]min, the throughput of the system is higher than [Formula: see text][Formula: see text]kb/s. The system can effectively improve the project management ability, reduce the construction cost and construction period of the project, and the system responds quickly.

Building commissioning process and documentation: a literature review and directions for future research

The motivation of this paper is to examine and review the current study, gaps and trends in commissioning process and documentation in the architectural, engineering, construction, operation, and facility management (AECO-FM) industry and to propose future directions for imminent research area to revolutionized commissioning documentation in AECO-FM industry. In this paper, 66 research papers are studied to narrate the evolution of the commissioning process and documentation. This study discussed the current approach and studied adopted by the various retrieved research papers. Followed by identification of research gaps associated with on-going commissioning process and documentation. It has been found that limited studies focus on effective and automated building information sharing during commissioning and closeout stage for efficient building handover and O&M through its lifecycle. The automated digital practices to perform commissioning and handover process are still largely unknown. This study proposes novel approach for building information sharing through digital commissioning process. A scenario is presented to illustrate the application of digital commissioning process for building information sharing and verification of building assets. The proposed approach shows automatic and real-time information sharing with a holistic approach to perform building commissioning.

APPLICATIONS AND ASPECTS OF SUPERCAPACITOR IN IOT DEVICES AS A SUSTAINABLE ENERGY SOURCE

Today, the Internet of Things (IoT) is an emerging field of recent technologies. Every field of engineering, technology, and real-time management has IoT applications such as transportation, agriculture, healthcare, manufacturing, wearable, smart grid and energy saving, smart home, smart management systems, etc. Also, AI has captured wide-area applications in the automobile industry, surveillance, security, education, entertainment, gaming, e-commerce, portable devices, robotics, biomedical instruments, etc. Electrical and electronic devices are used in IoT-based applications. They are required efficient energy to operate for a long time effectively. These types of devices required offline and online energy storage devices that charge on time or require less recharge. The supercapacitor has a high capacitor, rapid charging/discharging cyclic rate, cost-effective and eco-friendly. Our objectives are to study supercapacitors for providing energy and power supply backup to IoT devices. Electronic devices mainly operate on dc signals and electrical instruments work on signals. The supercapacitor plays an important role to supply energy which stores an extremely large amount of electrical charge. It is the future of batteries and replaces the old bulk batteries with tiny high-performance flexible sustainable supercapacitors.

Hierarchical microtextures generated by pulsed-laser manufacturing for surface geometry modulation

Enduring surface technologies draw much attention to improving friction performance and prolonging the lifespan of multi-alternative contact pairs. Laser surface texturing is smart to modify effectively the microscopic surface geometries and mechanical performances for the service's improvement of friction pair. This study explored the formation mechanisms and morphology evolution of hierarchical microtextures, with a focus on the thermal field and phase transformation resulting from the laser heating effect on the alloy surface. The controlling variates of laser machining were analyzed considering their influences on microtextures' height and diameter, the pulse numbers are 3 times and 1.7 times of the unit laser power, 81 times and 82.5 times of the unit pulse width. We contributed to the development of laser manufacturing techniques for creating hierarchical microtextures' controllable morphology and smart surface design for tribology engineering and energy management applications.