Model For Projects Research Articles

Multiplexing projects: supervising undergraduate research projects with larger cohorts

Almost all undergraduate students in the UK complete a final year research project or dissertation. In the molecular biosciences field, these projects are often based in individual research laboratory. However, with increasing student numbers, falling staff/student ratios and decreased funding for consumables, these projects are becoming unstainable. At the University of Nottingham, we have developed a new model for cohort-based projects. These projects allow students to be taught key skills as a group, and then to apply their knowledge to individual projects. By streamlining communications, we are able to involve multiple members of staff and cover for staff absences. Feedback from these new-style projects has been extremely positive, and student engagement is high. Here, we share our experience of running multiplexed projects and discuss the adaptations we have made to enhance the student and staff experience.

Project Controls Model for Sustainable Construction Projects

As sustainability rises in significance in the construction industry, there is a need to adopt new project management techniques to help achieve increases in sustainability objectives. There have been several research works that have investigated the integration of sustainability in construction. However, there is a gap in addressing performance measurement and evaluation during the construction phase. Traditional project performance evaluation methods use the Earned Value Management (EVM) technique to assess time, cost, and scope performance. However, EVM does not address the performance of sustainability goals. The main objective of this paper is to develop a new project controls method for sustainable construction projects. Sustainability performance indicators can play an essential role in advancing the practice of sustainable construction. Accordingly, a Sustainable Earned Value Management (SEVM) model incorporating sustainability indicators was developed to monitor the attainment of sustainability objectives in construction projects in addition to the traditional objectives. The proposed SEVM model uses the construction planning optimization model to prepare the baseline plan to monitor the project’s time, cost, and sustainability performance. The proposed model enhances the monitoring and control of sustainable construction projects in terms of time, cost, and sustainability using sustainability indicators.

A risk sharing model for old community renewal project based on bargaining game model

To ensure the successful implementation of the old community renewal project (OCRP), it is essential for the participants to allocate the project risks reasonably. Firstly, this study comprehensively identifies the 20 key risk factors of the OCRP. Secondly, an index system is established from three dimensions to evaluate the risk allocation ability of participants, including a total of nine evaluation indexes. Furthermore, a risk-sharing model based on TOPSIS method and bargaining game model is proposed to determine the optimal risk bearer and risk-taking ratio between the government and the private sector in OCRP. Finally, an OCRP in Chongqing is taken as a case study to verify the applicability of the developed model. The results indicate that in OCRP under PPP mode, the government need to independently bear 7 risks related to politics, law, policy, while the private sector needs to independently bear 8 risks mainly from project financing, design, construction, operation, and maintenance stages. In addition, the risk-taking ratios of 5 risks that require both parties to share are divided. The research findings provide references for ensuring the smooth implementation of urban renewal and sustainable development.

Cost Apportionment Method for Transmission and Distribution Projects Based on Multiple Apportionment Factors

In today’s society, sustainability has become a key theme, and utilizing renewable energy is part of sustainability. Under the high proportion of renewable energy access, the conventional grid is gradually shifting to an active and distributed structure, which makes the existing cost apportionment method of transmission and distribution projects unable to match the actual situation. Reasonable apportionment of the costs of different voltage levels is the basis for the evaluation of transmission and distribution projects and is important for the formulation of transmission and distribution tariffs, which in turn have a significant impact on the development of renewable energy. To this end, this paper takes China’s power system as the research object and firstly analyzes the impact of the activization of the grid on the cost apportionment of transmission and distribution projects and then the inadequacy of the existing cost apportionment, which only considers a single factor and part of the cost which should be apportioned downward is still borne by this voltage level, and then combines the activation and the inherent characteristics of the power grid to extract the multiple factors to be considered for cost apportionment, and at the same time takes into account the reverse direction of the power trend, and divides the cost apportionment into two scenarios. The cost sharing model of transmission and distribution projects based on multiple apportionment factors is established. Finally, the feasibility and applicability of the model are verified by the examples of linear and reticulated grids, and the cost sharing results obtained by this method and the traditional method are compared. Using this method for the cost sharing of transmission and distribution projects, lower voltage levels will share more costs, and higher voltage levels will share fewer costs. The results show that the inclusion of the factors affecting cost sharing in the case of an active grid is more in line with the development trend of the new power system; the cost apportionment method based on multiple sharing factors makes the results fairer; and the inclusion of the power trend conduction relationship in the sharing process reflects the essential attributes of the grid. This is conducive to improving the operational efficiency of the power grid and promoting the long-term sustainability of the power system.

A Sustainable Model for Engineering Project - a Stakeholder’s Perspective

For earning sustainable SMSWM many environmental, economical, social, institutional, and technical challenges have to be met in the SMSWM pathway. In developing countries like Pakistan, MSWM is a gigantic task because of mismanagement, lack of proper funds, loss of cover and recovery options, bad serial and disposal, lack of information, and an ineffective delivery system. The project is therefore geared at enhancing such a model concerning 5 tenets in the sustainability of the environment that is technical, institutional, monetary, Environmental, and social. By implication, a solid waste management system that will favor a sustainable environment relating to the above factors will be determined from reading literature doing discipline visits, and engaging in stakeholder surveys. Based on five sprint factors of sustainability, the complete work has been done and all the components have been connected and have a certain ratio. When major factors and their sub-factors are identified, specific surveys are conducted for prioritization scoring of such elements, mainly based on the importance of each issue and closer to the inputs of different stakeholders considered. A conceptual model has been developed and refined into a final format for all municipal strong waste control projects to test the model’s sustainability. The rating/weights assigned to each element are purely and utterly to the opinion of the various stakeholders from a given field.

Sustainability assessment of urban water public‐private partnership projects with environmental, social, and governance (ESG) criteria

AbstractWith the acceleration of urbanization, the sustainability of urban water infrastructure projects has become pivotal to social development. This research aims to construct a comprehensive sustainability assessment model for urban water public‐private partnership (PPP) projects based on the environmental, social, and governance criteria. First, a multi‐level assessment indicator system is established considering the economic, social, ecological, and governance sustainability dimensions. Then, the extended analytic hierarchy process is utilized to determine the weights of indicators based on expert scoring. To address the ambiguity of qualitative linguistic variables, the interval‐valued intuitionistic fuzzy set method is applied to aggregate expert assessments. An empirical case study of an urban water project verifies the feasibility of the proposed approach. Results demonstrate that experts emphasize economic sustainability, while social sustainability is an overlooked dimension that requires improvement. The research contributes to the field by developing an applied, industry‐specific sustainability evaluation model for urban water PPP projects using advanced decision‐making techniques. This model provides practical tools for stakeholders to enhance the sustainable performance of urban water infrastructure projects.

Quality inspection method of BIM model for power grid engineering based on knowledge graph

With the continuous updating of national specifications and industry standards, the traditional manual compliance review method is difficult to meet the needs of the development of the construction industry. This study aims to improve the quality review method of BIM models by using knowledge graph technology. The BIM model of power grid engineering is selected as the research object, and a BIM model inspection system based on knowledge graph is developed to verify whether it complies with the relevant specifications and standards of power grid engineering. By taking the BIM model of an electrical engineering project as a case, an inspection report was generated, and the results verified the feasibility and practicality of this method. This technology provides a new direction for the deep integration of architectural design and information technology.

Framework model of syncretic management of innovative projects

The contemporary business landscape demands agility, innovation, and the seamless integration of diverse approaches. Traditional project management methods often struggle to adapt to this dynamic environment. This abstract introduces the framework model of syncretic management for innovative projects. Syncretic management emphasizes the unification of various elements to achieve a cohesive whole. In this context, it signifies a framework that blends methodologies and tools to optimize project outcomes. Key components include – Interdisciplinary Collaboration, Agile Methodologies, AI Integration. The syncretic management model offers several advantages – Enhanced Innovation, Improved Efficiency, Increased Adaptability. Reduced Risks: data-driven insights from AI facilitate proactive risk identification and mitigation strategies. Paper provides a concise overview of the syncretic management model for innovative projects. Subsequent sections will explore the core components of this framework in greater detail, delve into its practical applications, and discuss potential challenges and considerations for successful implementation.

TECHNOLOGY OF THE EDUCATIONAL PROJECT IN THE PROCESS OF PROFESSIONAL TRAINING OF FUTURE BACHELORS IN PHYSICS AT A PEDAGOGICAL UNIVERSITY

In the article, the author considers an educational project in physics as a unique activity of participants (teachers, students from different groups, courses) in the field of physical research, which has a set deadline and ensures the achievement of the planned result, which is a unique educational product. The technology of the educational project is interpreted as a pedagogical technology of resource-based learning of future bachelors in physics, which is a set of methods and techniques for organizing the didactic process and the educational and research interaction of all project participants to achieve the result within the specified time period. The stages of implementation of the technology of the educational project in the process of professional training of future bachelors in physics at the pedagogical university are defined: the stage of strategic planning, the stage of modelling, the stage of project implementation, the stage of presentation and reflection. The article provides a detailed description of the project, which involves the creation of videos for demonstration to students of a professional college, defines its stages, hypothesis, composition of participants, basis and terms of implementation, predicted result and results of reflection. It is noted that during the organization and implementation of educational projects in physics, the teacher performs the role of a tutor, which consists in determining the goals and content of project learning, in helping students to search information, in project planning, in the development of a structural and descriptive model of a physics project, in coordinating the process of work on the project. The teacher should guide the process of students’ educational and research interaction, support and encourage them to continuously progress in the work on the project, helping, but never doing the work instead of them.

Production of cultural and educational programs and cultural industries: on the issue of approaches to television analysis

INTRODUCTION. Television activity is devalued due to the loss of its exclusivity in the creation of video content and dissemination of video information. However, television has creative and technical resources, professionals, a school for producing programs aimed not only at supporting the consumer society and political manipulations, but also at developing fundamental meanings and strengthening values – culture, memory, national heritage. The gap that has occurred between the perception of television and its advantages and experience in creating content is a problem affecting the development of the media industry and television journalism. At the same time, the production of television special projects based on cultural events is related to the direction of cultural industries that is relevant for Russia, which allows us to rethink the meaning of television. The purpose of the study is to compare the creative characteristics of special TV projects with the properties of cultural industries and record the identified correspondences.MATERIALS AND METHODS. The empirical basis of the study is special projects of the regional TV channel “Saint Petersburg”, which are representations of cultural events based on live broadcast technology and using expressive means of television. The study used the case study method, as well as a comparative analysis of approaches to creating television projects and criteria of cultural industries.RESULTS AND DISCUSSION. A comparison of modern special television projects with the theory of creative industries revealed similarities in such positions as: a) high risks; b) the opposition of creativity and commerce; c) high production costs and low distribution costs; d) attitude to semipublic goods, etc.CONCLUSION. The models of such television projects correspond to the characteristics of cultural industries, which develops a theoretical view of television and actualizes its possibilities in the context of media transformation.

Exploring Project Management Office Models for Public Construction Projects in Hail, Saudi Arabia

The Saudi Vision 2030 initiative is critical to boosting national development, particularly in the construction industry. The construction industry is getting a lot of attention in a variety of ways, the most visible of which is the promotion of best practices, including project management office (PMO) applications. Hail province, like others, is experiencing project delivery issues. Thus, the purpose of this research is to explore the most suitable PMO model for Hail public construction projects. A literature review included an examination of the driving factors for establishing PMOs in construction firms, as well as PMO models and typologies that describe their functions. Therefore, those driving factors and PMO models were examined in a focus group to explore their suitability in the context of Hail. The research findings revealed that the Enterprise PMO is the main model for Hail public construction projects, followed, respectively, by the Program Management Office model and the Project Management Center of Excellence (PMCOE). This method of selection for a PMO model encourages construction companies and related businesses to change in order to improve the sector while also addressing construction project delivery challenges in Hail province.

Assessing carbon capture and storage technology in industrial joint venture

Carbon Capture and Storage (CCS) technology can effectively reduce carbon dioxide emissions from industrial and energy production processes. Yet the commercialization of CCS technology is hampered by financial requirements. Existing research compares the costs and benefits of business models for individual CCS projects, no studies assess the industry and national levels. Here we use a dynamic computable general equilibrium model, constructure the vertical integration and joint venture business models for CCS. This study assesses the emission and economic impacts of joint ventures between China's high-emission industries and their upstream and downstream sectors. We find that adopting the joint venture model in the coal power sector, compared to the vertical integration model, initially exerts a negative economic impact but can mitigate 0.04 % of GDP by 2060. The chemical industry consistently benefits from the joint venture model both economically and in emission reductions. Downstream sectors of the steel and cement industries are unsuitable for participation in joint ventures. In addition, the joint venture model has significant industry linkage effects, affecting energy consumption, the scale and cost of CCS deployment. This work provides important information for the large-scale commercialization of CCS technology.

Developing a cost-predictive model for hospital construction projects

ABSTRACT Hospital construction projects require the integration of innovative technologies, making them complex and challenging to estimate accurately. Without reliable guidelines, lists of considerations, or predictive models, decision-makers may choose an unsuitable contractor, leading to cost overruns and project delays. This research used quantitative and qualitative methods, including expert opinions and focus groups, to address this issue and identify critical factors affecting cost estimation in hospital construction. Using multi-regression analysis, historical data was analyzed to establish a cost-predictive model. The study identified 24 factors that determine the most critical criteria affecting the cost estimation of hospital construction. This model can evaluate the estimated direct cost provided to decision-makers in the early stages of the project with over 95% accuracy. The research results can assist professionals in the construction industry in better estimating and managing the costs of hospital construction projects, reducing risks, and improving project outcomes. Key findings indicate that specific components such as site and electrical works show average percentage errors of 8.02% and 5.11%, respectively, highlighting areas prone to cost estimation inaccuracies. This insight directs focus on improving accuracy in these critical sectors, thus further refining cost management strategies for hospital construction projects.

Factory Logistics Improvement: A Case Study Analysis of Companies in Northern Thailand, 2022–2024

Background: Thailand’s logistics costs significantly exceed global averages. This study examines the novel application of a triple-helix model in factory logistics improvement projects in Northern Thailand from 2022 to 2024, addressing industrial logistics inefficiencies. Methods: The project involved 30 factories across various sectors, employing a case study methodology to analyze improvement initiatives in transportation, warehouse/inventory management, and logistics administration. Results: Transportation management interventions yielded up to 25% cost savings and improved delivery performance. Warehouse and inventory management upgrades led to inventory cost reductions of up to 55%. Logistics administrative improvements resulted in up to 20% cost savings and enhanced planning capabilities. Conclusions: The project demonstrates the effectiveness of the triple-helix model in facilitating knowledge transfer and practical improvements in industrial logistics. These findings are valuable for Thai industries, policymakers, and logistics managers globally, offering a blueprint for similar initiatives in developing economies. The success of this approach provides practical insights for optimizing logistics operations, potentially benefiting supply chain stakeholders, economic planners, and researchers seeking to enhance logistics efficiency and reduce costs in various industrial contexts.

A segmented trial-and-error algorithm for optimized operation of water storage projects

ABSTRACT Mathematical programming methods and modern intelligent algorithms are used to solve the optimized operation models of water storage projects. Classical mathematical programming methods are prone to the curse of dimensionality when the size of the system increases. Intelligent algorithms improve the computational efficiency to a certain extent, but still suffer from defects such as unstable optimized solutions and easy to fall into local optimizers. In this article, a segmented trial-and-error algorithm is proposed to obtain the global optimizer while considering computational efficiency. First, a water balance constraint is introduced into the objective function and a Lagrangian function is constructed to derive the ideal optimizer. Constraints are then gradually introduced and the optimized model is solved by iterative trial-and-error calculations. By approximating the ideal optimizer by segments in this way, the global optimizer is finally obtained. Numerical experiments were carried out in a water supply reservoir. The results show that the segmented trial-and-error algorithm can obtain the global optimizers in different situations with objective functions that are 0.0028–0.0076 lower than those of the genetic algorithm, implying less and more uniform water shortages. The segmented trial-and-error algorithm requires less than 1% of the computational time of the dynamic programming.

Development of time-cost trade-off optimization model for Indian highway construction projects using non-dominated sorting genetic algorithm-II methodology

Development of time-cost trade-off optimization model for Indian highway construction projects using non-dominated sorting genetic algorithm-II methodology

Exploring the barriers to farmer participation in soil carbon projects under the Australian Carbon Credit Unit Scheme

ABSTRACT The Australian Carbon Credit Unit Scheme was established to incentivise reductions in emissions or carbon storage. However, there has been low participation by farmers in soil carbon projects since the first soil carbon method was established for agriculture in 2014, even though carbon prices are high and management changes to sequester carbon on farms should be complementary to other business outcomes. This study explores the barriers that might limit participation in soil carbon projects. A novel approach is that instead of interviewing landholders, we worked with agents, service providers and agencies in Australia to gain their insights about the participation challenges for farmers. The main barriers identified are information gaps, risk and uncertainty about returns, high upfront costs, poor knowledge, limited business cases and program complexity. Potential opportunities to overcome barriers include increasing awareness of and access to factual and science-based information, reducing risk and uncertainties, reducing measurement and practice change costs, increasing financial support and incentives, quantifying environmental benefits and complementary benefits of the practices, and simplifying the methods and program systems. This study also suggests better business models for carbon projects need to be developed, with adjustable scenarios, so that farmers can tailor them to their enterprise.

Investigating small sized metal blockage effects at 60 and 100 GHz using measurements and modeling approaches

Millimeter wave (mmWave) technologies at 60 GHz and 100 GHz bands are currently gaining significant attention for its potential to meet the demanding needs of next-generation networks. These include ultra-high data rate, ultra-low latency, high spectral efficiency, and high end-to-end reliability. However, mmWave signals’ blockage remains a critical issue that affects the reliability of mmWave at 60 GHz and at 100 GHz bands due to the significant attenuations induced by the blockers (BLs). Not only blockers that have the size of a human body or even larger can affect the signal, but also smaller objects with much narrower dimensions, as narrow as 4 cm, can severely affect the signal strength and introduce an attenuation that reaches up to 12 dB at 100 GHz. In this paper we have conducted new measurements and presented results for three small copper sheets at each frequency band, aiming to investigate the blockage effect of small-sized metal objects on signal strength at these two frequency bands. Also, we have examined the performance of the knife-edge diffraction (KED) blockage model of the third-generation partnership project (3GPP) standards body and its evolved version named the mmMAGIC blockage model in such scenarios. Furthermore, we investigated the applicability of the two blockage models in capturing the attenuation characteristics of other materials-such as wood and glass. Experimental results supported by numerical models have shown that the induced peak attenuations are 5(12) dB, 10(23) dB, 23(23) dB for 4 ×\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ imes $$\\end{document} 4 cm, 8 ×\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ imes $$\\end{document} 8 cm, 16 ×\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ imes $$\\end{document} 16 cm copper blockers, respectively, at 60(100) GHz mmWave bands. Also, we have shown that both the 3GPP and mmMAGIC simulation models fail to accurately capture the attenuation characteristics of materials other than copper. The findings of this work highlight the importance of considering the dimensions and types of blockages when deploying reliable mmWave and sub-THz communications.

Promoting the sustainable development of CCUS projects: A multi-source data-driven location decision optimization framework

Carbon Capture, Utilization, and Storage (CCUS) technology is vital for achieving global carbon reduction targets. However, the uncertainties in technology and economic viability are influenced by location. To promote the sustainable development of CCUS technology, the study proposes a data-driven framework for optimizing location decisions. Firstly, the framework considers multiple factors, including geospatial data on resources, risks, power production, transportation, and environment. It also evaluates qualitative and quantitative data across economic, social, environmental, and technological dimensions. Secondly, the two-stage model is conducted as follows: Using Geographic Information System (GIS) technology, the first stage identifies suitable regions for CCUS projects, while the second stage prioritizes these regions using the TODIM method. Further, validated in China, the Junggar Basin, Tarim Basin, Ordos Basin, Sichuan Basin, and Bohai Rim Basin are identified as suitable for CCUS deployment. The Huaneng Luohuang Power Plant is the most conducive location for CCUS projects as pilot demonstrations. Final sensitivity analysis, scenario analysis, and comparative analysis have respectively affirmed the stability, dynamism, and reliability of the model. These analyses have also been instrumental in elucidating the final preferred outcomes under various decision-making preferences and strategic orientations. The framework for decision-making and data-driven priority model for CCUS projects layout proposed in the study can provide technical support and practical evidence for decision-makers in planning CCUS projects and formulating supportive policies.

Using ADDIE model for scaffolded learning and teaching intervention

Learning and Teaching (L&T) research is sometimes challenging for lecturers who are not specialists in the Scholarship of Teaching and Learning (SoTL) or instructional design. Good empirical L&T research should be reflective, based on a sound theoretical foundation, and completed like other research, using appropriate steps in data collection. Many L&T researchers often skip to the intervention or implementation without embedding evidence and proper research steps in the project from the beginning. This study aimed to explore the integration of the ADDIE model with L&T interventions incorporating pedagogical theory. It also aimed to examine how the findings from implementing this model in SoTL projects can inform best practices for instructional design and contribute to the broader scholarship on teaching and learning. The study adopted a mixed-method approach with a pre-post-test design. A collaborative interventive research project was purposively selected, focusing on First Year, Senior, and Further Education and Training (SEN&FET) Bachelor of Education students who are trained to teach grades 8-12. The results confirmed the efficacy of the ADDIE model steps as a useful instructional design framework for integrating L&T theories. The study also found that a scaffolded L&T collaborative intervention with sound research methodologies and approaches is beneficial for SoTL projects. Therefore, the study recommends implementing the ADDIE model in different interventive approaches and collaborative educational settings to enhance students' achievement as well as teaching and learning.