Project Management Strategies Research Articles

The implementation of lean and digital management techniques using artificial intelligence in industrial settings

This article proposes an interdisciplinary approach to analyzing the problems associated with the introduction of digital technologies into industry, with special attention to artificial intelligence. The author offers a methodological framework based on the principles of lean manufacturing and artificial intelligence to eliminate the identified gaps. To improve the efficiency of production systems, a model is proposed that combines the principles of lean manufacturing with digital tools such as artificial intelligence. The introduction of a new concept and method of production process management requires a revision of the project management strategy and organizational practices. As one of the main results, a project is proposed aimed at introducing lean and digital production methods using modern digital technologies. The introduction of digital technologies has led to the appearance of preliminary results that allow the heads of production departments to make informed decisions based on up-to-date data. Enterprises using the potential of artificial intelligence demonstrate higher efficiency, complete orders ahead of schedule and benefit customers through innovative software and algorithms. This approach allows organizations to effectively manage their activities, providing value to customers and increasing their satisfaction. Issues related to Industry 4.0, digitalization and artificial intelligence play a key role in the context of business transformation, therefore, the study of these aspects can be valuable both for the academic community and for the practical activities of companies.

Retrograde Condensation in Gas Reservoirs from Microporous to Field-Scale Simulation

Hydrocarbon fields that contain non-associated gas, such as gas condensate, are highly valuable in terms of production. They yield significant amounts of condensate alongside the gas, but their unique behavior presents challenges. These reservoirs experience constant changes in composition and phases during production, which can lead to condensate blockage near wells. This blockage forms condensate bridges that hinder flow and potentially decrease gas production. To address these challenges, engineers rely on numerical simulation as a crucial tool to determine the most effective project management strategy for producing these reservoirs. In particular, relative permeability curves are used in these simulations to represent the physical phenomenon of interest. However, the representativeness of these curves in industry laboratory tests has limitations. To obtain more accurate inputs, simulations at the pore network level are performed. These simulations incorporate models that consider alterations in interfacial tension and flow velocity throughout the reservoir. The validation process involves reproducing a pore network flow simulation as close as possible to a commercial finite difference simulation. A scale-up methodology is then proposed, utilizing an optimization process to ensure fidelity to the original relative permeability curve at a microporous scale. This curve is obtained by simulating the condensation process in the reservoir phenomenologically, using a model that captures the dependence on velocity. To evaluate the effectiveness of the proposed methodology, three relative permeability curves are compared based on field-scale productivities and the evolution of condensate saturation near the wells. The results demonstrate that the methodology accurately captures the influence of condensation on well productivity compared to the relative permeability curve generated from laboratory tests, which assumes greater condensate mobility. This highlights the importance of incorporating more realistic inputs into numerical simulations to improve decision-making in project management strategies for reservoir development.

A SYSTEMATIC LITERATURE REVIEW ON ROLE OF PROJECT MANAGEMENT IN DIGITAL FORENSICS INVESTIGATION

The landscape of digital forensics has evolved significantly with the advent of sophisticated cybercrimes and the proliferation of digital devices. Digital forensics is a rapidly evolving discipline, characterized by unique challenges such as rapidly changing technology, large volumes of data, and stringent legal requirements. Effective project management in this context is crucial to ensure that investigations are conducted efficiently, accurately, and in compliance with legal standards. This systematic literature review aims to comprehensively analyze the role of project management practices in optimizing digital forensics investigations. Using established search protocols and selection criteria, we identified and analyzed relevant studies published between 2016 until 2023 that explored the application of project management methodologies, challenges, and best practices within the context of digital investigations. By applying effective project management strategies, investigators can ensure efficient, accurate, and legally sound digital investigations, ultimately contributing to successful criminal prosecutions and civil litigation outcomes.

Exploring Trust Ecology in a Public-Private Partnership for Agricultural Innovation in the United States Bioeconomy

United States (US) federal agencies are endorsing public-private partnerships (PPPs) to link public institutions with industry to develop local supplies of biofuel and build a domestic bioeconomy. Although trust is a critical factor within effective PPPs, few studies have addressed the different types of trust needed to cultivate these partnerships. Employing a mixed-method design, we explore a PPP in the Southeast US through the lens of trust ecology. We describe how participants perceive trust types within different project spaces and how trust changed during the partnership. Our findings highlight the role that different interactive spaces can play in cultivating types of trust that accumulate in an additive fashion. We offer insights on process-design mechanisms and project management strategies that can bolster trust in PPPs.

Project management analysis-based on Shanghai Disney

This paper presents a comprehensive analysis of the project management strategies employed during the development of Shanghai Disneyland. It utilizes three key analytical tools: PESTLE, SWOT, and Fishbone Diagram, to assess various aspects of the project. The PESTLE analysis evaluates the external environment, including political, economic, social, technological, legal, and environmental factors, which influenced the park's successful completion. The SWOT analysis identifies the project's internal strengths and weaknesses, as well as the external opportunities and threats it faced. Additionally, the Fishbone Diagram highlights critical challenges, such as financing, technology, and localization, that contributed to delays in project progress. The findings of this study demonstrate how effective project management, supported by government partnerships and market demand, facilitated Shanghai Disneyland's establishment as a globally significant theme park. However, the paper also underscores the importance of addressing localization and financial sustainability to ensure long-term success. The analysis provides valuable insights into managing large-scale, culturally complex projects.

Global trends and future research resources-based view theory in management science through a scoping review and bibliometric analysis

The objective of this study was to analyze recent research conditions and future research themes related to the resource-based view (RBV). The scoping review and bibliometric analysis (ScoRBA) method was used in this study. The data sources of this study were 171 scientific articles collected from Scopus. This study was conducted to visualize the results of the bibliometric analysis via co-occurrence analysis and thematic maps via VOSviewer software. The keyword used to find the scientific articles was a resource-based view, which was sought in the titles, abstracts, and keywords. The selected articles were scientific articles published from 1997--2024. The data analysis used in this research was through a co-occurrence analysis applied to the citations of the scientific articles, authors, and countries. The results of this study revealed six clusters of research variables related to the RBV, e.g., cluster 1 (capability, competitiveness, company performance, and strategy), cluster 2 (competitive advantage, personal management skills, investment, project management, and resource management strategies), cluster 3 (entrepreneurship, human resources, innovation, and social capital), cluster 4 (industrial management, information management, information technology, resource allocation, and planning strategies), and clusters 5 and 6 (intangible resources, profitability, corporate sustainability, and institutions). In addition, the future research themes associated with the RBV include dynamic capabilities, financial resources, human capital, profitability, and competitive ability.

ANALYZING THE IMPACT OF CONSTRUCTION DELAYS ON DISPUTES IN INDIA: A STATISTICAL AND MACHINE LEARNING APPROACH

In Major construction projects execution and performance were being negatively impacted by claims and disputes in terms of cost overrun, quality, stakeholders relationships, and productivity. Therefore understanding the significance of underlying the claims is essential. In this study, the primary root causes behind delay claims and disputes in construction projects were identified, examined, and rated. The significance of these factors was assessed using Relative Importance Index (RII) values. In addition, a machine learning model employing the Random Forest Genetic Algorithm (RFGA) was implemented to foresee the related risks and ascertain their levels. In a pilot survey, the data were collected across multiple construction projects at different phases such as scrutiny stage, design and planning stage, bidding stage, operation stage, and maintenance or after-construction stage. From Relative Important Index values from the statistical approach, it emerges that delay claims are generally causes from the owner followed by project-specific activities. Delays in processing bill payments, natural disasters, lack of contract awareness, and delay in final bill payment are the top causes of delay claims which converted to conflicts and disputes in mostly operating stage. The Random Forest Genetic Algorithm model predicted that factors like altering the original design, reluctance to cooperate by contractor, and increase of wages have lower risk whereas factors Poor site conditions, delay in approvals of schedules and change orders, natural calamities, late in running bill payment, repetition of work due to error in original work are at higher risk in terms of conflict and dispute. The model gives an accuracy of 0.89 and 0.87 for training data and testing data. The study will highlight possible research avenues and enhance project management strategies so that the project succeeds its goal.

Assessing the Impact of Project Management Practices on the Success of Construction Projects in Zambia: A Case Study of the Construction Projects in Lusaka between 2022 and 2023

This study investigated the influence of project management practices on the success of construction projects within Zambia, focusing on selected construction projects from 2022 to 2023. The research objectives aimed at assessing current project management practices and strategies, and identifying challenges for improvement. The study used theoretical frameworks such as Project Success Theory and Project Management Theory to analyse findings comprehensively. A qualitative approach was used for this study. Interviews were utilised to collect data from construction companies and thematic analysis was used to analyse the data. The research results identified key project management practices as being crucial for success, including comprehensive planning, effective risk management, clear communication, and robust performance monitoring. Challenges such as limited awareness, stakeholder engagement issues, and deficiencies in practical implementation were uncovered. The study recommends enhancing training, stakeholder engagement, risk management, and performance monitoring. Furthermore, gaps for research include exploring gender diversity, regional variations, sustainability integration, and longitudinal project performance studies. This study contributed valuable insights to the construction industry, aiming to optimise project management practices and foster sustainable development in Zambia.

Knowledge Transfer within Enterprises from the Perspective of Innovation Quality Management: A Decision Analysis Based on the Stackelberg Game

It is of great significance to study the effectiveness of knowledge transfer between the new and the veteran employees within enterprises for promoting sustainable innovation from the perspective of innovation quality management. However, few studies have examined the impact of innovation quality on the effectiveness of knowledge transfer between the new and veteran employees. In addition, knowledge of how reward and punishment incentives affect the effectiveness of knowledge transfer in innovation quality management remains insufficient. Since the amount of knowledge transfer is an important aspect of the effectiveness of knowledge transfer, this paper constructs a Stackelberg game model with an innovation-quality-oriented threshold of the knowledge transfer amount and investigates the amount of knowledge transfer between new and veteran employees in the collaborative innovation of research and development (R&D) projects within enterprises. A case study was used to reveal that the innovation-quality-oriented threshold for the knowledge transfer amount can effectively promote the amount of knowledge transfer between the new and the veteran employees in collaborative innovation. Moreover, reward is more effective than punishment in promoting the amount of knowledge transfer to exceed the innovation-quality-oriented threshold. This study enriches the theories of knowledge transfer games under quality management. By virtue of end-to-end project management strategies, modern multimedia technologies, and reward incentives this study can be used to conduct quality control during project execution, to promote knowledge retention in R&D projects, the innovation quality of projects, and the achievement of the Sustainable Development Goals (SDGs). The research methodology employed in this paper was limited to a case study, and the data utilized are not empirical data.

Project Management Strategies for Developing an Arduino-based Weather & Heat Index Monitoring System

This research explores an Arduino-based prototype for monitoring heat index outdoors. Employing a hybrid project management approach with Agile principles, the project addressed iterative development and collaboration within a six-person team. The successful prototype collects temperature and humidity data, calculates heat index, and transmits data wirelessly. We discuss how the methodology facilitated iterative development, communication, and adaptability. This research offers a cost-effective approach to environmental monitoring using Arduino and valuable insights for managing Arduino prototyping projects, especially in team settings. We propose future work to improve sensor accuracy, data security, power efficiency, and data visualization capabilities.

Project Management Strategies and Implementation of Youth Development Projects Funded by Business Development Fund (BDF), Rwanda: A Case of Gasabo District

Project Management Strategies and Implementation of Youth Development Projects Funded by Business Development Fund (BDF), Rwanda: A Case of Gasabo District

The Innovation and Improvement Strategy of Computer Software Engineering Project Management

Computer software engineering project management is facing unprecedented challenges and opportunities, and an effective project management strategy is crucial to ensure the success of the project. In view of the current project management practice and theoretical research, put forward five innovative and perfect strategies, the implementation of these five strategies is to ensure that the computer software engineering project on time, according to the budget, meet the quality requirements, improve customer satisfaction, so as to promote the sustainable development of the software industry. This paper aims to discuss the innovation and improvement strategy of computer software engineering project management, in order to provide theoretical basis and practical guidance for related industries.

From Sun to Sustainability: Project Management Strategies for Solar Energy in Baluchistan’s Agriculture

This study explores the incorporation of solar energy and project management in sustainable agriculture in Baluchistan, Pakistan. A 10-acre farm with a solar-powered water reservoir supports up to 10 irrigation sets, illustrating a tactical synthesis of reserve management and environmental stewardship. The economic scrutiny confirmations that the agronomy of onions, potatoes, and spinach on this farm might harvest a profit oscillating from 1.537 to 1.62 million Rupees, with a breakeven point valued at 1.76 years. This model serves as a beacon for profitable, eco-friendly agronomic practices, leveraging solar power to overwhelmed water insufficiency challenges. Despite the global dependence on fossil fuels, solar energy's interest has been regular, expressly in agriculture. The findings reveal a stark variance in the practicality of solar energy across diverse sectors due to Pakistan's inconsistent national grid. The research underlines the critical need for particular project management to harness the full latent of solar power and set a usual for future activities in lucrative and ecologically cognizant agronomy.

Regulatory Issues Encountered in the Process of Medical Device Project Management

The medical device industry is subject to rigorous regulatory frameworks aimed at ensuring the safety, efficacy, and quality of medical devices. This paper explores the regulatory challenges encountered during the project management of medical device development and commercialization. These challenges include navigating complex and frequently changing regulatory standards, managing lengthy and intricate approval processes, and ensuring compliance with quality and safety requirements across different jurisdictions. The study also highlights the difficulties associated with intellectual property protection, ethical review processes for clinical trials, and the growing demands for environmental sustainability in device manufacturing and disposal. Through a comprehensive review of literature and analysis of case studies, this research identifies key obstacles in regulatory compliance and offers insights into strategies for effective project management in the medical device sector. The findings suggest that successful navigation of regulatory challenges requires a multifaceted approach, including the adoption of advanced management software, continuous professional development, and proactive engagement with regulatory bodies. The paper concludes with recommendations for medical device firms to enhance their project management practices, thereby facilitating smoother regulatory compliance and faster market access for innovative medical technologies.

Enhancing large-span structure design and maintenance through the synergy of CAD, BIM, and IoT-AI technologies

The integration of Computer-Aided Design (CAD), Building Information Modeling (BIM), and Internet of Things (IoT) with Artificial Intelligence (AI) represents a transformative shift in the architectural and engineering practices for large-span structures. This paper delves into the quantitative and qualitative enhancements brought about by these technologies, focusing on their pivotal roles in design precision, structural analysis, project management, and maintenance strategies. CAD's evolution from simple drafting to complex 3D modeling has significantly reduced design time and errors, while its integration with structural analysis software has improved load distribution accuracy and material cost efficiency. BIM's contribution to design, construction, and sustainability emphasizes optimized resource allocation and energy-efficient practices. Furthermore, IoT and AI's role in real-time monitoring and predictive maintenance underpins a proactive approach to structural health, ensuring longevity and safety. Through statistical analysis, mathematical modeling, and case studies, this paper highlights the synergistic impact of these technologies on reducing project timelines, enhancing collaboration, and fostering innovation in large-span structure engineering. The findings advocate for a multidisciplinary approach, combining engineering expertise with advanced computational tools to achieve superior outcomes in the construction and maintenance of large-span structures.

CCTFv2: Modeling Cyber Competitions.

Cyber competitions are usually team activities, where team performance not only depends on the members' abilities but also on team collaboration. This seems intuitive, especially given that team formation is a well-studied discipline in competitive sports and project management, but unfortunately, team performance and team formation strategies are rarely studied in the context of cybersecurity and cyber competitions. Since cyber competitions are becoming more prevalent and organized, this gap becomes an opportunity to formalize the study of team performance in the context of cyber competitions. This work follows a cross-validating two-approach methodology. The first is the computational modeling of cyber competitions using Agent-Based Modeling. Team members are modeled, in NetLogo, as collaborating agents competing over a network in a red team/blue team match. Members' abilities, team interaction and network properties are parametrized (inputs), and the match score is reported as output. The second approach is grounded in the literature of team performance (not in the context of cyber competitions), where a theoretical framework is built in accordance with the literature. The results of the first approach are used to build a causal inference model using Structural Equation Modeling. Upon comparing the causal inference model to the theoretical model, they showed high resemblance, and this cross-validated both approaches. Two main findings are deduced: first, the body of literature studying teams remains valid and applicable in the context of cyber competitions. Second, coaches and researchers can test new team strategies computationally and achieve precise performance predictions. The targeted gap used methodology and findings which are novel to the study of cyber competitions.

515 Implementation of a Translational Science Research Center in a high education level institution in Colombia - Latin America: Unisabana Center for Translational Science (UCTS)

OBJECTIVES/GOALS: To establish and develop a high-level, dynamic, and self-sustainable Translational Science – research center in Colombia that promotes and articulates collaborative participation among different disciplines at Universidad de La Sabana to generate impactful solutions in health to transfer the knowledge to the local community. METHODS/STUDY POPULATION: With the support of core units of the University, internal funding was given for the establishment of the Research Center. An internal call was performed for recruiting researchers for multiple disciplines interested in joining the UCTS. After the researchers were selected, training of the research community in translational science and funding acquisition was performed towards the objective of interdisciplinary projects with impact in the local community. Project management strategies have been used for the follow-up of the advancements of the implementation of the UCTS. Operational structure and business plan for future self-sustainability are being designed. UCTS is proposed as an articulating party among different actors in clinics, research, and industry, for science and funding management. RESULTS/ANTICIPATED RESULTS: As an starting point, 8 research groups of different disciplines of the University have been integrated with the UCTS, increasing the research capacity in translational science. Internal administrative processes have been articulated within the institution and unified processes for international grants applications have been established in order to optimize the funding acquisition and management. Training programs for the research community, and community engagement activities have been offered as well. Networking relationships have been strengthened among the researchers enhancing international collaborations. Novel research projects are being designed towards real solutions in health for the local community, promoting the transference of knowledge from the benchside to the community. DISCUSSION/SIGNIFICANCE: The implementation of the UCTS led to the integration of disciplines within the University, towards new research projects with common interests for the local community. It has been an enriched experience using the project management approach, fulfilling a huge milestone for the University, aligned with the internal strategic priorities

Decoding Success in IT projects: a Multi-Stakeholder Perspective

Purpose–This study evaluated how effectively key stakeholders (project managers, team members, and clients) could predict I.T. project success. Every stakeholder had an independent perspective on the project's success, which made it possible to evaluate the project's success by considering all the stakeholders' points of view. Study Design/Methodology/Approach–Two focus groups studied how project managers, teams, and clients could determine I.T. project success. The study focused on assessing I.T. project success from various perspectives. Five to six stakeholders from different sectors with personal experience in I.T. projects participated in that study. Findings – The results suggested that successful I.T. projects that met business goals, improved operational efficiency, and produced significant returns on investments depended upon communication and teamwork, and equal participation by all stakeholders, the project success would be improved. Practical Implications – The research implications for project management strategies are that organizations could enhance their capacity to work together and achieve project goals by incorporating multiple stakeholder perspectives. This approach promoted creativity and encouraged IT solutions that aligned with business objectives. Originality/Novelty – Project managers monitored I.T. project execution to balance corporate goals with technology demands. Project teams produced high-quality deliverables and communicated well to overcome difficulties. Clients preferred I.T. solutions that met their company objectives, improved operational efficiency, and provided significant ROI.

PROJECT MANAGEMENT STRATEGIES FOR ACCELERATING ENERGY EFFICIENCY IN HVAC SYSTEMS AMIDST CLIMATE CHANGE

Amidst the escalating impacts of climate change, optimizing energy efficiency in Heating, Ventilation, and Air Conditioning (HVAC) systems emerges as a critical imperative. This review explores project management strategies aimed at accelerating energy efficiency in HVAC systems amidst climate change challenges. In response to climate change, the urgency to mitigate energy consumption in HVAC systems has intensified. Project management plays a pivotal role in orchestrating systematic approaches to address this challenge. Firstly, effective project management entails comprehensive planning. This involves conducting thorough energy audits and assessments to identify inefficiencies and prioritize improvement opportunities. Utilizing advanced technologies such as Building Energy Management Systems (BEMS) can enhance data collection and analysis for informed decision-making. Secondly, stakeholder engagement is essential for successful project implementation. Collaboration between building owners, facility managers, engineers, and contractors facilitates alignment of goals and resources. Clear communication channels and regular progress updates foster accountability and momentum throughout the project lifecycle. Thirdly, project management methodologies like Agile or Lean can streamline HVAC efficiency initiatives. Iterative development allows for continuous improvement, enabling teams to adapt to evolving requirements and incorporate feedback effectively. Moreover, risk management strategies are vital to anticipate and mitigate potential obstacles. Contingency plans for supply chain disruptions, regulatory changes, and unforeseen technical challenges ensure project resilience and minimize disruptions. Lastly, monitoring and evaluation mechanisms are indispensable for tracking project performance and verifying energy savings. Utilizing Key Performance Indicators (KPIs) and performance benchmarks enables stakeholders to measure success and adjust strategies as needed. Effective project management strategies are indispensable for accelerating energy efficiency in HVAC systems amidst climate change. By emphasizing comprehensive planning, stakeholder engagement, agile methodologies, risk management, and continuous evaluation, organizations can navigate challenges and realize substantial energy savings in HVAC operations.
 Keywords: Project Management, HVAC, Climate Change, Energy, Efficiency, Review.

Project management strategies for implementing energy-efficient cooling solutions in emerging data center markets

Project management strategies play a pivotal role in implementing energy-efficient cooling solutions in emerging data center markets. This review explores key strategies for successful implementation, focusing on the unique challenges and opportunities in these markets. Emerging data center markets are characterized by rapid growth and evolving infrastructure needs. As such, implementing energy-efficient cooling solutions requires a strategic approach that addresses local regulatory requirements, environmental conditions, and technological capabilities. Effective project management in these contexts involves several key strategies. Firstly, thorough planning is essential. This includes conducting feasibility studies, assessing site-specific requirements, and developing detailed project plans. Understanding the local context is crucial, as it can impact the selection and implementation of cooling solutions. Secondly, stakeholder engagement is critical. Engaging with local authorities, communities, and industry stakeholders can help ensure regulatory compliance and garner support for the project. Additionally, involving local experts and partners can provide valuable insights and enhance the project's success. Thirdly, implementing robust monitoring and evaluation mechanisms is essential. Monitoring energy consumption, cooling system performance, and environmental impacts allows for timely adjustments and optimizations, ensuring the long-term sustainability of the cooling solutions. Lastly, knowledge sharing and capacity building are key components of successful project management in emerging data center markets. Providing training and education on energy-efficient practices and technologies can help build local capacity and ensure the continued success of the cooling solutions. In conclusion, project management strategies for implementing energy-efficient cooling solutions in emerging data center markets require a holistic approach that considers local context, engages stakeholders, implements robust monitoring mechanisms, and promotes knowledge sharing. By adopting these strategies, data center operators can effectively address the challenges and opportunities in these markets, contributing to a more sustainable and resilient data center infrastructure.