Project Resource Allocation Research Articles

Enhancing IT Project Portfolio Management Through Dynamic Dashboard Visualization and Integrated Chatbot and Mathematical ML Model for Strategic Decision Making

This project paper presents an innovative approach to enhance IT Project Portfolio Management (IT PPM) using dynamic dashboard visualization and machine learning (ML) techniques. Effective IT PPM is essential for organizations to align IT projects with business objectives and optimize resource allocation. However, conventional methods often lack innovation and real-time visibility, leading to suboptimal decision-making and costly software investments. The objective of this project is to develop a dynamic dashboard visualization system integrated with a machine learning model derived from the Meta-Portfolio Method (MPM). The MPM leverages advanced analytics and historical project data to dynamically allocate resources and prioritize projects based on risk-return profiles. By incorporating the MPM into the dashboard, organizations gain real-time insights into project status, progress, and resource allocation, enabling informed decision-making and proactive portfolio optimization. The ML model derived from the MPM analyzes historical project data, including success rates, resource intensity, criticality, regulatory compliance, and portfolio diversification, to predict optimal project selection and resource allocation. By dynamically adapting to changing market conditions and project dynamics, the ML model facilitates strategic decision-making and enhances portfolio performance. Through the integration of dynamic dashboard visualization and ML-driven decision support, organizations can streamline IT PPM processes, improve project outcomes, and achieve strategic objectives effectively and efficiently. This innovative approach empowers organizations to navigate the complexities of IT project portfolios with agility, foresight, and confidence.

Optimizing Electrical System Performance at PTKP Coal Mining Company: Navigating Operational Challenges, Capitalizing on Load Growth, and Preparing for Future Energy Needs

PTKP Coal Mining Company, a prominent player in the Indonesian coal mining industry, faces operational challenges in optimizing its power generation capacity following the termination of a contract with the national electricity company in 2020. This study employs a mixed-methods approach, combining qualitative insights from interviews with key stakeholders and quantitative data analysis using the Analytic Hierarchy Process (AHP), to provide a comprehensive and structured framework for project prioritization and resource allocation. The qualitative results reveal a multifaceted approach to addressing the company’s operational challenges, focusing on improving asset utilization, reassessing operational strategies, optimizing operational flexibility, and adapting to load changes. The AHP analysis offers a robust decision-making framework, considering multiple criteria such as economic feasibility, strategic alignment, regulatory compliance, technical feasibility, and environmental impact. The prioritization of projects showcases the strategic significance of each initiative, with Project E emerging as the top priority, followed by Project G, and Projects B, H, and M forming the middle tier. This structured approach enables PTKP Coal Mining Company to navigate complex challenges, remain agile in changing market conditions, and effectively leverage its assets and capabilities to achieve its objectives and drive long-term success. The study highlights the strengths of the AHP methodology in guiding strategic planning and resource distribution while shaping decision-making processes across the organization. However, the research also acknowledges limitations, such as the reliance on a small sample size, the focus on a single company, and the emphasis on the prioritization phase. Future research directions are proposed to address these limitations and further enhance the understanding and effectiveness of structured decision-making approaches in the energy sector and beyond, ultimately contributing to the alignment of corporate strategies with broader societal goals and sustainable development.

Evaluation of Project Portfolio Management using the WSM Method

Project Portfolio Management (PPM) is a strategic approach that organizations employ to effectively manage their projects and align them with their overall business objectives. It involves the selection, prioritization, and control of projects to maximize their value and ensure successful project delivery. By implementing PPM, organizations can optimize resource allocation, mitigate risks, and improve decision-making processes. This abstract provides an introductory overview of PPM, highlighting its importance and key components. It emphasizes the role of PPM in driving organizational success by creating a balanced and diversified project portfolio that aligns with strategic goals. The abstract also mentions the benefits of PPM, such as improved resource utilization, enhanced project visibility, and better decision-making based on objective criteria. Overall, PPM serves as a vital tool for organizations to effectively manage their projects, achieve their strategic objectives, and maximize business value. Research on Project Portfolio Management (PPM) holds significant value as it contributes to the development of best practices and informed decision-making in project management. By investigating strategic alignment, resource optimization, risk management, decision-making processes, performance measurement, organizational agility, and stakeholder engagement, researchers can help organizations improve project selection, resource allocation, and overall portfolio management practices. This research significance is crucial for practitioners and organizations aiming to enhance project outcomes, achieve strategic objectives, and maximize business value. In this research we will be using weighted-sum method. Project 1, Project 2, Project 3, Project 4, Project 5 and Time, Cost, Quality, Risk, work health and safety out of all the 5 projects, Project 1 gets first rank in Project Portfolio Management. With the weighted sum method, we are able to find the best project in Project Portfolio Management has been evaluated with various parameters and methodology.

OPTIMIZATION SCHEDULING PROJECT REHABILITATION BUILDING AND HALL DEKRANASDA AND KALIMANTAN BARAT MUSEUM FENCE USING CRITICAL PATH METHOD (CPM)

This study investigates the optimization of project scheduling using the Critical Path Method (CPM) in construction projects. Focusing on the Building Rehabilitation Project, Dekranasda Hall, and Kalimantan Barat Museum Fence, the research aims to reduce project duration without altering costs. CPM is employed to map out activities in a network, identifying the critical path to enhance time management. The initial project duration was 249 days. By breaking down work items and increasing the number of workers in critical activities, the duration was reduced to 125 days. Optimization involved dividing tasks into manageable segments and determining the appropriate workforce through trial and error. The study demonstrates that effective project scheduling and resource allocation can significantly reduce completion time, highlighting CPM's value in project management for achieving efficiency and meeting deadlines. The findings emphasize the importance of detailed planning, dependency logic, and continuous monitoring to optimize construction project timelines.

Optimizing Human Resource Allocation in Construction Projects: A Case Study

In construction, human resources are essential for workers to carry out tasks and work optimally from project initiation to completion. This entails having workers with the requisite skills and abilities for each job description. This research focuses on analyzing the feasibility of constructing the Iskandar Muda Military Regional Finance Office in Banda Aceh City from a human resources perspective. Findings from productivity calculations reveal a decrease in the relationship between duration and work productivity progress, rendering the current number of workers ineffective in ensuring construction feasibility from a human resources standpoint. Despite the presence of 32 workers with skills aligned with job descriptions, the research underscores the importance of optimizing labor allocation and time utilization to enhance productivity. By implementing efficient methods tailored for repetitive tasks and adjusting labor requirements throughout the project duration, this approach proves feasible and effective in achieving better overall results in constructing the Iskandar Muda Military Regional Finance Office.

Artificial Intelligence in Project Management: Enhancing Efficiency and Decision-Making

This thesis explores the integration of Artificial Intelligence (AI) in project management practices to improve efficiency and decision-making processes. As organizations increasingly rely on project management methodologies to execute tasks, deliverables, and achieve objectives, the role of AI in enhancing these processes becomes pivotal. Through an examination of existing literature, case studies, and theoretical frameworks, this thesis investigates the potential benefits, challenges, and implications of incorporating AI technologies in project management. It aims to provide insights into how AI can optimize project planning, scheduling, resource allocation, risk management, and stakeholder communication. Additionally, the thesis explores the ethical considerations and societal impacts associated with the adoption of AI in project management. By analyzing real-world applications and theoretical perspectives, this research contributes to the understanding of how AI can be effectively utilized to streamline project management practices and drive organizational success in diverse industries.

Evaluation of the Effectiveness of Technology-Based Project Management Systems for Software Development

The article "Evaluation of the Effectiveness of Technology-Based Project Management Systems for Software Development" explores the efficacy of project management systems in the context of software development projects. In the dynamic landscape of software engineering, efficient project management is crucial for successful and timely delivery of high-quality software products. The study employs a comprehensive evaluation framework to assess the performance and impact of technology-based project management systems on software development projects. The research methodology involves a combination of quantitative and qualitative analyses, incorporating key performance indicators and user satisfaction surveys. The evaluation criteria encompass aspects such as project timelines, resource allocation, collaboration efficiency, and overall project success. By studying multiple case scenarios and employing a comparative analysis, the research aims to identify patterns, strengths, and weaknesses associated with different technology-based project management systems commonly used in the software development industry. The findings of this study are expected to contribute valuable insights to both academia and industry practitioners, shedding light on the optimal selection and utilization of project management systems for software development endeavors. As organizations increasingly rely on technology-driven solutions, understanding the effectiveness of project management systems becomes paramount for achieving enhanced productivity, streamlined workflows, and successful project outcomes in the ever-evolving field of software development.

Management Practices and Performance of Projects of Forum for Women Development in Kabale District Uganda

The study focused on project management methods and outcomes in Uganda. FOWODE instance in Kabale District. The study's primary goals were to determine the impact of internal controls on project performance in the Kabale district, the impact of human resource management on project performance in the Kabale district, and finally, the impact of planning on project performance in the Kabale district. Using the sample size determination table by Morgan and Krejcie (1970), 103 respondents were chosen as the sample size from a total of 140 respondents. This suggests that in the Kabale district, planning is statistically significant to project performance. The null hypothesis was thus disproved. The study's final finding for goal one was that financial controls and compliance are crucial for enhancing project performance. Improved internal controls will increase FOWODE's capacity to use resources efficiently, reduce waste, and provide expected results. Regarding the second goal, the study came to the conclusion that rewards methods should be in line with project objectives and staff values. Lastly, on objective three, It is essential to develop a clear project planning framework that outlines the project's objectives, goals, budget, timeline, and resource allocation.

Compound Matrix-Based Project Database (CMPD)

The impact of projects is vital, from business operations to research to the national economy. Therefore, management science and operation research have extensively studied project scheduling and resource allocation for over six decades. Project databases were proposed to test algorithms, including simulated or real, single or multiprojects, and single-mode or multi-mode projects. However, the dozens of project databases are extremely heterogeneous regarding the file structure and the features of the modeled projects. Furthermore, the efficiency and performance of project scheduling and resource allocation algorithms are susceptible to the characteristics of projects. Therefore, the proposed Compound Matrix-Based Project Database (CMPD) collects and consolidates the most frequently used project databases. The proposed Unified Matrix-Based Project-Planning Model (UMP) sparse matrix-based model enables the addition of new features to existing project structures, such as completion priorities, structural flexibility, and quality parameters, to broaden the scope of considered projects and to take account of flexible approaches, such as agile, extreme, and hybrid projects.

A model for quantification of environmental risk in mining ventures

The premature termination of industrial projects, often triggered by insufficient revenue generation to cover liabilities, poses a significant challenge in project evaluation. Although the conventional discounted cash flow (DCF) method remains widely used, its inability to account for project failure probabilities can lead to resource misallocation. This study aims to address this limitation by applying real options theory to assess the risk of premature abandonment within the context of a mineral extraction project. In this proposed system, fluctuations in environmental remediation costs are modelled by considering the cumulative probabilities of cost increases or decreases at each time step. The simulated project value reflects the cumulative activities required for mine closure, where each ton of extracted ore generates an environmental liability demanding remediation. Through the application of this system, the study demonstrates its effectiveness in identifying an escalating probability of project closure over time. Particularly, the findings reveal the existence of a critical threshold date. Beyond this date, any operational suspension exceeding one year renders project closure the economically optimal choice. This closure encompasses all necessary environmental restoration activities. By integrating real options theory into project evaluation, this study offers a more comprehensive approach to assessing the risk of premature project abandonment in mineral extraction projects. Through the consideration of fluctuating environmental remediation costs and the cumulative probabilities of project closure, it provides valuable insights for decision-making in project management and resource allocation. The trigger curve generated allowed for the identification of the viability threshold of the venture. Identifying the threshold to initiate the mining closure project.

The effect of autonomous team role selection in flexible projects

Today, most software projects are flexible, such as agile, extreme, or hybrid. In addition, this approach is increasingly being adopted for other types of projects. Most software project scheduling problems (SPSPs), more broadly, project scheduling problems (PSPs) and resource allocation methods, assume a fixed project structure. If we use these traditional methods, we cannot model and therefore understand why certain flexible, e.g., agile, policies are essential and how they help project management. This research shows how a matrix-based project planning approach can model team roles and synergies between employees. Extending the synergy-based software project scheduling problem, this study shows the effects of autonomous team role selection, highlighted in agile projects. The proposed model can manage (1) flexible projects, (2) synergies between employees, and (3) the difference between hard skills and soft skills. The proposed method is evaluated in a real-life case study. The proposed method is compared with existing, nonsynergy-based project scheduling methods. We found that positive synergy between employees can reduce the makespan of the project, and the best solution is given in autonomous team role selection.

Multi-objectives optimization can contribute to conservation and restoration priority setting in dryland region

The ecological conservation and restoration of drylands is a global challenge, which is always under resources constraints and in competition with land developments. Here, we aim to identify ecological conservation and restoration priority areas based on the objectives of maximizing ecological values and minimizing opportunity costs with zonation as a heuristic spatial optimization tool. We take the Inner Mongolia (IM) of China as a typical dryland region. Results reveal that the efficiency of multi-objectives for ecological restoration is often better than a single objective. IM should focus on ecological conservation supplemented by restoration. Conserving 36.9% and restoring 13.1% of IM can provide an average of 72% of ecosystem functions while consuming 20% of opportunity costs. Our framework aligns with the need for nature-based solutions and rationalizes the allocation of resources for ecological conservation and restoration projects in complex dryland regions.

ADAPTIVE LOB SCHEDULING FOR OPTIMIZING RESOURCE LEVELING AND CONSUMPTION

Several techniques were developed to improve resource allocation in construction projects, yet few in repetitive construction projects. Accordingly, this research aims at minimizing resource consumption and fluctuations using Line-of-Balance (LOB) repetitive scheduling technique. An optimization model has been developed consisting of three modules: LOB schedule module, resource leveling module, and optimization module. The model helps determine the optimum (a) start time for each activity considering any needed delays to level resources, (b) number of crews travelling from one unit to another, (c) unit to change the number of crews, and (d) the new changed number of crews. Unlike the existing efforts, the developed model provides the capabilities of (a) allowing the change of number of crews of an activity at a certain repetitive unit to increase or decrease the progress rate; and (b) accommodates non-serial repetitive projects to enhance the model’s practicality. Using a pipeline project, the model outperformed the existing LOB-based models in minimizing resource consumption and fluctuations within the desired project duration. This study offers the project planners a useful tool to efficiently utilize their projects’ resources and avoid hidden costs due to inefficient resource utilization on-site as well as overcoming shortage in resource availability.

LEVERAGING PROJECT MANAGEMENT TOOLS FOR ENERGY EFFICIENCY IN HVAC OPERATIONS: A PATH TO CLIMATE RESILIENCE

Efficient management of heating, ventilation, and air conditioning (HVAC) systems is paramount for mitigating energy consumption and enhancing climate resilience in modern infrastructure. This review explores the significance of leveraging project management tools to optimize energy efficiency within HVAC operations, thus fostering a pathway towards climate resilience. The integration of project management methodologies offers a systematic approach to address challenges associated with energy consumption in HVAC systems, thereby facilitating informed decision-making processes. Firstly, the review delves into the pressing need for energy conservation in HVAC operations amidst escalating concerns over climate change and its adverse impacts. The imperative to minimize energy consumption in buildings, particularly through HVAC systems, is highlighted as a pivotal step towards achieving climate resilience and sustainability goals. Subsequently, the review outlines the role of project management tools in orchestrating effective strategies to enhance energy efficiency within HVAC operations. By employing techniques such as project scheduling, risk management, and resource allocation, project managers can streamline the implementation of energy-efficient measures, thereby optimizing HVAC system performance and reducing carbon emissions. Moreover, the review underscores the importance of data analytics and technological advancements in augmenting the efficacy of project management tools for energy efficiency in HVAC operations. Leveraging real-time data monitoring, predictive analytics, and IoT-enabled devices enables proactive maintenance and continuous optimization of HVAC systems, thereby maximizing energy savings and bolstering climate resilience. Furthermore, the review elucidates the potential benefits and challenges associated with the adoption of project management tools for energy efficiency in HVAC operations. While improved cost-effectiveness, environmental sustainability, and operational performance emerge as primary benefits, challenges such as initial investment costs, technological complexities, and organizational inertia necessitate careful consideration. This review advocates for the integration of project management tools as a viable approach to foster energy efficiency in HVAC operations, thereby paving the way towards enhanced climate resilience and sustainability in built environments. By embracing innovative methodologies and technological solutions, stakeholders can mitigate energy consumption, reduce greenhouse gas emissions, and fortify infrastructure against the impacts of climate change.
 Keywords: HVAC, Climate Resilience, Project Management, Energy, Review.

Evaluating the Role of Project Management Offices (PMOs) in Large-Scale Construction Projects: Insights from Construction Industry Professionals

This research paper evaluates the role of Project Management Offices (PMOs) in large-scale construction projects, with insights from construction industry professionals. The study's main objective was to bridge the gap in literature by obtaining direct perspectives from those managing these projects. A structured online survey, encompassing both quantitative and qualitative questions, was administered to a diverse group of professionals. The analysis, conducted using statistical software for quantitative data and thematic analysis for qualitative insights, led to several key findings. PMOs were perceived as highly effective in aligning project objectives, resource allocation, process standardization, communication facilitation, and risk management. Notable challenges included resistance to change, inadequate senior management support, resource constraints, and project complexity. PMOs positively impacted project timelines, budget management, stakeholder engagement, and quality of deliverables. High integration of sustainability practices and moderate to high adoption of innovative technologies were also observed. Key success factors for PMOs included effective leadership, clear objectives, skilled teams, robust risk management, and effective stakeholder communication. Over 89% of respondents were satisfied with PMO performance. The study contributes to the existing body of knowledge by providing practical insights and confirming the critical role of PMOs in the success of large-scale construction projects. It highlights the importance of PMOs in driving sustainability and technological advancements, thus offering actionable guidance for enhancing PMO effectiveness in the construction industry.

Efficient Human Resource Allocation in Projects Using Centralized Data Envelopment Analysis

Human resource allocation is a critical component of project management, especially for projects that rely on the knowledge and expertise of skilled personnel. Data Envelopment Analysis (DEA) is a suitable method for this allocation since teams working for different tasks of a project can be considered as Decision Making Units (DMUs) that produce valuable outputs using different types and levels of personnel (inputs). We use Centralized DEA models for efficient allocation of human resources of the overall project among several teams. Using the software teams of a project undertaken in a large technological defense company as DMUs, we define appropriate outputs that measure effort, importance of work, and schedule performance. Factors relevant to the importance of work are aggregated using Rank Order Centroid weights according to expert evaluations. We differentiate between the permanent personnel of the company by their expertise level, and also subcontractors as different inputs. We define staffing policies with varying flexibilities that can be applied in different time periods, and suggest the transfer or removal of some personnel. Our results demonstrate that a centralized view on human resource allocation can bring noteworthy savings, especially in the long term when there is higher flexibility in staffing decisions.

Analysis of factors influencing resource scheduling for emergency construction projects considering multiple spatial characteristics

In response to the growing frequency of international emergencies, the demand for resources dedicated to emergency construction projects has significantly increased due to their pivotal role in disaster containment and mitigation. This article examines the factors influencing the allocation of multi-spatial resources for such projects, conducting both causal and hierarchical analyses to unveil their interdependent mechanisms. It addresses a theoretical research gap in resource scheduling through bibliometric analysis. The study utilizes the Fuzzy Decision-Making Laboratory Analysis (Fuzzy-DEMATEL) method to identify key factors within the system and constructs a hierarchical model using Interpretive Structural Modeling (ISM) to systematically analyze the factors affecting multi-space resource allocation in emergency construction projects. The results reveal 43 influencing factors, categorized into 11 levels, with the political and social environment, resource scheduling determination, and design changes standing out as the primary influencers. Additionally, the article proposes a three-tiered strategy based on experimental results to offer theoretical insights for multi-spatial resource scheduling in emergency construction projects.

LITERATURE REVIEW ON DEVELOPMENT OF PROJECT PERFORMANCE AND CHARACTERISTICS IN CONSTRUCTION INDUSTRIES

The construction sector is always looking for efficient project management techniques. The purpose of this literature review is to build a solid project performance by carefully examining the inherent characteristics of construction projects. This review integrates various project elements, such as project scope, risk management, stakeholder engagement, resource allocation, and technological integration, which highlight the multifaceted nature of construction activities. A factual overview of certain key trends and findings from the research literature that relate to the construction sector encounters difficulties in achieving project success. This abstract also states that an in-depth investigation of the project performance is changing in the construction industry and the characteristics that go along with it. The paper investigates the complex relationship between project success criteria and quality assurance, sustainability, stakeholder engagement, risk management, cost control, scheduling, and industry reports and case studies. This paper provides an in- depth analysis of construction project. Keywords: Construction, Project Performance, Characteristics, Stakeholder Dynamics, Technology, Success Criteria, Sustainability, Risk Management.

Optimizing Human Resource Allocation in Construction Projects in Indonesia: A Comprehensive Analysis of Influencing Factors

The Indonesian construction sector, driven by population density and infrastructure demands, rebounded from a second-quarter 2020 contraction due to COVID-19, completing projects worth Rp1,311.4 trillion in 2020. Human resource (HR) allocation is critical in this labour-intensive industry, as it impacts project efficiency. This study explores factors influencing HR selection and allocation in construction projects, addressing the challenges of HR shortages or excess. A well-planned HR allocation strategy is essential for a successful project completion. This study delves into the relationships between HR factors, cost, and time performance, emphasizing the importance of effective HR management. It introduces hypotheses for investigation and proposes a comprehensive framework for assessing the impacts of HR, cost, and company-related factors on project performance. This research utilized qualitative analysis methodologies and expert validation to refine the instrument for a nuanced understanding of HR dynamics in construction projects. This study aims to obtain expert-validated factors that influence labour selection in construction projects to improve project performance. This study highlights the need for accurate estimation for HR, thorough planning, and implementation of effective HR recruitment policies.

Optimizing Task Scheduling and Resource Allocation in Computing Environments using Metaheuristic Methods

Optimizing system performance in dynamic and heterogeneous environments and the efficient management of computational tasks are crucial. This paper therefore looks at task scheduling and resource allocation algorithms in some depth. The work evaluates five algorithms: Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Firefly Algorithm (FA) and Simulated Annealing (SA) across various workloads achieved by varying the task-to-node ratio. The paper identifies Finish Time and Deadline as two key performance metrics for gauging the efficacy of an algorithm, and a comprehensive investigation of the behaviors of these algorithms across different workloads was carried out. Results from the experiments reveal unique patterns in algorithmic behaviors by workload. In the 15-task and 5-node scenario, the GA and PSO algorithms outclass all others, completing 100 percent of tasks before deadlines, Task 5 was a bane to the ACO algorithm. The study proposes a more extensive system that promotes an adaptive algorithmic approach based on workload characteristics. Numerically, the GA and PSO algorithms triumphed completing 100 percent of tasks before their deadlines in the face of 10 tasks and 5 nodes, while the ACO algorithm stumbled on certain tasks. As it is stated in the study, The above-mentioned system offers an integrated approach to ill-structured problem of task scheduling and resource allocation. It offers an intelligent and aggressive scheduling scheme that runs asynchronously when a higher number of tasks is submitted for the completion in addition to those dynamically aborts whenever system load and utilization cascade excessively. The proposed design seems like full-fledged solution over project scheduling or resource allocation issues. It highlights a detailed method of the choice of algorithms based on semantic features, aiming at flexibility. Effects of producing quantifiable statistical results from the experiments on performance empirically demonstrate each algorithm performed under various settings.