Integrated Project Management Research Articles

Integrating project management with advanced cooling solutions for data centers: A path to enhanced energy efficiency

Data centers play a crucial role in modern digital infrastructure, but their energy consumption and associated carbon footprint are significant concerns. Among the various energy-consuming components of data centers, cooling systems stand out as major contributors. This paper explores the integration of project management principles with advanced cooling solutions to enhance energy efficiency in data centers. By effectively managing projects and implementing innovative cooling technologies, data center operators can achieve significant reductions in energy consumption and operational costs. The integration of project management practices with advanced cooling solutions involves several key steps. First, project management methodologies such as Agile or Waterfall are applied to plan and execute the implementation of advanced cooling technologies. This includes assessing current cooling systems, identifying suitable advanced solutions, and developing a timeline for implementation. Next, advanced cooling solutions such as liquid cooling, containment systems, or free cooling are deployed to reduce the energy required for cooling data center equipment. One of the primary benefits of integrating project management with advanced cooling solutions is enhanced energy efficiency. Advanced cooling technologies can significantly reduce the energy consumed by data center cooling systems, leading to lower operational costs and a smaller carbon footprint. Additionally, the use of project management methodologies ensures that the implementation of these technologies is carried out efficiently and effectively. Furthermore, this integration can lead to improved data center performance and reliability. By optimizing cooling systems, data center operators can ensure that IT equipment operates within optimal temperature ranges, reducing the risk of overheating and downtime. Additionally, the implementation of advanced cooling solutions can future-proof data centers against increasing heat loads from high-density computing equipment. In conclusion, integrating project management with advanced cooling solutions offers a promising path to enhance energy efficiency in data centers. By adopting this approach, data center operators can achieve significant energy savings, reduce their environmental impact, and improve overall operational efficiency.

FOSTERING CROSS-DISCIPLINARY COLLABORATION IN OFFSHORE PROJECTS: STRATEGIES AND BEST PRACTICES

In the realm of offshore engineering projects, the integration of diverse professional expertise is essential for successful planning and execution. This paper explores strategies and best practices for fostering cross-disciplinary collaboration in offshore projects, aiming to enhance project outcomes and mitigate risks. The abstract begins by highlighting the significance of cross-disciplinary collaboration in addressing the complex challenges inherent in offshore endeavors. It delineates the various strategies proposed for effective collaboration, including establishing clear project objectives, creating a collaborative culture, implementing robust communication channels, promoting mutual understanding, and encouraging interdisciplinary training. Furthermore, it outlines best practices such as forming cross-functional teams, utilizing integrated project management tools, holding regular interdisciplinary meetings, and embracing diversity. Through the analysis of case studies and examples, this paper illustrates the application of these strategies and best practices in real-world offshore projects, emphasizing successful outcomes and key lessons learned. The abstract concludes by emphasizing the importance of fostering cross-disciplinary collaboration in offshore engineering projects and suggests avenues for future research to further enhance collaboration methods and outcomes in this critical field.
 Keywords: Cross-Disciplinary Collaboration, Offshore Projects, Integrating Diverse Professional Expertise, Planning, Execution, Offshore Engineering Projects.

Digital twin modeling: A comparison of current approaches

Background The implementation of digital twins is of growing importance due to increasing interest. Various procedural models are used or are currently being developed in theory and practice. However, there is no generally accepted model. The aim of the present study is to record and analyze existing models and from the perspective of deriving development trends. Method In the first step, a systematic literature search is carried out; in the second step, the results are subjected to a comparative analysis. Results The study provides an overview of common process models for implementing Digital Twins. Fifteen approaches were selected for a detailed analysis. 1/3 are hybrid process models (i.e. a combination of several models), sequential and evolutionary models still dominate, and the phase length is between 5 – 10 phases. In other words, the majority of the existing process models analysed surprisingly follow a more sequential approach. Discussion Process models with a sequential character - with and without accompanying project management - dominate, but hybrid approaches are increasing in importance: (a) on the one hand as an integrated project management component, i.e. a combination of agile and classic project management, since these meet the digital twin requirements in terms of hardware (= rather classic approach), software (= more agile approach) and data management; (b) on the other hand, the merging or mutual supplementation of existing data science approaches - such as data mining with CRISP-DM - with the above project management approaches is to be expected.

Enhancing project success: the impact of sociotechnical integration on project and program management using earned value management systems

PurposeEarned value management systems (EVMS), also called integrated project and program management systems, have been greatly examined in the literature, which has typically focused on their technical aspects rather than social. This study aims to hypothesize that improving both the technical maturity of EVMS and the social environment elements of EVMS applications together will significantly impact project performance outcomes. For the first time, empirical evidence supports a strong relationship between EVMS maturity and environment.Design/methodology/approachData was collected from 35 projects through four workshops, attended by 31 industry practitioners with an average of 19 years of EVMS experience. These experts, representing 23 organizations, provided over 2,800 data points on sociotechnical integration and performance outcomes, covering projects totaling $21.8 billion. Statistical analyses were performed to derive findings on the impact of technical maturity and social environment on project success.FindingsThe results show statistically significant differences in cost growth, compliance, meeting project objectives and business drivers and customer satisfaction, between projects with high EVMS maturity and environment and projects with poor EVMS maturity and environment. Moreover, the technical and social dimensions were found to be significantly correlated.Originality/valueKey contributions include a novel and tested performance-driven framework to support integrated project management using EVMS. The adoption of this detailed assessment framework by government and industry is driving a paradigm shift in project management of some of the largest and most complex projects in the U.S.; specifically transitioning from a project assessment based upon a binary approach for EVMS technical maturity (i.e. compliant/noncompliant to standards) to a wide-ranging scale (i.e. 0–1,000) across two dimensions.

Enhancing Project Performance through Effective Team Communication: A Comprehensive Study Integrating Project Management Quotient, Trust, and Management Information Systems

The aim of this study was to explore the relationship between project manager competence and project performance with the mediating role of team communication, employee trust, employee capability and team atmosphere. To achieve its objectives, this study used a quantitative research approach. Data was collected from 175 employees working on various projects in China. A structured questionnaire was used to collect the data from the respondents. All items were measured on a five-point Likert scale adapted from previous studies. Collected data was analyzed by using SPSS. The findings of the study showed that the performance of a project is significantly affected by the competencies of project managers. Moreover, the findings also showed that this relationship is significantly and positively mediated by team communication, employee trust, employee capability and team atmosphere. The findings show that the effectiveness of project manager competencies in enhancing project performance is influenced by these mediating factors which contribute to the success of the project. This research contributes to the theoretical understanding of project management by highlighting the multifaceted nature of project performance. It underscores the importance of holistic project management practices, where emphasis on both project manager competence and team dynamics is essential. Practically, the study offers insights for organizations and project managers, emphasizing the need for comprehensive skill development and fostering positive team environments. This study's originality lies in its comprehensive exploration of the mediating roles within the context of project manager competence and its implications in a globalized business environment.

Project Management as a Tool For Effective Formation of Innovative Library Media Space

The purpose of the work is to study the role of project management as a key tool in the process of forming an innovative media space in libraries. The research is aimed at revealing methods, techniques and best practices in the application of project management for the successful development of the media space of the library, in particular at studying the processes of planning, implementation and evaluation of projects in the context of innovative initiatives. The research methodology is based on a set of general scientific methods of generalisation, systematisation and forecasting. In order to identify approaches to the forms and content of project management components in modern libraries, an aspect-by-aspect analysis of specialised literature was applied. The method of information diagnostics was used to study the state of the media space of libraries and innovative projects that have already been implemented or are planned in the library field. Scientific novelty. Emphasis is placed on changes in library practice in the context of growing demands for digital library services, and the need to integrate project management as a key tool for solving the problems of innovative library development and improving the quality of user service is actualised. Conclusions. It was found that the application of the project management methodology in libraries is due to the innovativeness, integration and complexity of tasks related to the introduction of modern digital technologies, the dynamic external environment of the modern library, the need to coordinate various types of resources (financial, time, professional) and to meet deadlines project. The necessity of integrating project management into library practice for effective formation of innovative media space in libraries, implementation of new digital initiatives for further development of the user service sphere was considered and proved. The methods, techniques and best practices of applying project management for the successful development of the media space of the library have been determined. General scientific methods of generalisation, systematisation and forecasting are used for the analysis and generalisation of specialised literature. Keywords. Innovative media space of the library, project management, digital library projects, digital transformations of the library, competencies of library specialists.

DEVELOPMENT OF A KNOWLEDGE BASE ON THE INTEGRATION OF PROJECT MANAGEMENT METHODOLOGIES

In the context of global disruptions caused by pandemics, massive armed conflicts, and other destructive factors, the economic sector requires a reevaluation of paradigms and the application of new approaches and tools for project management. Risk management, as a component of the management system, is undergoing transformation in a state of perpetual uncertainty and turbulence. Project management methodology, as a means of achieving defined goals, cannot be solely based on predictable attributes and must provide flexibility in response to dynamic changes in the external and internal environment. The rapid pace of digital transformation is shaping a new understanding of the digital space, its content, automation tools, and information support. The rapid development of information technologies based on artificial intelligence and the intensive migration of production and management processes to remote forms necessitate business adaptation to new conditions and effective application by project managers. The information field is overloaded with various project management methodologies, a large amount of derivative and secondary information characterized by a lack of clear structure and low practical value. The continuous transformation of the modern environment requires scientific research to explore the development and adaptation of flexible and hybrid approaches to project management by use of modern information systems. The purpose of this article is to develop a concept of integrating project management methodologies with the resources of a corporate knowledge base. The article explores current knowledge in project management methodology through the genesis and analysis of document interrelationships, which allows for the identification of dependencies and potential synergistic effects of such methodologies. Integration methods and components of these methodologies are analyzed, revealed, and complemented to ensure effective project management. A concept is developed to facilitate a creative approach to project management with an interactive system for accumulation, structuring, implementation, retrospective, and adaptation of accumulated knowledge regarding project management approaches within an enterprise. Principles for constructing a corporate knowledge base on project management methodologies are formulated, and approaches to applying accumulated knowledge are discussed. The proposed tool is implemented with the support of modern information systems, enabling the application of adaptive, valid, and effective project management methods tailored to individual project requirements. The conclusion is drawn that the proposed concept of a corporate knowledge base, combined with existing methods of integrating project management methodologies, is a promising foundational tool for implementing a creative and proactive approach to project management.

Project Integration Management and Performance of National Housing Corporation Projects In Kenya

Project Integration Management and Performance of National Housing Corporation Projects In Kenya

Project Integration Management and Performance of National Housing Corporation Projects in Kenya

Project Integration Management and Performance of National Housing Corporation Projects in Kenya

A multi-criteria decision-making model for analyzing a project-driven supply chain under interval type-2 fuzzy sets

Reviewing and integrating decisions in the supply chain and project management is crucial. This problem is known as a project-driven supply chain problem. By the growing dependency of project-driven companies on suppliers since they prefer to concentrate on their core and subcontracting processes, the project-based organization's dependence on suppliers has increased. A project-driven supply chain (PDSC) focuses on integrating project management activities into the supply chain. In this paper, a new model is presented for the integration of supply chain and project management decisions. Firstly, a new method is proposed to determine the resilience score of suppliers. This new model consists of three parts: the weighting of criteria, the weighting of experts, and the ranking of suppliers. To give weight to the experts, a new version of the combinative distance-based assessment (CODAS) method is presented based on the average and positive ideal concepts. Also, the importance of the criteria is specified by an expanded best-worst method (BWM). Computing the resilience score of suppliers is done through a developed CODAS method that is extended by the average and positive concepts. Furthermore, in order to consider the uncertainty of project-driven supply chain problems, interval type-2 fuzzy sets (IT2FSs) are used. Secondly, a new subtraction operation is defined to avoid producing negative in recursive critical path method (CPM) calculations in the IT2F environment. Also, the criticality score of the project's activities is defined. According to the criticality and resilience indexes of activities, suggestions are made to project management to prevent delays. Finally, a case study of hospital construction is solved to illustrate the strengths of the proposed model.

Potential features of building information modeling (BIM) for application of project management knowledge areas in the construction industry

The construction industry (CI) plays a vital role in infrastructure development and improves the socio-economic status with employment opportunities and contribution to gross domestic progress (GDP) of countries. However, its productivity has diminished in recent years due to increasing complexities in construction projects (CPs) and lack of adoption of novel technologies such as Building Information Modeling (BIM). Also, there is a significant need of polishing the capabilities of construction practitioners to meet the project requirements in agreement with project management knowledge areas (PMKAs). This study, therefore, focused on identification and evaluation of factors necessary for measurement of extent of application of PMKAs. Subsequently, noteworthy features of BIM helpful for enhancing the capabilities of project managers (PMs) in application of PMKAs were identified from literature. A total of thirty-three factors for measurement of extent of application of PMKAs and sixty-six features of BIM helpful in enhancing the capabilities of PMs in application of PMKAs were found. The detailed study and analysis of these ninety-nine factors with the help of previous studies suggested that extent of application of PMKAs is measured with three sub-tasks i.e., plan, manage/develop, and monitor/control. In addition, by virtue of remarkable features and services of BIM, it helps in enhancing the capabilities of PMs in applying PMKAs: project integration, scope, cost, time, quality, resource, communications, procurement, risk, safety, and stakeholder management.

Optimization of Resource Allocation and Task Allocation with Project Management Information Systems in Information Technology Companies

This study proposes a novel approach to designing an integrated Resource Allocation and Task Allocation Optimization System (RATAOS) using Enterprise Architecture (EA) to improve project management efficiency. The proposed approach integrates Project Management Information System (PMIS) with an optimization system designed using a random forest model and Natural Language Programming (NLP). The integrated system optimizes resource and task allocation, reducing operational costs by 14% and planning phases by 88.7%. Project completion time increased by 50.80%, demonstrating the effectiveness of the integrated system. The purpose of this study is to find a solution for PMIS to be used as an automatic data-driven Resource and Task Allocation Optimization System. The technique used in this study is service integration between the existing PMIS with the Resource and Task Allocation Optimization System.

The Model of Project Management as a Sustainable Pedagogical Device: Case Study Research in the Tertiary Education Environment

The objective of the research was to analyse the use of project management as a sustainable pedagogical device capable of fostering in tertiary education students the development of those transversal skills that enhance their sustainable employability. The qualitative research design was the emergent grounded theory, applied through a case study methodology (first exploratory and then explanatory). The “Seven-factor model of project management as a sustainable pedagogical device” for the development of transversal skills in tertiary education was the main result presented. It is composed of the factors that can be transposed from practice into the context of tertiary education and contains a description of the method for this translation. Moreover, the “holistic project management integration approach in tertiary education” was presented, and it was explained why it is an effective top-down transformation process for integrating project management in every program or academic level. Learning project management proves effective in enhancing students’ employability by fostering a process of critical reflection that enables them to develop a sustainable career aligned with their expectations and personal growth as individuals, professionals, and sustainable citizens.

Update of the operational production system and organizational structure as the basis of the innovative development of the construction enterprise

The article presents a formalized economic-mathematical model that makes it possible to estimate the effect of the joint introduction of information modeling in construction and an integrated project management system to solve the tasks of extracting from the overall effect of the enterprises' activity the share that arises as a result of the introduction of innovations.
 It was determined that the analysis of empirical data is a mandatory condition for the formation of proposals for improving the activities of economic entities, in general, and the development of direct measures within the limits of individual functional types of activity, in particular. In order to obtain up-to-date and verified information about the activities of the studied enterprises, the work pays attention to the analysis of trends in the development of domestic construction. An analysis of the destabilizing effect of factors on the economic security of these enterprises is presented using the approaches and indicators of the rating assessment of Doing Business business conditions. This approach allows detailing the general state of the business environment at the macro level and explaining the deep processes of the response of the enterprise management system to the challenges of modernity, which form a certain security environment at different levels of management of complex socio-economic systems.
 A model of flexible management of the enterprise has been developed to ensure its economic security, which is built on the basis of two-component neural network diagnostics, taking into account the needs of the main stakeholders and determining the internal and external factors influencing the enterprise's activities. The model allows management to determine the most relevant list of management decisions and take into account external and internal threats, which ensures an increase in the level of economic security of the enterprise due to sufficient flexibility of the management system and timely response to current threats.

How Artificial Intelligence can leverage Project Management Information system (PMIS) and data driven decision making in project management

This article focuses on the opportunities of utilizing Artificial intelligence in project management in general. Special emphasis to project management data driven decision making and the relevant tools represented in processes, tools and techniques of PMIS. The data used to support this research is collected from primary and secondary sources to emphasize the research paper results. The approach used in data collection was a qualitative method where interviews conducted. Advanced projects and cases from Dubai and UAE were also investigated. The results showed that with the creation of big data, AI can now be more than just technology and is capable of performing more complex tasks using advanced techniques and algorithms. AI helps more effectively through integrating project management phases and the entire project lifecycle process. Bringing AI to the project management domain across the world can provide a sustainable world for future generations. It also assists in faster and smarter decisions. It is recommended to monitor AI until users are satisfied and can trust the systems outcome. AI will have a tremendous growth as projects in smart cities are growing bigger , complex and demanding.

Project Management in Central Banks

Abstract In this ever-changing environment of technological innovations central banks are strongly committed to fulfilling their key objectives of preserving monetary and financial stability, but also make efforts to adapt to new market requirements. On the path of technological transformation of financial systems, central banks face many challenges stemming from, inter alia, new less regulated and decentralized financial innovative services, cyberattacks, and endangered cyber security. Central banks need strong project management to successfully address these processes and that should be done in line with the highest international standards. The paper analyses the implementation of project management in central banks according to the international standards. The authors present possible division of roles and responsibilities in the project organization structure in central banks based on these international standards. The standardized integrated project management activities and associated practices are described and presented in the context of project management in central banks. The authors conclude that the application of international standards is crucial for successful project management in central banks in order to ensure that the projects are implemented on time and within the envisaged scope and budget, thereby ensuring high quality results, efficient deployment of human resources, benefits realization and value creation for the organization.

Formation of the system of integrated risk appetite management during it project implementation

The object of research is the risk appetite of an IT project. It is important for the implementation of an IT project to determine the critical values of indicators important for the activity, which predetermines the need to define and manage risk appetite. Risk appetite management in the implementation of an IT project directly affects its successful implementation and requires theoretical and methodological foundations for its consideration in the project management system. By establishing risk appetite, the project manager determines how much risk s/he is willing to take in order to achieve the key goals of the project. The definitions of "risk appetite", "risk tolerance", "risk appetite" in the implementation of IT projects have been clarified. It is determined that risk appetite should be considered as an integral set of IT project risk, which affects the achievement of the set goals: completion of the project in time, volume and budget that have been agreed. Risk tolerance defines acceptable limits for individual operational risks of the project. This will allow project participants to understand the limits of their authority and responsibility in risk management. A survey of project managers was conducted on their understanding of risk appetite and its use in project management. As a result, the most significant risks and the most used indicators and methods for establishing the risk appetite of IT projects were identified. This made it possible to generalize the experience of establishing and using risk appetite in IT projects. Also, based on the results of the study, an integrated risk appetite management system for the implementation of an IT project is proposed. This will allow balancing the permissible risk limits and the desired goals of its implementation during the implementation of the IT project. At the same time, an important place is occupied by taking into account the interests of stakeholders and their vision of the results, taking into account the risks. The findings reported here could make it possible to systematize risk management of IT projects and determine it as part of a single integrated project management process

Implementing QR codes in academia to improve sample tracking, data accessibility, and traceability in multicampus interdisciplinary collaborations.

The growing number of multicampus interdisciplinary projects in academic institutions expedites a necessity for tracking systems that provide instantly accessible data associated with devices, samples, and experimental results to all collaborators involved. This need has become particularly salient with the COVID pandemic when consequent travel restrictions have hampered in person meetings and laboratory visits. Minimizing post-pandemic travel can also help reduce carbon footprint of research activities. Here we developed a Quick Response (QR) code tracking system that integrates project management tools for seamless communication and tracking of materials and devices between multicampus collaborators: one school of medicine, two engineering laboratories, three manufacturing cleanroom sites, and three research laboratories. Here we aimed to use this system to track the design, fabrication, and quality control of bioelectronic devices, in vitro experimental results, and in vivo testing. Incorporating the tracking system into our project helped our multicampus teams accomplish milestones on a tight timeline via improved data traceability, manufacturing efficiency, and shared experimental results. This tracking system is particularly useful to track device issues and ensure engineering device consistency when working with expensive biological samples in vitro and animals in vivo to reduce waste of biological and animal resources associated with device failure.

Modeling the Capabilities of High-Performing Project Management Offices in General Contracting Companies

The contemporary literature emphasizes a need to delve into how project management offices (PMOs) can be effectively operated in construction organizations by embedding integrated project management rather than relying on stand-alone project controls. However, capabilities for running high-performing PMOs in this complex industry are still unknown to this growing body of knowledge, which is considered a barrier to the realization of their full potential. To address this gap, the current research explores a factor structure for core capabilities using a cross-validation method with survey data from 395 experts in general contracting organizations. The results revealed that the five-factor measurement model encompasses constructs of competent human resources and supportive culture, strategic alignment, delivery support, knowledge management, and leveraging organizational capabilities. This study extends the current literature by establishing a new measurement model explaining the dimensionality of PMO capabilities.

A convolutional neural network for the resource-constrained project scheduling problem (RCPSP): A new approach

All projects require a structure to meet project requirements and achieve established goals. This framework is called project management. Therefore, project management plays an important role in national development and economic growth. Project management includes various knowledge areas such as project integration management, project scope management, project schedule management, etc. The article focuses on the resource-constrained project scheduling known as problem so- called the resource-constrained project scheduling problem (RCPSP). The RCPSP is a part of schedule management. The standard RCPSP has two important constraints, resource constraints and precedence relationships of activities during project scheduling. The objective of the problem is to optimize and minimize the project duration, subject to the above constraints. In this paper, we develop a convolutional neural network approach to solve the standard single mode RCPSP. The advantage of this algorithm over conventional methods such as metaheuristics is that it does not need to generate many solutions or populations. In this paper, the serial schedule generation scheme (SSGS) is used to schedule the project activities using an evolved convolutional neural network (CNN) as a tool to select an appropriate priority rule to filter out a candidate activity. The evolved CNN learns according to the eight project parameters, namely network complexity, resource factor, resource strength, average work per activity, etc. The above parameters are the inputs of the network and are recalculated at each step of the project planning. Moreover, the developed network has priority rules which are the outputs of the developed neural network. Therefore, after the learning process, the network can automatically select an appropriate priority rule to filter an activity from the eligible activities. In this way, the algorithm is able to schedule all project activities according to the given project constraints. Finally, the performance of the Convolutional Neural Network (CNN) approach is investigated using standard benchmark problems from PSPLIB in comparison to the MLFNN approach and standard metaheuristics.