derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Features of project management in small enterprises in the aspects of training
Authors: А.Г. Дмитриев; А.Н. Романников; И.А. Шлуглейт
Year: 2023

Малые предприятия, служа своеобразным двигателем современной экономики, создают новые рабочие места, усиливают экономическую активность и являются источником инноваций. Эти организации выступают краеугольным камнем для развития предпринимательства и внедрения инноваций, что крайне важно для устойчивого развития общества. Но стоит учесть, что для эффективного ведения бизнеса малые предприятия сталкиваются с целым рядом трудностей. Одной из них является управление проектами, которое требует специальных навыков и знаний. Основная цель статьи — это исследование особенностей проектного менеджмента на малых предприятиях и значимости высшего образования в формировании компетенций в данной области. Особое внимание уделено роли университетов в поддержке малого бизнеса, предоставлении необходимых навыков и знаний для эффективного управления проектами. Статья базируется на обзоре современных исследований и практик в области проектного менеджмента на малых предприятиях, а также исследует подходы университетов к преподаванию этого ключевого аспекта бизнеса. Внимание сосредоточено на таких вопросах, как специфика проектного менеджмента на малых предприятиях, проблемы и вызовы, с которыми они сталкиваются, и как высшее образование может помочь в решении этих проблем.
 Small enterprises, serving as a kind of engine of the modern economy, create new jobs, enhance economic activity and are a source of innovation. These organizations are the cornerstone for the development of entrepreneurship and innovation, which is extremely important for the sustainable development of society. But it is worth considering that small businesses face a number of difficulties in order to conduct business effectively. One of them is project management, which requires special skills and knowledge. The main purpose of the article is to study the features of project management in small enterprises and the importance of higher education in the formation of competencies in this area. Particular attention is paid to the role of universities in supporting small businesses, providing the necessary skills and knowledge for effective project management. The article is based on a review of modern research and practices in the field of project management in small enterprises, and also explores the approaches of universities to teaching this key aspect of business. Attention is focused on such issues as the specifics of project management in small enterprises, the problems and challenges they face, and how higher education can help solve these problems.
A Permutation-Based Bees Algorithm for Solving Resource-Constrained Project Scheduling Problem
Authors: Mohamed Amine Nemmich; F. Debbat; M. Slimane
Year: 2019

In this article, a novel Permutation-based Bees Algorithm (PBA) is proposed for the resource-constrained project scheduling problem (RCPSP) which is widely applied in advanced manufacturing, production planning, and project management. The PBA is a modification of existing Bees Algorithm (BA) adapted for solving combinatorial optimization problems by changing some of the algorithm's core concepts. The algorithm treats the solutions of RCPSP as bee swarms and employs the activity-list representation and moves operators for the bees, in association with the serial scheduling generation scheme (Serial SGS), to execute the intelligent updating process of the swarms to search for better solutions. The performance of the proposed approach is analysed across various problem complexities associated with J30, J60 and J120 full instance sets of PSPLIB and compared with other approaches from the literature. Simulation results demonstrate that the proposed PBA provides an effective and efficient approach for solving RCPSP.
Unveiling Diversity: Empowering OSS Project Leaders with Community Diversity and Turnover Dashboards
Authors: Mariam Guizani; Zixuan Feng; Emily Arteaga; Luis Canas-D'iaz; Alexander Serebrenik; Anita Sarma
Year: 2023

Managing open-source software (OSS) projects requires managing communities of contributors. In particular, it is essential for project leaders to understand their community's diversity and turnover. We present CommunityTapestry, a dynamic real-time community dashboard, which presents key diversity and turnover signals that we identified from the literature and through participatory design sessions with stakeholders. We evaluated CommunityTapestry with an OSS project's contributors and Project Management Committee members, who explored the dashboard using their own project data. Our study results demonstrate that CommunityTapestry increased participants' awareness of their community composition and the diversity and turnover rates in the project. It helped them identify areas of improvement and gave them actionable information.
Towards a specific software development process for high integrity systems
Authors: I. Perseil
Year: 2011

The software development process is the main tool of project management. It serves to plan optimally all activities related to the production of software. It is mainly a scheduling policy of these activities which allows to control and to follow them in time.We moved here toward an adaptation of the RUP for real-time systems. First, our approach is to enrich the current process with other phases, secondly, we consider that the requirements of strategic type must be completely identified, specified, verified since they are those which lead all the development; last, we are redefining the lifecycle which puts the models of highest level of abstraction (analysis, architecture) as the main objectives to reach. The enrichment of the development process relates to additional phases and a parallelization of its sub-processes. The software development process that we propose is subdivided into three sub-processes whose principal is led by the strategic use cases. This allows a seamless development, involving intermediate languages to move gradually from the informal to the formal and provides the opportunity to compose languages of different types.
RS-SVM Machine Learning Approach Driven by Case Data for Selecting Urban Drainage Network Restoration Scheme
Authors: Li Jiang; Zheng Geng; Dong-Hwan Gu; Shuai Guo; Rongmin Huang; Haoke Cheng; Kaixuan Zhu
Year: 2023

ABSTRACT Urban drainage pipe network is the backbone of urban drainage, flood control and water pollution prevention, and is also an essential symbol to measure the level of urban modernization. A large number of underground drainage pipe networks in aged urban areas have been laid for a long time and have reached or practically reached the service age. The repair of drainage pipe networks has attracted extensive attention from all walks of life. Since the Ministry of ecological environment and the national development and Reform Commission jointly issued the action plan for the Yangtze River Protection and restoration in 2019, various provinces in the Yangtze River Basin, such as Anhui, Jiangxi and Hunan, have extensively carried out PPP projects for urban pipeline restoration, in order to improve the quality and efficiency of sewage treatment. Based on the management practice of urban pipe network restoration project in Wuhu City, Anhui Province, this paper analyzes the problems of lengthy construction period and repeated operation caused by the mismatch between the design schedule of the restoration scheme and the construction schedule of the pipe network restoration in the existing project management mode, and proposes a model of urban drainage pipe network restoration scheme selection based on the improved support vector machine. The validity and feasibility of the model are analyzed and verified by collecting the data in the project practice. The research results show that the model has a favorable effect on the selection of urban drainage pipeline restoration schemes, and its accuracy can reach 90%. The research results can provide method guidance and technical support for the rapid decision-making of urban drainage pipeline restoration projects.
The Use of Project Management Techniques and Its Positive Impacts on Project Outcomes in New Zealand Businesses
Authors: Channa Gunasekera; Olufemi Muibi Omisakin
Year: 2023

The use of project management (PM) is of immense value in achieving project success that ultimately assists businesses to thrive and contribute to the growth of an economy. This research has one main research question “How does the use of PM techniques have positive impact on project outcomes in New Zealand (NZ) businesses?”. The research adopted inductive approach to build theory and qualitative research methodology to address the main research question using four research objectives. This is an exploratory research using a case study research strategy that is coherent with the inductive qualitative research design. Two organisations representing the construction services and the Information and Communication Technology (ICT) services business in NZ were chosen. In-depth interviews were used to collect data, data analysis was completed through thematic analysis techniques. Findings were assessed through a theoretical construct mainly based on the Project Management Institute’s (PMI) PM framework. Findings indicated that the two organisations had strong focus on PM function supported by their organisational structures. Organisation A relied more on Work Breakdown Structure (WBS) and Gantt chart technics while organisation B adopted an agile approach. Both considered designating project manager when deploying a formal PM function. While Company A has not implemented dedicated technology to support PM function, Company B has though not fully utilised. Hopefully, findings from this study will assist organisations in the construction and ICT services business sectors being significantly reliant on PM function to deliver project outcomes and to be successful in their businesses.
Research on human rights and large-scale sport events from 1990 to 2022: a scoping review
Authors: Stacy-Lynn Sant; Christine Maleske; Kathryn Vanderboll
Year: 2023

ABSTRACT Hosting large-scale sport events presents inherent human rights risks and opportunities across the event life cycle due to their size and complexity. Few studies on the planning, organising, management, and delivery of large-scale sport events incorporate a human rights perspective; however, human rights outcomes may be implicit in research on event impact, legacy, leverage, and event-led development. This paper presents a scoping review of the state of research on human rights and large-scale sport events in sport management and related fields for the time period 1990–2022. Specifically, our review identifies and maps existing scholarship on human rights issues, summarises findings, and highlights areas for future research. We utilised a range of scholarly articles, reports, and human rights instruments to develop a list of 14 human rights topics related to the study of large-scale sport events. Using the Joanna Briggs Institute’s scoping review framework, we searched 100 sport-related journals across 10 databases, yielding 279 articles. Our deduplication and data extraction processes were supported by DistillerSR project management software. We followed the PRISMA Scoping Review Extension guidelines to present our results. The most prominent human rights issues examined are equity and inclusivity and public health, well-being, and quality of life. In contrast, there was a dearth of research on issues, such as children’s rights and safeguarding and privacy rights of athletes, spectators, and consumers. Our review highlighted a need for more empirical and theory-driven scholarship in the area of human rights and sport events.
Student Project Management System (SPMS)
Authors: P. Porntrakoon; Chayapol Moemeng
Year: 2022

Most undergraduate programs in Thailand require their students to develop student projects as the partial fulfilment of the program completion. The students who cannot initiate any project idea may not graduate on time. Therefore, the coordinator-led method can be implemented to help them select a project title. Manual management of student projects in the coordinator-led method is complicated and inefficient. This paper introduces a web-based application called Student Project Management System (SPMS). The application helps students, project advisors, and faculty administrators manage the project from the beginning to the end. The main features of this system are (i) project title recommendation, (ii) project and team prioritization, (iii) project and team matching, project management and scoring, and report generation. Currently, the system contains 205 projects and 228 users: 201 teams, 25 project advisors, and 2 administrators of the faculty.
Project management tools in renewable energy integration: A review of U.S. perspectives
Authors: Adewale Wasiu Adegboyega; Emmanuel Chigozie Ani; Stephen Opeyemi Oladunni; Abrar Shahriar Pramanik
Year: 2024

The integration of renewable energy into the U.S. electricity grid is a multifaceted challenge that demands innovative project management approaches. This review article explores the current landscape of renewable energy integration in the United States, emphasizing the diversity of renewable sources such as solar, wind, hydropower, geothermal, and biomass. It examines the state of integration, highlighting significant progress and persistent challenges, particularly in grid stability, regional variations, and regulatory frameworks. Key stakeholders, including federal and state agencies, utilities, independent power producers, and advocacy organizations, play pivotal roles in shaping the renewable energy sector. The article delves into the critical importance of project management, outlining how effective coordination, risk mitigation, and performance optimization are essential for successful project execution. Various tools and techniques, including advanced analytics, agile methodologies, and stakeholder engagement strategies, are analyzed for their effectiveness in navigating the complexities of renewable energy projects. The review also addresses the emerging trends and innovations in project management, such as the adoption of artificial intelligence, machine learning, and sustainability-focused frameworks, which are poised to revolutionize the sector. It concludes with practical recommendations for project managers, emphasizing the need for flexibility, technological awareness, stakeholder collaboration, and data-driven decision-making to overcome challenges and drive the transition to a sustainable energy future. By providing a comprehensive overview and actionable insights, this article aims to equip project managers and stakeholders with the knowledge needed to successfully integrate renewable energy into the U.S. grid, thereby contributing to the nation's goal of a resilient and sustainable energy system. 
Keywords: Renewable Energy, Project Management, Grid Integration, Stakeholder Engagement, Sustainability, Technological Advancements, Energy Transition, Review.
A Review of Introduction of Automated and Robotic Systems for Optimization of Logistic Processes within Projects and Programs
Authors: I. Khalatska; Zhenia А. Koval
Year: 2024

In today’s world, innovations in project management are becoming a determining factor for achieving competitive advantages. This article discusses the topical issue of innovative methods of process management in projects and programs, focusing on their impact on logistical aspects. The main goal is to unleash the potential of automated and robotic systems to optimize and increase the efficiency of logistics processes in projects. The article highlights the key aspects of the implementation of automation in logistics processes, in particular the speed and accuracy of tasks, optimization of routes and planning, reduction of errors and costs, as well as ensuring continuity of work. It is noted that these aspects can significantly improve the productivity and efficiency of logistics processes, contributing to the achievement of the set goals of projects and programs. Examples of successful implementation of automated and robotic systems in real projects are provided. In particular, the implementation of a tracking system in the company SystemGroup is considered, automation of warehouse operations in Forstor Industry and the use of automated vehicles in logistics networks. These examples illustrate the concrete benefits and successes that can be achieved through the latest technologies in logistics projects. However, it is emphasized that the benefits of using automation and robotics include increased productivity, reduced errors, and increased logistics management capabilities. Innovative methods of process management in projects and programs, especially taking into account logistical aspects, are becoming an important factor in achieving high efficiency and competitiveness.
Effects of Visualizing Technical Debts on a Software Maintenance Project
Authors: Ronivon Dias; P. Neto; I. Ibiapina; G. Avelino; Otávio Cury da Costa Castro
Year: 2019

The technical debt (TD) metaphor is widely used to encapsulate numerous software quality problems. She describes the trade-off between the short term benefit of taking a shortcut during the design or implementation phase of a software product (for example, in order to meet a deadline) and the long term consequences of taking said shortcut, which may affect the quality of the software product. TDs must be managed to guarantee the software quality and also reduce its maintenance and evolution costs. However, the tools for TD detection usually provide results only considering the files perspective (class and methods), that is not usual during the project management. In this work, a technique is proposed to identify/visualize TD on a new perspective: software features. The proposed technique adopts Mining Software Repository (MRS) tools to identify the software features and after the technical debts that affect these features. Additionally, we also proposed an approach to support maintenance tasks guided by TD visualization at the feature level aiming to evaluate its applicability on real software projects. The results indicate that the approach can be useful to decrease the existent TDs, as well as avoid the introduction of new TDs.
Advancing lean construction through Artificial Intelligence: Enhancing efficiency and sustainability in project management
Authors: Rasheed O. Ajirotutu; Baalah Matthew; Patrick Garba; Johnson Segun Olu
Year: 2024

This study explores the transformative potential of artificial intelligence (AI) within the lean construction framework, addressing the pressing need for enhanced efficiency, sustainability, and innovation in the construction industry. Lean construction principles, which emphasize waste minimization and value maximization, align seamlessly with AI’s capabilities, offering a paradigm shift in project management. The research employs a comprehensive review of contemporary literature, analyzing key applications of AI in optimizing resource utilization, streamlining workflows, and fostering sustainability through renewable energy integration and environmental impact reduction.
The findings reveal that AI-driven tools significantly enhance project efficiency by automating repetitive tasks, facilitating predictive analytics, and enabling real-time data-driven decision-making. AI also promotes collaboration and transparency among stakeholders through secure digital platforms, while supporting sustainability goals through material optimization and energy-efficient processes. However, critical barriers to AI adoption persist, including economic constraints, data security challenges, and the absence of standardized regulatory frameworks.
The study concludes that AI represents a pivotal driver for advancing lean construction, with its integration promising unprecedented improvements in efficiency and sustainability. To overcome the challenges identified, the study recommends the establishment of robust regulatory policies, investment in workforce training to enhance AI competency, and sustained research and development to address technical and economic hurdles. These measures are essential to ensuring that the construction industry fully harnesses the potential of AI, paving the way for a future characterized by collaborative, efficient, and sustainable practices.
This research contributes valuable insights to the ongoing discourse on AI in lean construction, serving as a foundation for further exploration and practical implementation.
Research on Engineering Application based on BIM+ Intelligent Construction Technology
Authors: Xiongzhi Cao; Maoli Lan; Siyu Wang; Yaxin Li; Lian Li; Li Zhao; Yong Hou; Yujie Zhang
Year: 2024

With the rapid development of the construction industry, Building Information Modeling (BIM) and intelligent construction technology have gradually become important means to improve project management and construction efficiency. This article takes the Yibin Start Square project as an example to discuss the specific methods and effects of BIM+ intelligent construction technology in engineering applications. By introducing BIM technology, the entire process of information management from design, construction to operation and maintenance has been realized, and the accuracy and visualization level of engineering data have been improved. Combining intelligent construction technologies, such as drone inspections, robot construction, and the Internet of Things (IOT), further optimizes the construction process and improves construction quality and safety. The research results show that the application of BIM+ intelligent construction technology in the Yibin Start Square project not only effectively reduced the project cost, but also significantly shortened the construction period, and has extensive promotion value. This article aims to provide reference for similar engineering projects to promote the digital and intelligent transformation of the construction industry. The direction of intelligent construction is of great significance to the modernization and upgrading of the construction industry, as well as to my country's infrastructure construction and urban modernization process.
Time and Cost Management in Water Resources Projects Utilizing the Earned Value Method
Authors: Ahmed Rasul Hussein; Sina Fard Moradinia
Year: 2024

Today, the development of infrastructure and construction projects in developing countries is of paramount importance. Water projects, in particular, play a crucial role in advancing agriculture, industry, and the economy. The success of these projects hinges on the effective management of time, cost, and quality. The most critical indicator of a project's success is its completion within the forecasted time and budget leading up to its operation. This study aims to assess the impact of Earned Value Management (EVM) 's impact on managing project schedules and budgets in water resource projects. The earned value method was employed to ascertain if the project was ahead or behind schedule and whether the costs were within the budget or had overrun. The values of the Earned Value Index were analyzed at three stages of project implementation. Examining the Schedule Variance (SV) at various phases indicates that a lower percentage is more advantageous for the project. Initially, the SV was 40%, signaling a delay mainly due to the delayed start of operations in the injection gallery and access points. This improved to 25% in the second stage, with the commencement of previously lagging activities. The schedule variance decreased to 11.6% in the final stage, aligning closer to the project schedule's end. Additionally, the Schedule Performance Index (SPI) value, which reflects the efficiency of project management in terms of timeliness, improved from a weak start of 0.6 to 0.88 (with 1.0 indicating that project performance is on target).