derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Integration of Building Information Modeling (BIM) and Big Data in China: Recent Application and Future Perspective
Authors: Wenfeng Xia; Yuhong Zheng; Lele Huang; Zhen Liu
Year: 2023

The integrated application of building information modeling (BIM) and big data (BD) has received widespread attention, and has been involved in smart construction sites, construction project management, and construction project budgeting. Nevertheless, research on the integrated implementation of BIM and BD in China mainly concentrates on a project stage or profession, the exploration of technology integration mostly focuses on the theoretical level, and the research distribution is scattered. As such, the intention of this paper is to reveal the research history of BIM and BD in China, as well as to study the research methodologies and research fields for a more thorough knowledge of the BIM and BD research and development status in the Chinese construction sector, which adopts a mixed research method that uses a quantitative research via two analytical software tools, i.e., CiteSpace version of 6.1.R6 and the Statistical Analysis Toolkit on line edition for Informetrics software packages, to conduct a macro bibliometric analysis on BIM and BD research in the China National Knowledge Infrastructure database, and provides a follow-up micro qualitative research with content analysis. To ensure the comprehensiveness of the research, the core articles of the topic in the web of science database have been sorted out and analyzed for fully understanding the development of BIM and BD in the field of Chinese construction, resulting in identifying the current research hotspots and trends in China. The results suggest that the popular research keywords on BIM and BD in China since the year 2015 have mainly been focused on informatization, the internet of things, and rail transportation. Three fruitful research themes in BIM and BD research in China have been identified, including smart construction, smart operation, and bridge informatization.
Applying Software Effort Estimation Model Based on Work Breakdown Structure
Authors: Wen-Tin Lee; Kuo-Hsun Hsu; Jonathan Lee; J. Kuo
Year: 2012

Software effort estimation is an important activity for effective project management. To support the prediction of efforts in the early stage of a software project development, we propose an effort estimation model along with a software effort estimation process to estimate project efforts from high level WBS. The proposed estimation model is composed of four original task assignment factors - team size, concurrency, intensity, and fragmentation and one newly proposed factor, named WBS effort. To demonstrate the feasibility of proposed model, a case study is presented. The result of the case study shows that comparing the proposed model with those that using original task assignment effort estimation model, the accuracy of the prediction is improved by applying the five factors. For the data examined, the proposed model also shows to have better results in goodness of fit and quality of estimation than original one.
Measurement System Analysis and System Thinking in Six Sigma: How They Relate and How to Use Them
Authors: B. Galli
Year: 2020

This article investigated measurement system analysis and system thinking in Six Sigma, as well as the factors that influence these actions. If the measurement system being used to accumulate data from the process delivers dependable and accurate results, the measurement system analysis regulates it. Process improvement initiatives can be derailed by faulty measurement systems. Also, managers who have read faulty data can be misled into making wrong decisions. To collect trustworthy data, a reliable measurement system is established with this process. A method to assess an organization as a system and interpret its practices as a whole with Six Sigma is system thinking. Also, fixing a system as a whole helps to identify the real causes of issues and to know where to address them. This article addressed the contribution of these two methods to an overall success of an organization operating Six Sigma. The most current variables, concepts, and models were studied within operations and project management. By using a design-science-investigate strategy, this study approved of a valuable growth reveal for reasonable and hypothetical application. This study allowed us to generate a fitting assessment model that will fill the research void. Also, this study contributed to the engineering field with improved project success rates and team communication.
Investigation of the effectiveness of goal programming in Project Management Activities
Authors: Niroshi Pirhaveen; Vijayanathan Senthooran
Year: 2024

The regulation of objectives that are inconsistent with the use of all related resources through the organization is the principal project management (PM) work. In present situations, the Project Manager is responsible for managing multiple conflicting objectives, these objectives are normally fuzzy owing to information will be insufficient and unavailable. At the earliest stage, it was difficult for the decision maker to develop a plan to shorten the total completion time, minimize the project total cost and maximize the quality of the project. The aim of this study is to compare a combination of fuzzy goal programming and grey linear programming techniques and multi objective integer grey programming model of programming with multiple fuzzy objectives (programming with fuzzy objectives) which is applied to a project management problem. This study provides a systematic decision-making framework for resolving PM decision issues with multiple goals in uncertain environments. A real-world numerical example is used to compare the different techniques in this study. Finally, the results determine the best method that gives the best combination of the parameters used for project activities. Results demonstrate that this model can be implemented as an effective tool.
Applying Agile Business Solutions as a Graduate Capstone Project
Authors: David Greenburg; Dimitra Michalaka; Tyler Miner; Susan Huntington
Year: 2023

A graduate course was implemented to teach the fundamentals of Agile project management as part of the MS Technical Project Management curriculum. The course was designed to provide a solid foundation in Agile methodologies for project management practice to enable graduates to execute appropriate Agile techniques to plan, and deliver quality results that frequently deliver value to customers. During the course students are introduced to Agile processes which include developing user stories and story maps, estimate and plan for sprints, track project execution and releases using burn-down charts and conduct retrospective sessions. This paper discusses how a graduate student was able to successfully apply the Agile principles and processes learned in the graduate program to an Independent Study project designed to provide students with the opportunity to apply their knowledge and experience gained during the curriculum to addressing and solving a real business problem. The student chose to develop and implement an Agile framework solution to a software implementation and performance problem his business organization was facing.
APPLICATION DEVELOPMENT AS A MEANS OF AUTOMATING BUSINESS PROCESSES IN PROJECT SUPPORT AND TASK ASSESSMENT
Authors: Feruza F. Kayumova; E. A. Saltanaeva; Raila I. Eshelioglu
Year: 2024

The article discusses the issue of project support and task assessment. Particular attention is paid to the data collection process, the main purpose of which is to collect information-rich data. An important part of this process is understanding the type and sources of data required. The problems of fragmentation of data sources and their inconsistency have been identified. The need to conduct an assessment of the project and tasks is also described. Taken together, this will allow you to avoid risks in terms of budget, project timing and product quality. Project performance assessment is carried out at all stages of the project, from planning to completion. Its goal is to adjust the trajectory of the project. Based on the assessment results, amendments are made to the documentation, team composition, product characteristics, or a decision is made to close the project. Automation of business processes is proposed. Among the technical means and software systems that reduce routine operations and optimize the use of enterprise production resources, computer systems, sensors, actuators, controllers, software and other devices are usually used. They allow you to collect and process data, monitor and regulate the operation of various devices and processes, and also carry out management using special software. The authors offer one of the most common solutions, namely, application development. The project management application provides a systematic and automated approach to project evaluation, facilitating the accumulation of experience. It allows you to calculate the time and cost of creating software, and connect evaluation templates. Suitable for assessing different areas of development, users can customize assessments by feature or project phase and upload results for business proposals. An authorization code is provided for the proposed application in the Swift language, as a mandatory element of information security. An algorithm for user actions when implementing the most common function – creating an estimate – is also described. The application also provides export of files to Excel, as the most commonly used package.
Analysis of aspects of project management in modern conditions: risks and success criteria
Authors: Капустина Надежда Валерьевна
Year: 2024

Within the framework of the presented research, the author pays attention to the disclosure of the essence of projects, as well as the analysis of the reasons for their inefficiency. As part of the study, the author revealed that only a few professionals and specialists in this field are enough to manage any project and use a systematic approach that is present in project management, and it was also determined that the main criterion for project success is a set of indicators by which the effectiveness of project management and implementation is assessed. The study identified the factors and conditions on which the success of the project depends. The main reasons for the risks of the project have been identified.
A review of the current and future developments of artificial intelligence in the management and building sectors
Authors: Awakash Mishra; Ravi Kant Pareek; Sarika Kumar; S. Varalakshmi
Year: 2024

The integration of Artificial Intelligence (AI) into the management and building sector has witnessed significant advancements in recent years. Traditional methods can fall short in meeting these demands, prompting the exploration of AI solutions. This review aims to identify existing gaps, assess the efficacy of current AI applications and provide insights into potential areas for further development. A comprehensive literature review was conducted, encompassing peer-reviewed articles, industry reports and case studies. The analysis focused on AI applications such as machine learning, robotics and data analytics in the context of project management, resource optimization along with sustainable building practices. The review identifies key AI applications in project planning, risk management and construction processes, demonstrating their potential to streamline operations and improve decision-making. The analysis reveals successful implementations of AI-driven technologies, highlighting their impact on cost reduction, time efficiency and sustainability practices. Additionally, emerging trends such as generative design and smart buildings indicate promising directions for future development. The integration of Artificial Intelligence in the management and building sector demonstrates substantial benefits in efficiency, cost reduction and sustainability, while ongoing research as well as adaptation to emerging technologies is crucial for sustained progress.
Use cases modeling and software estimation: applying use case points
Authors: S. Diev
Year: 2006

This article discusses software size/effort estimation by the Use Case Points method (UCP). It is based on the experience accumulated during deployment of the UCP in a software development department of a major financial institution. Typical for such an environment is that software is developed on top of existing applications, and that there are significant differences between projects in business domains, scope, size, complexity, project management details, etc. In a previous article [3] an extension of the Use Case Points method, called UCPm, was described that addresses these issues.Due to their level, use cases make high-level estimation easier. However, this article, presenting a number of real world situations, demonstrates that to obtain reasonably accurate estimates we need to reflect in use case models some aspects of the existing application and of the current project. It also suggests some clarifications of the concept of use case transaction and outlines some ways to support use case models consistency within and across projects.
Use of Effective Project Communication Principles in an Overseas IT Project: A Case of Wipro Technologies
Authors: Kirti Rajhans; Mona N. Shah
Year: 2012

This case deals with the specialties involved in project management (PM) communication. It purports that project communication has some nuances of emphasis that differentiate it from general business communication. PM has emerged from the discipline of Operations Management (OM), a branch of management science dealing with the hardcore scientific practices in executing work. Thus, like OM, PM quantifies, systematizes and documents almost all actions. Therefore Project Communication (PC) too follows standardized procedures and manuals, as PM operates within constraints of budgets and deliveries, like in Operations Management. There is little scope for rework. It is even more acute in cases of overseas projects, where challenges like differences in organization and project culture, time zones, language, technology and distance, etc. add to the enormous complexity. Thus, PC entails accuracy and systematic handling of communication networks. Constituent members in the network must follow strict documentation procedures. The project manager should display sophistication in handling interpersonal communication problems. In fact, he must even anticipate probable pitfalls and take proactive efforts to avoid them later in the process. The present case depicts the efficient communication practices which Nitish followed for Wipro’s overseas project. His success is an outcome of following good interpersonal communication while adhering to the communication plan and the project framework.
Examining Cost Measurements in Production and Delivery of Three Case Studies Using E-Learning for Applied Health Sciences: Cross-Case Synthesis
Authors: E. Meinert; A. Alturkistani; K. Foley; D. Brindley; J. Car
Year: 2019

Background The World Health Report (2006) by the World Health Organization conveys that a significant increase is needed in global health care resourcing to meet the current and future demand for health professionals. Electronic learning (e-Learning) presents a possible opportunity to change and optimize training by providing a scalable means for instruction, thus reducing the costs for training health professionals and providing patient education. Research literature often suggests that a benefit of e-Learning is its cost-effectiveness compared with face-to-face instruction, yet there is limited evidence with respect to the comparison of design and production costs with other forms of instruction or the establishment of standards pertaining to budgeting for these costs. Objective To determine the potential cost favorability of e-Learning in contrast to other forms of learning, there must first be an understanding of the components and elements for building an e-Learning course. Without first taking this step, studies lack the essential financial accounting rigor for course planning and have an inconsistent basis for comparison. This study aimed to (1) establish standard ingredients for the cost of e-Learning course production and (2) determine the variance instructional design has on the production costs of e-Learning courses. Methods This study made use of a cross-case method among 3 case studies using mixed methods, including horizontal budget variance calculation and qualitative interpretation of responses from course designers for budget variance using total quality management themes. The different implementation-specific aspects of these cases were used to establish common principles in the composition of budgets in the production and delivery of an applied health professional e-Learning course. Results A total of 2 case studies reported significant negative budget variances caused by issues surrounding underreporting of personnel costs, inaccurate resource task estimation, lack of contingency planning, challenges in third-party resource management, and the need to update health-related materials that became outdated during course production. The third study reported a positive budget variance because of the cost efficiency derived from previous implementation, the strong working relationship of the course project team, and the use of iterative project management methods. Conclusions This research suggests that the delivery costs of an e-Learning course could be underestimated or underreported and identifies factors that could be used to better control budgets. Through consistent management of factors affecting the cost of course production, further research could be undertaken using standard economic evaluation methods to evaluate the advantages of using e-Learning.
A Resource-Oriented Services Platform for Managing Software Supply Chains and Its Experience
Authors: M. Aoyama; Kazuo Yabuta; T. Kamimura; Souichi Inomata; Toshiya Chiba; Takashi Niwa; Koji Sakata
Year: 2014

PROMCODE (PROject Management for COntracted DElivery) is an innovative research consortium to change the way of project management on the resource-oriented services platform. It was launched by Nanzan University and six major Japanese IT companies including Fujitsu, Hitachi, IBM, NEC, Nomura Research Institute, and NTT DATA in May, 2012. Since then, we have developed a common data model to exchange project management data across organizational boundaries along with software supply chains, and supporting service platform to facilitate the data exchange. This article reports on the resource-oriented service model based on a common data model. We also developed a resource-oriented platform for exchanging data based on the OSLC (Open Services for Lifecycle Collaboration), an open standard for tool chain compliant to Web standards, namely RDF/Linked Data and RESTful Web services. To study the feasibility of the developed technologies, we, six companies, conducted intensive experience with real project management data. We discuss the effectiveness of the developed technologies and lessons learned from the experiences.
Peculiarities of setting up a project management office in different industries
Authors: Taras Petrenko
Year: 2024

Introduction. In the context of growing volatility in the economy and increasing resource constraints at the organizational level, the project management office as a solution for the effective implementation of the organization’s strategy and operational tasks is gaining more and more importance. In the task of building a project management office, in addition to general organizational best practices, it is important to take into account industry specifics.
The purpose of the paper is to analyze the specifics of setting up a project management office in various sectors of the economy and to identify the main factors influencing the specifics of setting up a project management office in such industries as information technology, construction, healthcare, finance and public administration.
Results. The paper examines the main approaches to the organization and functioning of project management offices, taking into account the specifics of various sectors of the economy. It is emphasized that the importance of a project management office is due to its key role in coordinating and managing project activities, which allows optimizing processes, improving resource utilization and minimizing risks. The author emphasizes that the project management office ensures standardization of project management processes, implementation of international methodologies, in particular, PMBOK, Agile, PRINCE2, and adaptation to the requirements of a particular industry. The main stages of establishing a project management office are considered, including analysis of the organization’s needs, development of the structure, implementation of standards, team training, and monitoring of the project management office. The key functions of the project management office are identified, including risk management, resource coordination, project control and analytics. It is emphasized that industry specifics have a significant impact on the functioning of the project management office. For example, in the IT sector, the emphasis is on the rapid implementation of innovations through flexible methodologies (Agile, Scrum), while in construction, cost control and meeting deadlines are important. In the financial sector, PMO focuses on process automation, while in healthcare it is about compliance with ethical standards. In the public sector, the PMO plays a critical role in the transparency of the use of public funds.
Conclusion. Thus, the effectiveness of PMO creation depends on adaptation to sectoral challenges and requirements, which allows to increase the competitiveness and efficiency of projects. Further research will focus on setting up a KPI system for establishing a project management office.
A Multidimensional Approach of Evaluating Developers
Authors: Changqiang Zhang; Ming Chen
Year: 2020

In this paper, we propose an approach to assess the ability of developers based on their behavior data from OSS. Specifically, we classify developers' ability into code ability, project management ability, and social ability. Code efficiency is related to the developer's commit record and the pull-request record. The developer's project management ability is achieved by tracking the developer's commit record. We use regular matching to map the commit behavior to the project management behavior and calculate the developer's project management ability according to the proportion of different behaviors. The social ability of developers is related to the data that developers interact with in the open-source community. We dug for developer reviews on commit, issue, and gist fragments. By calculating the proportion of positive emotions in developer reviews and the proportion of developers interacting with others in the reviews, the social ability of developers is obtained. We get behavioral data from 50 random developers. Twitter's data is used to test the effect of different machine learning algorithms on the accuracy of developer comment polarity judgments. It is found that the combination of SVM, xgboost and random forest have the highest prediction accuracy. Finally, we select 5 students to use Likert scale to score the results. Our score shows that the results are basically in line with expectations.