derhan/semantic-scholar-manajemen-proyek huggingface dataset:
A method of indefinite resource factors and systemic correction of time conflicts in construction schedules
Authors: S. Bolotin; Khaytam Abdulrazzak Bokhan; Aldyn-kys Dadar; K. Biche-оol
Year: 2021

When construction work schedules are developed, numerous time parameters are taken into account. Even full account of these parameters cannot guarantee a feasible work schedule. The identification of time conflicts, arising in this case, and their solutions, is a rather labour­intensive process even in the context of computer­aided work scheduling performed using project management software. The analysis and elimination of time conflicts, presented in the article, are based on the improvement of the method of uncertain resource factors. The proposed methodology is focused on feasible construction work scheduling in the case when restrictions, associated with time characteristics, do not allow to set up a construction work timeline. The main feature of the improved method of indefinite resource factors is the simplex algorithm used to find a basic solution in the case of a negative slack, represented in the form of equations, which in the aggregate represent an invalid basic solution. Negative values of base variables, obtained in this case, allow to design integrated regulatory impacts, that allow for the systemic generation of feasible construction schedules that take account of time constraints having an adverse effect.
Analysing Hybrid Cooperative Coevolution Algorithm Framework For Large Scale Construction Project Schedule
Authors: Thejas H; Prabakaran PA
Year: 2023

A construction project which involves multiple contractors will always slip away and delay from the project master schedule because of lack of communication and mismanagement of schedule to avoid this problem various studies have been followed but the results are not positive so in this a new method of framework is going to implement. The framework is based on a method of Hybrid cooperation coevolution algorithm based on the algorithm. In this we rank the constrains that affect the project schedule by analysing the survey results and then the framework will be formed according to the constrains to improve the schedule process. we can subdivide the schedule and daily task allotment so that the planned schedule will not slip away Construction projects involve complex processes and multiple stakeholders, which makes it challenging to manage project schedules effectively. To address this issue, a Hybrid Cooperative Framework for Large Scale Construction Project Schedule Analysis (HCF) has been proposed. This framework combines traditional project management techniques with advanced machine learning algorithms to enhance the accuracy of project schedules and improve project performance. In this study, we aim to analyze the effectiveness of the HCF in managing large-scale construction projects. We will evaluate the framework's ability to improve project scheduling accuracy, reduce project delays, and enhance stakeholder collaboration. The study's findings will provide valuable insights into the application of advanced technologies in construction project management and contribute to the development of more efficient project scheduling approaches
Strategies to Improve Employee Engagement and HR Quality at M Educational Institution Jakarta
Authors: Hecan Xi; Hariyadi B. Sukamdani; Maya Dewi Diyah Maharani
Year: 2024

The development of education is no less important than the economic and social world. However, in recent years the workforce in the world of education has experienced significant turnover which has hampered the development of teaching. Therefore, it is necessary to analyze and discuss the level of employee engagement and the quality of human resource management using the example of the educational institution M Educational Institution Jakarta. This research was conducted by conducting interviews and distributing questionnaires to educational personnel as subjects. In this study, we identified the core concepts of employee engagement in educational institutions, designed an engagement questionnaire and a satisfaction questionnaire, and conducted a survey. Getting the results from this research, there are problems such as incomplete human resource development mechanism, high human resource mobility, serious exit of high-quality human resources, unbalanced faculty staffing structure, and incomplete performance evaluation and incentive mechanism. Analyzing the problems and their causes, it is necessary to propose constructive solutions and countermeasures, identify common problems in employee participation and human resource management in educational institutions, and improve strategy development and policy adjustment depending on the problems. The result of this research is that increasing employee engagement and the quality of human resources is very important. In the development of the M Educational Jakarta institution, it requires the implementation of a scientific and rational human resource management mechanism, with the concept of project management as a systematic implementation framework, which can also be a guide in managing HR in educational institutions, and ensuring the effectiveness of HR operations.
Construction Project Management and Construction Quality Control Strategy
Authors: Qinrong Zhang
Year: 2024

With the gradual acceleration of the urbanization process, the construction industry has been developing rapidly. As the key link to ensure the quality and safety of the project, construction management and construction quality control are of great significance to enhance the competitiveness of construction enterprises and realize sustainable development. In this paper, the effective strategy of construction management and the effective strategy of construction quality control will be discussed in depth, aiming at providing useful management and quality control strategies for construction enterprises.
Active BIM system for optimized multi-project ready-mix-concrete delivery
Authors: H. Begić; M. Galić; U. Klanšek
Year: 2023

PurposeReady-mix concrete delivery problem (RMCDP), a specific version of the vehicle routing problem (VRP), is a relevant supply-chain engineering task for construction management with various formulations and solving methods. This problem can range from a simple scenario involving one source, one material and one destination to a more challenging and complex case involving multiple sources, multiple materials and multiple destinations. This paper presents an Internet of Things (IoT)-supported active building information modeling (BIM) system for optimized multi-project ready-mix concrete (RMC) delivery.Design/methodology/approachThe presented system is BIM-based, IoT supported, dynamic and automatic input/output exchange to provide an optimal delivery program for multi-project ready-mix-concrete problem. The input parameters are extracted as real-time map-supported IoT data and transferred to the system via an application programming interface (API) into a mixed-integer linear programming (MILP) optimization model developed to perform the optimization. The obtained optimization results are further integrated into BIM by conventional project management tools. To demonstrate the features of the suggested system, an RMCDP example was applied to solve that included four building sites, seven eligible concrete plants and three necessary RMC mixtures.FindingsThe system provides the optimum delivery schedule for multiple RMCs to multiple construction sites, as well as the optimum RMC quantities to be delivered, the quantities from each concrete plant that must be supplied, the best delivery routes, the optimum execution times for each construction site, and the total minimal costs, while also assuring the dynamic transfer of the optimized results back into the portfolio of multiple BIM projects. The system can generate as many solutions as needed by updating the real-time input parameters in terms of change of the routes, unit prices and availability of concrete plants.Originality/valueThe suggested system allows dynamic adjustments during the optimization process, andis adaptable to changes in input data also considering the real-time input data. The system is based on spreadsheets, which are widely used and common tool that most stakeholders already utilize daily, while also providing the possibility to apply a more specialized tool. Based on this, the RMCDP can be solved using both conventional and advanced optimization software, enabling the system to handle even large-scale tasks as necessary.
Mitigating construction delays in Indian real estate projects through effective organizational and project management
Authors: Dillip Kumar Das
Year: 2024

PurposeThe delay in real estate projects in India is pervasive. Organization and management (O&M) and project management (PM)-related challenges are argued to contribute to project delays. This study examined the O&M and PM factors that cause delays, the level of implementation of various O&M and PM aspects in real estate projects and how the challenges can be alleviated.Design/methodology/approachPerception surveys among the consumers and relevant stakeholders engaged in real estate projects in the Bhubaneswar and Cuttack regions of India were conducted to collect data on the factors of delay and implementation of the O&M and PM aspects. Relevant statistical methods and structural equation modeling (SEM) were used for data analysis.FindingsFindings suggest that from the O&M point of view, poor decision-making, mishandling of finance, concurrent execution of many projects, diversion and misuse of finance for unrelated activities, lack of PM personnel and poor management contribute to the delay. Further, although the project initiation is satisfactorily done, most of the PM principles are not largely used, thus leading to delay.Research limitations/implicationsThe study does have limitations, including its reliance on a perception survey of consumers and stakeholders, a limited sample size and a restricted number of projects. Nevertheless, the study highlights the need to address poor O&M and the insufficient application of PM principles to combat project delays in the Indian real estate sector.Practical implicationsProper O&M and adequate application of PM will enable professional management of the projects and avoid delay.Social implicationsProper O&M and the application of adequate PM would reduce delays in real estate projects. Consequently, conflicts between the companies and consumers might be reduced and housing and infrastructure demands might be met.Originality/valueThe study manifested that the lack of adequate implementation of O&M and PM aspects leads to delays. So, it is theorized that O&M and PM play critical roles in the success of real estate projects. Appropriate implementation of the principles and best practices linked to these aspects might alleviate the challenges of delay in real estate projects in India.
Establishing a Project Management Framework for Internet Architecture
Authors: Aliyu AM*; Abdulaziz Mi
Year: 2024

This article utilizes the Critical Path Method (CPM) and the Program Evaluation Review Technique (PERT) to plan, schedule, and oversee the building of an online project. PERT and CPM are project management tools that work well. Project managers can anticipate potential issues and delays in project completion by using PERT and CPM to plan ahead of time. To ensure that the project is finished as soon as is practically possible, schedule the jobs to follow the correct work sequence at the appropriate periods. To ensure that the project is finished on schedule, supervise and manage its activities. The methodology can address questions such as how long a project will take to finish. It appears that the project will be finished in fifty-nine days based on the results. Sensitivity analysis shows that if the project is delayed three days earlier than expected, there is an 83.15% chance that it will be completed, and there is a large possibility (66.3%) that it will be completed between 53 and 59 days. The completion time of 53 to 59 days is confirmed with 99% confidence in this outcome. Only buildings with a medium size are appropriate for the task. Additional activities with longer durations might be possible with additional structures incorporated. This is the first time the research has been conducted; it has never been done before.
The Influence of the Application of Agile Practices in Software Quality Based on ISO/IEC 25010 Standard
Authors: Gloria Arcos-Medina; D. Mauricio
Year: 2020

Agile practices are activities or procedures that are applied during the software development process in order to improve its quality and productivity. The objective of this study is to determine the influence of agile practices on software quality. For this purpose, a model composed of 4 groups of agile practices and 8 quality characteristics according to the ISO/IEC 25010 standard has here been proposed. The results of 146 questionnaires addressed to people involved in the software development process show that the application of agile engineering and project management practices have a significant positive influence on the quality attribute functionality. On the other hand, project management practices have a low impact on the quality characteristics of compatibility, portability, security, and usability.
Schedule Optimization in Construction Projects using Building Information Modeling (BIM)
Authors: Neha Dhurwe; Mrs. Ragini Mishra
Year: 2024

The construction industry has witnessed significant advancements with the integration of Building Information Modeling (BIM) into project management practices. This paper explores the application of BIM in the context of schedule optimization for construction projects. BIM, as a comprehensive digital representation of a project's physical and functional characteristics, offers a paradigm shift in how construction schedules are developed, managed, and executed.
Through a thorough review of literature and case studies, this paper highlights the key benefits of employing BIM in schedule optimization. These benefits include enhanced communication and collaboration among project stakeholders, improved visualization of construction processes, early clash detection, and real-time schedule updates. The integration of BIM also aids in risk mitigation by identifying potential issues before they impact project timelines and budgets.
However, successful implementation of BIM for schedule optimization necessitates a commitment to training and education, as well as the investment in the necessary technological infrastructure. This paper emphasizes the importance of effective collaboration and information sharing among all project participants as crucial factors in harnessing the full potential of BIM for schedule optimization
Project performance and the effects of human activity: a case study of the University of Salford
Authors: David Oyekunle; David Preston; Florence Ibeh
Year: 2023

Conflict is common in the project management industry. Project performance may be impacted negatively or favourably by human activities such as competing interests among stakeholders, project team members, and project managers, as well as by the intimidating methodology and structure of the project management process. This case study at the University of Salford looked into how human activity affects project management and performance.
The mixed methodology used in this study allowed for a deeper understanding of the real-world experiences of the subjects and project teams. Project management students and professionals from the University of Salford provided the data, which was collected. The survey generated a sample size of 40 responses, of which 37 were reliable enough for analysis.
At the University of Salford, it was discovered that relationships among team members were a crucial human activity that promoted cooperation, trust, and the extension of trust to others, thereby reducing conflict and ties of trust between stakeholders and project managers. However, positive team dynamics and strong group cohesion are required to actively and purposefully encourage conflict in order to achieve the project's aim, goals, and deliverables. Conflict in project performance and project management productivity, for example, may be reversed.
Therefore, to achieve high performance and productivity, the project management process needs strong communication, positive team dynamics, and an understanding of scope. Conflict can have a negative effect on the process, lowering productivity and performance. Project managers should develop their communication skills to avoid this because it is a soft skill that can be learned and enhanced. This guarantees proper coordination, awareness of all stakeholders, and a decrease in conflict.
Enhancing LLM-Based Automated Program Repair with Design Rationales
Authors: Jiuang Zhao; Donghao Yang; Li Zhang; Xiaoli Lian; Zitian Yang
Year: 2024

Automatic Program Repair (APR) endeavors to autonomously rectify issues within specific projects, which generally encompasses three categories of tasks: bug resolution, new feature development, and feature enhancement. Despite extensive research proposing various methodologies, their efficacy in addressing real issues remains unsatisfactory. It’s worth noting that, typically, engineers have design rationales (DR) on solution— planed solutions and a set of underlying reasons— before they start patching code. In open-source projects, these DRs are frequently captured in issue logs through project management tools like Jira. This raises a compelling question: How can we leverage DR scattered across the issue logs to efficiently enhance APR? To investigate this premise, we introduce DRCodePilot , an approach designed to augment GPT-4-Turbo’s APR capabilities by incorporating DR into the prompt instruction. Furthermore, given GPT-4’s constraints in fully grasping the broader project context and occasional shortcomings in generating precise identifiers, we have devised a feedback-based self-reflective framework, in which we prompt GPT-4 to reconsider and refine its outputs by referencing a provided patch and suggested identifiers. We have established a benchmark comprising 938 issue-patch pairs sourced from two open-source repositories hosted on GitHub and Jira. Our experimental results are impressive: DRCodePilot achieves a full-match ratio that is a remarkable 4.7x higher than when GPT-4 is utilized directly. Additionally, the CodeBLEU scores also exhibit promising enhancements. Moreover, our findings reveal that the standalone application of DR can yield promising increase in the full-match ratio across CodeLlama, GPT-3.5, and GPT-4 within our benchmark suite. We believe that our DRCodePilot initiative heralds a novel human-in-the-loop avenue for advancing the field of APR.
DETERMINANTS OF PRUDENT FINANCIAL MANAGEMENT OF NATIONAL GOVERNMENT CONSTITUENCY DEVELOPMENT FUND IN TURBO CONSTITUENCY, KENYA
Authors: Kennedy Kipkemei; J. Miroga
Year: 2019

Lack of adequate empirical data on what actually should be done to effect prudent financial management of CDF prompted this study to investigate the determinants of prudent financial management of Turbo National Government Constituency Development Fund, Uasin Gishu County, Kenya. The study used descriptive research design and targeted 219 respondents comprising of project management committee, CDF committee members and technical officers of the Turbo CDF; from where a sample size of 142 respondents was drawn using Taro Yamane’s proportional sampling technique formula. Structured questionnaires were used to collect primary data. SPSS version 24 data analysis computer software was used to compute statistical data; whereby collected data was cleaned, coded and transformed to allow regression analysis. Descriptive analysis such as frequencies, means, standard deviation were used to summarize data into meaningful form; whereas inferential statistics assessed the nature and strength of the correlations, direct and multiple relationships. Analyzed data was presented in tables. From 142 questionnaires that were dispatched for data collection, 107 were returned when dully filled showing a response rate of 75.35% which was good for generalizability of research findings to a wider population. Both descriptive and inferential statistics showed that all the conceptualized independent variables; financial literacy, procurement process, fund disbursement and financial audit process significantly influenced prudent financial management of Turbo National Government Constituency Development Fund, Uasin Gishu County, Kenya. The study concluded that financial literacy is a significant predictor of prudent financial management since it helps CDF fund managers understand basic accounting and auditing standards as key aspects of prudent financial management of public funds; two, timely fund disbursement depict prudent financial management of CDF funds so as to fast track fund utilization in CDF projects. The study recommends that one, all CDF managers, committee members and technical officers should undergo regular financial training so as understand prudent financial management of CDF and two, there should be independent and transparent financial audit process to ensure accountability and efficient utilization of National Government Constituency Development Funds. Key Words: Financial Literacy, Procurement Process, Fund Disbursement, Financial Audit Process CITATION: Kipkemei, K., & Miroga, J. (2019). Determinants of prudent financial management of national government Constituency Development Fund in Turbo Constituency, Kenya. The Strategic Journal of Business & Change Management, 6 (4), 161 – 177.
A Value Creation Planning Method to Complex Engineering Products Development
Authors: M. S. P. Pessôa; G. Loureiro; Joao Murta Alves
Year: 2006

Innovative firms have product development as one of their core processes; optimizing this process, regardless the product will be mass-produced or custom made, must be a firm's priority. A common approach is to treat the product development as a project, where Project Management is essential to organize and lead the efforts. The Toyota development system is a benchmark in the automotive industry and has been widely accepted in other sectors with dramatic benefits. This work presents an approach to derive a project activity network pulled by the stakeholders' requested value. The first part of the paper introduces the value creation in product development. In sequence the issues to planning to lean development are discussed. Finally the four-step approach is presented and the first three steps are explained through the analysis of real project data.
Agents assisted software project management
Authors: A. Sethuraman; K. Yalla; A. Sarin; R. Gorthi
Year: 2008

The market opportunities for the field of software engineering have been on the rise for the last three decades. This field of engineering is relatively new and the management of projects in this field, though experiencing greater degrees of assistance from tools, still requires improvements. We present here details of our experiments on how the multi-agent technology can be used to improve the productivity and quality of software project management (SPM) process. We have picked up the quality review management sub-process of SPM and described its modeling using GAIA and its implementation using the JADE framework. We also present a case study and the productivity and quality improvements observed.