Optimal Projection Research Articles (Page 1)

A Hybrid Model for Selecting the Optimal Project Delivery System for Outsourcing Design–Build and Operation–Maintenance Together in Water and Wastewater Projects

Construction projects always have uncertainties even in small projects, especially in terms of time and cost. This study aims to identify and analyze the dominant risks in home renovation projects in Vimala Hills Bogor and design mitigation strategies. Data collection was carried out by distributing questionnaires to all project implementers. Data analysis used the severity index method to measure frequency and severity combined with biserial point tests and KR-20 to measure the validity and reliability of 15 risk variables with 30 respondents directly involved in the project. The results showed that there were two dominant risks in the high category, namely bad weather conditions (frequency of 80,00%, impact of 77,50%, and risk value of 16) and change of work (frequency of 56,67%, impact of 64,17%, and risk value of 12). Other risks are in the medium to low category. The mitigation strategies implemented include adjusting work schedules based on weather forecasts, protecting work areas, finalizing the design before construction begins, and implementing formal procedures for work changes. After mitigation, the risk value of the two dominant variables dropped to the low category. These findings confirm the importance of implementing risk management even on small scale projects to prevent delays and cost overruns and increase efficiency so that contractors can achieve optimal project goals in the future.

Project management is the process of managing limited resources in an efficient, effective, and timely way to complete a project according to a predetermined plan. The three main functions in project management include the planning, execution, and control processes. This control includes the management of various project resources such as manpower, equipment, materials, and methods used. In order to achieve optimal project performance results in the construction work of the Cilutung Bridge, various analyses were carried out aimed at supporting the smooth implementation of the project in accordance with the plan. In this study, the analysis applied is to calculate the volume of work, implementation planning, and estimate the needs of labor, materials, and equipment, accompanied by the preparation of an s-curve and the analysis of the critical path CPM (Critical Path Method) as an analysis step to assess the performance of the project to ensure its implementation is on schedule and achieve optimal conditions. The results of the study show that from the results of the calculation of the volume of work in the Cilutung Sumedang – Majalengka Bridge Construction Project is 12257.813 m3. Then using CPM (Critical Path Method) analysis takes 72 days or equal to 18 weeks.

ABSTRACTA highly relevant policy debate in developing countries concerns whether limited public funds should be allocated to productive infrastructure or social transfers. Following recent developments in mathematical economics (e.g., Brandl 2022), we contribute to this debate by presenting a mechanism for selecting optimal public development projects. The incentive path compatibility axiom allows identifying an acceptable project (the one that increases the agent's utility for each money spent) using the notion of dominant strategies in game theory. Funding an infrastructure investment project is preferable to directly transferring resources to households. We construct a top‐down dynamic computable general equilibrium (CGE) model and apply it to the Guinea‐Bissau economy from 2014 to 2031. Evidence suggests that optimal public projects spur growth and social welfare. These results have significant policy implications for developing countries.

Numerical implementation results and features of optimal size-weight project for composite stringer aircraft panels with restrictions according to refined buckling theory

Purpose: There is extensive evidence linking Potentially Inappropriate Medication (PIM) use and adverse health outcomes. The VIONE core team and VA multidisciplinary partners created, implemented and disseminated the VIONE methodology across VA sites nationwide to facilitate and track deprescribing, through coaching, medical informatics and integration with the electronic health record. The purpose of this article is to report 3 sites in the federal health system (2 VA and 1 Indian Health Services) unique experiences of implementing and adapting VIONE locally while maintaining fidelity to fundamental VIONE intervention strategies. Methods: Three VA sites reported experiences of implementing VIONE, including an overview of the clinical workflow, clinicians involved, facilitators and barriers of implementation, and results. Results: The VIONE intervention was adapted for site-specific implementation. Personnel included trainees, clinical pharmacists, and home based primary care programs. Local and national dashboards were used to identify Veterans at high risk for polypharmacy and to track deprescribing. Implementation remained consistent with the VIONE core characteristics and facilitated education and conversations about medications with patients and caregivers. Adaptations were made at each site to meet that site's needs. Implementation resulted in safe deprescribing practices and staff empowerment with significant cost savings. Conclusion: The VIONE methodology and tools are adaptable across clinical settings with inherent flexibility to local workflows and practice preferences by end users. VIONE presents a standardized, easy-to-use method for promoting medication review for older adults. Further evaluation may help identify best practices to promote positive outcomes related to deprescribing and reducing polypharmacy in older adults.

The Popular and Solidarity Economy (PSE) represents a key sector for productive inclusion and local development in Ecuador, particularly in provinces with strong commercial dynamism such as Guayas. This article presents a scholarly review on the optimization of financial control and the impact of the Simplified Regime for Entrepreneurs and Popular Businesses (RIMPE) on microenterprises within this sector. The methodology was based on a documentary review of academic literature, current tax regulations, and technical studies published between 2012 and 2025, aimed at identifying the main advances and limitations in the financial management of microenterprises. The results of the review show that the implementation of adequate financial control systems contributes to improving business sustainability, facilitates compliance with tax obligations, and strengthens the competitiveness of productive units. Likewise, challenges were identified related to administrative training, the digitalization of accounting processes, and the normative simplification of RIMPE. It is concluded that the optimization of financial control, in coordination with an inclusive and flexible tax regime, constitutes a strategic axis to enhance the development of microenterprises in the Popular and Solidarity Economy in the province of Guayas.

This article explores innovative approaches to project team management within a dynamic economy. It begins by analyzing scientific perspectives on the “project team” concept to formulate a generalized definition. The research substantiates the need to transition from traditional management models toward innovative, flexible methodologies like Agile, Scrum, and Kanban, which enhance team adaptability and productivity. Modern approaches to team formation are also considered, emphasizing team self-organization, with the project manager acting as a coordinator rather than a traditional controller. Particular attention is given to the role of self-management as a key factor in effective team interaction, encompassing skills such as time management, goal setting, self-organization, and accountability. The article proposes parameters for assessing the levels of innovation and self-management among team members. These metrics can be used by project managers during team selection, performance monitoring, and the development of the team’s motivational profile. Accordingly, project managers should prioritize team members who demonstrate creativity, cognitive flexibility, initiative, openness to innovation, determination, and a capacity for self-learning. Furthermore, a comparative analysis of innovative and traditional approaches is conducted across several criteria: team organization, management style, leadership role, communication, flexibility, motivation, performance assessment, and responsiveness to change. This comparison leads to conclusions about the optimal contexts and project types for each approach. Finally, the article proposes a comprehensive algorithm for effective project team management. This framework involves several stages: strategic planning; team formation based on member potential; selection of an adaptive management model that integrates innovative and traditional elements; cultivation of self-management skills; digitalization of work processes with modern digital tools; and regular evaluation of results to develop future action plans.

In order to scientifically and reasonably evaluate the digital transformation and upgrading level of “emerging industry” innovation ecosystems, this paper firstly uses the grounded theory to extract the factors influencing the digital transformation and upgrading of the emerging industry innovation ecosystems. Secondly, a cloud model is introduced to evaluate the importance of the influencing factors, select the important factors, and construct an evaluation index system. Thirdly, the projection pursuit model based on the quantum genetic algorithm is used to search for the optimal projection direction and determine the weight and comprehensive evaluation value of each index. Finally, the digital transformation and upgrading levels of 506 innovation subjects are divided into a budding level (I), growth level (II), and mature level (III) based on K-means and the SVM—most of which are at a medium–low level. Therefore, countermeasures and suggestions for promoting the digital transformation and upgrading of the emerging industry innovation ecosystems are put forward. This paper provides a systematic and complete method for the evaluation of digital transformation and upgrading of the emerging industry innovation ecosystems. Further, this paper promotes the combination of qualitative and quantitative analysis and realizes the effective integration of the overall logic chain of theoretical demonstrations, method design, and data analysis.

Unsupervised feature selection with evolutionary sparsity.

Road infrastructure development is an important pillar for economic growth in Buleleng Regency, but there are often significant risks due to improper selection of service providers, such as project delays and cost overruns. Although the use of e-catalogs has been mandatory for procurement transparency, the Buleleng Public Works and Spatial Planning Office still often uses the Price Negotiation method due to supply limitations. This creates an urgent need for an objective system for assessing and selecting service providers. This study aims to analyze the criteria and formulate an optimal strategy in the selection of service providers through an e-catalog of price negotiation methods in road preservation work in Buleleng Regency. To achieve this goal, this study applied the Analytic Hierarchy Process (AHP) method. The research process involves Focus Group Discussions (FGD) Phase I and Phase II with experts to identify relevant criteria and subcriteria. The collected data is then processed using the ahp weighting principle, thus resulting in priority criteria and evaluation of alternative service providers based on the criteria that have been set. The results of the study identified 25 subcriteria in 7 main categories, including Administration, Organization/Managerial Personnel, Technical, Equipment, Material, Financial, and Safety. The AHP analysis shows that the Technical criterion (C) is the dominant priority with the highest weight (0.2562), followed by Finance (F) and Organization/Managerial Personnel (B). The evaluation of the service provider places the CV. Pelita Utama and CV. Finished Source in the Eligible category. In addition, the study successfully formulated nine key strategies for the selection of competent service providers, including performance evaluation, risk management, and qualification validation. Thus, it can be concluded that technical criteria play a vital role in the process of selecting a road preservation project service provider. The implementation of the strategy found is expected to increase the efficiency and effectiveness of the procurement process, reduce risks, and ensure the achievement of optimal road preservation projects for the community. This research makes an important contribution to the development of more structured and objective decision-making guidelines in the field of government procurement of goods/services.

The USUST of the ESI PSACEA is actively implementing innovative 3D scanning technologies into the educational pro-cess and practical activities, thereby expanding the scope of their application. Following successful implementation of the pilot project with Lyceum No. 54, the University initiated a new phase of collaboration with the same institution in Dnipro, demon-strating the growing interest in digital technologies within secondary education.The aim of the article is to conduct 3D laser scanning of the Lyceum No. 54 building (Dnipro City Council) using the advanced Leica BLK360 scanner and to create the first detailed digital 3D model of an educational institution in the region. The acquired data will not only help determine optimal project timelines but also provide insights into the effectiveness of the technology's application in educational settings. A significant aspect of the project is familiarizing students and educators with modern 3D scanning methods, which contributes to their professional development. Moreover, the resulting model will serve as a practical tool for the lyceum’s administration, enabling better planning of maintenance work, assessment of the building's condition, and simulation of potential reconstruction scenarios.The study involved comprehensive scanning of the lyceum's facades and interior spaces, resulting in the creation of a detailed 3D model suitable for use in educational processes, infrastructure management, and design. Students were given a unique opportunity to engage with cutting-edge technologies, enhancing their career orientation and increasing interest in STEM fields. The successful implementation of the project confirmed the effectiveness of 3D scanning in education and opened up new prospects for further research.

In the implementation of the Revitalization Development Project of SMP Negeri 2 Cikatomas, the purpose of this study is to determine the optimal duration and determine the difference between the existing project scheduling and the reschedule with the Program Evaluation and Review Technique (PERT).Method the selection of the Program Evaluation and Review Technique (PERT) method to reschedule, and time control by analyzing which project activities include critical trajectories to obtain the optimal project duration. The research method uses quantitative with descriptive analysis techniques,This analysis also uses network diagrams to generate project progress and relationships between activities.This research shows that project performance is not affected by the number of working days but rather the weight load carried out. The project duration in this study was 150 days, after rescheduling using the Program Evaluation and Review Technique (PERT) method the project was accelerated by 21 days to 129 working days

With the continuous increase in urban population, the subway is the main way to alleviate traffic congestion. However, the construction environment of subway stations is complex, and the safety risks are extremely high. Therefore, it is of great practical significance to scientifically and systematically evaluate the safety vulnerability of subway station construction. This paper takes the Chengdu subway project as an example, and establishes a metro station construction safety vulnerability evaluation index system based on the driving forces–pressures–state–impacts–responses (DPSIR) theory with 5 first-level indexes and 23 second-level indexes, and adopts the fuzzy hierarchical analysis method (FAHP) to calculate the subjective weights, and the improved Harris Hawks optimization–projection pursuit method (HHO-PPM) to determine the objective weights, combined with game theory to calculate the comprehensive weights of the indicators, and finally uses the improved cloud model of Bayesian feedback to determine the vulnerability level of subway station construction safety. The study found that the combined empowerment–improvement cloud model assessment method is reliable, and the case study verifies that the vulnerability level of the project is “very low risk”, and the investigations of safety hazards and the pressure of surrounding traffic are the key influencing factors, allowing for the proposal of more scientific and effective management strategies for the construction of subway stations.

Optimal task-priority projection for behavioral control of networked nonholonomic Mobile robots.

Abstract The Blended Wing Body (BWB) aircraft is a non-conventional aerodynamic configuration that merges the fuselage and wings into a seamless structure, offering significant advantages in fuel efficiency, payload capacity, and aerodynamic efficiency. However, the absence of conventional tail units introduces aerodynamic and stability challenges that require careful design optimization. This study investigates the aerodynamic and static stability characteristics of a baseline BWB design from the European Distributed Multi-Disciplinary Design and Optimization (EU MOB) project. The analysis is performed using a mid-fidelity numerical tool based on the vortex lattice method, incorporating geometric and mass properties from previous studies. Aerodynamic curves and static stability derivatives are evaluated across a specific flight regime and compared with existing literature verifying the suitability of the used tool for preliminary aerodynamic and stability assessments. Subsequently, a parametric study is conducted to assess the effects of varying winglet design parameters, including height, sweep, cant, and toe angles, on aerodynamic efficiency and static stability characteristics. The results demonstrate that optimized winglet configurations can enhance lift-to-drag ratio and improve static stability characteristics without significantly increasing drag. These findings provide valuable insights into the role of winglets in improving BWB aircraft performance and contribute to the optimization of next-generation aerodynamic designs.

The scientific investment decision of Park-level Integrated Energy System (PIES) projects is of great significance to energy enterprises for improving the efficient utilization of funds, promoting green and low-carbon transformation, and achieving the goal of carbon neutrality. This paper proposed a two-stage investment framework that integrates a multi-objective 0–1 programming model with a multi-criteria decision-making (MCDM) technique to determine the optimal PIES project investment portfolios under the constraint of quota investment. First, a multi-objective (MO) 0–1 programming model was constructed for typical PIES projects in Stage-I, which considers economic and environmental benefits to obtain Pareto frontier solutions, i.e., PIES project portfolios. Second, an evaluation index system from multiple dimensions was established, and a hybrid MCDM technique was adopted to comprehensively evaluate the Pareto frontier solutions in Stage-II. Finally, the proposed model was applied to an empirical case, and the simulation results show that the decision framework can achieve the best overall benefit of PIES project portfolios with maximal economic benefit and minimum carbon emissions. In addition, the robustness analysis was performed by changing the indicator weights to verify the stability of the proposed framework. This research work could provide a theoretical tool for investment decisions regarding PIES projects for energy enterprises.

BackgroundChallenges and gaps with routine tuberculosis (TB) data and surveillance systems are well-known. To address them, numerous TB data and evidence-related tools (e.g. surveys, assessments) have been developed to help countries collect, analyze, and use TB-related data. The “TB Data Optimization Project” aimed to assess the use and usefulness of these tools and propose best practices.MethodsPhase one of this mixed-methods project included structured key informant interviews (KIIs) with TB data experts, literature review, and mapping tools' indicators and metrics. Phase two consisted of case studies in five countries (Ethiopia, Kenya, Pakistan, Uganda, and Vietnam). Structured KIIs and a use case discussion were conducted with TB program staff and partners in each country, and TB-related documents were reviewed. Phase three was an online survey for national TB programs. Qualitative data were recorded, transcribed, coded, and inductively analyzed. Quantitative data were analyzed descriptively. Findings were triangulated and summarized into key themes.ResultsSeventy-two KIIs were conducted, 42 countries completed surveys, and 212 documents were reviewed. Six key themes emerged: usefulness, opportunities and challenges with planning and implementation, technical assistance and financial support, timing and coordination, motivating factors for implementation, and the role of tools in relation to routine data systems. The tools provide critical information and most were considered worth the investment. Challenges include suboptimal implementation of the recommendations from the tools, poor timing and coordination of implementation, and insufficient capacity building. A set of best practices was developed.ConclusionWhile the long-term goal is to strengthen and integrate routine data systems, TB data tools currently play an important role in filling gaps. Findings from this project provide considerations for optimal use of TB data tools; however, there is still need for further guidance on selecting the most critical tools to fill gaps during TB programmatic and strategic planning.

The advancement of digital technology in the construction industry has driven the integration of Building Information Modelling (BIM) and Augmented Reality (AR) as a new approach to improving project management efficiency. This article presents a Systematic Literature Review (SLR) aimed at evaluating the benefits and challenges of implementing BIM and AR integration in supporting construction project management performance, particularly in terms of cost, time, and quality management. The analysis reveals that the integration of BIM and AR significantly contributes to real-time project progress monitoring, enhanced team communication and coordination, accelerated decision-making, and improved schedule and quality control. However, the implementation of these technologies still faces challenges, such as visual overlay accuracy, loss of BIM metadata, hardware limitations, and human resource readiness. This study highlights the need for the development of technical guidelines and comprehensive adoption strategies, while also identifying opportunities for further research, particularly in the integration of 5D BIM and AR for more optimal project resource management.

The modern construction industry is undergoing significant transformation due to the rapid development of technologies, particularly artificial intelligence (AI) and information technologies (IT). The introduction of these innovative solutions forms a new basis for making effective decisions in the design and construction process, allowing for the selection of rational building options that meet high requirements for quality, economic efficiency, and environmental sustainability. AI provides the ability to perform detailed analysis of large volumes of data, model different solution options, and predict results with high accuracy. This is especially relevant for construction projects, where every decision – from the choice of materials to the design of infrastructure – can significantly impact the final outcome. The use of AI allows for quick assessment of potential project development scenarios, identification of the most economically feasible solutions, and consideration of possible risks. Information technologies provide access to powerful design and management tools. Software tools for automated design, construction project management systems, and platforms for real-time collaboration contribute to the optimization of processes from planning to implementation. The combination of AI with IT creates a single ecosystem that supports all stages of the building life cycle: from concept to operation and maintenance. One of the main advantages of the joint use of AI and IT in construction is the ability to adapt projects to the specific needs of the customer and the working conditions. By analyzing data on construction site conditions, economic indicators, technical requirements, and regulatory constraints, AI can offer optimal project options that meet these criteria. This not only optimizes costs but also increases the overall efficiency of the project. AI is also able to assess the environmental aspects of construction, which contributes to the creation of sustainable buildings with minimal energy consumption and environmental impact. This is extremely important in the context of modern requirements for energy efficiency and environmental safety of buildings. Therefore, the combination of AI and IT in the construction industry provides new opportunities for project management, contributing to the rational use of resources, cost reduction, and quality assurance in accordance with the requirements of sustainable development.