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1

Li, Xue Mei. "Research on Integration of Project Schedule Buffer and Cost Buffer Based on Key Chain." Applied Mechanics and Materials 422 (September 2013): 321–26. http://dx.doi.org/10.4028/www.scientific.net/amm.422.321.

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Traditional Key Chain (CC) technique encounters problems, such as the limit of application field of CC and the imperfectness of buffer management mechanism. Firstly, in this paper, CC is applied to cost management and integrated model of schedule buffer and cost buffer is made; Secondly, buffer management mechanism of schedule and cost is established to scrutinize synchronously the state of project schedule and cost; Finally, integrated buffer trend of schedule and cost is depicted to be used as an effective tool to control project schedule and cost.
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Yoon, You-Sang, Sang-Wook Suh, Gyu-Seong Jang, and Jang-Shik Choi. "Improvement of Cost-Schedule integration based Progress Management through PMIS." Korean Journal of Construction Engineering and Management 14, no. 5 (2013): 144–52. http://dx.doi.org/10.6106/kjcem.2013.14.5.144.

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3

Riggs, Jeffrey L., Sheila B. Brown, and Robert P. Trueblood. "Integration of technical, cost, and schedule risks in project management." Computers & Operations Research 21, no. 5 (1994): 521–33. http://dx.doi.org/10.1016/0305-0548(94)90101-5.

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4

Carr, Robert I. "Cost, Schedule, and Time Variances and Integration." Journal of Construction Engineering and Management 119, no. 2 (1993): 245–65. http://dx.doi.org/10.1061/(asce)0733-9364(1993)119:2(245).

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5

Michael-Ahile, Terhemba, Jason Avron Samuels, and Marthinus Johannes Booysen. "School Start Times for Solar Alignment: Evaluating the Benefits of Schedule Optimisation for Peak and Cost Reduction." Energies 17, no. 23 (2024): 6112. https://doi.org/10.3390/en17236112.

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The global push towards sustainable energy usage and the increasing adoption of renewable energy sources, such as solar power, requires innovative approaches to energy management, particularly in energy-intensive sectors such as education. This study proposes a change in school start time from 7 a.m. to 9 a.m. to align operational hours with periods of off-peak electricity demand and maximum solar availability. Four scenarios are compared: baseline (current schedule without solar), shifted schedule without solar, baseline with solar, and shifted schedule with solar integration. The analysis re
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Dasović, Borna, and Uroš Klanšek. "Integration of Mixed-Integer Nonlinear Program and Project Management Tool to Support Sustainable Cost-Optimal Construction Scheduling." Sustainability 13, no. 21 (2021): 12173. http://dx.doi.org/10.3390/su132112173.

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This paper presents the integration of mixed-integer nonlinear program (MINLP) and project management tool (PMT) to support sustainable cost-optimal construction scheduling. An integrated structure of a high-level system for exact optimization and PMT was created. To ensure data compatibility between the optimization system and PMT and to automate the process of obtaining a cost-optimal schedule, a data transformation tool (DTT) was developed within a spreadsheet application. The suggested system can determine: (i) an optimal project schedule with associated network diagram and Gantt chart in
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Cho, Daegu, Hunhee Cho, and Daewon Kim. "AUTOMATIC DATA PROCESSING SYSTEM FOR INTEGRATED COST AND SCHEDULE CONTROL OF EXCAVATION WORKS IN NATM TUNNELS." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 20, no. 1 (2014): 132–41. http://dx.doi.org/10.3846/13923730.2013.801907.

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A type-based system is widely used for cost and schedule control in the NATM (New Austrian Tunnelling Method) tunnel. This study raises several limitations of the type-based system: a broad level of control, a distributed approach to cost and schedule data, ad hoc management, and difficulty in deriving meaningful data. Integrated cost and schedule control promises a myriad of benefits on both information flow and construction management. Nevertheless, the integrated approach still seems to be a long way from common use in the construction industry because it requires considerable overhead effo
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Cho, Daegu, Myungdo Lee, and Jihye Shin. "Development of Cost and Schedule Data Integration Algorithm Based on Big Data Technology." Applied Sciences 10, no. 24 (2020): 8917. http://dx.doi.org/10.3390/app10248917.

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In the information age, the role of data in any industry is getting more and more important. In the construction industry, however, experts’ experience and intuition are still key determinants in decision-making, while other industries achieve tangible improvement in paradigm shifts by adopting cutting-edge information technology. Cost and schedule controls, which are closely connected, are decisive in the success of construction project execution. While a vast body of research has developed methodologies for cost-schedule integration over 50 years, there is no method used in practice; it rema
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Tambe, Pravin P., and Makarand S. Kulkarni. "Selective maintenance optimization under schedule and quality constraints." International Journal of Quality & Reliability Management 33, no. 7 (2016): 1030–59. http://dx.doi.org/10.1108/ijqrm-10-2014-0153.

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Purpose – The traditional practice for maintenance, quality control and production scheduling is to plan independently irrespective of an interrelationship exist between them. The purpose of this paper is to develop an approach for integrating maintenance, quality control and production scheduling. The objective is to investigate the benefits of the integrated effect in terms of the expected total cost of system operation of the three functions. Design/methodology/approach – The proposed approach is based on the conditional reliability of the components. Cost model for integrating selective ma
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Suparno, Suparno, Hanie Teki Tjendani, and Budi Witjaksana. "Analysis of Cost and Schedule Variances Using Earned Value Method on Waru - Buduran Frontage Road Bridge Construction Project." Asian Journal of Engineering, Social and Health 4, no. 2 (2025): 288–97. https://doi.org/10.46799/ajesh.v4i2.528.

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Infrastructure development is an important element in supporting economic growth, including in Indonesia. The Waru - Buduran Frontage Road Bridge development project was designed to overcome traffic congestion in the Sidoarjo area as a buffer zone for Surabaya. However, the project faced various obstacles, including schedule deviations and significant costs. This research aims to analyze the project's cost and schedule performance using the Earned Value Analysis method, focusing on Schedule Variance and Cost Variance to identify the main causes of delays and cost inefficiencies and provide rec
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11

Isidore, Leroy J., and W. Edward Back. "Multiple Simulation Analysis for Probabilistic Cost and Schedule Integration." Journal of Construction Engineering and Management 128, no. 3 (2002): 211–19. http://dx.doi.org/10.1061/(asce)0733-9364(2002)128:3(211).

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12

Khalfalli, Marwa, Fouad Ben Abdelaziz, and Hichem Kamoun. "Multi-objective surgery scheduling integrating surgeon constraints." Management Decision 57, no. 2 (2019): 445–60. http://dx.doi.org/10.1108/md-04-2018-0476.

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PurposeThe purpose of this paper is to generate a daily operating theater schedule aiming to minimize completion time and maximum overtime while integrating real-life surgeon constraints, such as their role, specialty, qualification and availability.Design/methodology/approachThe paper deals with complete surgery process using multi-objective surgery scheduling approach. Furthermore, the combinatorial nature of the studied problem does not allow to solve it to optimality. Therefore, the authors developed two approaches embedded in a tabu search metaheuristic, namely, weighted sum and e-constra
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Chen, Hong Long, Wei Tong Chen, and Nai-Chieh Wei. "DEVELOPING A COST-PAYMENT COORDINATION MODEL FOR PROJECT COST FLOW FORECASTING / SĄNAUDŲ IR MOKĖJIMO KOORDINAVIMO MODELIO, SKIRTO PROJEKTŲ SĄNAUDŲ SRAUTŲ PROGNOZĖMS, KŪRIMAS." Journal of Civil Engineering and Management 17, no. 4 (2011): 494–509. http://dx.doi.org/10.3846/13923730.2011.604540.

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Project operating cash flow forecasting techniques have evolved to enable detailed predictions relating to individual projects. These techniques, principally the cost-schedule integration (CSI) model, extensively use project cost estimates and schedule data. Despite CSI models having gained general acceptance, they have not been without criticism. Such criticism includes the problems of differential schedules between network and cost activities, ignoring the important information of payment conditions composed of payment lags, components, and frequency, and the combined adverse effects of paym
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Salama, Tarek, and Osama Moselhi. "Multi-objective optimization for repetitive scheduling under uncertainty." Engineering, Construction and Architectural Management 26, no. 7 (2019): 1294–320. http://dx.doi.org/10.1108/ecam-05-2018-0217.

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Purpose The purpose of this paper is to present a newly developed multi-objective optimization method for the time, cost and work interruptions for repetitive scheduling while considering uncertainties associated with different input parameters. Design/methodology/approach The design of the developed method is based on integrating six modules: uncertainty and defuzzification module using fuzzy set theory, schedule calculations module using the integration of linear scheduling method (LSM) and critical chain project management (CCPM), cost calculations module that considers direct and indirect
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Salamah, Taher, Abdussalam Shibani, and Kheder Alothman. "Improving AEC Project Performance in Syria Through the Integration of Earned Value Management System and Building Information Modelling: A Case Study." International Journal of BIM and Engineering Science 6, no. 1 (2023): 74–95. http://dx.doi.org/10.54216/ijbes.060105.

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The Construction sector in Syria is adversely far beyond other industries in terms of economic growth rate and technological advancements, in what makes AEC projects less committed to schedule, cost, and quality. Yet, there aren’t binding criteria that stakeholders, such as contractors, and design and implementation firms might adhere to. This study explores the performance of implementing construction projects to establish a methodology to enhance schedule and cost performance through the use of Earned Value Management System (EVMS) and Building Information Modelling (BIM). This research will
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Khesal, Tahereh, Abbas Saghaei, Mohammad Khalilzadeh, Masoud Rahiminezhad Galankashi, and Roya Soltani. "Integrated cost, quality, risk and schedule control through earned value management (EVM)." Journal of Engineering, Design and Technology 17, no. 1 (2019): 183–203. http://dx.doi.org/10.1108/jedt-07-2018-0119.

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PurposeThe purpose of this paper is to propose an integrated earned value management (EVM) approach to control quality, cost, schedule and risk of projects.Design/methodology/approachThis study represents a new EVM framework by considering a quality control index. Particularly, some control indices and cumulative buffers are defined by two proposed, methods, namely the linear- and Taguchi-based methods. These methods are implemented in three different projects in different industries.FindingsAccording to the results, integration of the quality index creates a better control situation by provid
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Cerezo-Narváez, Alberto, Andrés Pastor-Fernández, Manuel Otero-Mateo, and Pablo Ballesteros-Pérez. "Integration of Cost and Work Breakdown Structures in the Management of Construction Projects." Applied Sciences 10, no. 4 (2020): 1386. http://dx.doi.org/10.3390/app10041386.

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Scope management allows project managers to react when a project underperforms regarding schedule, budget, and/or quality at the execution stage. Scope management can also minimize project changes and budget omissions, as well as improve the accuracy of project cost estimates and risk responses. For scope management to be effective, though, it needs to rely on a robust work breakdown structure (WBS). A robust WBS hierarchically and faithfully reflects all project tasks and work packages so that projects are easier to manage. If done properly, the WBS also allows meeting the project objectives
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18

Gunawan, Liem Stefani Meilia. "OPTIMIZED MANAGEMENT STRATEGY FOR CONSTRUCTION PROJECTS CONSIDERING THE TRADE-OFF OF ESTIMATE SCHEDULE AND COST AT COMPLETION." Dimensi Utama Teknik Sipil 6, no. 2 (2019): 26–37. http://dx.doi.org/10.9744/duts.6.2.26-37.

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Nowadays, the minimization of project time and cost is an important issue. However, time and cost problems are difficult to solve. They are affected by the uncertain factor. Then, the construction project always fails to achieve the effectiveness of time and cost performance. It causes delays and cost overrun. In this research, SOS-NN-LSTM is required to establish the estimate schedule to completion (ESTC) and estimate cost to completion (ECTC) prediction model based on time now performance. Then, the prediction model will be integrated with MOSOS to obtain the optimal prediction value. The in
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19

Jiang, Yuxuan. "Research On the Application of Intelligent Management Technology in Construction Engineering." Highlights in Science, Engineering and Technology 106 (July 16, 2024): 616–22. http://dx.doi.org/10.54097/t17rdx47.

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Under the background of rapid economic and urbanization, the management mode of construction engineering is undergoing a transformation to adapt to the increasing complexity and dynamic nature. With the help of modern information technology, intelligent project management provides a full-cycle solution for construction projects. This study explores the multiple applications of intelligent technology in construction project management, including the integrated application of (Building Information Modeling) BIM technology in design, construction and operation, as well as the practice of intellig
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20

Purbo, Atma Djendra, Esti Wulandari, and Laksono Djoko Nugroho. "Analysis of Cost and Time Performance for Rehabilitation of Ws Brantas Retention Basin Using the Earned Value Method." Enrichment: Journal of Multidisciplinary Research and Development 3, no. 1 (2025): 39–44. https://doi.org/10.55324/enrichment.v3i1.271.

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This research analyzes the cost and time performance of the WS Brantas reservoir rehabilitation project using the Earned Value method, addressing challenges such as cost overruns and schedule delays. The objectives include identifying cost and schedule deviations through the Schedule Performance Index (SPI) and Cost Performance Index (CPI) indicators, and evaluating the method's effectiveness in enhancing project management efficiency. Employing a qualitative descriptive approach, data were collected from nine project sites across Jombang, Tulungagung, and Blitar Regencies over six months, uti
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Sun, Hong Fei, Lan Ping Zhou, and Yan Yan Wang. "Joint Analysis of the Power Generation Construction Project Schedule, Cost and Quality Based on DEA." Applied Mechanics and Materials 467 (December 2013): 282–86. http://dx.doi.org/10.4028/www.scientific.net/amm.467.282.

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As economic globalization and information technology integration, it brings a great deal of changes and challenges to enterprise business and management. This research is aimed at establish a reasonable configurations among schedule, cost and quality of power construction projects in China and draw up a standardization process to enterprise management. According to a detailed joint analysis of the process efficiency and resource matching condition with Date Envelopment Analysis (DEA) method, we formulate two models including CCR and BBC. Then we select 12 power construction projects as samples
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Meng, Fanmin, Shaozhi Yu, and Jianying Xue. "Construction Schedule Management System for Large-Scale Construction Projects Based on Multisensor Network." Computational Intelligence and Neuroscience 2022 (September 14, 2022): 1–10. http://dx.doi.org/10.1155/2022/3003552.

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As an important task of construction project management, construction schedule management is related to the realization of project period, cost, quality, and other objectives. However, in actual construction, problems such as difficulties in plan implementation and management are often encountered, and schedule delays often occur. Moreover, with the increase in the scale and complexity of modern buildings, the management of construction schedules has brought about larger issues and higher requirements have been put forward for the management level of the construction schedule. The traditional
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Pratik Bhikhubhai Panchal. "The role of advanced earned value management (EVM) metrics in schedule performance analysis of building projects." World Journal of Advanced Engineering Technology and Sciences 9, no. 2 (2023): 391–405. https://doi.org/10.30574/wjaets.2023.9.2.0194.

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Although venerable by the tide, the tools and metrics used still include CPI, SPI, and performance in the form of schedules; these hardly reflect true scheduling performance, especially in more complex scenarios of building projects subject to multiple variables. Thus, the advanced metrics of EVM introduced for measuring the Earned Schedule (ES), Schedule Variance (SV), and To-Complete Performance Index (TCPI) allow not only the argument of schedules on more rigorous grounds but also for extensive commentary with an eye both to history and future in respect of schedule performance. This resear
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Zhang, Shuangxi. "Practical Application of Earned Value in Software Project Management—Taking the Developed IT Project as an Example." Modern Management Forum 4, no. 3 (2020): 67. http://dx.doi.org/10.18686/mmf.v4i3.2400.

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<p>Earned value management (EVM) emerged in the United States in the 1960s<sup>[1]</sup>. It is used as an important standard of project cost management and progress management. The focus of earned value is to accurately measure the specific plan and actual performance of a project, which can accurately predicts the final cost and schedule results of the project. Earned value is based on the integration of various means of project management, so that the real cost performance of the project can be reflected, which is not achieved by other project management technologies. Base
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Citra, Zel, Paksi Dwiyanto Wibowo, Yosie Malinda, Rodliyan Yusuf Pranoto, and Fanny Pitaloka. "Integration of Java Programming-Based Pert and Earned Value Management Methods Based on Residential Precast Case Study to Improve Project Cost Efficiency." Rekayasa Sipil 18, no. 1 (2024): 12–17. http://dx.doi.org/10.21776/ub.rekayasasipil.2024.018.01.3.

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The need for residential houses is still high for property and construction commodities. The availability of land and market prices for residential houses continue to increase yearly. Only 45.04% of Jakarta residents had a home ownership status in 2020. 2021 is the precast building mode. It is justified that precast construction structures can save 35% on construction costs and are 27.33% more reliable than ordinary concrete structures. The research examines the integration of the PERT method and earned value management (EVM) based on Java programming in residential precast case studies. The r
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Priya Devnani. "Integrated Approaches to Project Management in Engineering Applications." Applied Science, Engineering and Management Bulletin [ASEMB] 2, no. 01(Jan-Mar) (2025): 14–23. https://doi.org/10.69889/asemb.v2i01(jan-mar).22.

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The complexity and dynamism of modern engineering projects necessitate the adoption of integrated approaches to project management (PM). This article explores the role of integrated PM strategies in enhancing the efficiency and effectiveness of engineering applications. By examining key methodologies such as the integration of project scope, schedule, cost, and resources, the paper highlights how these approaches lead to improved decision- making, better risk management, and optimized project performance. The integration of tools like project management software, collaboration platforms, and l
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Suparno, Suparno, Hanie Teki Tjendani, and Budi Witjaksana. "Cost Estimation and Project Completion Time with Earned Value Analysis Approach on Waru-Buduran Frontage Road Project In Sidoarjo." Journal of Social Science (JoSS) 4, no. 1 (2025): 43–52. https://doi.org/10.57185/joss.v4i1.412.

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The construction project of the Frontage Road Waru-Buduran in Sidoarjo has faced significant delays, highlighting the critical challenges in maintaining project efficiency. This study aims to analyze the cost and schedule estimates for the remaining work, as well as the total project completion using the Earned Value Analysis (EVA) method. The analysis results reveal a progress deviation of -9.911% by week 14 out of the total planned 21 weeks, indicating substantial schedule delays. Final completion estimates indicate a delay of 16.5 days and cost efficiency of IDR 1,246,797,954.06 (3.8%), dem
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Rabie, Mohamad, and Sameh El-Sayegh. "Modelling of tri-parameter bidding integrating cost, time and risk: a stochastic approach." Journal of Financial Management of Property and Construction 22, no. 2 (2017): 117–34. http://dx.doi.org/10.1108/jfmpc-06-2016-0024.

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Purpose This paper aims to propose a new tri-parameter bidding model integrating cost, time and risk. The key value of the model is that it remains within the framework of the competitive bidding system while controlling the risk resulting from float loss. Design/methodology/approach The model utilizes stochastic scheduling to quantify the float loss impact at the project level. Prospective bidders are evaluated based on their total combined bid (TCB) including cost, time and risk. The risk parameter is calculated as the relative risk between the bidder’s schedule and the client’s baseline sch
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Ramos, Michael, Neil Balba, Jesusa Padilla, Edgardo Dajao, and Juan Tallara Jr. "Improving Project Management Performance Through Data Analytics." Asia Pacific Journal of Management and Sustainable Development 13, no. 1 (2025): 92–98. https://doi.org/10.70979/zdpv7001.

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In today’s complex IT landscape, organizations frequently encounter budget overruns and schedule delays that undermine project success. This study investigates the role of data analytics in enhancing project management performance, focusing on cost efficiency and schedule adherence. Through a comparative analysis of multiple infrastructure and IT outsourcing projects—some managed with advanced analytics tools and others with traditional methods—this employs descriptive and inferential statistics alongside a structured cost-benefit evaluation. Key findings reveal that analytics-enabled projects
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Rohani, Mohammad, Gholamali Shafabakhsh, Abdolhosein Haddad, and Ehsan Asnaashari. "Strategy management of construction workspaces by conflict resolution algorithm and visualization model." Engineering, Construction and Architectural Management 25, no. 8 (2018): 1053–74. http://dx.doi.org/10.1108/ecam-08-2016-0183.

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Purpose The spatial conflicts and congestion of construction resources are challenges that lead to the reduction in efficiency. The purpose of this paper is to enable users to detect and resolve workspace conflicts by implementing four resolution strategies in a five-dimensional (5D) CAD model. In addition to resolving conflicts, the model should be able to optimize time and cost of the projects. In other words, three variables of spatial conflicts, time and cost of project are considered simultaneously in the proposed model to find the optimum solution. Design/methodology/approach In the firs
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Asgher, Urooj, Muhammad Rasheed, Ameena Al-Sumaiti, et al. "Smart Energy Optimization Using Heuristic Algorithm in Smart Grid with Integration of Solar Energy Sources." Energies 11, no. 12 (2018): 3494. http://dx.doi.org/10.3390/en11123494.

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Smart grid (SG) vision has come to incorporate various communication technologies, which facilitate residential users to adopt different scheduling schemes in order to manage energy usage with reduced carbon emission. In this work, we have proposed a residential load management mechanism with the incorporation of energy resources (RESs) i.e., solar energy. For this purpose, a real-time electricity price (RTP), energy demand, user preferences and renewable energy parameters are taken as an inputs and genetic algorithm (GA) has been used to manage and schedule residential load with the objective
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Salman, Nagham, and Muna Hamadeh. "The Integration of Virtual Design and Construction (VDC) With the Fourth Dimension of Building Information Modeling (4D BIM)." International Journal of BIM and Engineering Science 7, no. 1 (2023): 08–27. http://dx.doi.org/10.54216/ijbes.070101.

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The aim of the research is to shed light on the relationship between the concepts of Virtual design and construction (VDC) and building information modeling (BIM), and in particular to identify and evaluate the potential benefits of using a methodology based on the integration of the fourth dimension of (4D BIM) with virtual design and construction (VDC) and its impact on the preparation of the schedule and project planning and construction simulation. The research reviews a case study of Pharmacists Syndicate building - Tartous branch, the building model (3D BIM) was created in Autodesk Revit
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Kim, Dongwook, Jose Matos, and Son N. Dang. "Development of BIM Platform for Semantic Data Based on Standard WBS Codes." Buildings 15, no. 5 (2025): 711. https://doi.org/10.3390/buildings15050711.

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Building Information Modeling (BIM) has become an indispensable tool for risk management and construction oversight, especially in the case of complex and irregularly shaped buildings. BIM’s ability to reduce construction errors has been proven through advanced features like clash detection, schedule forecasting, and cost estimation. As the adoption of BIM grows, software providers such as Autodesk, Bentley, Trimble, and Nemetschek have developed advanced tools that incorporate Project Lifecycle Management (PLM). However, these tools are not easily transferable to Asian countries, where constr
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Sai Manoj Jayakannan. "Predictive analytics for construction project risk management: Leveraging AI for proactive mitigation strategies." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 2204–9. https://doi.org/10.30574/wjaets.2025.15.2.0737.

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The construction industry confronts significant challenges related to risk management, with traditional approaches often failing to prevent costly delays, budget overruns, and safety incidents. Artificial intelligence and machine learning technologies present transformative opportunities for shifting from reactive to proactive risk management in construction projects. Predictive analytics leverages historical data patterns, real-time monitoring, and sophisticated algorithms to forecast potential issues before they materialize and impact project performance. This comprehensive examination explo
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Chaudhary, Vishal Kumar. "AI-Enhanced Lean-EVM Framework for Railway Infrastructure Delivery: Integrating WBS, LPS, LBMS, and Deep Learning." International Journal for Research in Applied Science and Engineering Technology 13, no. 6 (2025): 1929–33. https://doi.org/10.22214/ijraset.2025.72552.

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Railway construction often feels like orchestrating dozens of moving pieces—earthworks, track-laying, Bridges, approach roads, signalling—scattered over many kilometres. Traditional tools such as Work Breakdown Structures and Earned Value Management give teams clear budgets and high-level timelines, but they struggle to reflect what’s happening daily. Lean approaches like the Last Planner System and Location-Based Management System bring in weekly commitments and spatial flow-line charts. Yet, they still rely on manual updates and can’t foresee emerging problems. In this paper, we weave these
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Beenish, Summaira, and Aftab Ahmad. "Optimization of Microgrid Energy Cost with Electrical Vehicles and Demand Response." Pakistan Journal of Engineering and Technology 6, no. 1 (2023): 57–62. http://dx.doi.org/10.51846/vol6iss1pp57-62.

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Challenges with current power systems include increasing energy costs and Greenhouse gasses. Participation in distributed generators (DGs) and demand response (DR) strategies inside the distribution network may solve these issues. This paper's primary objective is to suggest an energy management system (EMS) strategy for campus microgrid reduce all the issues mentioned above. To practice this strategy a microgrid is considered. Conventionally the microgrid uses a utility grid to fulfill load demands. But in the proposed model the integration of a micro turbine, photovoltaic (PV) system, batter
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Reznikov, Roman. "Enhancing Project Management Success through Artificial Intelligence." International Journal of Multidisciplinary Research and Growth Evaluation 6, no. 1 (2025): 1036–46. https://doi.org/10.54660/.ijmrge.2025.6.1.1036-1046.

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The increasing complexity and dynamic nature of modern business environment demand innovative approaches to project management. This paper explores the transformative potential of Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs) in revolutionizing project management practices across all ten knowledge areas outlined in the PMBOK® Guide. Through a comprehensive study of 84 organizations spanning diverse industries—construction, IT, pharmaceuticals, and aerospace in the EU, UK, USA, and the Middle East -– this research highlights how these advanced technologie
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Jrade, Ahmad, and Julien Lessard. "An Integrated BIM System to Track the Time and Cost of Construction Projects: A Case Study." Journal of Construction Engineering 2015 (November 16, 2015): 1–10. http://dx.doi.org/10.1155/2015/579486.

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Many construction projects suffer from poor design and from inconsistent time and cost management. This situation has led to rethinking of the industry’s performance and how it could be improved. Technology is breaking through design and management practices. Earned value management (EVM) enables better management of time and cost constraints. Building Information Modeling (BIM) is recognized to improve the planning and realization of a construction project. The present paper proposes an integrated time and cost management system (ITCMS), where an EVM platform is used in a virtual environment
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Xu, Zhe, Jing Yu, and Hongbo Li. "Analyzing Integrated Cost-Schedule Risk for Complex Product Systems R&D Projects." Journal of Applied Mathematics 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/472640.

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The vast majority of the research efforts in project risk management tend to assess cost risk and schedule risk independently. However, project cost and time are related in reality and the relationship between them should be analyzed directly. We propose an integrated cost and schedule risk assessment model for complex product systems R&D projects. Graphical evaluation review technique (GERT), Monte Carlo simulation, and probability distribution theory are utilized to establish the model. In addition, statistical analysis and regression analysis techniques are employed to analyze simulatio
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Putri, Imas Yuniar, Lusiana Lusiana, Rafie Rafie, Syahrudin Syahrudin, and Safaruddin M. Nuh. "ANALYSIS OF TIME AND COST CONTROL IN AN ASRAMA HAJI PONTIANAK BUILDING CONSTRUCTION PROJECT USING THE EARNED VALUE ANALYSIS METHOD." Jurnal Teknik Sipil 24, no. 2 (2024): 924. http://dx.doi.org/10.26418/jts.v24i2.76538.

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Efficient management of construction projects requires meticulous oversight of both time and cost elements. This investigation focuses on employing Earned Value Analysis (EVA) to supervise and regulate the Asrama Haji Pontianak Building Construction Project. EVA furnishes indispensable insights conducive to proactive decision-making by evaluating the project's advancement vis-à-vis predetermined schedules and financial plans. The study critically assesses the utilization of EVA, scrutinizing its efficacy in forecasting project outcomes, detecting deviations, and facilitating prompt corrective
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41

Dzyuba, A. P., and A. V. Semikolenov. "Model of active energy complexes management in integration with electricity demand management technology." Surgut State University Journal 12, no. 4 (2024): 8–26. https://doi.org/10.35266/2949-3455-2024-4-1.

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The article focuses on developing a management model for active energy complexes. Industrial enterprises utilize these complexes, and their management integrates with demand response technology. The authors analyze the mechanisms of pricing for electricity supply for all segments of the electricity cost: the cost of electricity, the cost of electric capacity, the cost of electricity transmission services, formed taking into account the unevenness of demand schedules for electricity consumption. The structures of factors influencing the unevenness of demand for electricity consumption at an ind
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Lai, Jianying, Heap-Yih Chong, Bin Qin, Ling Xia Liao, and Han-Chieh Chao. "Applying Artificial Intelligence in Construction Management: A Scoping Review." Journal of Internet Technology 26, no. 1 (2025): 1–12. https://doi.org/10.70003/160792642025012601001.

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With the growth of artificial intelligence (AI) and Industry 4.0, construction management has entered a phase of rapid digital transformation. In order to effectively adopt digital applications of construction management, this paper aims to identify the specific applications of AI in construction management from the perspective of Construction 4.0, especially when applying technologies from Industry 4.0. A scoping review methodology was used to explore the limited literature in this research area. 60 articles were selected to analyze the state of the art of AI applications in construction mana
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Muhsen, Dhiaa Halboot, Haider Tarish Haider, Yaarob Al-Nidawi, and Tamer Khatib. "Optimal Home Energy Demand Management Based Multi-Criteria Decision Making Methods." Electronics 8, no. 5 (2019): 524. http://dx.doi.org/10.3390/electronics8050524.

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From the growth of residential energy demands has emerged new approaches for load scheduling to realize better energy consumption by shifting the required demand in response to cost changes or incentive offers. In this paper, a hybrid method is proposed to optimize the load scheduling problem for cost and energy saving. The method comprises a multi-objective optimization differential evolution (MODE) algorithm to obtain a set of optimal solutions by minimizing the cost and peak of a load simultaneously, as a multi-objective function. Next, an integration of the analytic hierarchy process (AHP)
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Castañeda, Karen, Omar Sánchez, Carlos A. Peña, Rodrigo F. Herrera, and Guillermo Mejía. "BIM Uses for Mitigating Deficiencies in Road Scheduling Planning." Sustainability 17, no. 6 (2025): 2729. https://doi.org/10.3390/su17062729.

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Efficient scheduling is essential for successful and sustainable road construction projects. However, conventional planning approaches often lack adaptability, visualization, and integration with modern technologies, leading to schedule deficiencies and cost overruns. Therefore, this paper studies the influence of BIM uses in mitigating planning deficiencies in road construction scheduling. A four-stage research method was employed: (1) identification of BIM uses relevant to road projects, (2) determination of principal causes contributing to scheduling deficiencies, (3) cross-impact analysis
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Avanthika and Pushparaj A. Naik. "Integrating Dimensions in Predictive Risk Models for Construction Projects." IOP Conference Series: Earth and Environmental Science 1387, no. 1 (2024): 012007. http://dx.doi.org/10.1088/1755-1315/1387/1/012007.

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Abstract This review explores the evolution of predictive risk models in construction, emphasizing the integration of key dimensions—quality, safety, schedule delay, cost overrun, and environmental risk. Synthesizing diverse literature, it highlights findings, methodologies, and implications. From a historical perspective, it outlines criteria and search strategies, addressing limitations. Thematic sections delve into individual risk dimensions, and cross-theme analysis identifies overarching trends. Methodological approaches are scrutinized, challenges and controversies are discussed, and fut
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Fahmy, Amer, Tarek Hassan, Hesham Bassioni, and Ronald McCaffer. "Dynamic scheduling model for the construction industry." Built Environment Project and Asset Management 10, no. 3 (2019): 313–30. http://dx.doi.org/10.1108/bepam-02-2019-0021.

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Purpose Basic project control through traditional methods is not sufficient to manage the majority of real-time events in most construction projects. The purpose of this paper is to propose a Dynamic Scheduling (DS) model that utilizes multi-objective optimization of cost, time, resources and cash flow, throughout project construction. Design/methodology/approach Upon reviewing the topic of DS, a worldwide internet survey with 364 respondents was conducted to define end-user requirements. The model was formulated and solution algorithms discussed. Verification was reported using predefined pro
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Huang, Rong-Hwa, Tung-Han Yu, and Chen-Yun Lee. "Rolling Supply Chain Scheduling considering Suppliers, Production, and Delivery Lot-Size." Mathematical Problems in Engineering 2018 (September 30, 2018): 1–14. http://dx.doi.org/10.1155/2018/8601209.

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Supply chain management and integration play a key factor in contemporary manufacturing concept. Companies seek to integrate itself within a cooperative and mutual benefiting supply chain. Supply chain scheduling, as an important aspect of supply chain management, highly emphasizes on minimizing stock costs and delivery costs. Most previous researches on supply chain scheduling problems assume make-to-order production, which includes delivery cost in lot-size. This practice simplifies the complexity of the problem. Instead, this research discusses make-to-contract production, where the supply
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Wiranegara, Dimas Gusti, Gede Sarya, and Masca Indra Triana. "Earned Value Analysis Terhadap Biaya dan Waktu pada Proyek Pembangunan Gudang Produksi PP. Indopack Printing Nganjuk." Jurnal Teknik Industri Terintegrasi 7, no. 3 (2024): 1673–87. http://dx.doi.org/10.31004/jutin.v7i3.31047.

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Earned Value Analysis is a technique of analyzing cost and time to obtain the performance achieved per time on a project, so that users are able to predict the cost and time required to complete the remaining project work. The prediction is calculated with the assumption that the performance of completing the rest of the project will be the same and constant as the performance obtained when the review was conducted. Thus, a system is needed to integrate cost and time information. The Earned Value concept is an analysis used in project management by integrating cost and time. The results show t
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Sunarti, Noorhidayah, Zetty Pakir Mastan, and Lum Seon Cin. "The Application and Challenges of Earned Value Management (EVM) As Cost Monitoring Tool in the Construction Industry." International Journal of Engineering & Technology 7, no. 3.36 (2018): 96. http://dx.doi.org/10.14419/ijet.v7i3.36.29086.

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Earned Value Management (EVM) is one of the fundamental approaches acting as a comprehensive project management and controlling technique for tracking the costs and examining project expenditures relative to the physical progress of work. Majority of the previous literature reviews and findings indicates the positive contributions of EVM in monitoring the project time-cost performance progressively and forecasting its future trends. However, EVM was not widely used as practically, the traditional cost and schedule monitoring tool is still very common in the construction industry. Thus, this re
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., Keshav, and Er Harvinder Singh. "An Overview of Construction Management by Using Building Information Modelling Software with Integration of Augmented Reality." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 1112–18. http://dx.doi.org/10.22214/ijraset.2022.43973.

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Abstract: Construction management is an effective approach to facilitate services for giving out effective results to the projects' schedule, cost, and quality for the purpose of completing the project at a given time. Building information modeling (BIM) has given tremendous up-gradation to the construction industry by providing data with accuracy to the customers. With the advent of technological advancement, BIM (Building information modelling) is gaining more interest, possessing the capacity to advance project facilitation through 3D modeling, 3D viewing, and other means. This research imp
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