Uncertain Time-Resource-Cost Trade-Off Models for Construction Project Schedule

2021 ◽  
Author(s):  
Changming Hu ◽  
Juan Wang ◽  
Yuan Mei
Keyword(s):  
Construction Project ◽  
Project Schedule ◽  
Trade Off ◽  
Resource Cost ◽  
Uncertain Time ◽  
Time Resource

scholarly journals Scheduling Optimization of Prefabricated Construction Projects by Genetic Algorithm

2021 ◽  
Vol 11 (12) ◽  
pp. 5531
Author(s):  
Linlin Xie ◽  
Yajiao Chen ◽  
Ruidong Chang
Keyword(s):  
Project Scheduling ◽  
Construction Projects ◽  
Resource Constraints ◽  
Construction Project ◽  
Engineering Application ◽  
Project Schedule ◽  
Scheduling Optimization ◽  
Implementation Method ◽  
Traditional Construction ◽  
Construction Project Scheduling

Prefabricated buildings are the direction of the future development of the construction industry and have received widespread attention. The effective execution of prefabricated construction project scheduling should consider resource constraints and the supply arrangement of prefabricated components. However, the traditional construction resource-constrained project scheduling implementation method cannot simultaneously consider the characteristics of the linkage between component production and on-site assembly construction. It cannot also fully adapt to the scheduling implementation method of the prefabricated construction projects. It is difficult to work out a reasonable project schedule and resource allocation table. In order to determine the relevant schedule parameters that can reflect the actual construction situation of the prefabricated building and meet the scheduling requirements of the prefabricated project, this study proposes a prefabricated construction project scheduling model that considers project resource constraints and prefabricated component supply constraints. Additionally, it improves the design of traditional genetic algorithms (GAs). Research results of the experimental calculation and engineering application show that the proposed project scheduling optimization model and GA are effective and practical, which can help project managers in effectively formulating prefabricated construction project scheduling plans, reasonably allocating resources, reducing completion time, and improving project performance.

scholarly journals The Message Shapes Phonology

2019 ◽  
Author(s):  
Andrew B Wedel ◽  
Kathleen Hall ◽  
T. Florian Jaeger ◽  
Elizabeth Hume
Keyword(s):  
Information Theory ◽  
Bayesian Inference ◽  
Diverse Range ◽  
Trade Off ◽  
Message Transmission ◽  
Phonological Categories ◽  
Resource Cost ◽  
Sound Patterns ◽  
Complementary Set ◽  
Testable Model

Based on a diverse and complementary set of theoretical and empirical findings, we describe an approach to phonology in which sound patterns are shaped by the trade-off between biases supporting message transmission accuracy and resource cost. We refer to this approach as Message-Oriented Phonology. The evidence suggests that these biases influence the form of messages, defined with reference to a language's morphemes, words or higher levels of meaning, rather than influencing phonological categories directly. Integrating concepts from information theory and Bayesian inference with the existing body of phonological research, we propose a testable model of phonology that makes quantitative predictions. Moreover, we show that approaching language as a system of message transfer provides greater explanatory coverage of a diverse range of sound patterns.

Using issue logs to improve construction project performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amirali Shalwani ◽  
Brian Lines
Keyword(s):  
Best Practice ◽  
Management Practices ◽  
Construction Project ◽  
Pairwise Comparison ◽  
Performance Outcomes ◽  
Project Performance ◽  
Project Teams ◽  
Project Schedule ◽  
Building Projects ◽  
Content Type

PurposeThe Project Management Body of Knowledge recommends the use of issue logs as a best practice to minimize the potential project cost and schedule growth. Although the broader topic of project control has been widely studied in the construction literature, the specific application of issue logs has remained relatively understudied. This study aims to analyze the extent and consistency with which construction teams utilize issue logs and the corresponding project performance outcomes.Design/methodology/approachA dataset of 5,635 individual issues was gathered from the final issue logs of 881 small building projects delivered via the design–bid–build method. Differences between groups were determined using the Kruskal–Wallis H test with post hoc testing via the Mann–Whitney U test with pairwise comparison.FindingsThe results showed that, on average, project teams who used issue logs to a greater extent achieved a 3.1 to 4.3% reduction in cost growth and a 5.3 to 12.3% reduction in schedule growth. This result shows that issue logs can be used to improve construction project performance in the areas of cost and schedule.Originality/valueThis result provides a contribution to practitioners, wherein project teams should be encouraged to establish their issue management practices early in the project schedule to encourage greater issue log usage for the remainder of the project.

scholarly journals Toward Reducing Construction Project Delivery Time under Limited Resources

2021 ◽  
Vol 13 (19) ◽  
pp. 11035
Author(s):  
Hossam H. Mohamed ◽  
Ahmed H. Ibrahim ◽  
Asmaa A. Soliman
Keyword(s):  
Construction Projects ◽  
Resource Constraints ◽  
Optimization Problems ◽  
Cost Optimization ◽  
Construction Project ◽  
Limited Resource ◽  
Project Managers ◽  
Project Schedule ◽  
Java Program ◽  
Optimizing Model

One of the most vital construction project aspects is to complete a project in minimum time restricted to the time–cost trade-off. Overlapping activities’ planning and their impact on the project under limited resource constraints should be considered. This study aims to develop a model for optimizing the project schedule and cost regarding overlap activities and their impacts. This study reviews previous studies on changes in past activities likely to produce additional reworking of subsequent activities. In addition, an AHP model is developed to assess the reworking time of subsequent activities based on possible changes in previous activities. In addition, five realistic construction projects are applied. Finally, an optimizing model is developed for optimizing project time and cost using overlapping techniques by using the Java program. The results indicate that the proposed model can be used by project managers easily for solving time and cost optimization problems. In addition, it can be updated to continuously improve its functionality. Finally, it can be updated later to support AI for finding better solutions.

scholarly journals SCIENTOMETRIC REVIEW OF CONSTRUCTION PROJECT SCHEDULE STUDIES: TRENDS, GAPS AND POTENTIAL RESEARCH AREAS

2020 ◽  
Vol 26 (4) ◽  
pp. 343-363
Author(s):  
Gebrehana Derbe ◽  
Yashuai Li ◽  
Di Wu ◽  
Qiuhong Zhao
Keyword(s):  
Performance Management ◽  
Construction Projects ◽  
Construction Project ◽  
Future Research ◽  
Scientometric Analysis ◽  
Project Schedule ◽  
Document Type ◽  
Research Areas ◽  
Future Potential ◽  
Abstract Content

Scheduling plays a fundamental role in construction projects’ success and thus has drawn attention from both academic researchers and industry practitioners. A large number of research articles tend to solve emerging challenges in construction project schedule (CPS). Therefore, there is a strong need of systematic review on existing studies. In this study, a total of 332 articles were retrieved from Scopus database using title, abstract and keywords with respect to CPS and filtered by document type, language type and abstract content. In particular, science mapping approach was adopted to analyse selected journal articles. These articles were examined using three sequential processes, including bibliometric search, scientometric analysis, and in-depth qualitative discussion. It could demonstrate the most influential journals, researchers, published articles, and active countries/regions in this area. In addition, major CPS knowledge areas were identified and summarized as CPS constructability, applications of variety of CPS methods, CPS optimization models and algorithms, identification and quantification of schedule risks and uncertainties, CPS performance management, and adopting new emerging CPS technologies and methods. Furthermore, knowledge gaps and future potential research directions were also discussed in detail. Finally, a comprehensive CPS framework was proposed as a sound reference in future research.

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