Time–Cost Optimization Model Considering Float-Consumption Impact

2015 ◽  
Vol 141 (5) ◽  
pp. 04015001 ◽  
Author(s):  
Rana A. Al Haj ◽  
Sameh M. El-Sayegh
Keyword(s):  
Optimization Model ◽  
Cost Optimization ◽  
Time Cost

Time-cost optimization in repetitive project scheduling with limited resources

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xin Zou ◽  
Lihui Zhang ◽  
Qian Zhang
Keyword(s):  
Optimization Model ◽  
Cost Optimization ◽  
Residential Building ◽  
Indirect Costs ◽  
Limited Resource ◽  
Project Performance ◽  
Time Cost ◽  
Early Completion ◽  
Solution Quality ◽  
Content Type

PurposeThe purpose of this research is to develop a time-cost optimization model to schedule repetitive projects while considering limited resource availability.Design/methodology/approachThe model is based on the constraint programming (CP) framework; it integrates multiple scheduling characteristics of repetitive activities such as continuous or fragmented execution, atypical activities and coexistence of different modes in an activity. To improve project performance while avoiding inefficient hiring and firing conditions, the strategy of bidirectional acceleration is presented and implemented, which requires keeping regular changes in the execution modes between successive subactivities in the same activity.FindingsTwo case studies involving a real residential building construction project and a hotel refurbishing project are used to demonstrate the application of the proposed model based on four different scenarios. The results show that (1) the CP model has great advantages in terms of solving speed and solution quality than its equivalent mathematical model, (2) higher project performance can be obtained compared to using previously developed models and (3) the model can be easily replicated or even modified to enable multicrew implementation.Originality/valueThe original contribution of this research is presenting a novel CP-based repetitive scheduling optimization model to solve the multimode resource-constrained time-cost tradeoff problem of repetitive projects. The model has the capability of minimizing the project total cost that is composed of direct costs, indirect costs, early completion incentives and late completion penalties.

BIM-based time-cost optimization of a large-span spatial steel structure in an airport terminal building

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jingyu Yu ◽  
Jingfeng Wang ◽  
Zhengmao Hua ◽  
Xingxing Wang
Keyword(s):  
Optimization Model ◽  
Cost Optimization ◽  
Steel Structure ◽  
Steel Structures ◽  
Information Modeling ◽  
Time Cost ◽  
Aesthetic Quality ◽  
Content Type ◽  
Large Span ◽  
Airport Terminal

Purpose Airports are booming in China, to enlarge their capacities and stimulate economic development. Large-span spatial steel structures are commonly used in the terminal buildings of airport projects. Their advantages include prefabrication, strength, usability, adaptability and aesthetic quality. To manage large-span spatial steel structure projects, building information modeling (BIM) is recommended. Although there are plenty of studies on BIM application in steel structure projects, it is still rare to apply BIM to optimize the schedule and cost of steel structures, especially for airport projects. Design/methodology/approach This paper aims to develop a framework in which BIM and a time-cost optimization model are integrated to optimize construction costs and the duration of large-span spatial steel structure projects. A real case study was conducted to verify the feasibility of the BIM-based time-cost optimization model in an airport terminal building, which was built with a large-span spatial steel structure. Findings The results preliminarily support the reliability of the proposed BIM-based time-cost optimization model. The BIM-based time-cost optimization model will benefit construction planning for professionals and enrich relevant research on the application of BIM in large-span spatial steel structure projects. Originality/value The steel structure is difficult to control budgets and progress. This paper is expected to be adopted for optimizing the time and cost plans for projects involving steel structures in airport terminal buildings.

A cost optimization model for 100% renewable residential energy supply systems

Energy ◽  
2012 ◽  
Vol 48 (1) ◽  
pp. 118-127 ◽  
Author(s):  
Christian Milan ◽  
Carsten Bojesen ◽  
Mads Pagh Nielsen
Keyword(s):  
Optimization Model ◽  
Energy Supply ◽  
Cost Optimization ◽  
Residential Energy ◽  
Supply Systems ◽  
Energy Supply Systems

scholarly journals STUDY AND APPLY ACO ALGORITHM IN TIME-COST OPTIMIZATION OF CONSTRUCTION PROJECT

2010 ◽  
Vol 13 (1) ◽  
pp. 17-30
Author(s):  
Luan Hong Pham ◽  
Nhan Thanh Duong
Keyword(s):  
Cost Optimization ◽  
Construction Project ◽  
Heuristic Method ◽  
Ant Colony ◽  
Ant Colony System ◽  
Time Cost ◽  
Project Duration ◽  
Proposed Model ◽  
Feasible Solutions ◽  
Computational Resources

Time-cost optimization problem is one of the most important aspects of construction project management. In order to maximize the return, construction planners would strive to optimize the project duration and cost concurrently. Over the years, many researches have been conducted to model the time-cost relationships; the modeling techniques range from the heuristic method and mathematical approach to genetic algorithm. In this paper, an evolutionary-based optimization algorithm known as ant colony optimization (ACO) is applied to solve the multi-objective time-cost problem. By incorporating with the modified adaptive weight approach (MAWA), the proposed model will find out the most feasible solutions. The concept of the ACO-TCO model is developed by a computer program in the Visual Basic platforms. An example was analyzed to illustrate the capabilities of the proposed model and to compare against GA-based TCO model. The results indicate that ant colony system approach is able to generate better solutions without making the most of computational resources which can provide a useful means to support construction planners and managers in efficiently making better time-cost decisions.

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