Time–cost–quality trade-off analysis for planning construction projects

Wang, T; Abdallah, M; Clevenger, C and Monghasemi, S (2021) Time–cost–quality trade-off analysis for planning construction projects. Engineering, Construction and Architectural Management, 28(1), pp. 82-100. ISSN 0969-9988

Abstract

Purpose: Achieving project objectives in constructionprojects such as time, cost and quality is a challenging task. Minimizing project cost often results in additional project duration and might jeopardize quality, and minimizing project duration often results in additional cost and might jeopardize quality. Also, increasing construction quality often results in additional cost and time. The purpose of this paper is to identify and analyze trade-offs among the project objectives of time, cost and quality. Design/methodology/approach: The optimization model adopted a quantitative research method and is developed in two main steps formulation step that focuses on identifying model decision variables and formulating objective functions, and implementation step that executes the model computations using multi-objective optimization of Non-Dominated Sorting Genetic Algorithms to identify the aforementioned trade-offs, and codes the model using python. The model performance is verified and tested using a case study of construction project consisting of 20 activities. Findings: The model was able to show practical and needed value for construction managers by identifying various trade-off solutions between the project objectives of time, cost and quality. For example, the model was able to identify the shortest project duration at 84 days while keeping cost under $440,000 and quality higher than 85 percent. However, with an additional budget of $20,000 (4.5 percent increase), the quality can be increased to 0.935 (8.5 percent improvement). Research limitations/implications: The present research work is limited to project objectives of time, cost and quality. Future expansion of the model will focus on additional project objectives such as safety and sustainability. Furthermore, new optimization models can be developed for construction projects with repetitive nature such as roads, tunnels and high rise buildings. Practical implications: The present model advances existing research in planning construction projects efficiently and achieving important project objectives. On the practical side, the optimization model will support the construction industry by allowing construction managers to identify the highest quality to deliver a construction project within specified budget and duration, lowest cost for specified duration and quality or shortest duration for specified budget and quality. Originality/value: The present model introduces new and innovative method of increasing working hours per day and number of working days per shift while analyzing labor working efficiency and overtime rate to identify optimal trade-offs among important project objectives of time, cost and quality.

Item Type: Article
Uncontrolled Keywords: construction; construction planning; optimization; scheduling
Index terms: construction project, working hours, methodology, computation, construction manager, high-rise building, construction quality, tunnel, genetic algorithm, scheduling, project cost, multi-objective optimization, construction industry, duration, implementation, construction planning, efficiency, case study, quantitative research, lowest cost
Subjects: operations research, bidding, data analysis and analytics, contractual arrangements, construction planning, data collection methods, profession, construction type, computational methods, project controls, infrastructure and transport systems, industry analysis, quality assurance, research methods, algorithms, performance management, economics, employment law, production management
Topics: Construction Technology, Procurement, Roles and Professions, Engineering Principles, Research Practice, Project Management, Cost Management, Time Control, Site Management, Quality Management, Digital Applications, Legal Issues
Descriptive scope: 5 PCTEA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here