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Arora, R (1997) Role and influence of emerging social dynamics in decisions on investment opportunities in construction industry, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Bhattacharya, S (2011) Enablers of growth for construction companies in India: a strategic approach, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Chaphalkar, N B (2007) Expert system for resolution of delay claims in construction contracts, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Deshpande, S D (1988) Some facility planning techniques for construction site layouts, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Jayesh, M P (2020) Inter-state migration for employment in India: a study on construction workers in Kerala, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Jha, K N (2004) Factors for the success of a construction project: empirical study, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Johari, S (2021) Effect of socioemotional cognitive, and technical competencies of workers on construction labor productivity, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Kar, S (2021) Developing a decision support system for effective material management in construction, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Karimi, Z (2016) Construction project performance metrics: conceptualization, measurement and application in metro rail, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Kuldip, C (1989) OR applications in strategic sector constructions with capital budgeting, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Kulshrestha, M (1997) Total Value Control in Construction through Multiple Criteria Decision Making (MCDM), Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Kumar, R (2020) Risk management framework for construction projects aligned to actualities, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Kumar, S V (2019) Identification and modelling of risk factors, mitigation measures, and entry strategies for Indian construction firms in international markets, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Kumar, V S S (1993) Application of fuzzy set theory in construction management, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Maddah, R (2019) An analysis of risks faced by foreign construction firms in India and their effect on project performance, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Mathur, R N (1986) Perception of quality of working life and the related factors: a study of women workers in construction industry, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Mujumdar, P (2017) Modeling design interdependency and iteration for multiple two-way information exchanges in construction projects, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Padala, S P S (2020) Matrix-based framework for modeling changes across multiple entity types in construction projects, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
- Type: Thesis
- Keywords: duration; residential; construction project; hospital; change management; construction planning; life cycle; productivity; safety; stakeholder; labour productivity; quantification; case study; interview; validation
- ISBN/ISSN:
- URL: http://eprint.iitd.ac.in/handle/2074/8597
- Abstract:
Changes are inevitable in a construction project, and they can occur for various reasons. Such changes can cause severe disruptions, however, and in particular they can impact a construction project’s time, costs, and other aspects such as labour productivity, safety, and working relationships. Change management in construction is an essential aspect of project management. A key challenge in change management is to identify changes and predict their impacts before their implementation so that the negative impacts of changes can be minimized. However, the large variety of entity types such as teams, components, deliverables, activities and parameters, as well as the complex interdependencies that exist among these entity types, makes it difficult to predict change impacts. Changes made to any type of entity are likely to propagate to others. It is necessary to be aware of not only individual change impacts but also complex change propagations and their impacts across entity types. Hence, the overall objective of the research is to develop a framework for modeling changes across multiple entity types in construction projects. The literature review reveals that existing methods lack a structured approach for early change identification and that these methods are limited to predicting changes and their impacts in single entity type only. Certain studies have recognized the need for multi-entity modeling; however, these studies are limited to the classification and generation of propagation paths, and they lack a quantitative approach to quantify change propagations. Further, the exploratory case study reveals that practitioners also find it difficult to predict change impacts because techniques and tools used for the design and construction planning of projects do not facilitate the quantification of change impacts across entity types prior to change implementation. Hence, there is a need for a modeling framework to manage changes proactively. The proposed change-prediction framework integrates two matrix-based modeling methods: axiomatic design (AD) and a multiple domain matrix (MDM). The framework consists of three major segments: 1) identification of changes, 2) the tracking of change propagations, and 3) estimation of change propagation impacts. Initially, relationships between functional requirements and design parameters must be modeled and analyzed using AD to finalize the entity types. When any change in functional requirement is initiated, changes in entity types can be identified in a structured manner. Next, the interrelationships of entity types must be modeled in the MDM to track change propagations. A quantitative approach is proposed to quantify changes in terms of time at parameter level in the MDM. Further, change impacts on other entity types are estimated semi-automatically from the revised durations of parameters in the MDM. An abductive-based case study research method has been adopted to develop the existing theory in change prediction research. The research method is divided into three parts: problem formulation, framework development, and validation. In Part 1, a literature review is conducted to identify research gaps. An exploratory case study was conducted across 19 different projects to investigate the existing practice and identify the root causes of changes. A semi-structured interview was conducted with 67 industry experts to understand the problems on managing changes in the entire construction project life cycle. The research problem is formulated by triangulating the findings of the literature review and the exploratory case study. In Part 2, a change prediction framework is developed based on a comprehensive set of requirements which are identified from the literature review and validated from industry experts. Further, case studies of eight different projects were conducted to explore selected matrix-based modeling methods: AD and the MDM. In Part 3, the proposed framework is validated using data from three ongoing construction projects – multi-story residential apartment, underground metro, and hospital building. The validation reveals that the proposed framework is quite useful in minimizing errors during the implementation of changes. Further, a roadmap for implementing the proposed framework is also presented. Overall, the proposed change prediction framework can aid design and construction stakeholders to identify, schedule and quantify changes proactively across multiple entity types in a construction project.
Pandey, P (2019) Lean scheduling in construction projects: realistic milestone planning, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Panwar, A (2019) Development of a many-objective model based on NSGA-III for construction projects, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Patel, D A (2015) Estimating the number of fatal accidents and investigating the determinants of safety performance in indian construction, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Patil, S K (2016) Determining influencing factors and predicting dispute outcome of variation claims in Indian construction contracts/ by Smita Krishnarao Patil, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Sharma, R (1998) Organizational role stress:focus on executives of construction industry, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Sinesilassie, E G (2017) Determinants of success of public construction projects in Ethiopia, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Sundaram, T K (1989) Contract management: a rational approach to construction contract pricing, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Tabish, S Z S (2011) Critical success factors and fair performance in public construction projects, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.
Tripathi, K K (2018) Critical success factors for construction organizations in India, Unpublished PhD Thesis, , Indian Institute of Technology Delhi.