Abstracts – Browse Results
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Akcamete, A (2011) A formal approach for managing facility change information and capturing change history as part of building information models (BIMs), Unpublished PhD Thesis, , Carnegie Mellon University.
Al-Dughaither, K A (1996) International construction financing strategies: Influential factors and decision-making, Unpublished PhD Thesis, , Carnegie Mellon University.
Amekudzi, A (1999) Uncertainty analysis of national highway performance measures in the context of evolving analysis models and data, Unpublished PhD Thesis, , Carnegie Mellon University.
Atasoy, G (2013) Visualizing and interacting with construction project performance information, Unpublished PhD Thesis, , Carnegie Mellon University.
Bello, M A (2012) Minimizing impediments to design for construction safety (DFCS) implementation on capital projects, Unpublished PhD Thesis, , Carnegie Mellon University.
Ben-Alon, L (2020) Natural buildings: Integrating earthen building materials and methods into mainstream construction, Unpublished PhD Thesis, , Carnegie Mellon University.
Coffelt, D P, Jr. (2008) Roof management improvement: Improving infrastructure management decision making through a consideration of total life cycle cost and deterioration, Unpublished PhD Thesis, , Carnegie Mellon University.
Dayanand, N (1996) Scheduling payments in projects: An optimization framework, Unpublished PhD Thesis, , Carnegie Mellon University.
- Type: Thesis
- Keywords: duration; cash flows; contractual relations; negotiation; payment; scheduling; variations; client; heuristic
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/304276234
- Abstract:
In many project environments, contractors customarily receive payments when parts of the project are completed. However, payments to the contractor are expenses for the client, and the two parties involved in the contractual relationship have conflicting financial objectives. This dissertation examines the payment scheduling problem from multiple perspectives. The objectives of this thesis are as follows: (1) Develop models of the payment scheduling problem that consider some commonly observed practices with regard to the management of cash flows in projects; (2) Identify significant features of payment schedules that meet the contractor's objective (maximizing profit), and the client's objective (minimizing costs); (3) Design heuristic procedures that can provide payment schedules of good quality with reduced computational effort; (4) Investigate the impact of project characteristics (such as network structure, activity durations, the profile of expenses and profit margin) and payment schedule parameters (such as the number of payments, frequency of payment, the criterion by which the amount of each payment is determined) on the contractor's and client's optimal and heuristic payment schedules; (5) Incorporate bargaining and negotiation factors to develop models of the payment scheduling problem which result in payment schedules that are mutually agreeable to both the contractor and the client; (6) Examine the sensitivity of joint models and solutions to factors such as relative bargaining power and variations in cost of capital, in addition to other project and payment parameters such as network characteristics, number or payments and profit margin. Based on features of optimal schedules observed by solving the payment scheduling problem on networks of small size, I design several simple common-sense heuristics based primarily on the number of payments and project duration for the contractor's payment scheduling problem. The test results suggest that, on the average, it is best for the contractor to schedule payments each time expenses exceed a certain percentage (determined by the number of payments) of the total expenses on the project. Chapter 5 considers the payment scheduling problem from the client's point of view. This study of optimal schedules is a two part analysis. The first part examines features that follow from theoretical properties of the models. The second part reports the characteristics of payment schedules as observed from optimal solutions to 10 sample projects. The client obtains the greatest benefit from payment schedules that have no restriction on the time of payment. Although making payments at regular time intervals is a popular practice, such schedules increase the client's expenses, and may also delay the project beyond early completion time. The analysis suggest that there is great variation in NPV between the contractor's and client's preferred schedules. This suggests that a joint perspective that satisfies the requirements of both parties, is a practical approach to the management of cash flows in projects.
Ergen, E (2005) Formalization of life-cycle data management of engineered-to-order components using advanced tracking technologies, Unpublished PhD Thesis, , Carnegie Mellon University.
Gordon, C (2006) A formalism and a framework for planning of sensor-based construction inspections, Unpublished PhD Thesis, , Carnegie Mellon University.
He, R (2023) Modeling of sustainable materials management systems: Hybrid science-based, data-driven approaches, Unpublished PhD Thesis, , Carnegie Mellon University.
Herabat, P (1997) A functional specification for a decision support system to select bridge analysis tools, Unpublished PhD Thesis, , Carnegie Mellon University.
Kiliccote, H (1997) A standards processing framework, Unpublished PhD Thesis, , Carnegie Mellon University.
Kiziltas, S (2008) An automated approach for developing integrated model-based construction project histories to support estimation of activity production rates, Unpublished PhD Thesis, , Carnegie Mellon University.
Lee, K J (2013) A formal and ontological approach to embed commissioning test protocol into building information model, Unpublished PhD Thesis, , Carnegie Mellon University.
Lee, S H (2009) Computational fieldwork support for efficient operation and maintenance of mechanical, electrical and plumbing systems, Unpublished PhD Thesis, , Carnegie Mellon University.
Ochoa Franco, L A (2004) Life cycle assessment of residential buildings, Unpublished PhD Thesis, , Carnegie Mellon University.
Pradhan, A R (2009) An approach for fusing data from multiple sources to support construction productivity analyses, Unpublished PhD Thesis, , Carnegie Mellon University.
Reich, Y (1991) Building and improving design systems: A machine learning approach, Unpublished PhD Thesis, , Carnegie Mellon University.
Reinhardt, J (2003) Navigational models for effective and efficient interaction with integrated product and process models on construction sites, Unpublished PhD Thesis, , Carnegie Mellon University.
Resendiz-Carrillo, D (1990) Risk-based framework for the selection of socially optimal dam safety goals, Unpublished PhD Thesis, , Carnegie Mellon University.
Rivard, H (1997) A building design representation for conceptual design and case-based reasoning, Unpublished PhD Thesis, , Carnegie Mellon University.
Sharrard, A L (2007) Greening construction processes using an input-output-based hybrid life cycle assessment method, Unpublished PhD Thesis, , Carnegie Mellon University.