Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Managing Projects with Stochastic Durations

Glowacka, Karolina J. (2008) Managing Projects with Stochastic Durations. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

Primary Text

Download (4MB) | Preview


This research addresses analyzing and responding to uncertainty in projects with stochastic task durations. First we examine the effect of contractor flexibility (or agility) on project completion times. We find that this impact can be significant depending on the size and the structure of the project network.Next we study a stochastic time-cost trade-off problem with penalties for exceeding a project deadline. In considering this problem, we take a contingency approach to decision making where crashing decisions are made dynamically throughout project execution. For serial projects we develop a dynamic programming algorithm as well as a variety of heuristic methods. Extending and modifying these methods for general projects allows us to deal with more complex network structures. Specifically, we propose hybrid dynamic programming/linear programming algorithms and simulation-based algorithms. We perform computational studies to assess the performance of each method and to compare the contingency approach with a static approach (where all crashing decisions are made before the project start time). Finally, we study the case with penalties, incentives, and overhead costs. We find that when the project cost function is not convex, the dynamic programming solution may become non-monotonic, which requires further modification of the methods. We show that the performance of our algorithms does not deteriorate with inclusion of additional parameters. In fact, the gaps between the case with perfect information and the methods presented herein seem to be smaller than in the penalty only case.


Social Networking:
Share |


Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Glowacka, Karolina
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairWendell, Richard Ewendell@katz.pitt.eduWENDELL
Committee MemberHegde, G Ghegde@pitt.eduHEGDE
Committee MemberShang, Jennifershang@katz.pitt.eduSHANG
Committee MemberMirchandani, Prakashpmirchan@katz.pitt.eduPMIRCHAN
Committee MemberLowe,
Date: 30 June 2008
Date Type: Completion
Defense Date: 6 May 2008
Approval Date: 30 June 2008
Submission Date: 12 May 2008
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Institution: University of Pittsburgh
Schools and Programs: Joseph M. Katz Graduate School of Business > Business Administration
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: contingency planning; crashing; project management; risk management
Other ID:, etd-05122008-105456
Date Deposited: 10 Nov 2011 19:44
Last Modified: 15 Nov 2016 13:43


Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item