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Analysis of project scheduling strategies in a client‐contractor environment
Author(s) -
Levy Joshua B.,
Tayi Giri Kumar
Publication year - 1989
Publication title -
naval research logistics (nrl)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.665
H-Index - 68
eISSN - 1520-6750
pISSN - 0894-069X
DOI - 10.1002/1520-6750(198902)36:1<69::aid-nav3220360106>3.0.co;2-e
Subject(s) - computer science , scope (computer science) , scheduling (production processes) , operations research , minification , project management , monotonic function , project planning , operations management , systems engineering , mathematics , economics , engineering , mathematical analysis , programming language
In this article we consider a cost‐minimization model to investigate scheduling strategies for multistaged projects in a client‐contractor environment. This type of environment is symptomatic of temporal changes in project definition and scope. At prespecified epochs the client conducts an external evaluation of the project and either accepts or rejects the contractor's current work. The resulting uncertainty from the client's review is modeled via monotonically varying acceptance probabilities. The model is designed primarily to address the interaction between earliest‐, intermediate‐, and latest‐start options and project‐crashing stragies for a broad range of penalty costs. Theoretical results are introduced, while numerical examples for both exponentially and polynomially based acceptance probabilities are discussed.