MULTI-OBJECTIVE STRATEGY FOR OPTIMIZING REPETITIVE CONSTRUCTION PROJECTS USING LINEAR PROGRAMMING MODELS

Authors

Sherif M. HafezFollow
Enas S. Morgan
Mohamed A. Hamad

Abstract

Decision making has become much more complicated than in the past due to increased decision alternatives, uncertainty, and cost of making errors. As a result, it is very difficult to rely on a trial and error approach in decision making. Nowadays business managers are dealing with different types of projects ranging from implementing a large scale manufacturing plant to a simple sales campaign. While dealing with projects, to become competitive, sometimes it is required to complete a project within the predetermined deadline to keep cost at lowest possible level. Failure to do so ultimately leads to increase in total cost. This would direct managers to encounter a decision situation: which activities of the project will be crashed to minimize the total cost of crashing project. In this paper, we provide a hypothetical example to clarify the framework of how to convert from LOB to CPM and then how to create a model to crash a project time to reach an optimum time-cost solution. Microsoft Excel custom made sheets used to the conversion, also Solver add-in used to solve the model while it implements Linear Programming. As a check, results from Solver and LiPS software are compared.

Recommended Citation

Hafez, Sherif M.; Morgan, Enas S.; and Hamad, Mohamed A. (2015) "MULTI-OBJECTIVE STRATEGY FOR OPTIMIZING REPETITIVE CONSTRUCTION PROJECTS USING LINEAR PROGRAMMING MODELS," Journal of Engineering Research: Vol. 1: Iss. 1, Article 1.
Available at: https://digitalcommons.aaru.edu.jo/erjeng/vol1/iss1/1