Methodology for crew-job allocation optimization in project and workface scheduling

Ming Fung Siu, Ming Lu, Simaan Abourizk

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)


Existing resource scheduling methodologies are insufficient for controlling workflows for individual craft persons in project and workface planning. In practice, the workflow of an individual resource is assigned by a project manager in consideration of the resource supply and resource demand for particular time periods of the project duration. This research study proposes a crew-job allocation methodology to facilitate scheduling and resource management at both project and workface levels. We propose the use of a mathematical model to formulate and solve for the identified problem factoring in resource-time tradeoff options on individual activities. Then a crew-job interaction table is instrumental in visualizing the optimum resource-loaded schedule, which features the shortest project duration and the leanest resource supply under time-dependent resource constraints. Case studies are given to illustrate application of the proposed methodology. This technique potentially provides analytical decision support for not only making cost-effective resource-loaded schedules, but also facilitating the controllability of schedule execution.
Original languageEnglish
Title of host publicationCongress on Computing in Civil Engineering, Proceedings
PublisherAmerican Society of Civil Engineers (ASCE)
Number of pages8
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Event2015 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2015 - University of Texas at Austin, Austin, United States
Duration: 21 Jun 201523 Jun 2015


Conference2015 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2015
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications


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