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Process parameter prediction via markov modelsof sub-activities

Published online by Cambridge University Press:  21 March 2014

Lino G. Marujo  and
Raad Y. Qassim
Lino G. Marujo
Affiliation:
Department of Industrial Engineering, POLI, Federal University of Rio de Janeiro, CP 64548, 21941-972 Rio de Janeiro, Brazil.. lgmarujo@ufrj.br
Raad Y. Qassim
Affiliation:
Department of Ocean Engineering, COPPE, Federal University of Rio de Janeiro, CP 68508, 21941-972 Rio de Janeiro, Brazil
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Abstract

This work aims to fill a lacunae in the project-oriented production systems literatureproviding a formal analytic description of the rework effects formulae and thedetermination of the extended design time due to a certain degree of overlapping in a pairof activities. It is made through the utilization of concepts of workflow constructionwith hidden (semi) Markov models theory and establishing a way to disaggregate activitiesinto sub-activities, in order to determine the activity parameters used by the projectscheduling techniques. With the aim to make a correlation between the entropy of the statetransitions and the probability of changes, the information theory is also used, and theconcept of impact caused by the probability of changes is provided. Numerical examples areshown for the purpose to demonstrate the applicability of the concepts developed, and oneexample of overlapping of two activities is shown. The original contributions of this workare shown on the last section.

Keywords

Activity parameterssub-activities Markov modelentropyproject scheduling parametersrework estimation

Information

Type
Research Article
Information
RAIRO - Operations Research , Volume 48 , Issue 3 , July 2014 , pp. 303 - 324
Copyright
© EDP Sciences, ROADEF, SMAI, 2014

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