Multi-project scheduling with 2-stage decomposition

Can, Anıl and Ulusoy, Gündüz (2010) Multi-project scheduling with 2-stage decomposition. [Working Paper / Technical Report] Sabanci University ID:SU_FENS_2011/0010

[thumbnail of Anil_Can_Gunduz_Ulusoy_2-Stage_Decomposition_Revised_2012.pdf] PDF
Anil_Can_Gunduz_Ulusoy_2-Stage_Decomposition_Revised_2012.pdf

Download (695kB)

Abstract

A non-preemptive, zero time lag multi-project scheduling problem with multiple modes and limited renewable and nonrenewable resources is considered. A 2-stage decomposition approach is adopted to formulate the problem as a hierarchy of 0-1 mathematical programming models. At stage one, each project is reduced to a macro-activity with macro-modes resulting in a single project network where the objective is the maximization of the net present value and the cash flows are positive. For setting the time horizon three different methods are developed and tested. A genetic algorithm approach is designed for this problem, which is also employed to generate a starting solution for the exact solution procedure. Using the starting times and the resource profiles obtained in stage one each project is scheduled at stage two for minimum makespan. The result of the first stage is subjected to a post-processing procedure to distribute the remaining resource capacities. Three new test problem sets are generated with 81, 84 and 27 problems each and three different configurations of solution procedures are tested.
Item Type: Working Paper / Technical Report
Uncontrolled Keywords: Multiple projects, multiple modes, scheduling, decomposition, genetic algorithms
Subjects: T Technology > TS Manufactures > TS0155-194 Production management. Operations management
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Manufacturing Systems Eng.
Faculty of Engineering and Natural Sciences
Depositing User: Gündüz Ulusoy
Date Deposited: 23 Sep 2011 14:59
Last Modified: 26 Apr 2022 10:49
URI: https://research.sabanciuniv.edu/id/eprint/16945

Actions (login required)

View Item
View Item