2012
DOI: 10.1155/2012/713740
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Simplifying Multiproject Scheduling Problem Based on Design Structure Matrix and Its Solution by an Improved aiNet Algorithm

Abstract: Managing multiple project is a complex task involving the unrelenting pressures of time and cost. Many studies have proposed various tools and techniques for single-project scheduling; however, the literature further considering multimode or multiproject issues occurring in the real world is rather scarce. In this paper, design structure matrix (DSM) and an improved artificial immune network algorithm (aiNet) are developed to solve a multi-mode resource-constrained scheduling problem. Firstly, the DSM is used … Show more

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Cited by 13 publications
(10 citation statements)
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“…The initial solution is important to the performance of SA as the quality of the final solution relies heavily on that of the initial solution [22,23]. The procedure of generating an initial solution is given below.…”
Section: Initial Solution Generationmentioning
confidence: 99%
See 1 more Smart Citation
“…The initial solution is important to the performance of SA as the quality of the final solution relies heavily on that of the initial solution [22,23]. The procedure of generating an initial solution is given below.…”
Section: Initial Solution Generationmentioning
confidence: 99%
“…In order to obtain the neighbourhood solution from the current solution, the standard SA neighbourhood structure that features various types of move in work [23] is adopted. The detailed procedure is given below.…”
Section: Neighbourhood Solution Generationmentioning
confidence: 99%
“…Compared with the variety of approaches like intelligence technologies [1][2][3] in IT relative field [4][5][6][7][8], the approaches forwarded are still limited for IT outsourcing risk assessment to date. These studies include a knowledge-based risk assessment framework for evaluating web-enabled application outsourcing projects [9], a framework for risk assessment of offshore IT outsourcing [10], risk assessment algorithm based on failure mode and effect analysis (FMEA) [11], or extended DEMATEL method [12].…”
Section: Literature Reviewmentioning
confidence: 99%
“…P H Chen et al proposed a hybrid of genetic algorithm and simulated annealing (GA-SA Hybrid) for generic multi-project scheduling problems with multiple resource constraints [17]. C Ju and T Chen developed an improved aiNet algorithm to solve a multimode resource-constrained scheduling problem [18]. T Gaertner et al presented a generic project scheduling technique for functional integration projects based on DSM, to improve the planning of delivery dates and required resources and capacities, to ensure tighter synchronization between project teams, and prioritize tasks in parallel projects [19].…”
Section: Introductionmentioning
confidence: 99%