Scheduling Projects with Multiskill Learning Effect

We investigate the project scheduling problem with multiskill learning effect. A new model is proposed to deal with the problem, where both autonomous and induced learning are considered. In order to obtain the optimal solution, a genetic algorithm with specific encoding and decoding schemes is intr...

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Main Authors: Hong Zha, Lianying Zhang
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/731081
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author Hong Zha
Lianying Zhang
author_facet Hong Zha
Lianying Zhang
author_sort Hong Zha
collection DOAJ
description We investigate the project scheduling problem with multiskill learning effect. A new model is proposed to deal with the problem, where both autonomous and induced learning are considered. In order to obtain the optimal solution, a genetic algorithm with specific encoding and decoding schemes is introduced. A numerical example is used to illustrate the proposed model. The computational results show that the learning effect cannot be neglected in project scheduling. By means of determining the level of induced learning, the project manager can balance the project makespan with total cost.
format Article
id doaj-art-7ae08edeb28949b1b4b7c8552e79b183
institution OA Journals
issn 2356-6140
1537-744X
language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-7ae08edeb28949b1b4b7c8552e79b1832025-08-20T02:07:02ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/731081731081Scheduling Projects with Multiskill Learning EffectHong Zha0Lianying Zhang1College of Management and Economics, Tianjin University, No. 92 Weijin Road, Nankai District, Tianjin 300072, ChinaCollege of Management and Economics, Tianjin University, No. 92 Weijin Road, Nankai District, Tianjin 300072, ChinaWe investigate the project scheduling problem with multiskill learning effect. A new model is proposed to deal with the problem, where both autonomous and induced learning are considered. In order to obtain the optimal solution, a genetic algorithm with specific encoding and decoding schemes is introduced. A numerical example is used to illustrate the proposed model. The computational results show that the learning effect cannot be neglected in project scheduling. By means of determining the level of induced learning, the project manager can balance the project makespan with total cost.http://dx.doi.org/10.1155/2014/731081
spellingShingle Hong Zha
Lianying Zhang
Scheduling Projects with Multiskill Learning Effect
The Scientific World Journal
title Scheduling Projects with Multiskill Learning Effect
title_full Scheduling Projects with Multiskill Learning Effect
title_fullStr Scheduling Projects with Multiskill Learning Effect
title_full_unstemmed Scheduling Projects with Multiskill Learning Effect
title_short Scheduling Projects with Multiskill Learning Effect
title_sort scheduling projects with multiskill learning effect
url http://dx.doi.org/10.1155/2014/731081
work_keys_str_mv AT hongzha schedulingprojectswithmultiskilllearningeffect
AT lianyingzhang schedulingprojectswithmultiskilllearningeffect