NDLI: Multi-project scheduling problem with human resources based on dynamic programming and staff time coefficient

Content Provider	IEEE Xplore Digital Library
Author	Chen Jun-jie Zhu Jiang-li Zhang Ding-ning
Copyright Year	2014
Description	Author affiliation: Sch. of Manage., Northwestern Polytech. Univ., Xi'an, China (Chen Jun-jie; Zhu Jiang-li; Zhang Ding-ning)
Abstract	The effect of personnel qualified degree to tasks has an important role for solving multi-project human resource constrained scheduling problem. This paper conducts research on multi-mode multi-project human resource constrained scheduling problem based on dynamic programming method. First, this paper put forward the concept and estimated formula of the staff time coefficient from the perspective of how to match staff and task based on the improved cube model and establish the mixed integer programming model. There are some constrains which should be considered in the model, such as the task workload that should be completed, limited supplies, and others. And the target of the model is completing the project in the shortest period and with the lowest total cost under all of these constrained. Then use the enumeration method to give the problem feasible solution that satisfied the constraints and find the optimal solution based on the dynamic programming method. Finally demonstrate the feasibility and effectiveness of the model and algorithm using the example analysis method, the results show that this method can effectively shorten the total duration of the multi-project Compared to the initial schedule, and is helpful for decision-makers to solve the multi-mode human resource scheduling problem in enterprise.
Starting Page	1012
Ending Page	1018
File Size	428953
Page Count	7
File Format	PDF
ISBN	9781479953752
ISSN	21551855
e-ISBN	9781479953769
DOI	10.1109/ICMSE.2014.6930339
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-17
Publisher Place	Finland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	multi-mode multi-project management Materials dynamic programming Linear programming Dynamic scheduling Dynamic programming time coefficient Personnel Resource management Mathematical model human resource scheduling
Content Type	Text
Resource Type	Article

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