- Resource leveling

2016 ◽  
pp. 358-383
Keyword(s):  
2011 ◽  
Author(s):  
Hsiang-Hsi Huang ◽  
◽  
Jia-Chen Shiu ◽  
Tai-Lin Chen ◽  
◽  
...  

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Qingyou Yan ◽  
Qian Zhang ◽  
Xin Zou

The study of traditional resource leveling problem aims at minimizing the resource usage fluctuations and obtaining sustainable resource supplement, which is accomplished by adjusting noncritical activities within their start and finish time. However, there exist limitations in terms of the traditional resource leveling problem based on the fixed project duration. This paper assumes that the duration can be changed in a certain range and then analyzes the relationship between the scarce resource usage fluctuations and project cost. This paper proposes an optimization model for the multiresource leveling problem. We take into consideration five kinds of cost: the extra hire cost when the resource demand is greater than the resource available amount, the idle cost of resource when the resource available amount is greater than the resource demand, the indirect cost related to the duration, the liquidated damages when the project duration is extended, and the incentive fee when the project duration is reduced. The optimal objective of this model is to minimize the sum of the aforementioned five kinds of cost. Finally, a case study is examined to highlight the characteristic of the proposed model at the end of this paper.


2013 ◽  
pp. 1406-1426
Author(s):  
Constanta Nicoleta Bodea ◽  
Corneliu Alexandru Bodea ◽  
Augustin Purnus ◽  
Ruxandra-Ileana Badea

In recent years, many business education programs have focused on the development of competences, instead of knowledge transfer. For this reason, various innovative training approaches were adopted, including educational simulations. The increasing availability of the simulation resources also contributes to the proliferation of simulation in business education curricula. The chapter presents how the simulations were introduced in a Master degree program on Project Management, in project planning and controlling module. The Master program has a blended-learning approach, which nicely fits to the simulation requirements. The simulations are based on an agent-based model of the project resource leveling process, part of the project planning and scheduling topic. The authors made several evaluations of the students’ results before and after the simulations. The main conclusion of the experiment is that the educational simulations improve the competence development process, only if they are properly designed and performed.


2018 ◽  
Vol 7 (3.10) ◽  
pp. 23
Author(s):  
T Subramani ◽  
T M.Karthick

This construction project study about excessive stake endeavor aiming at time certain programmed performance goal. Except combine resources are deliberate and procured, no activity may be completed in line with a pre fixed time table. Project managers ought to take complicated choices under exceptional scheduling desires and below situations of uncertainty that every so often expand past assignment intervals. Our project study  offers with useful resource scheduling for a quick track project with constrained intervals. The learning has been executed in stages. Inside the first segment, with the useful resource of MS PROJECT software task time table for numerous activities for the development of a business constructing become prepared. Finally, requirements of sources had been attributed to the activities primarily depend on Standard Schedule Rates. The considered necessary necessity information collected from the designated drawings and triumphing site online situations. The analysis was completed with the aid of useful resource leveling for diverse activities by way of reducing resources with accelerated length to observe the time-cost implications.


2019 ◽  
Vol 162 ◽  
pp. 696-703
Author(s):  
Gu Xiaoyan ◽  
Jia Zirui ◽  
Yang Yingying ◽  
Wu Dengsheng ◽  
Li JianPing

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 176997-177020
Author(s):  
Ziteng Wang ◽  
Zhiyuan Hu ◽  
Yuanjie Tang

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