A heuristic method for consumable resource allocation in multi-class dynamic PERT networks

Yaghoubi, Saeed; Noori, Siamak; Mazdeh, Mohammad Mahdavi

doi:10.1186/2251-712x-9-17

Cited by 7 publications

(5 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[ 1,24–26 ] The advancement in Neodymium (NdFeB) magnets (1984) contributed significantly to the expansion of electricity‐free, portable MagLev platforms in density measurement. [ 1,27,28 ] The potency of MagLev techniques has led to the introduction of this method into heart valves, [ 29 ] fans, [ 30 ] and density measurement in recent years. [ 31–34 ]…”

Section: Introductionmentioning

confidence: 99%

Biomedical Applications of Magnetic Levitation

Dabbagh

Alseed

Saadat

et al. 2021

Advanced NanoBiomed Research

View full text Add to dashboard Cite

Magnetic levitation (MagLev) is a user‐friendly, electricity‐free, accurate, affordable, and label‐free platform for chemical and biological applications owing to its ability to suspend and separate a wide range of diamagnetic materials (e.g., plastics, polymers, cells, and proteins) based on their density. Various MagLev designs (e.g., standard, single and double ring, titled, and rotational MagLev setups) are presented in the literature with a trade‐off between sensitivity and detection range. Herein, various MagLev designs, the advantages and pitfalls of each method, and current challenges encountered by MagLev platforms are reviewed. Moreover, end applications of MagLev are presented in single‐cell and protein analysis, diseases diagnosis (e.g., cancer and hepatitis C), tissue engineering, 3D self‐assembly, and forensic case studies to provide an insight regarding the potentials of MagLev.

show abstract

Section: Introductionmentioning

confidence: 99%

Biomedical Applications of Magnetic Levitation

Dabbagh

Alseed

Saadat

et al. 2021

Advanced NanoBiomed Research

View full text Add to dashboard Cite

show abstract

“…Although RCPSP is a powerful model, it cannot cover all cases and conditions of real situations. Therefore, many researchers have developed more generalized scheduling problems, most of which use RCPSP as the start point (Yaghoubi et al 2013). During recent years, a new version of RCPSP has been introduced to the literature, which includes the simultaneous solving of two scheduling and human resource allocation problems.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Modeling and solving multi-skilled resource-constrained project scheduling problem with calendars in fuzzy condition

Ahmadpour

Ghezavati

2019

J Ind Eng Int

View full text Add to dashboard Cite

In this study, we aim to present a new model for the resource-constrained project scheduling problem (RCPSP) considering a working calendar for project members and determined the skill factor of any member using the efficiency concept. For this purpose, the recyclable resources are staff resources where any person with multiple skills can meet the required skills of activities in a given time. Then, considering uncertainty condition for parameters, it provided a fuzzy scheduling model and validated models by solving different examples. The proposed mathematical programming model optimizes the allocation of limited resources to project activities for scheduling purposes in an essential activity in the real condition of scheduling problems. Moreover, the proposed model can decrease the risk of deviation from scheduling by allocating members with higher skill factors to critical activities. Then, considering uncertainty condition for parameters, it provided a fuzzy scheduling model and validated models by solving different examples. Considering fuzzy conditions for the calendar of the project and multi-skill operators are firstly considered in this paper. Also, the recyclable resources are staff resources which are being considered for the model concurrently in response to the risks of availability to resources and delay in completing the project under uncertainty. The results derived from the model solved by CPLEX indicated a decreased need for employment and shortened project completion duration. Assuming the uncertainty of available resource capacity at any time, the results obtained from the fuzzy model for the value of objective function were evaluated under the influence of the resource calendar and showed the benefits. Effect of the multi-skill members with calendar constraints on the model is tested, and the advantages are determined.

show abstract

“…Hashemin and Fatemi Ghomi (2012) developed a mathematical model for the resource allocation in stochastic networks using multi-objective decision making algorithm. A heuristic method for consumable resource allocation in multi-class dynamic PERT networks was considered by Yaghoubi et al (2013). presented an ANN model for multi channel infinite buffer queue under N-policy.…”

Section: Introductionmentioning

confidence: 99%

Adaptive call admission control and resource allocation in multi server wireless/cellular network

Jain

Mittal²

2015

J Ind Eng Int

View full text Add to dashboard Cite

The ever increasing demand of the subscribers has put pressure on the capacity of wireless networks around the world. To utilize the scare resources, in the present paper we propose an optimal allocation scheme for an integrated wireless/cellular model with handoff priority and handoff guarantee services. The suggested algorithm optimally allocates the resources in each cell and dynamically adjust threshold to control the admission. To give the priority to handoff calls over the new calls, the provision of guard channels and subrating scheme is taken into consideration. The handoff voice call may balk and renege from the system while waiting in the buffer. An iterative algorithm is implemented to generate the arrival rate of the handoff calls in each cell. Various performance indices are established in term of steady state probabilities. The sensitivity analysis has also been carried out to examine the tractability of algorithms and to explore the effects of system descriptors on the performance indices.

show abstract

A heuristic method for consumable resource allocation in multi-class dynamic PERT networks

Cited by 7 publications

References 31 publications

Biomedical Applications of Magnetic Levitation

Biomedical Applications of Magnetic Levitation

Modeling and solving multi-skilled resource-constrained project scheduling problem with calendars in fuzzy condition

Adaptive call admission control and resource allocation in multi server wireless/cellular network

Contact Info

Product

Resources

About