Robust Optimization Method based on Hybridization of GA and MMEDA for Resource Constraint Project Scheduling with Uncertainty

2017 ◽  
Vol 137 (7) ◽  
pp. 957-966 ◽  
Author(s):  
Jing Tian ◽  
Xinchang Hao ◽  
Tomohiro Murata
Keyword(s):  
Robust Optimization ◽  
Project Scheduling ◽  
Optimization Method ◽  
Resource Constraint

Study on a Robust Optimization Model for Project Scheduling Policies

2011 ◽  
Vol 110-116 ◽  
pp. 2866-2871
Author(s):  
Yu Zhang ◽  
Teng Fei Yin
Keyword(s):  
Genetic Algorithm ◽  
Robust Optimization ◽  
Objective Function ◽  
Project Scheduling ◽  
Optimization Model ◽  
Optimal Schedule ◽  
Optimization Method ◽  
Construction Process ◽  
Scheduling Policies ◽  
Project Environment

The genetic algorithm discussed in this paper for project scheduling solution to this problem can be obtained the near optimal schedule programs. This has established the objective function and constraints that have a certain scope; it requires the duration of each process that is determined in advance for enterprises. If the project is more familiar with the history with more experience, and more complete database, the project environment can be controlled well. It can accurately determine the time with the construction plan, construction process and the optimization method with the good trial.

scholarly journals Project Scheduling Management in the Software Industry

2021 ◽  
Vol 12 (3) ◽  
pp. 2136-2145
Author(s):  
Rozi Nor Haizan Nor Et.al
Keyword(s):  
Project Scheduling ◽  
Project Planning ◽  
Resource Constraint ◽  
Project Schedule ◽  
Managing Change ◽  
Project Scheduling Problem ◽  
Common Problems ◽  
The Impact ◽  
Scheduling Management ◽  
Project Delay

Project scheduling is the next step once project planning is completed. This requires knowledge and the depth of the activities, the dependencies between activities and, duration of the activities. Creating and designing a realistic project schedule is the biggest challenges a project manager faces. There are some common problems that can be impact towards project delay or performance: Assigning Resource or Resource Constraint, Managing the Unknown or Managing Change and Estimating Task Duration. These 3 factors and causes are contributing to project scheduling problem. The impact of resource constraint causes towards be impact towards project delay or performance.  To achieve this goal, the survey has been conducted. Finally, the results of the surveys are presented in order to see which commons problems are the most happening and really effected project scheduling.

A Robust Optimization Method for Systems With Significant Nonlinear Effects

1993 ◽  
Author(s):  
Jyh-Cheng Yu ◽  
Kosuke Ishii
Keyword(s):  
Heat Treatment ◽  
Robust Optimization ◽  
Nonlinear Effects ◽  
Optimization Method ◽  
Post Heat Treatment ◽  
Worst Case ◽  
Estimation Scheme ◽  
Optimization Methodology ◽  
Major Factors ◽  
The Cost

Abstract This paper describes a robust optimization methodology for design involving either complex simulations or actual experiments. The proposed procedure optimizes the worst case response that consists of a weighted sum of expected mean and response variance. The estimation scheme for expected mean and variance adopts the modified 3-point Gauss quadrature integration to assure superior accuracy for systems with significant nonlinear effects. We apply the proposed method to the robust design of geometric parameters of heat treated parts to minimize the cost of post heat treatment operations. The paper investigates the major factors influencing geometric distortions due to heat treatment and the rules of thumb in design. The study focuses on relating dimensional distortion to the design of part geometry. To illustrate the utility of the proposed method, we present the formulation of a case study on allocation of dimensions of preheat treated (green) shafts to minimize the cost of post heat treatment operations. The final result is not presented yet pending the completion of further experiments.

A Robust Optimization Method on the Transmission System of the Cutting Unit of Shearer

2020 ◽  
Author(s):  
Hongbin Gao ◽  
Junjun Chen
Keyword(s):  
Robust Optimization ◽  
Design Method ◽  
Harmonic Balance Method ◽  
Optimization Method ◽  
Transmission System ◽  
Manufacturing Cost ◽  
Internal Excitation ◽  
Tooth Width ◽  
Solution Methods ◽  
Cutting Unit

Abstract The transmission system of the cutting unit of shearer is divided into three basic components: planetary reduction form, one gear on one shaft form and a double gears on one shaft. The dynamic differential equations of three basic components are established respectively, and the volume functions of each structure are obtained. The characteristics of the internal excitation of the transmission system are analyzed, and the solution methods of the motion parameters of each component are obtained based on the harmonic balance method. Taking the parameters such as tooth number, modulus and tooth width as optimized variables, and a robust optimization method with the minimum value of multi-parameter evaluation function weighted linearly by dimensionless volume and vibration for the transmission system of the cutting unit of shearer is presented. Taking a certain type of shearer as an example, the transmission system of the cutting unit is optimized by using the presented method. After the design, the size is reduced by 5.4%, the maximum torsional acceleration of the drum is reduced by 17.8%, and the maximum torsional acceleration of the first gear is reduced by 9.6%. The results show that the design method can reduce the manufacturing cost of shearer and reduce the failure rate of the cutting unit.

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