scholarly journals A Simulation Based Proactive Approach for Smart Capacity Estimation in the Context of Dynamic Positions and Events

2020 ◽  
Vol 5 (6) ◽  
pp. 423-438
Author(s):  
Naeem Ahmed Haq Nawaz ◽  
Hamid Raza Malik ◽  
Ahmed Jaber Alshaor ◽  
Kamran Abid
Keyword(s):  
Capacity Estimation ◽  
Proactive Approach ◽  
Simulation Based

Integrated production planning and condition-based maintenance considering uncertain demand and random failures

2019 ◽  
Vol 234 (1-2) ◽  
pp. 310-323 ◽  
Author(s):  
Lin Wang ◽  
Zhiqiang Lu ◽  
Yifei Ren
Keyword(s):  
Production Planning ◽  
Stable Solution ◽  
Condition Based Maintenance ◽  
Maintenance Policy ◽  
Integration Model ◽  
Uncertain Environment ◽  
Proactive Approach ◽  
Simulation Based ◽  
Production Quantity ◽  
Population Genetic Algorithm

This article proposes a proactive approach for the integrated problem of production planning and condition-based maintenance under uncertain environment, that is, the exogenous uncertainty of demand and the endogenous uncertainty of failure. Considering that the production system has limited capacity and suffers degradation with usage, an integration model of production planning and condition-based maintenance policy is proposed, in which the maintenance threshold and production quantity are proactively decided simultaneously. The robust and stable solution of the complicated non-linear model is obtained by a simulation-based multi-population genetic algorithm. Numerical results not only show the impacts of different factors on the model, but also prove the superiority of the developed model and algorithm in uncertain environment.

Inquiry Learning

2009 ◽  
Vol 23 (2) ◽  
pp. 117-127 ◽  
Author(s):  
Astrid Wichmann ◽  
Detlev Leutner
Keyword(s):  
Scientific Reasoning ◽  
Inquiry Learning ◽  
Instructional Support ◽  
Test Results ◽  
Knowledge Test ◽  
Simulation Based ◽  
Scientific Experiments ◽  
Specific Support ◽  
Science Classes

Seventy-nine students from three science classes conducted simulation-based scientific experiments. They received one of three kinds of instructional support in order to encourage scientific reasoning during inquiry learning: (1) basic inquiry support, (2) advanced inquiry support including explanation prompts, or (3) advanced inquiry support including explanation prompts and regulation prompts. Knowledge test as well as application test results show that students with regulation prompts significantly outperformed students with explanation prompts (knowledge: d = 0.65; application: d = 0.80) and students with basic inquiry support only (knowledge: d = 0.57; application: d = 0.83). The results are in line with a theoretical focus on inquiry learning according to which students need specific support with respect to the regulation of scientific reasoning when developing explanations during experimentation activities.

Employing Human Role-Players in Simulation-Based Training For Asymmetric and Unconventional Warfare

2004 ◽  
Author(s):  
L. L. Kusumoto ◽  
◽  
R. M. Gehorsam ◽  
B. D. Comer ◽  
J. R. Grosse
Keyword(s):  
Unconventional Warfare ◽  
Simulation Based ◽  
Role Players
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