A Linear Programming Optimization Model to Minimize Waste in Cutting Steel Rods for Table Manufacturing

2021 ◽  
Author(s):  
Mehmet Savsar
Keyword(s):  
Linear Programming ◽  
Optimization Model ◽  
Cutting Steel

scholarly journals Calculation of interval damping ratio under uncertain load in power system

2012 ◽  
Vol 60 (1) ◽  
pp. 151-158
Author(s):  
J. Xing ◽  
C. Chen ◽  
P. Wu
Keyword(s):  
Linear Programming ◽  
Power System ◽  
Optimization Model ◽  
Damping Ratio ◽  
Small Signal ◽  
Small Signal Stability ◽  
Signal Stability ◽  
Successive Linear Programming ◽  
Calculation Results ◽  
Lower Limits

Calculation of interval damping ratio under uncertain load in power system The problem of small-signal stability considering load uncertainty in power system is investigated. Firstly, this paper shows attempts to create a nonlinear optimization model for solving the upper and lower limits of the oscillation mode's damping ratio under an interval load. Then, the effective successive linear programming (SLP) method is proposed to solve this problem. By using this method, the interval damping ratio and corresponding load states at its interval limits are obtained. Calculation results can be used to evaluate the influence of load variation on a certain mode and give useful information for improvement. Finally, the proposed method is validated on two test systems.

Regional Power Planning Optimization Model and Scenario Analysis Considering the Environmental Cost

2013 ◽  
Vol 805-806 ◽  
pp. 1122-1128
Author(s):  
Zong Wu Wang ◽  
Guo He Huang ◽  
Xiao Kun Li
Keyword(s):  
Linear Programming ◽  
Scenario Analysis ◽  
Pollution Control ◽  
Optimization Model ◽  
Programming Model ◽  
Environmental Cost ◽  
Mixed Integer ◽  
Regional Power ◽  
Planning Optimization ◽  
Decision Alternatives

In this study, a regional power planning optimization model (RPPOM) is developed considering the environmental cost and the restriction of resource and environment, based on interval linear programming and mixed integer linear programming. Model is applied to a case study on the power planning in Henan province, and scenario analysis is conducted. Interval solutions associated with scenario of pollution control have been obtained. They can be used for generating decision alternatives and helping decision makers identify desired power policies for power planning to meet the growth in electricity demand considering the constraints of resources and environment with a minimized system cost. Scenario analysis of environmental pollution control at different levels can also be tackled.

A STOCHASTIC APPROACH TO HOTEL REVENUE MANAGEMENT CONSIDERING MULTIPLE-DAY STAYS

2006 ◽  
Vol 05 (03) ◽  
pp. 545-556 ◽  
Author(s):  
SHUQIN LIU ◽  
KIN KEUNG LAI ◽  
JICHANG DONG ◽  
SHOU-YANG WANG
Keyword(s):  
Linear Programming ◽  
Stochastic Optimization ◽  
Revenue Management ◽  
Decision Maker ◽  
Optimization Model ◽  
Programming Model ◽  
Stochastic Approach ◽  
Risk Of Falling ◽  
Absolute Deviation ◽  
Linearization Techniques

We present a stochastic optimization model for hotel revenue management with multiple-day stays under an uncertain environment. Since a decision maker may face several scenarios when renting out rooms, we use a semi-absolute deviation model to measure the risk of hotel revenue, and only consider the risk of falling below the expected revenue. The method proposed in this paper can be changed to a linear programming model by applying linearization techniques. Some examples are presented to illustrate the efficiency of this method.

scholarly journals PENENTUAN LOKASI TEMPAT EVAKUASI AKHIR PENGUNGSI PADA ANCAMAN BENCANA TSUNAMI KOTA PADANG

2018 ◽  
Vol 7 (2) ◽  
pp. 111
Author(s):  
Rafiqa Fijra
Keyword(s):  
Linear Programming ◽  
Indian Ocean ◽  
Potential Risk ◽  
Optimization Model ◽  
Programming Model ◽  
Capital City ◽  
Linear Programming Model ◽  
Low Area ◽  
The Indian Ocean

Padang is capital city of West Sumatera whose coastal layout and approximately 50% of population live in low area. It opposites to the Indian Ocean which near the Megathrust subduction which can trigger a powerful earthquake and generate tsunami. Because of the potential risk, important to finding the final evacuated region (TEA) location addressed by evacuee of each affected village, and defining the evacuee population and its susceptive population on each TEA. Defining the location TEA is provided by formulating the linear programming model which minimizing the total traveled distance. Then, defining of population and susceptive of evacuee in each TEA also analyzed to support the response disaster occurred. The optimization model is conducted in three level scenarios of tsunami scale, that are big, medium, and small .

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