PFACC: An OpenACC‐like programming model for irregular nested parallelism

2020 ◽  
Vol 50 (10) ◽  
pp. 1877-1904
Author(s):  
Ming Hsiang Huang ◽  
Wuu Yang
Keyword(s):  
Programming Model ◽  
Nested Parallelism

A Linear Programming Model for Product Mix Profit Maximization in A Small Medium Enterprise Company

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
S Mohd Baki ◽  
Jack Kie Cheng
Keyword(s):  
Linear Programming ◽  
Production Planning ◽  
Business Performance ◽  
Programming Model ◽  
Profit Maximization ◽  
Optimal Level ◽  
Linear Programming Model ◽  
Product Mix ◽  
Small Medium Enterprises ◽  
Medium Enterprises

Production planning is often challenging for small medium enterprises (SMEs) company. Most of the SMEs are having difficulty in determining the optimal level of the production output which can affect their business performance. Product mix optimization is one of the main key for production planning. Many company have used linear programming model in determining the optimal combination of various products that need to be produced in order to maximize profit. Thus, this study aims for profit maximization of a SME company in Malaysia by using linear programming model. The purposes of this study are to identify the current process in the production line and to formulate a linear programming model that would suggest a viable product mix to ensure optimum profitability for the company. ABC Sdn Bhd is selected as a case study company for product mix profit maximization study. Some conclusive observations have been drawn and recommendations have been suggested. This study will provide the company and other companies, particularly in Malaysia, an exposure of linear programming method in making decisions to determine the maximum profit for different product mix.

Power Generation for India with Higher Efficiency

2018 ◽  
Vol 6 (7) ◽  
pp. 267
Author(s):  
Umeshkannan P ◽  
Muthurajan KG
Keyword(s):  
Power Generation ◽  
Objective Function ◽  
Fossil Fuels ◽  
Programming Model ◽  
Developed Countries ◽  
Power Requirement ◽  
Average Efficiency ◽  
Potential Demand ◽  
The Developed Countries ◽  
Developed Nations

The developed countries are consuming more amount of energy in all forms including electricity continuously with advanced technologies.  Developing  nation’s  energy usage trend rises quickly but very less in comparison with their population and  their  method of generating power is not  seems  to  be  as  advanced  as  developed  nations. The   objective   function   of   this   linear   programming model is to maximize the average efficiency of power generation inIndia for 2020 by giving preference to energy efficient technologies. This model is subjected to various constraints like potential, demand, running cost and Hydrogen / Carbon ratio, isolated load, emission and already installed capacities. Tora package is used to solve this linear program. Coal,  Gas,  Hydro  and  Nuclear  sources can are  supply around 87 %  of  power  requirement .  It’s concluded that we can produce power  at  overall  efficiency  of  37%  while  meeting  a  huge demand  of  13,00,000  GWh  of  electricity.  The objective function shows the scenario of highaverage efficiency with presence of 9% renewables. Maximum value   is   restricted   by   low   renewable   source’s efficiencies, emission constraints on fossil fuels and cost restriction on some of efficient technologies. This    model    shows    that    maximum    18%    of    total requirement   can   be   met   by   renewable itself which reduces average efficiency to 35.8%.   Improving technologies  of  renewable  sources  and  necessary  capacity addition  to  them in  regular  interval  will  enhance  their  role and existence against fossil fuels in future. The work involves conceptualizing, modeling, gathering information for data’s to be used in model for problem solving and presenting different scenarios for same objective.

PENELITIAN ASPEK PERKOTAAN DUMAI DAN BITUNG DAN KEMUNGKINANNYA SEBAGAI LOKASI KAWASAN EKONOMI KHUSUS DI INDONESIA

2012 ◽  
Vol 11 (1) ◽  
Author(s):  
CB Herman Edyanto
Keyword(s):  
Programming Model ◽  
National Income ◽  
Special Economic Zone ◽  
Good Prospect ◽  
Economic Activities ◽  
Processing Industry ◽  
North Sulawesi ◽  
Job Opportunity ◽  
Economic Zone ◽  
The Government

Special Economic Zone has been introduced as a new approach in Indonesia for regional development purposes on the basic of economic activities concentration. Some countries have run such project as part of national income and thus opening new job opportunity for the local people. A concept for its development need to be established since it also affects to the government’s expenditure. This is a chance for the government to open mind in creating new investment from other countries to Indonesia. Two cities have been chosen as cases of study namely Bitung – north Sulawesi Province and Dumai – Riau Province. The first is known as fish processing industry city whereas the second one is known as CPO processing industry city. This study has proved that Dumai has a good prospect as a special economic zone based on the application of Powersim dynamic programming model for its analysis.

OPTIMAL ANALYSIS OF FARM AGRICULTURAL MACHINERY EQUIPMENT BASED ON MATHEMATICAL MODELLING

2020 ◽  
pp. 333-340
Keyword(s):  
Mathematical Modelling ◽  
Production Efficiency ◽  
Programming Model ◽  
Constraint Equation ◽  
Economic Benefits ◽  
Agricultural Machinery ◽  
Optimization Analysis ◽  
Agricultural Modernization ◽  
Actual Equipment ◽  
Optimal Allocations

With the development of science and technology, the degree of agricultural mechanization is getting higher and higher. Agricultural machinery is an important support for the development of agricultural modernization. Optimizing the allocation of agricultural machinery is conducive to improving agricultural production efficiency and economic benefits. In this paper, mathematical modelling method is mainly used in the analysis and optimization of agricultural machinery configuration. By determining the objective function and constraint equation, combined with the actual situation of Xinjiang Production and Construction Corps, the linear programming model and workload model of agricultural machinery and equipment optimization are established. Finally, the actual number of agricultural machinery and equipment and the number of optimal allocations of Xinjiang Production and Construction Corps farm were compared. The effectiveness of the optimization model is verified by comparing the optimized agricultural machinery equipment with the actual equipment. The results show that the optimized equipment model has good optimization effect. On the basis of reducing the number of agricultural machinery and equipment, the matching rate of agricultural machinery is improved, and the operation cost of agricultural machinery is effectively reduced. It is hoped that this study can provide certain reference and reference for the optimization analysis of agricultural machinery and equipment based on mathematical modelling.

Good Management Practices in Managing the Most Important Factors to Ensure Dureble Soil Quality

2017 ◽  
Vol 68 (10) ◽  
pp. 2350-2357
Author(s):  
George Ungureanu ◽  
Gabriela Ignat ◽  
Eduard Boghita ◽  
Luiza Costuleanu ◽  
Catalin Razvan Vintu ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Management Practices ◽  
Programming Model ◽  
Farming Systems ◽  
Economic Incentives ◽  
Silage Maize ◽  
Cash Crops ◽  
Raising Awareness ◽  
Fodder Grass ◽  
Alfalfa Silage

The importance of sustainable development has started to be acknowledged in Romania as well, once the various pollution sources and the restrictions affecting industrial and agricultural pollution were identified, from an economic and ecological standpoint. Sustainable development represents the need of raising awareness about environmental protection and educating people, and this aspect is reflected by the evolution of communal policies in recent years, policies marked by a shift from an approach based on constraints and sanctions to a higher level of flexibility, based on incentives. The purpose of this paper is to make a recommendation for improving existing policy by making an assessment of economic incentives in order to stimulate farmers to adopt sustainable farming systems of a viable, sustainable agriculture, capable to apply the newest technologies and lead to profit and efficiency, to the economical and organizational consolidation. To analyse the effects of different zone packages on income of farmers and the environment a linear programming model is developed for a typical, 192 ha mixed farm in the Iasi region plain pilot area. The major activities of the farm is keeping dairy cattle, growing fodder (grass, alfalfa, silage maize) and cash crops (winter wheat and maize).

Analysis on the Penetration Level of Wind Farm Considering Transient Stability Constraint and Uncertainty of Wind Power

2020 ◽  
Vol 13 (7) ◽  
pp. 1078-1086
Author(s):  
Bai Hao ◽  
Huang Andi ◽  
Zhou Changcheng
Keyword(s):  
Wind Power ◽  
Energy Function ◽  
Wind Farm ◽  
Transient Stability ◽  
Programming Model ◽  
Forecast Error ◽  
Credibility Theory ◽  
Mixed Integer ◽  
Stability Constraint ◽  
Level Problem

Background: The penetration level of a wind farm with transient stability constraint and static security constraint has been a key problem in wind power applications. Objective: The study explores maximum penetration level problem of wind considering transient stability constraint and uncertainty of wind power out, based on credibility theory and corrected energy function method. Methods: According to the corrected energy function, the transient stability constraint of the power grid is transferred to the penetration level problem of a wind farm. Wind speed forecast error is handled as a fuzzy variable to express the uncertainty of wind farm output. Then this paper builds a fuzzy chance-constrained model to calculate wind farm penetration level. To avoid inefficient fuzzy simulation, the model is simplified to a mixed integer linear programming model. Results: The results validate the proposed model and investigate the influence of grid-connection node, wind turbine characteristic, fuzzy reliability index, and transient stability index on wind farm penetration level. Conclusion: The result shows that the model proposed in this study can consider the uncertainty of wind power out and establish a quantitative transient stability constraint to determine the wind farm penetration level with a certain fuzzy confidence level.

INTERTWinE, Programming Model INTERoperability ToWards Exascale, H2020

Impact ◽  
2018 ◽  
Vol 2018 (5) ◽  
pp. 45-47
Author(s):  
Olivier Aumage ◽  
Valeria Bartsch ◽  
George Beckett ◽  
Mark Bull
Keyword(s):  
Programming Model
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