Location of Container Port Investment Based on Bi-level Programming Model

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.

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Power Generation for India with Higher Efficiency

International Journal of Emerging Research in Management and Technology ◽

10.23956/ijermt.v6i7.223 ◽

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.

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Mixed-Integer Linear Programming Model for Efficient Water Distribution Planning in Wartime

Journal of the Korean Society of Supply Chain Management ◽

10.25052/kscm.2020.10.20.2.65 ◽

2020 ◽

Vol 20 (2) ◽

pp. 65-75

Author(s):

Wonsub Shin ◽

Joonrak Kim ◽

Bongju Jeong

Keyword(s):

Linear Programming ◽

Integer Linear Programming ◽

Mixed Integer Linear Programming ◽

Water Distribution ◽

Programming Model ◽

Linear Programming Model ◽

Mixed Integer ◽

Integer Linear Programming Model ◽

Distribution Planning

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

Jurnal Sains dan Teknologi Indonesia ◽

10.29122/jsti.v11i1.810 ◽

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.

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OPTIMAL ANALYSIS OF FARM AGRICULTURAL MACHINERY EQUIPMENT BASED ON MATHEMATICAL MODELLING

INMATEH Agricultural Engineering ◽

10.35633/inmateh-62-35 ◽

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.

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