scholarly journals A GIS-based Linear Programming Model for Optimizing Agricultural Land Levelling

10.5109/17814 ◽  
2010 ◽  
Vol 55 (1) ◽  
pp. 131-135
Author(s):  
Guoqiang Wang ◽  
Baolin Xue ◽  
Jingshan Yu ◽  
Kyoichi Otsuki
Keyword(s):  
Linear Programming ◽  
Agricultural Land ◽  
Programming Model ◽  
Linear Programming Model

Some Comments on the Stevens Linear and Quadratic Programming Versions of von Thünen's Theory of Agricultural Land Usage

1979 ◽  
Vol 11 (8) ◽  
pp. 943-962 ◽  
Author(s):  
W D Macmillan
Keyword(s):  
Linear Programming ◽  
Quadratic Programming ◽  
General Equilibrium ◽  
Agricultural Land ◽  
Programming Model ◽  
Linear Programming Model ◽  
Demand Elasticity ◽  
Partial Equilibrium ◽  
Land Usage ◽  
Working Definition

This paper examines the Stevens linear and quadratic programming formulations of von Thünen's analysis of agricultural land usage (Stevens, 1968). The first section contains a description of the Walras—Wald version of general economic equilibrium, plus a working definition of the expressions: general equilibrium sketch, paticularised general equilibrium sketch, and partial equilibrium sketch. [The author's distinction between a sketch and a model is explained in Macmillan (1978).] In section 2, von Thünen's assumptions, Stevens's (first) revised version of those assumptions, and Stevens's linear programming model are described. In section 3, the relationship between the Stevens linear programming model and the Walras—Wald model is examined. The fourth section contains a description of Stevens's approach to the relaxation of von Thünen's assumption of infinite demand elasticity, and a comparison of that approach with the so-called partial equilibrium approach to the same problem. It is claimed that this comparison is of some general, methodological interest. Section 5 contains the paper's conclusions.

scholarly journals USTED: a methodology for a quantitative analysis of land use scenarios

1995 ◽  
Vol 43 (1) ◽  
pp. 5-18 ◽  
Author(s):  
J.J. Stoorvogel ◽  
R.A. Schipper ◽  
D.M. Jansen
Keyword(s):  
Land Use ◽  
Linear Programming ◽  
Agricultural Land ◽  
Programming Model ◽  
Computer Software ◽  
Simulation Models ◽  
Linear Programming Model ◽  
Chemical Compositions ◽  
Attribute Data

Scenarios are a useful tool to study the effects of changes in the socio-economic and/or biophysical environment on agricultural land use. For the analysis of these scenarios an operational methodology, USTED, has been developed. The methodology is based on a linear programming model in combination with GIS, crop growth simulation models, and expert systems. The data requirements include quantitative descriptions of land use systems and technologies, attribute data on such features as prices and chemical compositions, and georeferenced data on farms and soils. Sustainability is incorporated in the methodology by a limited number of quantified sustainability parameters. The linear programming model analyses, on the basis of different farm types, the effect of different scenarios on land use. Customized computer software (MODUS) is used to integrate the different models. The methodology is illustrated with a case study for the Neguev settlement in the Atlantic Zone of Costa Rica.

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.

A Linear Programming Model to Evaluate Gas Availability for Vital Industries in Saudi Arabia

1992 ◽  
Vol 43 (11) ◽  
pp. 1035-1045
Author(s):  
S O Duffuaa ◽  
J A Al-Zayer ◽  
M A Al-Marhoun ◽  
M A Al-Saleh
Keyword(s):  
Saudi Arabia ◽  
Linear Programming ◽  
Programming Model ◽  
Linear Programming Model
Sign in / Sign up

Export Citation Format

Share Document