APPLICATION OF A PLANT LOCATION MODEL TO AN AREA'S COTTON GINNING INDUSTRY

Agribusiness,

OPTIMUM NUMBER AND LOCATION OF MANUFACTURING MILK PLANTS TO MINIMIZE MARKETING COSTS

Marketing,

ON THE FACILITATIVE ROLE OF THE ECONOMIST IN ECONOMIC DEVELOPMENT - CASE STUDY OF A GEORGIA SHRIMP HARBOR INVESTMENT

Community/Rural/Urban Development,

A MIXED-INTEGER PROGRAMMING ANALYSIS OF THE STRUCTURE OF A FLORIDA-BASED CATTLE FEEDING INDUSTRY

Florida is typical of many southeastern states in that it exports feeder cattle and imports carcass and boxed beef. The objective of this paper is to estimate the cost of retaining feeder cattle in Florida, feeding these cattle to slaughter weights, slaughtering them, and distributing the meat to retail outlets. A mixed integer programming model is developed. The optimal number and location of feedlots and slaughter plants are determined. The results indicate that at production levels exceeding 600,000 head, the cost of producing carcass beef in the State is comparable to the average for the United States.Livestock Production/Industries,

Optimizing Ethanol Production in North Dakota

A spatial equilibrium model based on a non-linear mathematical programming algorithm was developed to determine the optimal number, location, and size of cellulose ethanol plants for North Dakota. The objective function of the model is to minimize processing cost of biomass for ethanol and the transportation cost of shipping biomass to processing plants and ethanol to blending facilities. A heuristic approach, combined with a spatial equilibrium model, was used to determine the optimal number, location and size of biomass processing plants.Cellulosic ethanol, biomass, mathematical programming, heuristic, production costs, Agribusiness,

A VARIANCE COMPONENT APPROACH TO INDUSTRY COST ANALYSIS

Demand and Price Analysis,

Constructing Pauli pulse schemes for decoupling and quantum simulation

Dynamical decoupling is a powerful technique to suppress errors in quantum systems originating from environmental couplings or from unwanted inter-particle interactions. However, it can also be used to selectively decouple specific couplings in a quantum system. We present a simple and easy-to-use general method to construct such selective decoupling schemes on qubit and qudit networks by means of (generalized) Pauli operations. As these constructed schemes can suppress Hamiltonian interactions on general qudit networks selectively, they are well suited for purposes of approximate quantum simulation. Some examples are presented, demonstrating the use of our method and the resulting decoupling schemes.Comment: 11 pages, 5 figure

APPLICATION OF THE TRANSHIPMENT MODEL TO DEVELOPMENT OF THE SEED INDUSTRY IN NORTHEAST BRAZIL

Crop Production/Industries,