Search

A study was conducted to evaluate the AXIS (algorithms combined with knowledge systems in an interactive sequence) solution framework. The framework combines structured algorithms and knowledge-based expert systems for developing best and expert heuristic solutions. The study is based on aggregate production planning. Results show that the AXIS framework produce high quality solutions at less cost.

A decision support system was developed in the University of South Carolina to assign MBA students their respective field study project teams. The purpose of the system is to appease student preferences while controlling team composition and quality. Students were asked to indicate their choice of project from which a preferential ranking system was created. Favorable reply concerning the project grouping has been reported among students and administration officials.

The issues of facility layout and bed allocation in health care settings are typically evaluated separately using very different model-based approaches. This paper describes a two-phase approach to the hospital layout problem that incorporates a number of considerations from typical layout models and methods used in determining bed allocations. The first phase involves a quadratic integer goal programming model that determines a configuration and recommended allocation of beds to hospital services. The detailed ramifications of the proposed layout are then evaluated in the second phase via a simulation model. The application of the optimization-simulation approach in a general purpose hospital is described.

This paper describes and discusses a mathematical model for developing a Master Production Schedule. The model considers multiple objectives and several typical constraints. The input parameters to the model are determined and an example is solved to illustrate the procedure. [ABSTRACT FROM AUTHOR]

Focuses on the combination of multiple forecasts and consideration of multiple objectives in the forecast selection process. Use of multiple objective linear programming for the expansion of computerized forecasting systems; Assessment on the combined forecasts.

Presented is a note on integrating inventory and product sales-mix models. The objective is to determine the number of units of each product, to sell in order to maximize profits subject to to the stated constraints, which may include assumed restrictions on demand and capacity. Also presented is an example obtained by a slight modification of the first constraint of the Raiborn and Harris example.

This paper is concerned with a production planning problem of allocating production items to production shifts on production lines in a multiple objective decision environment. The problem is modeled and solutions are generated using integer goal programming techniques. Objectives are formulated not only in terms of minimizing the sum of deviations from goal target levels, but also in terms of minimizing the maximum deviation. Test results indicate that the model structure and solution process utilized can provide decision makers with a good set of representative solutions in a rather complex multiple objective decision environment. [ABSTRACT FROM AUTHOR]

In a recent article, Shim and Siegel discuss goal programming with quadratic preferences. In attempting to illustrate the solution of such decision problems, they obtain incorrect solutions to simple problems by complicated means. This paper points out the errors in the previously published manuscript. [ABSTRACT FROM AUTHOR]