This paper presents a cooperative production planning method. The method is mainly based on a horizontal decomposition, every department of the plant cooperates in order to obtain a good global plan. Coordination is m...
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This paper presents a cooperative production planning method. The method is mainly based on a horizontal decomposition, every department of the plant cooperates in order to obtain a good global plan. Coordination is made by the plant managers. The departments will solve multi-objective linear programming problems. In this process a large number of goals is under attention, including goals expressed by expert knowledge. A production plan with high quality technical and economic features can be very fast constructed in order to extend through worldwide the processing business of petrochemical plants
A multi-product, multi-period, multi-objective linear programming model has been built as a contribution to good management of a blood donation–transfusion system in order to determine the best assignment of blood re...
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A multi-product, multi-period, multi-objective linear programming model has been built as a contribution to good management of a blood donation–transfusion system in order to determine the best assignment of blood resources to demand, which minimizes the quantity of blood imported from outside the system and stabilizes the quantities assigned daily. The model has been applied to the Italian Red Cross (CRI) blood donation–transfusion system in Rome and to each hospital belonging to such a system, producing interesting results. International Federation of Operational Research Societies 2001.
In this paper an object-oriented representation of a continuous process plant is viewed as a directed multi-graph-based pictorial model. The associated modelling language has two components, the first describing the s...
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In this paper an object-oriented representation of a continuous process plant is viewed as a directed multi-graph-based pictorial model. The associated modelling language has two components, the first describing the structure of production system in a pictorial manner and the second defining its behaviour. The structural-functional description realized through this language supports a significant reduction and so the initial multi-graph can be observed by a sequential graph. The context makes possible the natural development of the proposed cooperative production planning method. This method is mainly based on a horizontal decomposition, every department of the plant cooperates in order to obtain a good global plan. Coordination is made by the plant managers. The departments will solve multi-objective linear programming problems. In this process a large number of goals are set, including those expressed by experts. A specific rule-based computing technique is provided. This technique uses a rule constructor for expert knowledge acquisition and two facts categories defined by basic planning data and data generated by the mathematical solving method. Therefore, a production plan with high-quality technical and economic features can be constructed fast. (C) 2000 Elsevier Science B.V. All rights reserved.
This paper presents a fuzzy multi-objective linear programming approach to serve the energy allocation problem. For this, nine energy resources and six household end uses are considered. An optimal solution will be ex...
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This paper presents a fuzzy multi-objective linear programming approach to serve the energy allocation problem. For this, nine energy resources and six household end uses are considered. An optimal solution will be extracted, and an explicit interactive sensitivity analysis will be dealt with. As the results obtained depend on the fuzzy nature of the objective functions and on the conflicting nature of some of the objectives among themselves, the proposed method can be regarded as a decision support tool for the decision makers who can be guided by its results to arrive at an appropriate solution interactively. It will be shown that optimization using fuzzy logic can provide the decision-makers with more flexibility that would assist them in the allocation of various resources to meet the various end-uses by studying the effects of several factors such as price variations, membership function shapes and membership function reference values. Copyright (C) 1999 John Wiley & Sons, Ltd.
Optimal vertices of multiparametric linear-programming problems can be found by a local search procedure which involves testing only neighbouring vertices for optimality. When degeneracy is present, vertices and bases...
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Optimal vertices of multiparametric linear-programming problems can be found by a local search procedure which involves testing only neighbouring vertices for optimality. When degeneracy is present, vertices and bases will not uniquely correspond, but a similar basis exploration procedure can be used. It is shown that, to within closure, local search applied to bases generates all optimal vertices (but not necessarily all optimal bases) for any constraint set if and only if the cone of permitted objective functions is convex. This implies that the procedure is successful if and only if the problem is essentially one of vector optimization.
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