Coal blending optimization under uncertainty

Article Abstract:

The decision problems associated with coal blending under uncertain conditions was characterized via a multi-objective chance-constrained programming model. The model represented sulphur content, ash content and heating value as normally distributed random variables and treated the coal purchasing cost, ash disposal cost, sulphur removal cost and fuel switching costs as the cost objective function. The problem was then reformulated as a mixed integer nonlinear programming problem to facilitate its application.

Coal, Coal Mining, Multiple criteria decision making, Models, Management, Mathematical optimization, Desulfurization, Clean coal technology, Coal preparation

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Goal programming and data envelopment analysis (GoDEA) for target-based multi-level planning: allocating central grants to the Greek local authorities

Article Abstract:

The use of goal programming and data envelopment analysis for unifying the tasks of resource allocation and target setting in multi-unit, multi-level planning is examined. Specifically, the two techniques are incorporated into a model that supports a link between resource allocation and performance targets of individual decision-making units and that incorporates decision-makers' preferences. It was implemented as a group decision support system for the budget planning needs of Greek local authorities.

Data envelopment analysis, Strategic planning (Business), Resource allocation

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On solving a variation of the assignment problem

Article Abstract:

A new algorithm for solving S. Geetha and K.P.K. Nair's proposed variant of the n-by-n bottleneck assignment problem is introduced. The procedure is based on the application of M.L. Balinski's signature method or dual simplex method to the assignment problem at each stage. Unlike Geetha and Nair's O(n5) algorithm, it is simpler, having a complexity of 'O m(m + n log n)' where m is the number of arcs.

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