OR Modelling
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Editorial OR Modelling Associate Editor: Miles G. Nicholls The Editors are pleased to offer this opportunity for the associate editor for OR A/Iodelling to outline his domain,
appropriate heuristics for solution)
and seek contri butions from potential authors.
problems applications in defence, manufacturing, supply chain many others not mentioned!
a variety of production and process
OR Modelling in its broadest definition could cover every application of OR from 'hard ' to 'soft', from simulation to dynamic programming and encompass analytical solutions through to
The key feature about Or Modelling in the oRT sense is that the way in which the modelling is undertaken is of great interest. TThe emphasis for publication in OR Insight with respect to OR
heuristic ones. However, for the purposes of OR
Insight it is considered as the depiction and analysis of real world situations approaches, using suitable approaches, methods, and
Modelling, is on for practical examples of its application, ones that will be of interest to the
techniques, with the intention of obtaining optimal, best practice, or improved solutions to resource allocation problems. This includes 'hard' and/or 'soft' modelling using appropriate solution algorithms/heuristics (or combinations in the case of mixed-mode modelling problems). For detailed discussion of mixed-mode modelling, the interested reader is referred to
OR community as a whole, rather than a subset.
In recent years, there appears to he a very welcome increase in the number of articles published in OR Inszht of this nature (see examples below).
One question that needs to be addressed, is where is the distinction drawn between OR
Nicholls et al (2001).
Modelling and Combinatorial Optimisation for OR Insight? An editorial was The is eloquently provided by the Associate Editors for Combinatorial Optimisation (Kathryn
I would rephrase the following paragraph to offer more of a range of approaches. The problems to which OR Modelling can be applied are numerous. They include:
Dowsiand and Bill Dowsland (2002)), where they indicate "Combinatorial Optimisation (CO) involves
the well known oil refinery models (using LP) glass manufacturing (MILP)
health,
choosing options from a set of possibilities in such a way as to optimise one or more objectives". OR ]\ilodelling
and sequencing
may overlap with this but is not constrained this definition.
aluminium smelter modelling (MILP and Bi-level Non-linear Heuristics) maintenance of genetic diversity (NLP) developing strategies for higher education
For OR Modelling, pPractitioners
and
academics are invited to submit papers on applications of OR Modelling to 'real' problems that involve any of the approaches outlined in this article (or indeed using any other appropriate approach that has not been mentioned). ORT would be especially pleased to
(MILP)
holistic modelling of production incorporating 'soft' sub-models (a mixedmode modelling approach using 2
consider papers that addresses the processes associated with the Ibrrnul
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