Classification of Location Models and Location Softwares
According to the importance and advantages of classification, the first section of this chapter is dedicated to some presented classifications of location models, which help in having more disciplined understanding of location models. In the second sectio
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Classification of Location Models and Location Softwares Sajedeh Tafazzoli and Marzieh Mozafari
According to the importance and advantages of classification, the first section of this chapter is dedicated to some presented classifications of location models, which help in having more disciplined understanding of location models. In the second section, some location softwares will be introduced briefly.
21.1 Classification of Location Models Nowadays, with the increasing development of science in all branches, need for a systematic arrangement or proposing a classification scheme for easy access to scientific researches seems necessary. Location science is a branch of optimization science, which formally introduce by Alfred Weber in 1909. It has been growing so rapidly for years that now without a systematic classification of models, continuing the procedure of researches would be so difficult. Therefore, several efforts in classifying location models have been made that, some of them will be mentioned in this section.
21.1.1 Taxonomy vs. Classification Scheme Classification scheme and taxonomy are two terms often used interchangeably. Though there may be subtle differences in different examples. These two terms are considered as follows: Taxonomy is a classification of similar objects or concepts into a group, based on their separating characteristics. For example in location models based on “topological structure” criteria, location problems can be classified into three categories, planar (continuous), discrete and network. Taxonomy could be presented by proposing few criteria and classifying the concepts based on them. Classification scheme is a more general term, an arrangement or division of objects into groups based on characteristics common between the objects. The aim of R.Z. Farahani and M. Hekmatfar (eds.), Facility Location: Concepts, Models, Algorithms and Case Studies, Contributions to Management Science, c Physica-Verlag Heidelberg 2009 DOI 10.1007/978-3-7908-2151-2 21,
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a classification scheme which makes it different from taxonomy is to encompass the whole subject. But in taxonomy, it is not necessary to cover the whole subject. Regarding, the comprehensiveness of a classification scheme, it is used for encoding data which could have many benefits. Some of the advantages of using a classification scheme are mentioned below: Lets a user to find an object in a large collection quickly Makes detecting duplicate objects easier Present a meaning for an object, which may not be conveyed by its name or definition Makes concise problem statement, as opposed to verbal ambiguous descriptions Makes data encoding and information retrieval in bibliographical information system and software libraries simple Facilitate referencing in literature Provides a scheme of defined models and help in detecting models which could be worked on by researchers Assists in assigning a predefined model to a real problem
21.1.2 Taxonomy 21.1.2.1 Taxonomy of Francis and
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