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Soft Computing
Erschienen in: Soft Computing 9/2017

23.11.2015 | Methodologies and Application

A solid transportation model with product blending and parameters as rough variables

verfasst von: Pradip Kundu, Mouhya B. Kar, Samarjit Kar, Tandra Pal, Manoranjan Maiti

Erschienen in: Soft Computing | Ausgabe 9/2017

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Abstract

In this paper, we formulate a practical solid transportation problem with product blending which is a common issue in many operational and planning models in the chemical, petroleum, gasoline and process industries. In the problem formulation, we consider that raw materials from different sources with different quality (or purity) levels are to be transported to some destinations so that the materials received at each destination can be blended together into the final product to meet minimum quality requirement of that destination. The parameters such as transportation costs, availabilities, demands are considered as rough variables in designing the model. We construct a rough chance-constrained programming (RCCP) model for the problem with rough parameters based on trust measure. This RCCP model is then transformed into deterministic form to solve the problem. Numerical example is presented to illustrate the problem model and solution strategy. The results are obtained using the standard optimization solver LINGO.
Vorheriger Artikel Nadir point estimation for many-objective optimization problems based on emphasized critical regions
Nächster Artikel Hybrid of binary gravitational search algorithm and mutual information for feature selection in intrusion detection systems

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Metadaten
Titel
A solid transportation model with product blending and parameters as rough variables
verfasst von
Pradip Kundu
Mouhya B. Kar
Samarjit Kar
Tandra Pal
Manoranjan Maiti
Publikationsdatum
23.11.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 9/2017
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-015-1941-9

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