Possible Application of Solver Optimization Module for Solving Single-circuit Transport Problems

Author:

Šedivý Josef1,Čejka Jiří2,Guchenko Mykola3

Affiliation:

1. University of Pardubice ., Department of Transport Management, Marketing and Logistics , Studentská 95, 532 10 Pardubice , Czech Republic

2. Institute of Technology and Business in České Budějovice ., Department of Informatics and Natural Sciences , Okružní 517/10, 370 01 České Budějovice , Czech Republic

3. Kremenchuk Mykhailo Ostrogradskyi National University ., Department of Computer and Information Systems , Pershotravneva st. 20, 39600 Kremenchuk , Ukraine

Abstract

Abstract The article deals with the possible application of the Solver optimization module to solving the single-circuit transport problems. First, the article describes the single-circuit transport problems and the optimization module Solver itself. Using the specific model example of beer distribution, the author demonstrates the algorithm which may be applied to solving single-circuit transport problems by means of Solver. The travel route designed by Solver is then compared with the originally proposed route. The values being compared include the total length of travel routes created and the associated variable costs spent on serving customers and also route design time. Thus, using the practical example of beer distribution, the manuscript has demonstrated the algorithm which is used for addressing the single-circuit transport problems. Nonetheless, possible application of the Solver tool is not limited to seeking a solution to the travelling salesman problem only. It can also be implemented even to discussing the multi-circuit transport problems with various confinements.

Publisher

Walter de Gruyter GmbH

Subject

Management of Technology and Innovation,Management Science and Operations Research,Transportation,Automotive Engineering,Civil and Structural Engineering,Business and International Management

Reference20 articles.

1. [1] Linda, B. & Volek, J. (2011). Linear programming (4th ed.). Pardubice, Czech Republic: University of Pardubice.

2. [2] Holoubek, J. (2006). Economic-mathematical methods. Brno, Czech Republic: Mendel University of Agriculture and Forestry.

3. [3] Yang, J., Shi, X., Marchese, M. & Liang, Y. (2008). An ant colony optimization method for generalized TSP problem. Progress in Natural Science. 18(11), 1417-1422. DOI: 0.1016/j.pnsc.2008.03.028.10.1016/j.pnsc.2008.03.028

4. [4] Jablonský, J. (2007). Operations research: quantitative models for economic decision making (3rd ed.). Praha, Czech Republic: Professional Publishing.

5. [5] Pelikán, J. (2001). Discrete models in operational research. Brno, Czech Republic: Professional Publishing.

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