Abstract
The Mobile Oil Recovery (MOR) unit is a truck able to pump marginal wells in a petrol field. The goal of the MOR optimization Problem (MORP) is to optimize both the oil extraction and the travel costs. We describe several formulations for the MORP using a single vehicle or a fleet of vehicles. We have also strengthened them by improving the subtour elimination constraints. Optimality is proved for instances close to reality with up to 200 nodes.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Aloise, D., Aloise, D.J., Ochi, L.S., Maia, R.S., Bittencourt, V.G.: Uma colônia de formigas para o problema de explotação de petróleo e otimização de rotas de unidades móveis de pistoneio. In: Congresso Brasileiro de Automática, Natal., pp. 1232–1237 (2002)
Balas, E.: The prize collecting traveling salesman problem. Networks 19, 621–636 (1989)
Boffey, B.: Multiobjective routing problems. TOP 3, 167–220 (1995)
Corte-Real, M., Gouveia, L.: Network flow models for the local access network expansion problem. Computers and Operations Research 34, 1141–1157 (2007)
Desrochers, M., Laporte, G.: Improvements and extensions to the Miller-Tucker-Zemlin subtour elimination constraints. Operations Research Letters 10, 27–36 (1991)
Gavish, B., Graves, S.C.: The travelling salesman problem and related problems. Technical Report OR 078-78, Massachusetts Institute of Technology (2005)
Keller, C.K., Goodchild, M.F.: The multiobjective vending problem: a generalization of the travelling salesman problem. Environment and Planning B: Planning and Design 15, 447–460 (1988)
Laporte, G., Martelo, S.: The selective travelling salesman problem. Discrete Applied Mathematics 26, 193–207 (1990)
Laporte, G., Osman, I.H.: Routing problems: A bibliography. Annals of Operations Research 61, 227–262 (1995)
Magnanti, T.L., Wolsey, L.: Optimal trees in network models. In: Handbooks in operations research and management science, vol. 7, pp. 503–615. Elsevier, North-Holland (1995)
Miller, C.E., Tucker, A.W., Zemlin, R.A.: Integer programming formulations and traveling salesman problems. Journal of the ACM 7, 326–329 (1960)
Ropke, S., Cordeau, J.F., Laporte, G.: Models and branch-and-cut algorithms for pickup and delivery problems with time windows. Networks 49, 258–272 (2007)
Santos, A.C., Barros, C.A., Aloise, D.J., Neves, J.A., Noronha, T.F.: Um algoritmo GRASP reativo aplicado ao problema do emprego da unidade móvel de pistoneio. In: XXXIII Simpósio Brasileiro de Pesquisa Operacional, Campos do Jordão, pp. 247–258 (2001)
Toth, P., Vigo, D.: The vehicle routing problem. Society for Industrial & Applied Mathematics. SIAM, Philadelphia (2002)
Wong, R.T.: Integer programming formulations and traveling salesman problems. In: Proceedings IEEE Conference on Circuits and Computers, pp. 149–152. IEEE Press, Los Alamitos (1980)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Santos, A.C., Duhamel, C., Aloise, D.J. (2008). Modeling the Mobile Oil Recovery Problem as a Multiobjective Vehicle Routing Problem. In: Le Thi, H.A., Bouvry, P., Pham Dinh, T. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. MCO 2008. Communications in Computer and Information Science, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87477-5_31
Download citation
DOI: https://doi.org/10.1007/978-3-540-87477-5_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87476-8
Online ISBN: 978-3-540-87477-5
eBook Packages: Computer ScienceComputer Science (R0)