A market regulation bilevel problem: a case study of the Mexican petrochemical industry

Maravillo, Héctor; Camacho-Vallejo, José-Fernando; Puerto, Justo; Labbé, Martine

Document type :

Article dans une revue scientifique

DOI :

10.1016/j.omega.2019.08.012

Title :

A market regulation bilevel problem: a case study of the Mexican petrochemical industry

Author(s) :

Maravillo, Héctor [Auteur]
Universidad Autonoma de Nuevo Leon [Mexique] [UANL]
Camacho-Vallejo, José-Fernando [Auteur]
Universidad Autonoma de Nuevo Leon [Mexique] [UANL]
Puerto, Justo [Auteur]
Universidad de Sevilla / University of Sevilla
Labbé, Martine [Auteur]
Integrated Optimization with Complex Structure [INOCS]

Journal title :

Omega

Publisher :

Elsevier

Publication date :

2019

ISSN :

0305-0483

English keyword(s) :

Market regulation
Bilevel programming
Petrochemical industry

HAL domain(s) :

Informatique [cs]/Recherche opérationnelle [cs.RO]

English abstract : [en]

In this paper, a bilevel programming model is proposed to study a problem of market regulation through government intervention. One of the main characteristics of the problem herein analyzed is that the government monopolizes ...
Show more >In this paper, a bilevel programming model is proposed to study a problem of market regulation through government intervention. One of the main characteristics of the problem herein analyzed is that the government monopolizes the raw material in one industry, and competes in another industry with private firms for the production of commodities. Under this scheme, the government controls a state-owned firm to balance the market; that is, to minimize the difference between the produced and demanded commodities. On the other hand, a regulatory organism that coordinates private firms aims to maximize the total profit by deciding the amount of raw material bought from the state-owned firm. Two equivalent single-level reformulations are proposed to solve the problem. The first reformulation is based on the strong duality condition of the lower level and results in a continuous non-linear model. The second reformulation resorts to the complementarity slackness optimality constraints yielding a mixed-integer linear model. Additionally, three heuristic algorithms are designed to obtain good-quality solutions with low computational effort. In this problem, the feasible region of the dual problem associated to the follower is independent from the leader's decision. Therefore, the proposed heuristics exploit this particular characteristic of the bilevel model. Moreover, the third heuristic hybridizes the other two algorithms to enhance its performance. Extensive computational experimentation is carried out to measure the efficiency of the proposed solution methodologies. A case study based on the Mexican petrochemical industry is presented. Additional instances generated from the case study are considered to validate the robustness of the proposed heuristic algorithms. Numerical results indicate that the hybrid algorithm outperforms the other two heuristics. However, all of them demonstrate to be good alternatives for solving the problem. Additionally, optimal solutions of all the instances are obtained by using good quality solutions (given by the hybrid algorithm) as initial solutions when solving the second reformulation via a general purpose solver.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

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