Document Type : Article
Tecnologico de Monterrey, EGADE Business School, Ave. Eugenio Garza Laguera y Ruﬁno Tamayo, San Pedro Garza Garcıa, N.L., Mexico, 66269
Tecnologico de Monterrey, School of Engineering and Sciences, Ave. Eugenio Garza Sada 2501, Monterrey, N.L., Mexico, 64849
Many applications of optimisation require the final value of the decision variables to
be integer. In many cases the relaxed optimal solution does not satisfy the integral-
ity constraint therefore, the problem must be solved by integer or mix-integer pro-
gramming algorithms at a significant computational effort and most likely a worsen
objective function value. The contribution of this paper is twofold: The identification
of a type of problems in which the relaxed optimal objective function value can be
kept in the implementation by a change in the planning horizon; and the identifica-
tion of a multi-period based solution procedure. Three small instances are provided
in order to illustrate the methodology as well as the economic impact involved. In
addition, a fourth industrial size case is included for the benefit of practitioners.
This work shows that business profit can be increased for pseudo-continuous-integer
periodical linear problems by identifying optimal decision-making periods.