Generalized disjunctive programming model for the multi-period production planning optimization An application in a polyurethane foam manufacturing plant文档推荐.pdf

Computers and Chemical Engineering 103 (2017) 69–80 Contents lists available at ScienceDirect Computers and Chemical Engineering j o u rn al h omepage: w w w. elsev /locate/compchemeng Generalized disjunctive programming model for the multi-period production planning optimization: An application in a polyurethane foam manufacturing plant Maria Analia Rodriguez a , Jorge Marcelo Montagna b , Aldo Vecchietti b , Gabriela Corsano b,∗ a IDTQ-PLAPIQUI (CONICET-UNC), Av. Velez Sarsfield 1611, Ciudad Universitaria, X5016GCA, Córdoba, Argentina b INGAR (CONICET-UTN), Avellaneda 3657, Santa Fe 3000, Argentina a r t i c l e i n f o a b s t r a c t Article history: A Generalized Disjunctive Programming (GDP) model for the optimal multi-period production planning Received 10 August 2016 and stock management is proposed in this work. The formulation is applied to a polyurethane foam man- Received in revised form 6 March 2017 ufacturing plant that comprises three stages: a first step that produces pieces with certain characteristics, Accepted 8 March 2017 a second process that involves the location of these pieces in a limited area and a third stage where pieces Available online 12 March 2017 are stored in dedicated spaces. This article shows the GDP capabilities to provide a qualitative framework for representing the problem issues and their connections in a natural way, especially in a context where Keyword: decisions integration is requ