Generalized disjunctive programming model for the multi-period production planning optimization: An application in a polyurethane foam manufacturing plant. (4th August 2017)

• Record Type: Journal Article
• Authors: Rodriguez, Maria Analia; Montagna, Jorge Marcelo; Vecchietti, Aldo; Corsano, Gabriela
• Is Part Of: Computers & chemical engineering. Volume 103(2017)
• Page Start: 69
• Page End: 80
• Publication Date: 2017-08-04
• Subjects: Generalized disjunctive programming -- Production planning -- Stock -- Optimization -- Rolling horizon -- Mattress industry; Chemical engineering -- Data processing -- Periodicals; 660.0285
• DOI: 10.1016/j.compchemeng.2017.03.006
• Languages: English
• ISSNs: 0098-1354

Abstract

Highlights: Production planning and stock management are simultaneously optimized. GDP model is proposed to address the multi-period problem. The model is solved through a rolling horizon approach. Different tradeoffs among the integrated problem decisions are assessed. The presented approach is applied to a real plant operation in the PU foam industry. Abstract: A Generalized Disjunctive Programming (GDP) model for the optimal multi-period production planning and stock management is proposed in this work. The formulation is applied to a polyurethane foam manufacturing plant that comprises three stages: a first step that produces pieces with certain characteristics, a second process that involves the location of these pieces in a limited area and a third stage where pieces 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 decisions integration is required. Due to the multi-period nature of the planning problem, a rolling horizon approach is suitable for solving it in reasonable computing time. It serves as a tool for analyzing the trade-offs among the different costs. Through the examples, the capabilities of the formulation and the proposed resolution method are highlighted.