Annual production budget in the beverage industry

• Type: Article in International Scientific Journal
• Date: 2012

Authors

Luís Guimarães (Author) FEUP; Diego Klabjan (Author) Other; Bernardo Almada-Lobo (Author) FEUP

Journal

Title: Engineering Applications of Artificial Intelligence

Vol. 25 No. 2

Pages: 229-241

ISSN: 0952-1976

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 16 Citations

Scopus - 20 Citations

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Other information

Authenticus ID: P-002-CMQ

DOI: 10.1016/j.engappai.2011.05.011

Abstract (EN): Driven by a real-world application in the beverage industry, this paper provides a design of a new VNS variant to tackle the annual production budget problem. The problem consists of assigning and scheduling production lots in a multi-plant environment, where each plant has a set of filling lines that bottle and pack drinks. Plans also consider final product transfers between the plants. Our algorithm fixes setup variables for family of products and determines production, inventory and transfer decisions by solving a linear programming (LP) model. As we are dealing with very large problem instances, it is inefficient and unpractical to search the entire neighborhood of the incumbent solution at each iteration of the algorithm. We explore the sensitivity analysis of the LP to guide the partial neighborhood search. Dual-reoptimization is also used to speed-up the solution procedure. Tests with instances from our case study have shown that the algorithm can substantially improve the current business practice, and it is more competitive than state-of-the-art commercial solvers and other VNS variants. (C) 2011 Elsevier Ltd. All rights reserved.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 13