Authors:
Víctor M. Albornoz
1
;
Marcela González-Araya
2
;
Matías C. Gripe
1
and
Sara V. Rodríguez
3
Affiliations:
1
UTFSM, Chile
;
2
Universidad de Talca, Chile
;
3
Universidad Aut´onoma de Nuevo León, Mexico
Keyword(s):
Production Planning, Meat Industry, Mixed-Integer Linear Program, Product Perishability, Meat Supply Chain.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Artificial Intelligence
;
Industrial Engineering
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Mathematical Modeling
;
Methodologies and Technologies
;
Operational Research
;
Optimization
;
Supply Chain Management
;
Symbolic Systems
Abstract:
This paper reports a mixed integer linear programming model to support the planning at an operational level in a meat packing plant. The deterministic formulation considers multi-products (yielded from different cutting patterns applied to the carcasses), multi-periods, a batch quality distribution on carcasses and perishability. The perishability of the product is modeled by the inclusion of disaggregated inventory decision variables that take into account a given maximum number of days for fresh product. The main contribution of the present work is to develop an optimization model in a real tactical planning problem. Also we develop a sensitivity analysis on the quality of the carcasses, subject to large variability. We present here two different scenarios, comparing them to asses their economical impact.