Authors:
C. Alayet
1
;
N. Lehoux
1
;
L. Lebel
1
and
M. Bouchard
2
Affiliations:
1
Laval University, Interuniversity Research Centre on Enterprise Networks and Logistics and Transportation, Canada
;
2
University Laval, Canada
Keyword(s):
Decision Making Process, Forest Industry, Mixed-Integer Linear Model, Logistics Planning.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Artificial Intelligence
;
e-Business
;
Enterprise Information Systems
;
Industrial Engineering
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Logistics
;
Mathematical Modeling
;
Methodologies and Technologies
;
Network Optimization
;
Operational Research
;
Optimization
;
Pattern Recognition
;
Software Engineering
;
Supply Chain Management
;
Symbolic Systems
Abstract:
This paper presents a mixed-integer linear program (MILP) for a planning problem of multiple activities in the forest industry. The model developed aims at maximizing the total profit of the value chain by optimizing operations in harvesting, transportation, storage, and production. The main motivations for the model is a need to better account for important factors in planning and control, such as quality, freshness, and species of wood products. These factors have a direct influence on costs and supply decisions. In particular, the model developed will improve forest product companies’ industrial processes by a better control over the wood fibre freshness. Furthermore, our model is designed for a context where multiple independent companies supply their raw material from the same sources. It can therefore be used as a support tool for collaboration between actors in a forest supply chain.