Simulation and Optimization Techniques for Sawmill Yard Operations—A Literature Review
Open Access
- 1 January 2014
- journal article
- Published by Scientific Research Publishing, Inc. in Journal of Intelligent Learning Systems and Applications
- Vol. 06 (01), 21-34
- https://doi.org/10.4236/jilsa.2014.61003
Abstract
Increasing costs and competitive business strategies are pushing sawmill enterprises to make an effort for optimization of their process management. Organizational decisions mainly concentrate on performance and reduction of operational costs in order to maintain profit margins. Although many efforts have been made, effective utilization of resources, optimal planning and maximum productivity in sawmill are still challenging to sawmill industries. Many researchers proposed the simulation models in combination with optimization techniques to address problems of integrated logistics optimization. The combination of simulation and optimization technique identifies the optimal strategy by simulating all complex behaviours of the system under consideration including objectives and constraints. During the past decade, an enormous number of studies were conducted to simulate operational inefficiencies in order to find optimal solutions. This paper gives a review on recent developments and challenges associated with simulation and optimization techniques. It was believed that the review would provide a perfect ground to the authors in pursuing further work in optimizing sawmill yard operations.Keywords
This publication has 75 references indexed in Scilit:
- Pickup and delivery problem using metaheuristics techniquesExpert Systems with Applications, 2012
- Simulation model incorporating genetic algorithms for optimal temporary hoist planning in high-rise building constructionAutomation in Construction, 2011
- Ant colony optimization algorithm to solve for the transportation problem of cross-docking networkComputers & Industrial Engineering, 2010
- A steady-state genetic algorithm for multi-product supply chain network designComputers & Industrial Engineering, 2009
- Rescheduling and optimization of logistic processes using GA and ACOEngineering Applications of Artificial Intelligence, 2008
- Ant colony optimization for disaster relief operationsTransportation Research. Part E, Logistics and Transportation Review, 2007
- A hybrid intelligent genetic algorithmAdvanced Engineering Informatics, 2005
- Global multiproduct production-Distribution planning with duty drawbacksAIChE Journal, 2005
- Simulation-based optimization with surrogate models—Application to supply chain managementComputers & Chemical Engineering, 2005
- Supply chain dynamicsInternational Journal of Computer Integrated Manufacturing, 1991