Abstract
A new optimization model of Automated Storage and Retrieval Systems (AS/RS) containing three objective and four constraint functions is presented in this paper. Majority of the researchers and publications in material handling field had performed optimization of different decision variables, but with single objective function only. Most common functions are: minimum travel time, maximum throughput capacity, minimum cost, maximum energy efficiency, etc. To perform the simultaneous optimization of objective functions (minimum: “investment expenses”, “cycle times”, “CO 2 footprint”) the Non-dominated Sorting Genetic Algorithm II (NSGA II) was used. The NSGA II is a tool for finding the Pareto optimal solutions on the Pareto line. Determining the performance of the system is the main goal of our model. Since AS/RS are not flexible in terms of layout and organizational changes once the system is up and running, the proposed model could be a very helpful tool for the warehouse planners in the early stages of warehouse design
Highlights
In recent times, the trend of globalisation and ever-increasing competitiveness in world market, means that companies are forced to find optimal balance between quality and availability of their products or services, and lowest possible expenses, as a way of reducing the price of the final product
A new optimization model of Automated Storage and Retrieval Systems (AS/RS) containing three objective and four constraint functions is presented in this paper
The Non-dominated Sorting Genetic Algorithm II (NSGA II) is a tool for finding the Pareto optimal solutions on the Pareto line
Summary
The trend of globalisation and ever-increasing competitiveness in world market, means that companies are forced to find optimal balance between quality and availability of their products or services, and lowest possible expenses, as a way of reducing the price of the final product. Modern means of transport allow companies to have production facilities on different continents, and it is not uncommon for materials to “travel” for thousands of kilometres and go through several production phases from raw materials to finished products In this process, warehouses are an absolute necessity. The best solution for storage expenses would be, not to have warehouses at all, there are only a handful of examples in the world where production chain is organized in such manner, that all raw materials, parts and components are brought to processing location at the exact time when they are needed. Some of the reasons to have warehouses are following (Hompel, Schmidt 2007):
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