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Designing Unit Load Automated Storage and Retrieval Systems
| Content Provider | Semantic Scholar |
|---|---|
| Author | Lerher, Tone Sraml, Matjaz |
| Copyright Year | 2012 |
| Abstract | The successful performance of the unit load automated storage and retrieval systems is dependent upon the appropriate design and optimization process. In this chapter a model of designing unit load automated storage and retrieval system for the single- and multi-aisle systems is presented. Because of the required conditions that the unit load automated storage and retrieval systems should be technically highly efficient and that it should be designed on reasonable expenses, the objective function represents minimum total cost. The objective function combines elements of layout, time-dependant part, the initial investment and the operational costs. Due to the nonlinear, multi-variable and discrete shape of the objective function, the method of genetic algorithms has been used for the optimization process of decision variables. The presented model proves to be a useful and flexible tool for choosing a particular type of the single- or multi-aisle system in designing unit load automated storage and retrieval systems. Computational analysis of the design model indicates the model suitability for addressing industry-size problems. |
| Starting Page | 211 |
| Ending Page | 231 |
| Page Count | 21 |
| File Format | PDF HTM / HTML |
| DOI | 10.1007/978-1-4471-2274-6_9 |
| Alternate Webpage(s) | http://mfile.narotama.ac.id/files/Management/Warehousing%20in%20the%20Global%20Supply%20Chain;%20Advanced%20Models,%20Tools%20and%20Applications%20for%20Storage%20Systems/Chapter%209%20Designing%20Unit%20Load%20Automated%20Storage%20and%20Retrieval%20Systems.pdf |
| Alternate Webpage(s) | https://doi.org/10.1007/978-1-4471-2274-6_9 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
