Publication detail

Logistic Warehouse Process Optimization through Genetic Programming Algorithm

KARÁSEK, J. BURGET, R. POVODA, L.

Original Title

Logistic Warehouse Process Optimization through Genetic Programming Algorithm

Type

conference paper

Language

English

Original Abstract

This paper introduces process planning, scheduling and optimization in warehouse environment. The leading companies of the logistics warehouse industry still do not use planning and scheduling by automatic computer methods. Processes are planned and scheduled by an operational manager with detailed knowledge of the problem, processed tasks and commodities, warehouse layout, performance of employees, parameters of equipment etc. This is a quantum of information to be handled by a human and it can be very time-consuming to plan every process and schedule the timetable. The manager is usually also inuenced by stress conditions, especially by the time of holidays when everyone is making supplies and the performance of the whole warehouse management goes down. The main contribution of this work is a) to introduce the novel automatic method for optimization based on the evolutionary method called genetic programming, b) to give a description of a tested warehouse, and c) to show the metrics for performance measurement and to give a results which states the baseline for further research.

Keywords

Genetic Programming, Logistics, Optimization, Scheduling

Authors

KARÁSEK, J.; BURGET, R.; POVODA, L.

RIV year

2014

Released

28. 4. 2014

Publisher

Springer

ISBN

978-3-319-06739-1

Book

Advances in Intelligent Systems and Computing, Modern Trends and Techniques in Computer Science

Edition

285

Pages from

29

Pages to

40

Pages count

12

BibTex

@inproceedings{BUT105788,
  author="Jan {Karásek} and Radim {Burget} and Lukáš {Povoda}",
  title="Logistic Warehouse Process Optimization through Genetic Programming Algorithm",
  booktitle="Advances in Intelligent Systems and Computing, Modern Trends and Techniques in Computer Science",
  year="2014",
  series="285",
  pages="29--40",
  publisher="Springer",
  doi="10.1007/978-3-319-06740-7\{_}3",
  isbn="978-3-319-06739-1"
}