Logistic Warehouse Process Optimization through Genetic Programming Algorithm

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU107978" target="_blank" >RIV/00216305:26220/14:PU107978 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-319-06740-7_3" target="_blank" >http://dx.doi.org/10.1007/978-3-319-06740-7_3</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-06740-7_3" target="_blank" >10.1007/978-3-319-06740-7_3</a>

Result language

angličtina

Original language name

Logistic Warehouse Process Optimization through Genetic Programming Algorithm

Original language description

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.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/FR-TI1%2F444" target="_blank" >FR-TI1/444: Research and development of the system for manufacturing optimization</a><br>

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

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

ISBN

978-3-319-06739-1

ISSN

—

e-ISSN

—

Number of pages

12

Pages from-to

29-40

Publisher name

Springer

Place of publication

Neuveden

Event location

Tomas Bata University in Zlin

Event date

Apr 28, 2014

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000370620000003