Logistic Warehouse Process Optimization through Genetic Programming Algorithm

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Logistic Warehouse Process Optimization through Genetic Programming Algorithm

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Logistic Warehouse Process Optimization through Genetic Programming Algorithm

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

<a href="/cs/project/FR-TI1%2F444" target="_blank" >FR-TI1/444: Výzkum a vývoj systému pro optimalizaci výrobních procesů</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

978-3-319-06739-1

ISSN

—

e-ISSN

—

Počet stran výsledku

12

Strana od-do

29-40

Název nakladatele

Springer

Místo vydání

Neuveden

Místo konání akce

Tomas Bata University in Zlin

Datum konání akce

28. 4. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000370620000003