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An optimization approach for an order-picking warehouse: An empirical case

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F23%3A63567198" target="_blank" >RIV/70883521:28120/23:63567198 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://www.cjournal.cz/index.php?hid=clanek&bid=aktualni&cid=511&cp=" target="_blank" >https://www.cjournal.cz/index.php?hid=clanek&bid=aktualni&cid=511&cp=</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.7441/joc.2023.04.09" target="_blank" >10.7441/joc.2023.04.09</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    An optimization approach for an order-picking warehouse: An empirical case

  • Popis výsledku v původním jazyce

    Order-picking optimization in a business sustainable competitiveness context is challenging due to prior studies focusing on theoretical model development with unrealistic assumptions in their algorithms and methodological validation, often neglecting practical concerns. This paper improves order-picking operations by employing combinatorial optimization as a travelling salesman problem and class-based dedicated storage models for the ATP company. The paper’s originality and novelty lie in bridging the gap between academia and management, presenting an effort to connect theoretical concepts with practical optimization in order-picking warehouse operations in an environment of competitiveness. Realistic data and LINGO software were employed, revealing substantial improvements in the ATP warehouse operations through optimized pick path decisions embedded in warehouse layouts. This paper provides managerial tools for distance traveled optimization in the warehouse that yield competitive edges, enhanced supply chain efficiency and effectiveness, as well as other positive impacts on social, and environmental concerns such as labor safety, customer satisfaction, energy consumption, and CO2 emission. The paper also outlines future research directions to advance warehouse management and address sustainable competitiveness challenges, adding a new dimension to the original research.

  • Název v anglickém jazyce

    An optimization approach for an order-picking warehouse: An empirical case

  • Popis výsledku anglicky

    Order-picking optimization in a business sustainable competitiveness context is challenging due to prior studies focusing on theoretical model development with unrealistic assumptions in their algorithms and methodological validation, often neglecting practical concerns. This paper improves order-picking operations by employing combinatorial optimization as a travelling salesman problem and class-based dedicated storage models for the ATP company. The paper’s originality and novelty lie in bridging the gap between academia and management, presenting an effort to connect theoretical concepts with practical optimization in order-picking warehouse operations in an environment of competitiveness. Realistic data and LINGO software were employed, revealing substantial improvements in the ATP warehouse operations through optimized pick path decisions embedded in warehouse layouts. This paper provides managerial tools for distance traveled optimization in the warehouse that yield competitive edges, enhanced supply chain efficiency and effectiveness, as well as other positive impacts on social, and environmental concerns such as labor safety, customer satisfaction, energy consumption, and CO2 emission. The paper also outlines future research directions to advance warehouse management and address sustainable competitiveness challenges, adding a new dimension to the original research.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    50204 - Business and management

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2023

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Journal of Competitiveness

  • ISSN

    1804-1728

  • e-ISSN

  • Svazek periodika

    15

  • Číslo periodika v rámci svazku

    4

  • Stát vydavatele periodika

    CZ - Česká republika

  • Počet stran výsledku

    25

  • Strana od-do

    154-178

  • Kód UT WoS článku

    001143918000011

  • EID výsledku v databázi Scopus

    2-s2.0-85182871780