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APPLICATIONS OF PERFORMANCE INDICATORS FOR OPTIMIZATION OF HUMANITARIAN CHAINS

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F23%3A00558389" target="_blank" >RIV/60162694:G42__/23:00558389 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://www.logforum.net/pdf/18_4_9_22.pdf" target="_blank" >https://www.logforum.net/pdf/18_4_9_22.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.17270/J.LOG.2022.765" target="_blank" >10.17270/J.LOG.2022.765</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    APPLICATIONS OF PERFORMANCE INDICATORS FOR OPTIMIZATION OF HUMANITARIAN CHAINS

  • Popis výsledku v původním jazyce

    Background: Humanitarian operations are a key contribution to alleviating human suffering and reducing property damage. The success of these measures is conditioned by the implementation of efficient and sufficiently flexible logistics chains. The specificity of the conditions for the distribution of material aid requires the preparation of a suitable distribution system, the necessary capacities, and the creation of conditions to achieve the flexibility of individual solutions. The key issue for the implementation of the humanitarian aid distribution itself is the identification of suitable performance indicators, considering the specifics in the individual phases of humanitarian aid implementation. Methods: The approach is based on the research and content analysis, followed by creating a conceptual model and workflow diagram using interviews with experts, and identifying key performance indicators for optimization within the case study. Results: The humanitarian supply process was identified through a workflow diagram. A model was built to illustrate a case study of the use of rail transport to the provide humanitarian aid to Ukraine crisis in 2022. Performance indicators are compiled for the model. Recommendations are formulated for the creation of suitable indicators of the performance of humanitarian logistics chains. Conclusion: A gap and research problem in performance improvement and its measurement is identified within humanitarian logistics. This study examines the opportunity to improve the performance of humanitarian distribution to Ukraine in 2021.

  • Název v anglickém jazyce

    APPLICATIONS OF PERFORMANCE INDICATORS FOR OPTIMIZATION OF HUMANITARIAN CHAINS

  • Popis výsledku anglicky

    Background: Humanitarian operations are a key contribution to alleviating human suffering and reducing property damage. The success of these measures is conditioned by the implementation of efficient and sufficiently flexible logistics chains. The specificity of the conditions for the distribution of material aid requires the preparation of a suitable distribution system, the necessary capacities, and the creation of conditions to achieve the flexibility of individual solutions. The key issue for the implementation of the humanitarian aid distribution itself is the identification of suitable performance indicators, considering the specifics in the individual phases of humanitarian aid implementation. Methods: The approach is based on the research and content analysis, followed by creating a conceptual model and workflow diagram using interviews with experts, and identifying key performance indicators for optimization within the case study. Results: The humanitarian supply process was identified through a workflow diagram. A model was built to illustrate a case study of the use of rail transport to the provide humanitarian aid to Ukraine crisis in 2022. Performance indicators are compiled for the model. Recommendations are formulated for the creation of suitable indicators of the performance of humanitarian logistics chains. Conclusion: A gap and research problem in performance improvement and its measurement is identified within humanitarian logistics. This study examines the opportunity to improve the performance of humanitarian distribution to Ukraine in 2021.

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

Ostatní

  • Rok uplatnění

    2022

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Logforum

  • ISSN

    1895-2038

  • e-ISSN

    1734-459X

  • Svazek periodika

    18

  • Číslo periodika v rámci svazku

    4

  • Stát vydavatele periodika

    PL - Polská republika

  • Počet stran výsledku

    10

  • Strana od-do

    495-504

  • Kód UT WoS článku

    000907613800009

  • EID výsledku v databázi Scopus

    2-s2.0-85146180050