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