Knowledge management as a support for supply chain logistics planning in pandemic cases

Authors

DOI:

https://doi.org/10.14488/BJOPM.2020.033

Keywords:

Knowledge management, Supply chain management, Logistics, Pandemic

Abstract

Objective: This study presents how the knowledge management can be an excellent ally to logistics for planning the supply chain in actions in cases of pandemic.

Project / Methodology / Approach: The present study was based on a bibliographic review sought in the main existing databases. From there, it was possible to obtain subsidies to support the proposal of this work.

Results: The results showed that a correct application of knowledge management can assist in logistical planning in a very effective way, reducing gaps and shortages, providing very effective actions to mitigate the main obstacles that a pandemic can generate.

Research limitations: The most important limitation in this study was the fact that the COVID-19 pandemic is still very active and logistics operations do not yet have effective and consolidated data to bring even more reliable results.

Practical implications: According to the conclusions obtained, governmental organizations, at their three levels (municipal, state and federal) should focus on creating public policies that mitigate the problems of supplying of the various matrices of inputs and products.

Originality / value: The main contribution of the research lies in the opportunity to present a management component to assist the logistical demands that occur in a pandemic environment.

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Author Biography

Carlos Alberto Schettini Pinto, Defence Ministry

He holds Bachelor's degrees in Military Sciences from the Military Academy of Agulhas Negras (1993) and in Administration from the Federal Rural University of Rio de Janeiro (2014), Master's in Military Operations from the School for the Improvement of Officers (2002), Master in Business Administration in Business Logistics by the Federal Center for Technological Education of Rio de Janeiro (2004), Extension in Logistics Management by the Military Institute of Engineering (2007), Specialist in Intelligence of Geographic Images by the Military Intelligence School of the Army (2010), Specialist in Management of Information and Communications Security from the University of Brasília (2011), Specialist in Public Management from the Federal University of Pará (2012) Specialist in Planning, Implementation and Management of Distance Learning (2015), Master in Production and Systems Engineering, and post- graduating in Technological Education, both from the Federal Center for Technological Education in Rio January (2019). In the last years he worked in the area of ​​Education, Culture, Logistics and Analysis of Geographic Images of the Brazilian Army. Has experience in the areas of Administration, with emphasis on Logistics, Teaching (education and culture), Psychopedagogy, Distance Learning, Geointeligence and, Intelligence. Also working with: Defense, Maintenance and Presential and Distance Learning. He worked in the Army's Education and Culture Department, where he worked, for 5 years, in the area of ​​management of information assets, observing the maintenance of cultural aspects in the various subordinate educational institutions linked to the Department; later, he was responsible for the Talent Management System in the Education and Culture area of ​​the Army and for the Specific Functional Qualification of Education event. From February 2019 to January 2020, he was the General Coordinator for Policies for Brazilian Cultural Traditions of the Secretariat of Specialized Education Modalities of the Ministry of Education; in addition, he acts as a Tutor Professor at FGV-Online in management courses.

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Published

2020-09-04

How to Cite

Pinto, C. A. S. (2020). Knowledge management as a support for supply chain logistics planning in pandemic cases. Brazilian Journal of Operations & Production Management, 17(3), 1–11. https://doi.org/10.14488/BJOPM.2020.033

Issue

Vol. 17 No. 3 (2020): September, 2020 - Special Issue

Section

Research paper

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