Evaluation of the supply chain to improve competitiveness and productivity in the metalworking industry in Barranquilla, Colombia

This paper studies the levels of competitiveness and productivity of the Metalworking Sector of the city of Barranquilla, based on the design of an evaluation model for the supply chain of companies belonging to that sector. The model consists of five critical aspects: supply, storage, inventory man...

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Autores:
Salas-Navarro, Katherinne
Meza, Jhadai A.
Obredor-Baldovino, Thalía
Mercado-Caruso, Nohora
Tipo de recurso:
Article of journal
Fecha de publicación:
2018
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
spa
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/4174
Acceso en línea:
https://hdl.handle.net/11323/4174
https://repositorio.cuc.edu.co/
Palabra clave:
Metalworking industry
Competitivity
Productivity
Supply chain
Evaluation model
Industria metalúrgica
La competitividad
Productividad
Cadena de suministro
Modelo de evaluación
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-sa/4.0/
Description
Summary:This paper studies the levels of competitiveness and productivity of the Metalworking Sector of the city of Barranquilla, based on the design of an evaluation model for the supply chain of companies belonging to that sector. The model consists of five critical aspects: supply, storage, inventory management, distribution and transport, and reverse logistics. These factors include a set of variables that evaluate the planning, execution, measurement, and control of supply chain management. The model was validated in five companies of the Metalworking Sector of the city of Barranquilla. Solutions for integral logistics practices were established in the procurement processes, taking into account quality standards of processes and security of the supply chain. It is concluded that the sector has presented a great economic growth in the country and it is necessary the optimization and continuous improvement of the productive processes through the monitoring and control of appropriate indicators