Abstract: Ports as a place where different areas of circulation of merchandise and services converge have be-come spaces of convergence between transport systems, service providers and are integrated into amerchandise distribution system that requires logistical developments. In the current situation, wherethe environment is increasingly complex, organizations must improve their internal and external per-formance, achieving integration with both suppliers and customers. To carry out this process, it isnecessary to identify and analyse the supply chain of each organization because it integrates supply anddemand both inside and outside the company. This integration ties together the functions and processesof the business to make it a coherent, operationally excellent, and high-performance business model.In this sense, the SCOR model (Supply Chain Operations Reference) represents a standard tool for di-agnosing supply chain management, providing a unique framework that integrates business concepts,management indicators, benchmarking, and the identification of best practices, in a structure to supportcommunication between all actors in the supply chain and improve management efficiency. The workanalysed the processes and activities of the supply chain of commercial ports to detect opportunities forimprovement. The description of supply chains following the structure of the SCOR model, allowed toanalyse very simple or complex supply chains using a common set of definitions. As a result, differentactivities could be linked to describe the depth and breadth of almost any supply chain. Continuousprocess improvement is a strategy that allows organizations to continuously generate value, adapting tochanges in the market and permanently satisfying the increasingly demanding needs and expectationsof their customers and users.
Authorship: Trueba-Castañeda L., Sanz D.S., Trueba A.,
Fuente: JMR: Journal of Maritime Research, 2022, 19(3), 1-8
Publisher: Universidad de Cantabria, Escuela Técnica Superior de Náutica / Sociedad Española de Estudios Científicos Marinos (SEECMAR)
Year of publication: 2022
No. of pages: 8
Publication type: Article
ISSN: 1697-4840,1697-9133
Publication Url: https://www.jmr.unican.es/index.php/jmr/article/view/656