
Supply Chain System Model of Components for Assembly Lines Based on Kanban and Milk Run Methodologies
Author(s) -
Victor Hugo Oliveira Dos Santos,
Marcelo Albuquerque de Oliveira,
Gabriela de Mattos Veroneze
Publication year - 2021
Publication title -
european journal of engineering and technology research
Language(s) - English
Resource type - Journals
ISSN - 2736-576X
DOI - 10.24018/ejeng.2021.6.6.2569
Subject(s) - kanban , factory (object oriented programming) , lean manufacturing , manufacturing engineering , supply chain , production line , electronics , assembly line , production (economics) , computer science , focus (optics) , business , operations management , process management , engineering , marketing , control (management) , mechanical engineering , electrical engineering , physics , optics , artificial intelligence , economics , macroeconomics , programming language
Seeking to optimize the raw material supply for the assembly lines in many industries, the following case study, starting with a direct observation of a motorcycle factory and an electronics assembly factory, based on a rich theoretical analysis of the Lean wastes, describe the factories present processes and focus on developing a fast, feasible and low cost solution, gathering concepts of Kanban and Milk Run methodologies, resulting in a proposal of a system of real time management of the production status, allowing a better organization for the logistics teams of the named companies.