Title
Lean model to reduce picking time delays through Heijunka, Kanban, 5S and JIT in the construction sector
Date Issued
01 January 2020
Access level
open access
Resource Type
conference paper
Author(s)
Publisher(s)
Latin American and Caribbean Consortium of Engineering Institutions
Abstract
Delays in the time of preparation of orders in a warehouse of materials and construction tools affect delivery times, which affects the level of service and consequently the loss of customers. This, due to the waste in the existing system such as the lack of planning of the process inputs, inefficient procedures, lack of organization and total cleaning. Therefore, this document proposes the application of a Lean Model of picking based on Heijunka, Kanban, 5S and JIT techniques, to eliminate waste (time, movement and inventory). After proposing the improvements, support was made in a stochastic tool to validate the changes with respect to the current situation. Consequently, significant improvements were observed, particularly in the collector's load, reducing its load by 56.29%, eliminating the waiting times for requirements and increasing the orders served. This leads to the improvement of the productivity of the picking operation at 47.07%, resulting in timely deliveries.
Language
English
OCDE Knowledge area
Ingeniería de la construcción
Subjects
Scopus EID
2-s2.0-85096807870
Source
Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Resource of which it is part
Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
ISSN of the container
24146390
ISBN of the container
978-958520714-1
Conference
18th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Engineering, Integration, and Alliances for a Sustainable Development" "Hemispheric Cooperation for Competitiveness and Prosperity on a Knowledge-Based Economy", LACCEI 2020
Sources of information:
Directorio de Producción Científica
Scopus