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Production Model Under Lean Manufacturing and Change Awareness Approaches to Reduce Order Delays at Small and Medium-Sized Enterprises from the Clothing Sector in Peru

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Authors
León-Guizado, Sheyene
Castro-Hucharo, Anthony
Chavez-Soriano, Pedro
Raymundo, Carlos
Issue Date
2021-01-01
Keywords
Awareness
Change management
Efficiency
Lean manufacturing
Production model
Agile manufacturing systems
Enterprise resource planning
Lean production
Plant layout
Telecommunication services
Textile industry
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Metadata
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Journal
Smart Innovation, Systems and Technologies
URI
http://hdl.handle.net/10757/653782
DOI
10.1007/978-3-030-57548-9_36
Additional Links
https://www.scopus.com/record/display.uri?eid=2-s2.0-85098185118&doi=10.1007%2f978-3-030-57548-9_36&origin=inward&txGid=b5ee75b10076f415d9ebd578c1034547
Abstract
This study proposes a production model that increases the manufacturing capacity in a small and medium-sized enterprise (SME) of garments with an aim to reduce the nonfulfillment of order deliveries. An assessment has been done and waiting times between production processes have been identified, along with defective products and inefficient work methods. This study proposes the design of a lean manufacturing model under the change management approach, whose methodology comprises five phases. In phase 0, awareness and training sessions are conducted (change management). Then, phase 1 reorganizes the work area (plant layout re-distribution and 5S) and phase 2 seeks better workload balances (line balance and Heijunka implementation). Later, phase 3 standardizes work methods (standardization). Finally, the proposed model will be validated to determine whether the selected operating tools are supported by the awareness that contributes to increasing production. © 2021, Springer Nature Switzerland AG.
Type
info:eu-repo/semantics/article
Rights
info:eu-repo/semantics/openAccess
Language
eng
Description
El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
ISSN
21903018
EISSN
21903026
ae974a485f413a2113503eed53cd6c53
10.1007/978-3-030-57548-9_36
Scopus Count
Collections
Ingeniería Industrial

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