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Business Process Model Re-Design with A Data-Based Green Lean Management Approach with OEEM: A Case of Plastic Product Manufacturing Firm

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Authors
Calderon, Joe
Cuellar, Mirco
Yildiz, Orkun
Aranda, Duilio
Alvarez, José C.
Issue Date
2025-03-01
Keywords
Business data analytics
Green business process model
Lean management
Overall Equipment Effectiveness Method (OEEM)
Sustainability

Metadata
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Publisher
Seventh Sense Research Group
Journal
International Journal of Engineering Trends and Technology
URI
http://hdl.handle.net/10757/684709
DOI
https://doi.org/10.14445/22315381/IJETT-V73I3P122
Abstract
This study addresses the growing need for sustainable practices in the manufacturing industry, driven by increased awareness of environmental impacts and regulatory pressure to reduce emissions. It explores the application of the Overall Equipment Effectiveness Method (OEEM) within the framework of Green Lean Management, emphasizing a data-driven approach to sustainable business process optimization. Despite the rising interest in OEEM, research on its implementation remains scarce, particularly regarding the barriers hindering its adoption. This article identifies and categorizes these barriers through a literature review and principal component analysis using a case study from the plastic manufacturing sector. The findings demonstrate how strategic OEEM implementation, supported by Lean Management tools (5S, TPM, SMED), can enhance machine efficiency, as evidenced by a 7.72% increase in availability and a 7.51% improvement in performance. The reduction in setup times from 248 to 117.5 minutes further underscores the effectiveness of this approach. This research provides critical insights for policymakers and industry leaders, promoting the adoption of OEEM to align economic development with environmental sustainability.
Type
info:eu-repo/semantics/article
Rights
info:eu-repo/semantics/restrictedAccess
Language
eng
ISSN
23490918
EISSN
22315381
ae974a485f413a2113503eed53cd6c53
https://doi.org/10.14445/22315381/IJETT-V73I3P122
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Seccion en procesamiento

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