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

Joe Calderon, Mirco Cuellar, Orkun Yildiz, Duilio Aranda, José C. Alvarez

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

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.

Original languageEnglish
Pages (from-to)289-314
Number of pages26
JournalInternational Journal of Engineering Trends and Technology
Volume73
Issue number3
DOIs
StatePublished - Mar 2025

Keywords

  • Business data analytics
  • Green business process model
  • Lean management
  • Overall Equipment Effectiveness Method (OEEM)
  • Sustainability

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