4.6 Article

Identification of Waste Based on Lean Principles as the Way towards Sustainability of a Higher Education Institution: A Case Study from Indonesia

Journal

SUSTAINABILITY
Volume 14, Issue 7, Pages -

Publisher

MDPI
DOI: 10.3390/su14074348

Keywords

lean principles; HEIs; waste management; w-FMEA; ISM-MICMAC

Funding

  1. Widya Mandala Surabaya Catholic University [005a/WM01.5/N/2021, 1338/WM01/T/2022]

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This study examines waste modes in higher education institutions (HEIs) using lean principles and explores their potential impact on sustainability. The results identify eighteen critical waste modes in HEIs, with six of them being autonomous determinants. This study contributes to the understanding of waste types and their interrelationships in HEIs, as well as proposing mitigation actions for improvement.
Lean management has generated new approaches to reduce non-value-adding activities in different sectors of the economy, including in higher education systems. Lean principles in higher education institutions (HEIs) contribute positively to sustainability performance. The current study aims to: (a) assess waste in HEIs based on lean principles and even their potential effect on sustainability; (b) establish the relationship among wastes; (c) develop a structural model using Interpretative Structural Modeling (ISM); (d) carry out the Matrice d'impacts Croises Multiplication Applique Aun Classement (MICMAC) analysis. In Phase 1 of this study, the identification of waste modes in HEIs was established. In Phase 2, risk assessment of each waste mode was conducted using the waste-Failure Mode and Effect Analysis (w-FMEA) technique. In Phase 3, ISM-MICMAC was used to identify relationships among critical waste modes. The results showed that eighteen waste modes were identified as critical in HEIs-with six waste modes being autonomous determinants; four were dependent determinants, four were linkage determinants, and four were driver determinants. This study is expected to help academicians and practitioners understand HEI's waste types by listing the critical wastes, mapping their interrelationship, identifying the driving power and dependence, and proposing mitigation actions. It will also contribute to the growing body of literature highlighting the waste in HEIs.

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