Sustainability in Public Universities through lean evaluation and future improvement for administrative processes

Eduardo de Souza Lima, Ualison Rébula de Oliveira, Márcio de Carvalho Costa, Vicente Aprigliano Fernandes, Pítias Teodoro

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

The positive results of manufacturing companies adopting lean production practices certainly impacted the adaptation of Lean Manufacturing principles to the service sector, culminating in what we know today as Lean Office. Based on this approach, many Universities have adopted lean principles and practices to improve their administrative processes and thus add value to their students, faculty and staff. From this perspective, but going further, the present research has the general objective of raising the main sustainable impacts generated by a University through the application of Lean Office in its administrative processes. Methodologically, the research is supported by a case study at a Federal Public University in Brazil, where two service processes will be analyzed, one aimed at students and the other at employees (teachers and technicians). The work is conducted according to the phases and steps recommended by the LEFI Method (Lean Evaluation and Future Improvement), with a significant part of the results obtained by the steps related to Value Stream Mapping. As the main results, it is observed that the elimination of waste in administrative processes at the University target of the present study culminated, only in the year 2021, in the saving of 444,754 sheets of printed paper that, due to all its consequences, indirectly impacted the economy of 1,380,000 L of water, in the non-emission of 43.82 kg of CO2 and the preservation of 67 trees.

Original languageEnglish
Article number135318
JournalJournal of Cleaner Production
Volume382
DOIs
StatePublished - 1 Jan 2023

Keywords

  • Higher education
  • Lean evaluation and future improvement
  • Lean office
  • Sustainability
  • Universities
  • Value stream mapping

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