ASSESSING LEAN AND GREEN COEXISTENCE, AN APPROACH BASED ON TRIZ AND DISCRETE EVENT SIMULATION TECHNIQUE

Authors

  • Fatima Ezzahra Essaber SyLPro team, National School of Applied Sciences of Marrakesh, Cadi Ayyad university, Marrakesh, Morocco
  • Rachid Benmoussa SyLPro team, National School of Applied Sciences of Marrakesh, Cadi Ayyad university, Marrakesh, Morocco
  • Roland De Guio ICube laboratory, National Institute of Applied Sciences of Strasbourg, Strasbourg, France
  • Fatima Zahra Ben Moussa SyLPro team, National School of Applied Sciences of Marrakesh, Cadi Ayyad university, Marrakesh, Morocco

DOI:

https://doi.org/10.23055/ijietap.2021.28.5.6703

Keywords:

Lean, Green, Lean and Green correlations, TRIZ, Generalized contradictions, Supply chain

Abstract

Nowadays, Lean supply chain managers are seeking Green implementation, which is no longer a choice but an obligation; to comply with government regulations about the environmental footprint, to preserve the image, and to satisfy customers. Although several research works have been conducted in the framework of Lean and Green, the relationship between both paradigms remains ambiguous at a conceptual level. The purpose of this research work is to provide managers and decision-makers with a formal, relevant, and generalizable approach that explicit how to accurately assess Lean and Green coexistence. We propose the approach based on the Theory of Inventive Problem Solving (TRIZ) and Discrete Event Simulation technique (DES). Integrating this technique amounts to its ability to describe complex systems and their performance. Besides, DES is time-saving, cost-saving, and labor-saving. An academic case study is presented in order to demonstrate the applicability of the proposed approach. The deployment of the approach revealed that Lean and Green aspects could be the antagonist. Indeed, thinking Green is not necessarily Lean and vice versa, which supports that Lean Green supply chain challenges may surpass classic optimization techniques and methods; hence, its management requires innovative approaches. In this setting, our findings highlight the importance of integrating TRIZ. The developed framework in this research work stands out for its simplicity, flexibility, and generalizability.

Author Biographies

Fatima Ezzahra Essaber, SyLPro team, National School of Applied Sciences of Marrakesh, Cadi Ayyad university, Marrakesh, Morocco

I am an Industrial and Logistics engineer (graduated in 2017). Currently, I am a PhD student in co-direction between the SyLPro team of the ENSA (National School of Applied Sciences) of Marrakech and the Icube laboratory of the INSA (National Institute of Applied Sciences) of Strasbourg. My scientific research focuses on both Lean and Green paradigms and the analysis of their correlation using TRIZ tools.

Rachid Benmoussa, SyLPro team, National School of Applied Sciences of Marrakesh, Cadi Ayyad university, Marrakesh, Morocco

Professor at the National School of Applied Sciences of Marrakesh, Cadi Ayyad University. He is a doctor of industrial engineering and SyLPro's team leader. His area of research and expertise including engineering of business processes, information systems, problem solving methods and sustainable development.

Roland De Guio, ICube laboratory, National Institute of Applied Sciences of Strasbourg, Strasbourg, France

Professor at the National Institute of Applied Sciences (I.N.S.A) of Strasbourg. He is a member of the board of ETRIA (European TRIZ Association). His area of research and expertise includes the dialectical resolution of technical and organizational problems of innovation, innovation engineering and the factory of the future.

Fatima Zahra Ben Moussa, SyLPro team, National School of Applied Sciences of Marrakesh, Cadi Ayyad university, Marrakesh, Morocco

PhD holder and Industrial and Logistics Engineer. Here doctoral thesis focused mainly on the applications of the TRIZ theory to the fields of green supply chain management.

Published

2022-01-04

How to Cite

Essaber, F. E., Benmoussa, R., De Guio, R., & Ben Moussa, F. Z. (2022). ASSESSING LEAN AND GREEN COEXISTENCE, AN APPROACH BASED ON TRIZ AND DISCRETE EVENT SIMULATION TECHNIQUE. International Journal of Industrial Engineering: Theory, Applications and Practice, 28(5). https://doi.org/10.23055/ijietap.2021.28.5.6703

Issue

Section

Supply Chain Management