lean and green
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Author(s):  
Marilia de Oliveira Rezende ◽  
Marcella Ruschi Mendes Saade ◽  
Andréa Oliveira Nunes ◽  
Vanessa Gomes da Silva ◽  
Virgínia Aparecida Silva Moris ◽  
...  

2021 ◽  
Author(s):  
J.P. Rishi

The manufacturing SMEs are facing the burden of non-equilibrium of the supply–demand chain along with the global change in the climate. Several SMEs are looking for a substitute that can create a balance between performance and the environment. In spite of numerous studies related to green and lean that has been evolved, none of them is able to clearly define the spheres of green and lean. Here in this chapter, there is an exploration of advancement of lean and green manufacturing and its impact on other sectors. It also highlights the methodology adopted in implementing the same. This chapter recognizes the commonalities between lean and green approaches, the collaboration and impact, techniques involved. Also, the impediments and perplexities confronted by the manufacturing sector are examined. Further, this gives a better understanding of the challenges before implementing lean with green. This chapter also recognizes possible gaps in the literature that will help to eliminate the barrier toward this Neo manufacturing.


2021 ◽  
pp. 111-121
Author(s):  
Sarita Prasad ◽  
A. Neelakanteswara Rao ◽  
Krishnanand Lanka

Author(s):  
Kamar Zekhnini ◽  
Anass Cherrafi ◽  
Imane Bouhaddou ◽  
Abla Chaouni Benabdellah ◽  
Surajit Bag

2021 ◽  
pp. 141-155
Author(s):  
Snigdha Malhotra ◽  
Tilottama Singh ◽  
Deepali Ratra

2021 ◽  
pp. 129047
Author(s):  
P. Teixeira ◽  
J.C. Sá ◽  
F.J.G. Silva ◽  
L.P. Ferreira ◽  
G. Santos ◽  
...  

2021 ◽  
Vol 13 (15) ◽  
pp. 8492
Author(s):  
Fatima Ezzahra Essaber ◽  
Rachid Benmoussa ◽  
Roland De Guio ◽  
Sébastien Dubois

The purpose of this research work is to provide supply chain managers with a formal and generalizable approach that furnishes accurate guidelines to achieve a 2D performance integrating both Lean and Green. Despite the fact that several research works have been conducted in the framework of Lean and Green, at a conceptual level, the relationship between both paradigms is still ambiguous. Furthermore, the literature revealed a lack of relevant and generalizable approaches that explicitly demonstrate how to successfully implement Lean and Green in a relevant and integrated way. Since risks are the main obstacles disrupting performance, this research work addresses the identified gap by proposing a risk management approach (RMA) for Lean Green performance in a supply-chain context. Risk cannot be managed if not well-identified; hence, a rigorous literature investigation was conducted to define this concept in a supply-chain context. Later, risk was introduced into Lean and Green aspects. Subsequently, through a comprehensive review of previous risk identification studies, a novel classification of supply chain risks in a Lean Green context was provided. At a corporate level, risks often include several sources that cannot be treated at once. Therefore, a risk assessment analysis was performed, employing an analytic hierarchy process for its ease of use and broad adaptability. The output of this analysis provides visibility for an organization’s position toward performance goals and underlines crucial risks to be addressed. The risk treatment process was upgraded in this approach to a detailed analysis that aims at investigating the root causes behind the prioritized risks. Deployment of the approach on a corporate level revealed that treating a risk may negatively affect treating another. Indeed, thinking Lean is not necessarily Green, which stands with the fact that Lean Green supply chain challenges may outstrip classic optimization methods and techniques; therefore, its management requires innovative approaches. Thereby, our findings support the applicability and efficiency of the Theory of Inventive Problem Solving (TRIZ) in this setting. Although the case study focused on a specific company, the developed framework can be customized to fit different cases.


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