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Monitoring and Evaluating Eco-efficiency by Three Different Ways in a Beverage Company: A Lean-Green Approach

Authors: Thamiris Linhares Marques; Gabriela Giusti; Marina Hernandes de Paula e Silva; Juliana Veiga Mendes; Maria Cléa Brito de Figueirêdo; Diogo Aparecido Lopes Silva;

Monitoring and Evaluating Eco-efficiency by Three Different Ways in a Beverage Company: A Lean-Green Approach

Abstract

ABSTRACT Would it be possible to improve lean performance and at the same time minimize water scarcity footprint (WSF) impact in manufacturing? The purpose of this paper is to propose and test an integrated lean–green approach for eco-efficiency monitoring in manufacturing companies. This approach starts with the application of value stream mapping as a lean manufacturing tool, followed by a green manufacturing perspective based on a WSF assessment. Lastly, eco-efficiency indicators were calculated based on previous steps measurements. This lean–green approach was applied in a Brazilian beverage industry. Three eco-efficiency indicators were simulated: (1) considering Overall Equipment Effectiveness (OEE) divided by WSF results in the company shop floor, (2) value aggregation rate (%V/A) per WSF, and (3) production volume per WSF. The future scenario leads to an increase of 22 %, 38 %, and 2.5% in the eco-efficiency indicators based on OEE, %V/A, and product volume, respectively. Scenario 2 was the more appropriate one to be used in the company because %V/A best fits the changes suggested to improve the value stream at the company level. The suggested lean–green approach can add new knowledge to the lean–green research field, and the application of this can help other companies to improve their environmental responsibilities at business while remaining profitable.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average