Green lean method to identify ecological waste in a nectar factory

IF 1.3 Q3 ENGINEERING, MULTIDISCIPLINARY

International Journal of Production Management and Engineering Pub Date : 2023-07-31 DOI:10.4995/ijpme.2023.19598

Andrei Bancovich Erquínigo, Jorge Ortiz Porras, Harold Quintana Saavedra, Paola Crispin Chamorro, Rosiand Manrique Alva, Pedro Vilca Carhuapuma

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Abstract

Nowadays, the waste of resources has become one of the biggest problems for industries, due to the serious environmental, social and economic consequences it generates. Therefore, to ensure a production based on sustainable processes, it’s essential to have a responsible management of resources, being the first step one of the most important ones, the identification. Thus, the present research work aims to develop and implement a method based on the integration of Green and Lean methodologies to systematically identify ecological waste, taking as a case study a nectar factory in Lima - Peru. Through the implementation of tools such as Environmental Value Stream Mapping, Process Mapping or Failure Mode and Effects Analysis, it was found that the company generated a waste of 1584 litres of water and 38.5 kg of conditioned fruit every month. The identification of green waste is vital, as it is the first link in a long chain that contributes directly to improving the company's efficiency, profitability and reputation, as well as protecting the environment and promoting sustainable development.

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用绿色精益法识别花蜜工厂中的生态废物

如今，资源浪费已成为各行各业面临的最大问题之一，因为它会造成严重的环境、社会和经济后果。因此，要确保生产过程的可持续发展，就必须对资源进行负责任的管理，而第一步就是对资源进行识别。因此，本研究工作旨在开发和实施一种基于绿色和精益方法整合的方法，以秘鲁利马的一家花蜜工厂为例，系统地识别生态废物。通过实施环境价值流图、流程图或失效模式和影响分析等工具，发现该公司每月产生 1584 升水和 38.5 千克冷冻水果的浪费。识别绿色废物至关重要，因为它是一长串链条中的第一个环节，直接有助于提高公司的效率、盈利能力和声誉，以及保护环境和促进可持续发展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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