Green lean method to identify ecological waste in a nectar factory

• Autores: Erquínigo, Andrei Bancovich, Porras, Jorge Ortiz, Saavedra, Harold Quintana, Chamorro, Paola Crispin, Alva, Rosiand Manrique, Carhuapuma, Pedro Vilca
• Formato: artículo
• Fecha de Publicación: 2023
• Institución: Universidad Peruana de Ciencias Aplicadas
• Repositorio: UPC-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorioacademico.upc.edu.pe:10757/669625
• Enlace del recurso: http://hdl.handle.net/10757/669625
• Nivel de acceso: acceso abierto
• Materia: Food production; Green Lean; Sustainable process; Waste identification

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.