Modelo Lean & Green para la mejora del desempeño operacional y ambiental en el proceso de faenamiento del camal frigorífico municipal de Ambato (CFMA)

Abstract

The objective of the research work is to design a Lean & Green model for the process of slaughtering cattle of the Camal Frigorífico Municipal de Ambato (CFMA), the presence of Lean Manufacturing waste can affect the consumption of resources and generation of environmental aspects. Through the literature, the convergence of Lean concepts and green paradigms is confirmed, specifically in the reduction of waste and resource consumption. The research work has a qualitative-quantitative approach, flowcharts, synoptic and analytical cursograms are made, in addition the measurement of the process times according to the General Electric table is developed, establishing preliminary samples with the use of a stopwatch using the zero turn method, to identify and analyze the current situation of the process. Based on the obtained data, the takt time, lead time is calculated to create the Value Stream Mapping (VSM). In addition, the waste identified are unnecessary movements, defects and waits, which influence the consumption of water and electricity, which are considered as Green waste. The Lean & Green model is integrated by the tools VSM, ACV (Life Cycle Analysis), 5S, KPIs, which allow the diagnosis, analysis and evaluation of the process. The results of the integration of both approaches allow to obtain improvements such as: reduction of the cycle time 26.86 minutes to 22.92 minutes, in addition the water consumption decreases from 2212.90 liters to 1749.36 liters of water per bovine and electric energy 1138.13 kWh per month to 978.86 kWh per month. It is concluded that analyzing the process through Lean & Green improves operational and environmental parameters using tools from both approaches simultaneously, however, depending on the situation of the company, its application requires standardized processes and resource consumption monitoring for each line of work.