Identification of the Right Environmental KPIs for Manufacturing Operations:Towards a Continuous Sustainability Framework

Sustainable manufacturing has grown into a major subject of discussion between individuals and organisations around the world. This is attributed to the recognition of the urgency in advancing sustainable manufacturing due to the diminishing non-renewable resources, stricter regulations related to environmental impacts and the increasing consumer preference for environmental-friendly products. However, manufacturing companies have been confronted with a decision on which KPIs to select for appraising their processes, and how they should interpret these KPIs in transforming their processes towards a sustainable future. This paper presents a structured framework for the manufacturing industries to identify the right environmental KPIs. It includes building a database for environmental KPIs, categorising, ranking, and composing a final KPI set for specified targets. The developed method allows for the selection of the most effective KPI in representing a specified target as well as identifying unmonitored environmental aspects. The framework has been corroborated by subject matter and industry experts in which the potential benefits have been verified

Identification of the right environmental KPIs for manufacturing operations: towards a continuous sustainability framework

Sustainable manufacturing has grown into a major subject of discussion between individuals and organisations around the world. This is attributed to the recognition of the urgency in advancing sustainable manufacturing due to the diminishing non-renewable resources, stricter regulations related to environmental impacts and the increasing consumer preference for environmental-friendly products. However, manufacturing companies have been confronted with a decision on which KPIs to select for appraising their processes, and how they should interpret these KPIs in transforming their processes towards a sustainable future. This paper presents a structured framework for the manufacturing industries to identify the right environmental KPIs. It includes building a database for environmental KPIs, categorising, ranking, and composing a final KPI set for specified targets. The developed method allows for the selection of the most effective KPI in representing a specified target as well as identifying unmonitored environmental aspects. The framework has been corroborated by subject matter and industry experts in which the potential benefits have been verified.Engineering and Physical Sciences Research Council (EPSRC): EP/V054627/

Efecto de la manufactura esbelta, seis sigma y cadena de suministro en la sostenibilidad de maquiladoras mexicanas

La memoria de esta tesis se presenta en la modalidad de compendio de trabajos publicados en revistas científicas internacionales con revisión por pares e indexadas en Journal Citations Reports (JCR). Los trabajos publicados se indican a continuación:Artículo 1. García-Alcaraz, J. L., Montalvo, F. J. F., Avelar-Sosa, L., Pérez de la Parte, M. M., Blanco-Fernández, J., & Jiménez-Macías, E. (2020). The importance of access to information and knowledge coordination on quality and economic benefits obtained from Six Sigma. Wireless Networks, 26(8), 5713-5726. doi:10.1007/s11276-019-02180-7. Indexada en SCIE del Web of Sciences, siendo Q2 o Q3, según la categoría en la que sea analizada, con IF de 2.602 y con JIF de 53.66.Artículo 2. García-Alcaraz, J. L., Martínez-Hernández, F. A., Olguín-Tiznado, J. E. O., Realyvasquez-Vargas, A., Jiménez Macías, E., & Javierre-Lardies, C. (2021). Effect of quality lean manufacturing tools on commercial benefits gained by Mexican maquiladoras. Mathematics, 9(9). doi:10.3390/math9090971. Indexada en SCIE del Web of Sciences, siendo Q1 en la categoría de Matemathics (24/330) en el JCR 2020, con IF de 2.258 y con JIF de 92.88.Artículo 3. García-Alcaraz, J.L., Díaz Reza, J.R., Sánchez Ramírez, C., Limón Romero, J., Jiménez Macías, E., Lardies, C. J., & Rodríguez Medina, M. A. (2021). Lean manufacturing tools applied to material flow and their impact on economic sustainability. Sustainability (Switzerland), 13(19). doi:10.3390/su131910599. Indexada en SCIE del Web of Sciences, siendo Q2 o Q3 según la categoría en la que se analice en el JCR 2020, con un IF de 3.251.Artículo 4. García-Alcaraz, J. L., Díaz-Reza, J. R., Flor Montalvo, F. J., Jiménez-Macías, E., Blanco-Fernández, J., & Javierre Lardies, C. F. (2021). Effects of information sharing, decision synchronization and goal congruence on SC performance. Computers & Industrial Engineering, 162, 107744. doi:https://doi.org/10.1016/j.cie.2021.107744. Indexada en SCIE del Web of Sciences, siendo Q1 o Q2 según la categoría en la que se analice en el JCR 2020, con un IF de 5.431.<br /