Environmental performance evaluation under a green supply chain approach
Among the environmental management approaches, the concept of Green Supply Chain Management (GSCM) has become one of the most important in recent years. The GSCM approach addresses all processes and activities that make up the supply chain echelons (procurement, manufacturing and delivery), also inc...
- Autores:
-
Sarache Castro, William Ariel
Costa Salas, Yasel José
Martínez Giraldo, Jhully Paulin
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2015
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/60784
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/60784
http://bdigital.unal.edu.co/59116/
- Palabra clave:
- 62 Ingeniería y operaciones afines / Engineering
green supply chain management
environmental performance
manufacturing companies.
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
Summary: | Among the environmental management approaches, the concept of Green Supply Chain Management (GSCM) has become one of the most important in recent years. The GSCM approach addresses all processes and activities that make up the supply chain echelons (procurement, manufacturing and delivery), also including design, purchasing, marketing and reverse logistics. Although the literature review identified the existence of a variety of environmental performance indicators framed the Pressure-State-Response approach, indicators applied under the GSCM approach were not found. Therefore, this paper presents a methodology for the construction of a multicriteria indicator to measure the environmental performance under the GSCM approach, based on 8 processes and 32 activities identified from the literature review. The indicator was applied in a group of 14 companies in the coffee region of Colombia. The results indicate a heterogeneous performance among the companies and a significant lag in some of the analyzed processes. |
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