Validation and verification of simulation models
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Guidelines for successful simluation studies (tutorial session)
WSC' 90 Proceedings of the 22nd conference on Winter simulation
A methodology for input data management in discrete event simulation projects
Proceedings of the 40th Conference on Winter Simulation
Simulation-based sustainable manufacturing system design
Proceedings of the 40th Conference on Winter Simulation
Environmental activity based cost using discrete event simulation
Proceedings of the Winter Simulation Conference
Evaluation of methods used for life-cycle assessments in discrete event simulation
Proceedings of the Winter Simulation Conference
An approach for increasing flexibility in green supply chains driven by simulation
Proceedings of the Winter Simulation Conference
Supply chain carbon footprint tradeoffs using simulation
Proceedings of the Winter Simulation Conference
Environmental activity based cost using discrete event simulation
Proceedings of the Winter Simulation Conference
| Hi-index | 0.00 |
Effective assessment and communication of the environmental footprint is increasingly important to process development and marketing purposes. Traditionally, static methods have been applied to analyze the environmental impact during a product's life cycle; however, they are unable to incorporate dynamic aspects of real world operations. This paper discusses a method using Discrete Event Simulation (DES) to analyze production systems and simultaneously enable labeling of products' environmental footprint. The method steps include data management, determination of environmental footprint, and communication of the results. The method is developed during a case study of a job-shop-production facility. To evaluate the DES method, the DES results were compared with the results of a Simplified Life Cycle Assessment (SLCA) conducted on the same production system. The case study demonstrates the possibility for the DES method to determine the variation between products in terms of the environmental footprint and highlights some of the difficulties involved.