Integrating models for calculating component sustainability metrics

Date published

2024-06-07

Free to read from

2024-09-06

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Cranfield University

Department

Type

Conference paper

ISSN

Format

Citation

Kirkwood L, Abu-Monshar A, Nornam B, et al., (2024) Integrating models for calculating component sustainability metrics. In: 12th International Conference on Through-life Engineering Services – TESConf2024, 6-7 June 2024, Cranfield, UK

Abstract

This paper reports on the development of models for calculating sustainability metrics at a per part level, developed for the LEAD factory project. While many organisations collect site level data for sustainability, there is a notable lack of support to calculate at a per part level. This scope difference requires different methods, but part level information can aid organisations in making production changes to achieve sustainability KPI’s. A cradle-to-gate approach was used that links raw-material, the transportation of materials and details on the production processes. To achieve this, a toolset of different models was designed and built to address key activities in the value-chain, to both support potentially independent analysis of just that value-chain link or the more complete cradle-to-gate analysis. Integration of model outputs and planning of information flow within the toolset is the primary focus of this paper.

This is part 1 of a 2 part paper: this paper focuses on how the models were integrated and the design of the wider toolset. Part 2 focuses on the benchmarking using the model-set and comparing the “JENI” system developed as part of the LEAD factory project.

Description

Software Description

Software Language

Github

Keywords

Sustainable manufacturing, supply chain, carbon-dioxide equivalent

DOI

10.57996/cran.ceres-2624

Rights

Attribution 4.0 International

Relationships

Relationships

Resources

Funder/s

Innovate UK
This work has been carried out as a part of the LEAD Project 2022-2024 funded by Innovate UK and was developed in collaboration with MTC (Manufacturing Technology Centre), Photocentric Ltd, Essentra PLC, Unipart Ltd, and Games Workshop PLC.