Abstract
This paper presents how to model and implement
green planning approaches in manufacturing environments using
Advanced Planning and Scheduling (APS) technology. The paper
takes a starting point in a case study aiming to bring forward
environmental impacts as a decision factor in production
planning and control by enabling companies to pick a plan where
environmental impact factors are integrated in the planning
environment. The companies involved in the project are two
Danish process industries and manufacturer of mass customized
products. Based on extensive data collection and developed
simulation models, new methods of optimizing resources in the
manufacturing are tested including factors such as machine
allocation, batch sizes, sequences, and product mix. The tree
main factors in assessing the environmental impact have been
waste, energy, and emission. The latter has been calculated based
on energy consumption and the type of energy source. Especially
the need to involve human decision making to obtain a
satisfactory plan, points towards Cogninive Infocommunication,
mainly due to the complex nature of the production and supply
chain planning that have proven difficult to model.
green planning approaches in manufacturing environments using
Advanced Planning and Scheduling (APS) technology. The paper
takes a starting point in a case study aiming to bring forward
environmental impacts as a decision factor in production
planning and control by enabling companies to pick a plan where
environmental impact factors are integrated in the planning
environment. The companies involved in the project are two
Danish process industries and manufacturer of mass customized
products. Based on extensive data collection and developed
simulation models, new methods of optimizing resources in the
manufacturing are tested including factors such as machine
allocation, batch sizes, sequences, and product mix. The tree
main factors in assessing the environmental impact have been
waste, energy, and emission. The latter has been calculated based
on energy consumption and the type of energy source. Especially
the need to involve human decision making to obtain a
satisfactory plan, points towards Cogninive Infocommunication,
mainly due to the complex nature of the production and supply
chain planning that have proven difficult to model.
| Originalsprog | Engelsk |
|---|---|
| Titel | 10th IEEE International Conference on Cognitive Infocommunications – CogInfoCom 2019, Proceedings |
| Antal sider | 6 |
| Forlag | IEEE |
| Publikationsdato | 2019 |
| Sider | 181-186 |
| Artikelnummer | 9089996 |
| ISBN (Elektronisk) | 978-1-7281-4793-2 |
| DOI | |
| Status | Udgivet - 2019 |
| Udgivet eksternt | Ja |
| Navn | IEEE International Conference on Cognitive Infocommunications (CogInfoCom) |
|---|---|
| ISSN | 2380-7350 |
Citationsformater
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver