Resumé
The reduction of waste is a concept companies adopt in order to enhance their friendliness versus the environment and to contribute to sustainability. Constraints on lifetimes of products force organizations to carefully plan their production in cooperation with their supply chain partners in order to prevent decreased quality or waste of production parts and products. This gains importance because waiting times imply longer lead times charging the production system with work in process inventories. Longer lead times can lead to quality losses due to depreciation, so that parts need to be reworked if possible or discarded. But return flows of products for rework or remanufacturing actions significantly complicate the production planning process. We analyze sustainability options with respect to lead time management by formulating a comprehensive mathematical model. We consider a deterministic, mixed-integer programming model to highlight main characteristics of sustainability options and to derive managerial insights for production planning in the light of sustainability.
| Originalsprog | Engelsk |
|---|---|
| Titel | Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence |
| Antal sider | 8 |
| Forlag | IEEE Press |
| Publikationsdato | 2016 |
| ISBN (Trykt) | 978-1-5090-4241-8 |
| ISBN (Elektronisk) | 978-1-5090-4240-1 |
| DOI | |
| Status | Udgivet - 2016 |
| Begivenhed | 2016 IEEE Symposium on Computational Intelligence - Varighed: 6. dec. 2016 → 9. dec. 2016 http://ssci2016.cs.surrey.ac.uk/ |
Konference
| Konference | 2016 IEEE Symposium on Computational Intelligence |
|---|---|
| Periode | 06/12/2016 → 09/12/2016 |
| Internetadresse |
Fingeraftryk
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Load Dependent Lead Times and Sustainability. / Pahl, Julia; Voss, Stefan.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence. IEEE Press, 2016.Publikation: Bidrag til bog/antologi/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review
TY - GEN
T1 - Load Dependent Lead Times and Sustainability
AU - Pahl, Julia
AU - Voss, Stefan
PY - 2016
Y1 - 2016
N2 - The reduction of waste is a concept companies adopt in order to enhance their friendliness versus the environment and to contribute to sustainability. Constraints on lifetimes of products force organizations to carefully plan their production in cooperation with their supply chain partners in order to prevent decreased quality or waste of production parts and products. This gains importance because waiting times imply longer lead times charging the production system with work in process inventories. Longer lead times can lead to quality losses due to depreciation, so that parts need to be reworked if possible or discarded. But return flows of products for rework or remanufacturing actions significantly complicate the production planning process. We analyze sustainability options with respect to lead time management by formulating a comprehensive mathematical model. We consider a deterministic, mixed-integer programming model to highlight main characteristics of sustainability options and to derive managerial insights for production planning in the light of sustainability.
AB - The reduction of waste is a concept companies adopt in order to enhance their friendliness versus the environment and to contribute to sustainability. Constraints on lifetimes of products force organizations to carefully plan their production in cooperation with their supply chain partners in order to prevent decreased quality or waste of production parts and products. This gains importance because waiting times imply longer lead times charging the production system with work in process inventories. Longer lead times can lead to quality losses due to depreciation, so that parts need to be reworked if possible or discarded. But return flows of products for rework or remanufacturing actions significantly complicate the production planning process. We analyze sustainability options with respect to lead time management by formulating a comprehensive mathematical model. We consider a deterministic, mixed-integer programming model to highlight main characteristics of sustainability options and to derive managerial insights for production planning in the light of sustainability.
U2 - 10.1109/SSCI.2016.7850057
DO - 10.1109/SSCI.2016.7850057
M3 - Article in proceedings
AN - SCOPUS:85016025020
SN - 978-1-5090-4241-8
BT - Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence
PB - IEEE Press
ER -