TY - GEN
T1 - Generation of Multi-factory Production Plans: Enabling Collaborative Lot-size-one Production
AU - Dhungana, Deepak
AU - Haselböck, Alois
AU - Wallner, Stefan
N1 - Funding Information:
ACKNOWLEDGMENTS This work has been partially funded by the Austrian Research Promotion Agency (FFG) under the project grants 852105 (Pilotfabrik Industrie 4.0 - Smart Production), 861798 (LIT Factory) and 861800 (smartfactory@tugraz).
Publisher Copyright:
© 2020 IEEE.
PY - 2020/8/28
Y1 - 2020/8/28
N2 - It is getting increasingly difficult for factories to provide the required flexibility to support lot-size-one production orders. Therefore, collaboration is especially important for manufacturing companies to ensure that they do not lose manufacturing contracts because they can only partially fulfill the requirements of their customers. This paper presents an approach for generating production plans across multiple factories, so that the production requirements for a given product can be met through collaboration with other factories. We describe two variants of an algorithm for computing multi-factory production plans based on constraint satisfaction. The approach makes inter-company logistics transparent to the product designer/seller - by managing the division of tasks, transportation between the factories, and resolving dependencies among the participating manufacturers in the network. We have designed an ecosystem management platform that will consider the product, its required quality, quantities, delivery dates, certification, logistics requirements etc. to automatically generate diverse production offers.
AB - It is getting increasingly difficult for factories to provide the required flexibility to support lot-size-one production orders. Therefore, collaboration is especially important for manufacturing companies to ensure that they do not lose manufacturing contracts because they can only partially fulfill the requirements of their customers. This paper presents an approach for generating production plans across multiple factories, so that the production requirements for a given product can be met through collaboration with other factories. We describe two variants of an algorithm for computing multi-factory production plans based on constraint satisfaction. The approach makes inter-company logistics transparent to the product designer/seller - by managing the division of tasks, transportation between the factories, and resolving dependencies among the participating manufacturers in the network. We have designed an ecosystem management platform that will consider the product, its required quality, quantities, delivery dates, certification, logistics requirements etc. to automatically generate diverse production offers.
KW - Application programs
KW - Manufacture
KW - Planning
KW - Constraint Satisfaction
KW - Ecosystem management
KW - Manufacturing companies
KW - Multiple factories
KW - Product designers
KW - Production order
KW - Production plans
KW - Production requirements
KW - Production control
KW - Manufacturing Ecosystems
KW - Factory as a Service
KW - Cloud Manufacturing
KW - Industrie 4.0
UR - http://www.scopus.com/inward/record.url?scp=85096568538&partnerID=8YFLogxK
U2 - 10.1109/SEAA51224.2020.00088
DO - 10.1109/SEAA51224.2020.00088
M3 - Conference contribution
SN - 9781728195322
T3 - Proceedings - 46th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2020
SP - 529
EP - 536
BT - Proceedings - 46th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2020
PB - IEEE
ER -