Abstract
The fourth revolution currently envisioned for manufacturing is characterized by the interconnection of distributed manufacturing facilities and the provision of their services through cloud computing. Customers will be allowed to customize products in a make-to-order strategy and select among the available facilities and services. This paper addresses the integrated scheduling of customer orders for a multi-factory, make-to-order manufacturing environment. Distributed facilities are represented as autonomous agents that generate the schedule through goal-oriented negotiations. Scheduling agents are abstracted from facilities-related data, which are made available along with auxiliary scheduling tools in the cloud. In this way, the proposed scheduling provides a generic solution that generates efficient schedules flexibly.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhang, Q., Cheng, L., Boutaba, R.: Cloud computing: state-of-the-art and research challenges. J Internet Serv. Apdpl. 1, 7–18 (2010)
Ouelhadj, D., Petrovic, S.: Survey of dynamic scheduling in manufacturing systems. J. Sched. 12(4), 417–431 (2009)
Huang, B., Li, C., Yin, C., Zhao, X.: Cloud manufacturing service platform for small- and medium-sized enterprises. Int. J. Adv. Manuf. Technol. 65, 1261–1272 (2013)
Valilai, O., Houshmand, M.: A collaborative and integrated platform to support distributed manufacturing system using a service-oriented approach based on cloud computing paradigm. Robot. Comput. Integr. Manuf. 29, 110–127 (2013)
Guo, Z., Yang, C.: Development of production tracking and scheduling system: a cloud based architecture. In: International Conference on Cloud Computing and Big Data (2013)
Luo, H., Fang, J., Huang, G.: Real-time scheduling for hybrid flow shop in ubiquitous manufacturing environment. Comput. Ind. Eng. 84, 12–23 (2015)
Qu, T., Lei, S., Wang, Z., Nie, D., Chen, X., Huang, G.: IoT-based real-time production logistics synchronization system under smart cloud manufacturing. Int. J. Adv. Manuf. Technol. 1–18 (2015)
Zhang, Y., Huang, G., Sun, S., Yang, T.: Multi-agent based real-time production scheduling method for radio frequency identification enabled ubiquitous shop floor environment. Int. J. Comput. Ind. Eng. 76, 89–97 (2014)
Sun, X., Chung, S., Chan, F.: Integrated scheduling of a multi-product multi-factory manufacturing system with maritime transport limits. Transp. Res. Part E Logistics Transp. Rev. 79, 110–127 (2015)
Badr, I., Göhner, P.: An agent-based approach for scheduling under consideration of the influencing factors in FMS. In: The 35th Annual Conference of the IEEE Industrial Electronics Society (IECON-09). Porto, Portugal (2009)
Badr, I.: Agent-based dynamic scheduling for flexible manufacturing systems. Dissertation Thesis (2010)
Badr, I., Göhner, P.: Incorporating GA-based optimization into a multi-agent architecture for FMS scheduling. In: the 10th IFAC Workshop on Intelligent Manufacturing Systems. Lisbon, Portugal (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Badr, I. (2016). Integrated Scheduling for Make-to-Order Multi-factory Manufacturing: An Agent-Based Cloud-Assisted Approach. In: Borangiu, T., Trentesaux, D., Thomas, A., McFarlane, D. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing. Studies in Computational Intelligence, vol 640. Springer, Cham. https://doi.org/10.1007/978-3-319-30337-6_25
Download citation
DOI: https://doi.org/10.1007/978-3-319-30337-6_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-30335-2
Online ISBN: 978-3-319-30337-6
eBook Packages: EngineeringEngineering (R0)