Negotiating and Sharing Capacities of Large Additive Manufacturing Networks
| Autor: | Falco, Massimo De, Mastrandrea, Nicola, Rarità, L., Alalawin, Abdallah Asan |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Industry 4.0 Operations research Computer science media_common.quotation_subject Additive Manufacturing Sharing Capacities 02 engineering and technology Operation Models Negotiation 020901 industrial engineering & automation Order (exchange) Transparency (graphic) Sustainability 0202 electrical engineering electronic engineering information engineering Production (economics) Optimization of networks 020201 artificial intelligence & image processing media_common Industry 4.0 Additive Manufacturing Sharing Capacities Operation Models Optimization of networks |
| Zdroj: | International Conference on Advances in Business and Law (ICABL); Vol. 1 No. 1 (2017): 1st International Conference on Advances In Business, Management, and Law (ICABML-2017); 440-466 |
| ISSN: | 2523-6547 |
| DOI: | 10.30585/icabml-cp.v1i1 |
| Popis: | This paper focuses on dynamics of productive and demanding nodes for Scattered Manufacturing Networks within 3D Printings contexts. The various nodes issue orders or sell production slots in order to achieve their own aims. An orchestrator coordinates the dynamics along the network according to principles of sustainability, equated shared resources and transparency by managing communication activities among nodes. In particular, suitable tradeoffs occur by a unique framework that, with the aim of optimizing the overall costs, suggests either logistics paths along the network or negotiation policies among nodes in order to reallocate resources. Numerical examples present the proposed approach. Keywords: Industry 4.0, Additive Manufacturing, Sharing Capacities, Operation Models, Optimization of networks JEL Codes: C02; O21 and P40 |
| Databáze: | OpenAIRE |
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