Back to Search
Start Over
Sustainable Manufacturing With Cyber-Physical Discrete Manufacturing Networks: Overview and Modeling Framework
- Source :
- Journal of Manufacturing Science and Engineering. 141
- Publication Year :
- 2018
- Publisher :
- ASME International, 2018.
-
Abstract
- Cyber-physical systems (CPS) enable unprecedented communication between product designers and manufacturers. Effective use of these technologies both enables and requires a new paradigm of methods and models to identify the most profitable and environmentally friendly production plans for a manufacturing network. The operating system for cyber-physical manufacturing (OSCM) and the paired network operations administration and monitoring (NOAM) software are introduced. These technologies guide our development of a mixed integer bilevel programming (BP) model that models the hierarchy between designers and manufacturers as a Stackelberg game while considering multiple objectives for each of them. Designers select and pay manufacturers, while manufacturers decide how to execute the order with the payment provided by the designer. To solve the model, a tailored solution method combining a decomposition-based approach with approximation of the lower level Pareto-optimal solution set is proposed. The model is applied to a case study based on a network of manufacturers in Wisconsin and Illinois. With the proposed model, designers and manufacturers alike can take full advantage of CPS to increase profits and decrease environmental impacts.
- Subjects :
- 0209 industrial biotechnology
Discrete manufacturing
Computer science
business.industry
Mechanical Engineering
Sustainable manufacturing
Computer programming
Cyber-physical system
02 engineering and technology
Industrial and Manufacturing Engineering
Manufacturing engineering
Computer Science Applications
020901 industrial engineering & automation
020401 chemical engineering
Control and Systems Engineering
Computer software
Sustainability
0204 chemical engineering
business
Subjects
Details
- ISSN :
- 15288935 and 10871357
- Volume :
- 141
- Database :
- OpenAIRE
- Journal :
- Journal of Manufacturing Science and Engineering
- Accession number :
- edsair.doi...........b46f3100a554b2d2065d178454c77d38