This paper presents an interval algebra that can be used to create an analytic description of a smart factory. Such a description (recently termed a `digital twin' of the factory) is used to evaluate alternative manufacturing configurations as part of a search-based optimisation process. Several extensions are proposed to the interval algebra for specifying smart factory production line details. A number of real-life manufacturing scenarios are described, related to Wire-cut Electrical Discharge Machining. The experimental results show the applicability and scalability of the proposed method.
Download Not Available

BibTex Entry

@inbook{Dziurzanski_2018c,
 author = {Piotr Dziurzanski and Jerry Swan and {Soares Indrusiak}, Leandro and Jose Ramos},
 booktitle = {IEEE International Conference on Industrial Technology},
 day = {15},
 keywords = {resource allocation, smart factory, digital twin, interval algebra},
 language = {English},
 month = {11},
 pure_url = {https://pure.york.ac.uk/portal/en/publications/implementing-digital-twins-of-smart-factories-with-interval-algebra(84dfde89-2af9-41de-85ec-f823e5773a71).html},
 title = {Implementing Digital Twins of Smart Factories with Interval Algebra},
 year = {2018}
}