Implementing Digital Twins of Smart Factories with Interval Algebra

Piotr Dziurzanski; Jerry Swan; Leandro Soares Indrusiak; Jose Ramos

Implementing Digital Twins of Smart Factories with Interval Algebra

Piotr Dziurzanski, Jerry Swan, Leandro Soares Indrusiak, Jose Ramos

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

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.

Original language	English
Title of host publication	IEEE International Conference on Industrial Technology
Number of pages	8
Publication status	Accepted/In press - 15 Nov 2018
Event	IEEE International Conference on Industrial Technology - Melbourne, Australia Duration: 13 Feb 2019 → 15 Feb 2019 Conference number: 20 http://www.ieee-icit2019.org/

Conference

Conference	IEEE International Conference on Industrial Technology
Abbreviated title	ICIT
Country/Territory	Australia
City	Melbourne
Period	13/02/19 → 15/02/19
Internet address	http://www.ieee-icit2019.org/

Keywords

resource allocation
smart factory
digital twin
interval algebra

Access to Document

implementing-digital-twins

Cite this

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title = "Implementing Digital Twins of Smart Factories with Interval Algebra",

abstract = "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.",

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AU - Swan, Jerry

AU - Soares Indrusiak, Leandro

AU - Ramos, Jose

N1 - Conference code: 20

PY - 2018/11/15

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N2 - 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.

AB - 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.

KW - resource allocation

KW - smart factory

KW - digital twin

KW - interval algebra

M3 - Chapter

BT - IEEE International Conference on Industrial Technology

T2 - IEEE International Conference on Industrial Technology

Y2 - 13 February 2019 through 15 February 2019

ER -