Order-Preserving Languages for the Supervisory Control of Automated Manufacturing Systems
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Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
Ieee-inst Electrical Electronics Engineers inc
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
4
OpenAIRE Views
8
Publicly Funded
No
Abstract
Automated manufacturing systems (AMSs) consist of computer-controlled interconnected manufacturing components (MCs) that are used to transport and process different product types. Each product type requires a certain sequence of processing steps in different MCs. Hereby, multiple product types can share processing steps on the same MC and the paths of different products types can overlap. In this paper we consider the modeling of AMSs in the scope of supervisory control for discrete event systems (DES). On the one hand, a suitable AMS model must allow the representation of sequential and concurrent processing steps in MCs. On the other hand, such model must be able to track different product types traveling through the AMS so as to process the products correctly. While previous work is commonly concerned with the first requirement, this paper identifies that the existing literature lacks a general treatment of the second requirement. Accordingly, we first introduce order-preserving (OP) languages that preserve the order of different product types in MCs and we propose a suitable finite state automaton model for OP languages. Then, we show that the composition of OP languages again leads to an OP language. That is, modeling MCs by OP languages, an OP model of a complete AMS that is suitable for supervisory control is obtained. In addition, it is possible to use both OP models and non-OP models for general AMSs, where MCs have different properties. We demonstrate the applicability of the proposed modeling technique by a flexible manufacturing system example.
Description
Schmidt, Klaus/0000-0003-3840-2737; Nooruldeen, Anas/0000-0002-3004-5838; Schmidt, Ece Guran/0000-0002-4062-389X
Keywords
Supervisory Control, Manufacturing Systems, Automata, Computational Modeling, Discrete-Event Systems, Analytical Models, Discrete-Event Systems, Automated Manufacturing Systems, Supervisory Control, Order-Preserving Models, Discrete-event systems, supervisory control, Electrical engineering. Electronics. Nuclear engineering, automated manufacturing systems, order-preserving models, TK1-9971
Fields of Science
0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Q2
Scopus Q
Q1

OpenCitations Citation Count
2
Source
IEEE Access
Volume
8
Issue
Start Page
131901
End Page
131919
PlumX Metrics
Citations
CrossRef : 1
Scopus : 2
Captures
Mendeley Readers : 7
SCOPUS™ Citations
2
checked on Mar 01, 2026
Web of Science™ Citations
2
checked on Mar 01, 2026
Google Scholar™

OpenAlex FWCI
0.1407
Sustainable Development Goals
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE


