Multi-factory production planning using edge computing and IIoT platforms

Deepak Dhungana; Alois Haselböck; Sebastian Meixner; Daniel Schall; Johannes Schmid; Stefan Trabesinger; Stefan Wallner

doi:10.1016/j.jss.2021.111083

Multi-factory production planning using edge computing and IIoT platforms

Deepak Dhungana, Alois Haselböck, Sebastian Meixner, Daniel Schall, Johannes Schmid, Stefan Trabesinger, Stefan Wallner

Institute Digitalisation and Informatics

Research output: Contribution to journal › Article › peer-review

Abstract

An important prerequisite for determining whether a certain product is producible in any given production facility is an accurate assessment of which production lines and/or the machines are able to execute the necessary production steps. Not only the static information about the capabilities of the machines, but also the conditions of machines and tools are significant for this analysis. Because of the deviation of machine capabilities with increasing deterioration and weary of the equipment, it is also necessary to continuously monitor the status of the machine and analyze the machine conditions. In this paper, we present an approach for generating production plans across multiple factories, considering both static information and dynamic data analysis. Edge devices constantly monitor high frequency machine data and report condensed machine states to an Industrial IoT platform (IIoT). A marketplace within the cloud-application MindSphere enables us to integrate the requirements of the products and the capabilities of the production sites. Customers are be able to evaluate these production plans based on duration, energy consumption, CO2 footprint etc.

Original language	English
Article number	111083
Pages (from-to)	111083
Number of pages	1
Journal	Journal of Systems and Software
Volume	182
DOIs	https://doi.org/10.1016/j.jss.2021.111083
Publication status	Published - 16 Sept 2021

Keywords

Deterioration
Edge computing
Energy utilization
Manufacture
Planning
Cloud Manufacturing
Condition
Edge analytic
Factory as a service
Industrie 4.0
Manufacturing ecosystem
Monitoring production
Production Planning
Production plans
Static information
Production control
Edge analytics
Manufacturing ecosystems
Cloud manufacturing

Research fields

Industry 4.0
Self-adaptive Systems
Cyber Physical Systems
Software Product Lines

IMC Research Focuses

Software engineering and intelligent systems

ÖFOS 2012 - Austrian Fields of Study

102034 Cyber-physical systems
102021 Pervasive computing

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.jss.2021.111083

Cite this

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title = "Multi-factory production planning using edge computing and IIoT platforms",

abstract = "An important prerequisite for determining whether a certain product is producible in any given production facility is an accurate assessment of which production lines and/or the machines are able to execute the necessary production steps. Not only the static information about the capabilities of the machines, but also the conditions of machines and tools are significant for this analysis. Because of the deviation of machine capabilities with increasing deterioration and weary of the equipment, it is also necessary to continuously monitor the status of the machine and analyze the machine conditions. In this paper, we present an approach for generating production plans across multiple factories, considering both static information and dynamic data analysis. Edge devices constantly monitor high frequency machine data and report condensed machine states to an Industrial IoT platform (IIoT). A marketplace within the cloud-application MindSphere enables us to integrate the requirements of the products and the capabilities of the production sites. Customers are be able to evaluate these production plans based on duration, energy consumption, CO2 footprint etc.",

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author = "Deepak Dhungana and Alois Haselb{\"o}ck and Sebastian Meixner and Daniel Schall and Johannes Schmid and Stefan Trabesinger and Stefan Wallner",

note = "Funding Information: This work has been partially funded by the Austrian Research Promotion Agency (FFG) under the project grants 852105 (Pilotfabrik Industrie 4.0 - Smart Production), 861798 (LIT Factory) and 861800 (smartfactory@tugraz). Publisher Copyright: {\textcopyright} 2021 The Authors",

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AU - Haselböck, Alois

AU - Meixner, Sebastian

AU - Schall, Daniel

AU - Schmid, Johannes

AU - Trabesinger, Stefan

AU - Wallner, Stefan

N1 - Funding Information: This work has been partially funded by the Austrian Research Promotion Agency (FFG) under the project grants 852105 (Pilotfabrik Industrie 4.0 - Smart Production), 861798 (LIT Factory) and 861800 (smartfactory@tugraz). Publisher Copyright: © 2021 The Authors

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Multi-factory production planning using edge computing and IIoT platforms

Abstract

Keywords

Research fields

IMC Research Focuses

ÖFOS 2012 - Austrian Fields of Study

UN SDGs

Access to Document

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