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Workflow Managementfor Edge Driven Manufacturing Systems
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0001-9484-9766
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Abstract—The fourth industrial revolution is one of digitization.As manufacturers build more digital equipment into theirprocess harnessing the potential becomes a challenge. ISA 95based manufacturers rely on top down decision making, withredundant flow of information in order to organize Workflowson the factory floor. With advances in edge computing andsmart objects, more decision are made at lower levels of theinfrastructure hierarchy.However, how can the MES tracking and execution functionsbe decentralized while maintain an organized collaboration ofsmart objects? This paper proposes a Cyber Physical ServiceOriented System of Systems operating on edge computing. Thereare three systems proposed here; Smart Product, WorkflowManager and Workflow Executor. These systems operate withinArrowhead Local Clouds and create a fully autonomous setof system to complete a production order. Planning, Supplychain and Quality of Service monitoring are out of scope andremain as centralized activities. The Smart Product is the coreCyber Physical System that must be context-aware in order topass the correct Workflow information to the Workflow Systemresponsible for current activities.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018.
National Category
Engineering and Technology Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Industrial Electronics
Identifiers
URN: urn:nbn:se:ltu:diva-68459OAI: oai:DiVA.org:ltu-68459DiVA, id: diva2:1199854
Conference
IEEE Industrial Cyber-Physical Systems
Available from: 2018-04-23 Created: 2018-04-23 Last updated: 2018-05-03
In thesis
1. Architectural Design Principles For Industrial Internet of Things
Open this publication in new window or tab >>Architectural Design Principles For Industrial Internet of Things
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

As society has progressed through periods of evolution and revolution, technology has played a key role as an enabler. In the same manner that mechanical machines of the 1800's drove the industrial revolution, now digitalized machines are driving another industrial revolution. With the recognition of a fourth industrial revolution the Industry4.0 initiative was founded in Germany in 2011. One of the drivers of Industry 4.0 is the Industrial Internet of Things. The Internet of Things is a natural step as computing ubiquity and interconnectedness become more widely present. Add to this intelligence, delegation and human orientation and the result is software intensive engineering at almost all layers (excluding the physical and human layers). Software development is a competency in communications, information systems, computer science, software and computer systems engineering and electrical and electronic engineering. Software solutions are becoming more distributed, not only over processes, but over heterogeneous computing platforms and business domains. These platforms could be physically separated over large distances, or highly mobile platforms with varying security requirements. All these requirements introduce complexity on a scale previously unseen in the software industry.

The Industrial Internet of Things works toward achieving flexible manufacturing, withincreasingly large amounts of data generated, stored, analyzed, archived and eventually fed back into the product life cycle. But where is this data stored and how is it transported? Can centralized or federated databases continue to manage the data storage? Centralization of data has several challenges, such as collection bottlenecks, secure retrieval, single point of failure and data scheme fragility as data heterogeneity increases. This thesis proposes a method of information distribution based on only where and when it is needed. Systems build context at runtime by creating dynamic queries that are used to make service compositions. These service compositions process data and present it as information to the consuming system. Processing can be aggregation, signal processing, or format manipulation. As manufacturers increase the digital foot print on the factory floor, harnessing the Industrial Internet of Things becomes a challenge. How can Manufacturing Execution System functions, such as execution and tracking, be designed on top of self-organizing collaboration of smart objects? This thesis proposes a Service Oriented System of Systems operating on Edge Computing for production execution, management and tracking. The solution proposes three Systems to achieve the desired architecture; Smart Product, Workflow Manager and Workflow Executor.

This thesis then goes on to propose an architectural style for the Industrial Internet of the Things. It develops the forms, elements and views that can be used to define a concrete or reference architecture. It is influenced by the Reference Architecture Model for Industry 4.0 and utilizes each of the layers as views of the software. The architectural style embodies design principles developed during this thesis for the Industrial Internet of Things. The principles promote and guide a way of thinking that encourage resilient, secure and evolvable software solutions. The style and principles are not created in vacuum and primary source of inspiration is referenced to Systems of Systems theory and Service Oriented Architecture. The vision in one sentence could be that of Systems of Systems, working autonomously, search one and other out so they can collaborate, sharing only what information is needed when it is needed and with mutual respect.

Place, publisher, year, edition, pages
Luleå: Luleå University of Technology, 2018
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
National Category
Computer Systems Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Industrial Electronics
Identifiers
urn:nbn:se:ltu:diva-68463 (URN)978-91-7790-128-0 (ISBN)978-91-7790-129-7 (ISBN)
Public defence
2018-05-29, Luleå, 10:00 (English)
Available from: 2018-04-24 Created: 2018-04-23 Last updated: 2018-05-03Bibliographically approved

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