The Fourth industrial Revolution is transforming the roles of humans, technology and work in production systems. Although the level of automation on shop floors increases, it is not always feasible or effective to ass...
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The Fourth industrial Revolution is transforming the roles of humans, technology and work in production systems. Although the level of automation on shop floors increases, it is not always feasible or effective to assign the execution of production tasks to autonomous systems. Where total automation is ineffective, new forms of Human-Technology integration (HTI), Operator Assistance Systems (OAS) and Augmentation Technologies can empower the workforce and increase overall business productivity. OAS can be conceptualized as systems that interact with operators to augment their cognitive and physical capabilities whilst performing industrial work tasks, resulting in HTI. In order to achieve successful HTI, an organization must make appropriate strategic and operational decisions for its business environment while also effectively managing its operations. Identifying and executing effective managerial decisions and activities for HTI can be aided by using business support, i.e., management tools. However, in industry, the systematic guidance of practitioners in HTI activities remains challenging. This paper addresses the challenge of guiding practitioners in HTI by introducing the Augmented Workforce Canvas (Canvas). Developed through Procedural Action Research (PAR), the Canvas is a strategic technology management tool aimed at systematically guiding users through the complex transformation towards HTI and the future of work on the shop floor. The Canvas takes a value-driven, technology-neutral approach to HTI. The tool begins with an assessment by key stakeholder groups of the set of underlying problems and the required added value of the HTI. It can be used as a methodological framework for industrial researchers to identify their respective contributions to the overall context of HTI in industrial contexts. Building on 39 industry expert interviews, the Canvas was co-designed and developed in 13 workshop sessions, refined and tested in 12 working sessions by indust
The proceedings contain 6 papers. The topics discussed include: tools integration through a central model and automatic generation of multi-platform control code;automatic test-case derivation and execution in industr...
The proceedings contain 6 papers. The topics discussed include: tools integration through a central model and automatic generation of multi-platform control code;automatic test-case derivation and execution in industrial control;integrated design of simulation models for passive houses;integration of a formalized process description into MS Visio® with regard to an integrated engineering process;validating process models in systems engineering environments;and quality assurance aspects in automation systems engineeringprojects - challenges and lessons learned from industry prototype applications.
Software development work flows for safety relevant software require that each artefact is tested by at least one test case. An automatic overnight test case execution process supplying the newest results every mornin...
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This paper presents an analysis of benefits and hindrances for specific information integration implementations in the industrial construction sector. A tool, developed by a Construction Industry Institute research te...
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automation systems, e.g., hydro power plants and industrialautomation systems include heterogeneous engineering disciplines, e.g., mechanical, electrical, process, and software engineering, and raise additional chall...
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automation systems, e.g., hydro power plants and industrialautomation systems include heterogeneous engineering disciplines, e.g., mechanical, electrical, process, and software engineering, and raise additional challenges for quality assurance activities, e.g., identifying defects in change management processes where different disciplines are involved. Our observations in industry shows various tools and data models with limitations in collaboration and data exchange that hinder effective and efficient quality assurance across disciplines where experts have to collaborate and exchange data. The automation Service Bus (ASB) offers a middleware platform with focus on (a) integrating tools from difference disciplines and (b) bridging the gap between data models coming from different sources. Based on technical and semantic integration quality assurance across disciplines and domain borders becomes possible. In context of quality assurance and project management this paper presents selected research challenges and shows results of implemented application proto-types of an ongoing project in industry context.
The increasing complexity of automation systems and the great variety of platforms and languages favor an abstract approach to the design of control applications, which should also integrate mechanical, electrical and...
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The increasing complexity of automation systems and the great variety of platforms and languages favor an abstract approach to the design of control applications, which should also integrate mechanical, electrical and process information. A European project tackled this problem, and for achieving the goal of integrating engineering activities and tools proposed a link between the design and implementation phases by using a modelbased repository, supported by automatic generation of control code for various environments. This paper focuses on some project results particularly regarding the generation of multi-platform control code. Even if the project outcome has confirmed the feasibility of the proposed approach and generated code has been successfully used by project partners, some research questions are still worth to be investigated.
Modern automation systems require both designtime and runtime integration of diverse engineeringtools. Traditional integration approaches are based on repeating manual work, being time-consuming and error-prone. In t...
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Modern automation systems require both designtime and runtime integration of diverse engineeringtools. Traditional integration approaches are based on repeating manual work, being time-consuming and error-prone. In this paper, applications of semantic integration, dealing with meaning of objects and their interfaces, is explained and shown on a real industrial use-case. Simulations are useful tools for process optimization or performance testing and the presented methodology makes their design for particular industrial plants flexible. The use-case shows that the design of simulation models for passive houses can be user-friendly and feasible even for non-experts as it is based on a graphical tool that enables to draw a passive house floor plan. Since neither this tool nor a universal simulation library, comprising atomic simulation blocks, were intended for simulation purposes, the presented methodology is a typical example of toolintegration having heterogeneous data models. The goal of this paper is to propose an ontology-based formalization of knowledge representing structures of real industrial plants and simulation models. The paper also introduces the design of simulation models for passive houses from other engineering sources, which can be used by non-experts for simulation modeling. The practical usage is restricted by the fact that simulation parameters must be entered manually. The main contributions of the paper are the proposed structure of an automation ontology and a workflow of simulation model design that is not common in engineering disciplines.
This paper describes an improvement of the engineering process of automated plants by combining information of the technical process and plant structure. Integrating a semi-formal process description in MS Visio®...
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This paper describes an improvement of the engineering process of automated plants by combining information of the technical process and plant structure. Integrating a semi-formal process description in MS Visio® for the requirements engineering phases and using these planning results throughout the engineering process can be an approach for an integrated engineering. By linking the semi-formal process description with a plant structure description in automationML the engineering efficiency can be increased. The potential, arising through the presented approach, is shown by an example from the engineering of a hot strip mill. The requirements have been modeled within the MS Visio ® implementation;these results can then be used for a consistent observance of the stated requirements on the technical resources that have to be engineered.
Systems engineering environments usually involve multi-disciplinary engineering domains, such as mechanical, electrical, and software engineering, to cooperate and reach the common goals, e.g., to produce good quality...
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Systems engineering environments usually involve multi-disciplinary engineering domains, such as mechanical, electrical, and software engineering, to cooperate and reach the common goals, e.g., to produce good quality products in time. Validation of systems engineering processes is challenging, because typically there are large numbers of possible combinations of heterogeneous sub-processes to test. In this paper, we propose a simulation-based approach to validate systems engineering processes. Simulation-based process validation (SbPV) aims at improving the efficiency of process validation in the real world. We collect engineering process data from the simulation of the systems engineering environments and analyze the conformance with the designed process model. As a real-world use case, we describe a production automation system and use a prototype implementation of the proposed SbPV approach to link the real engineering process information with the designed process model. Major result was the SbPV approach improved the efficiency of validating systems engineering processes and can complement testing of the sub-processes.
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