Objectives of Integrated Digital Production Engineering in the Automotive Industry

Schmidgall, Günter; Kiefer, Jens; Bär, Thomas

doi:10.3182/20050703-6-cz-1902.01458

Cited by 8 publications

(3 citation statements)

References 3 publications

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“…Figure 1: Key aspects of production engineering (Schmidgall, 2005) In detailed planning, the specifics of each individual workstation must be worked out, including all the geometrical conditions (e.g. collision analyses, accessibility), capacity planning, time balancing, ergonomic analyses, sequences of operations, and offline programming for automated components.…”

Section: Scope Of This Contributionmentioning

confidence: 99%

Support of Control Application Design Using Digital Design and Planing of Manufacturing Cells

Diedrich

Franz²,

John³

et al. 2005

IFAC Proceedings Volumes

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The paper deals with automation aspects of digital planning processes. It describes the integration procedure of controller and SCADA systems into digital planning and simulation. This integration is an extension to the current situation where the simulation is organised within the planning tools and the generation of programs is restricted to robots. The generation of controller programs and SCADA system configuration are described in detail.

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Section: Scope Of This Contributionmentioning

confidence: 99%

Support of Control Application Design Using Digital Design and Planing of Manufacturing Cells

Diedrich

Franz²,

John³

et al. 2005

IFAC Proceedings Volumes

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show abstract

“…As a consequence, the design of the manufacturing control system starts at a quite late stage in the development of the manufacturing system. Control engineers design the control system based on an optimal or at least suboptimal sequence of operations given in a schedule, often visualized using Gantt charts [13]. However, a drawback with Gantt charts is the lack of information regarding embedded conditions that express when operations can start.…”

Section: Introductionmentioning

confidence: 99%

Event- and time-based design of operation sequences with uncertainties in execution times

Sundström

Lennartson

2013

2013 IEEE 18th Conference on Emerging Technologies &Amp; Factory Automation (ETFA)

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In this paper, we introduce a complete framework for integrating the design of the manufacturing process and control system. We show how operation sequences can be designed in a modeling tool, Sequence Planner (SP), and how relations between operations may be expressed using logical conditions. An approach to convert the SP model into a constraint programming model for optimization is presented. The time-based solution is transformed to an event-based description. Due to uncertainties in execution times, some logical restrictions based on the optimal schedule are relaxed to avoid unnecessary delays. The control logics to achieve the desired operation sequences are added to the SP model. Hence, the process designer can revise the sequences if necessary, and the control designer retrieves a logical description of the optimized process that can be automatically converted to control code.

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“…This also means that not only single steps of the planning process but also the exchange of planning data between collaborating partners have to be supported electronically. Further details on this problem are described in (Schmidgall, 2005).…”

Section: Introductionmentioning

confidence: 99%

Using Ontology-Based Reference Models in Digital Production Engineering Integration

Szulman

Hefke

Trifu

et al. 2005

IFAC Proceedings Volumes

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Objectives of Integrated Digital Production Engineering in the Automotive Industry

Cited by 8 publications

References 3 publications

Support of Control Application Design Using Digital Design and Planing of Manufacturing Cells

Support of Control Application Design Using Digital Design and Planing of Manufacturing Cells

Event- and time-based design of operation sequences with uncertainties in execution times

Using Ontology-Based Reference Models in Digital Production Engineering Integration

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