Customization and flexible manufacturing capacity using a graphical method applied on a configurable multi-agent system

Nilsson, Anders; Danielsson, Fredrik; Svensson, Bo

doi:10.1016/j.rcim.2022.102450

Cited by 12 publications

(13 citation statements)

References 22 publications

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“…When translated into C-MAS, each process/operation is considered as a goal, related process parameters are extracted to goal variables, and the order of the goals is in the Sequence of Goals Chart. The time it takes to modify a part, from CAD to Plug & Produce, was verified through the industrial reference group connected to this work, described in [3]. Changes such as adding a new goal or moving a location can be done in less than 3.5 minutes by utilizing the in-house knowledge of a manufacturing company that has CAD experience and a process focus.…”

Section: Test Cases Verification and Resultsmentioning

confidence: 99%

“…A Plug & Produce demonstrator for automatically manufactured wall sections of wooden houses was built to verify the functionality of the proposed method for the integration of CAD and robots into C-MAS [3]. A question to answer through this work is; which actions are needed to be able to extract data from 3D-CAD models of the part for seamless use in the Plug & Produce without reentering and transformation of data?…”

Section: Test Cases Verification and Resultsmentioning

confidence: 99%

“…Efforts and time needed to adapt C-MAS to new Plug & Produce scenarios have earlier been tested and evaluated compared to other flexible systems with good results [3]. C-MAS is extended in this work with a graphical method for extracting data directly from 3D-CAD for seamless use in Plug & Produce without any manual reentering and transforming enabled by this article's proposed generic structure for the integration of standard industrial robots into agents.…”

Section: Discussionmentioning

confidence: 99%

“…The order of goals is important, e.g., a hole cannot be made before the material that should have the hole is placed. The sequence of goals chart is a tool to visualize and handle goals in C-MAS and was presented in [3], sequential goals are visualized as a flow from top to bottom, see Fig. 1.…”

Section: C-mas Structure and Digital Configurationmentioning

confidence: 99%

“…However, the situation in the industry is that a high degree of flexibility in automation systems requires a high degree of competence to handle [2]. This article aims to change this relationship by expanding an existing Plug & Produce concept, controlled by the Configurable Multi-Agent system (C-MAS) [3]. C-MAS has been proven to be efficient in adapting to changed manufacturing.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

From CAD to Plug & Produce - A generic structure for the integration of standard industrial robots into agents

Nilsson

Danielsson²,

Svensson³

2023

Preprint

Self Cite

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Industries of low batches or one-off manufacturing aim for automation that is competitive enough to adapt to new or modified products daily through in-house knowledge. A knowledge that focuses on manufacturing processes, not on machine function programming. To solve this a complete set of actions that utilize seamless data transfer from product design to a Plug & Produce automation concept is proposed together with a generic structure for the integration of standard industrial robots into agents. This structure enables agents to handle their local reference coordinate systems and locations relative to a global perspective. Seamless utilization of data from product designs to Plug & Produce will simplify and shorten the time of digital development through concurrently usable text-based and graphical configuration tools of a configurable multi-agent system. Needed data extracts directly from the product design as requirements of operational goals. Extraction of data from the product design, sequence of goals, and process plans, which are recipes of how to solve goals, can by this concept be configured by in-house knowledge that has the process knowledge but not necessarily programming competence.

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Section: Test Cases Verification and Resultsmentioning

confidence: 99%

Section: Test Cases Verification and Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: C-mas Structure and Digital Configurationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

From CAD to Plug & Produce - A generic structure for the integration of standard industrial robots into agents

Nilsson

Danielsson²,

Svensson³

2023

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

Online Hazard Detection in Reconfigurable Plug & Produce Systems

Massouh,

Danielsson,

Ramasamy

et al. 2023

Lecture Notes in Mechanical Engineering

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From CAD to Plug & Produce

Nilsson,

Danielsson,

Svensson

2023

Int J Adv Manuf Technol

View full text Add to dashboard Cite

Industries of low-batches or one-off manufacturing aim for automation that is competitive enough to adapt to new or modified products daily through in-house knowledge that focuses on manufacturing processes and not on machine function programming. To solve this, a complete set of actions that utilize seamless data transfer from product design in CAD to a Plug & Produce automation concept is proposed together with a generic structure for the integration of standard industrial robots into agents. This structure enables agents to handle their local reference coordinate systems and locations relative to a global perspective. Seamless utilization of data from product designs to Plug & Produce will simplify and shorten the time of digital development through concurrently usable text-based and graphical configuration tools of a configurable multi-agent system. Needed data extracts directly from the product design as requirements of operational goals. Extraction of data from the product design, sequence of goals, and process plans, which are recipes of how to solve goals, can by this concept be configured by in-house knowledge that has the process knowledge but not necessarily programming competence.

show abstract

Customization and flexible manufacturing capacity using a graphical method applied on a configurable multi-agent system

Cited by 12 publications

References 22 publications

From CAD to Plug & Produce - A generic structure for the integration of standard industrial robots into agents

From CAD to Plug & Produce - A generic structure for the integration of standard industrial robots into agents

Online Hazard Detection in Reconfigurable Plug & Produce Systems

From CAD to Plug & Produce

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Customization and flexible manufacturing capacity using a graphical method applied on a configurable multi-agent system

Cited by 12 publications

References 22 publications

From CAD to Plug &amp; Produce - A generic structure for the integration of standard industrial robots into agents

From CAD to Plug &amp; Produce - A generic structure for the integration of standard industrial robots into agents

Online Hazard Detection in Reconfigurable Plug & Produce Systems

From CAD to Plug & Produce

Contact Info

Product

Resources

About

From CAD to Plug & Produce - A generic structure for the integration of standard industrial robots into agents

From CAD to Plug & Produce - A generic structure for the integration of standard industrial robots into agents