Recipe-Based Engineering and Operator Support for Flexible Configuration of High-Mix Assembly

conference paper
2017
Verhoosel, J.P.C.

Bekkum, M.A. van
Nowadays, manufacturers must be increasingly flexible to quickly produce a high mix of on-demand, customer-specific, low volume product types. This requires flexible assembly lines with operators that are well-supported in their constantly changing assembly task, while producing high-quality, first-time-right, zero-defect products. Information coming from various supporting systems, such as ERP, MES and operator support systems, needs to be combined by the operator that configures the assembly line with materials, instructions and machine initialization settings. In this paper, we present a knowledge model that captures the main concepts and their relations in flexible manufacturing to deal with these challenges. This model is constructed by integrating existing manufacturing ontologies and can be used as the basis for information collection, exchange and analysis in information systems used in flexible manufacturing. The model supports (1) easy definition of recipe-based manufacturing instructions for engineers and operators, and (2) flexible, modular and adaptive support for human/cobot instructions. We also describe a demonstration set-up with an existing operator support system (OPS) in which the recipe concept is used in the engineering process to easily reuse existing modular components for assembling different product types.
Topics
Modular and adaptive instructionsOperator supportRecipe-based manufacturingAssembly machinesFlexible manufacturing systemsIndustrial managementManufactureAdaptive instructionEngineering processFlexible assembly linesFlexible manufacturingInformation collectionsManufacturing ontologyOperator supportOperator support systemAssembly
TNO Identifier
781338
Repository link
https://resolver.tno.nl/uuid:0b97d82a-1075-44bb-b58c-39aa7a7fae14
ISSN
18684238
ISBN
9783319669229
Publisher
Springer New York LLC
Source title
IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2017. 3 September 2017 through 7 September 2017
Editor(s)
Lödding, H.
Riedel, R.
Thoben, K.D.
Cieminski, G. von
Kiritsis, D.
Pages
363-371
Files
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