Decision Support System for Joint Product Design and Reconfiguration of Production Systems

Hashemi-Petroodi, S. Ehsan; Gonnermann, Clemens; Paul, Magdalena; Thevenin, Simon; Dolgui, Alexandre; Reinhart, Gunther

doi:10.1007/978-3-030-30000-5_30

Cited by 3 publications

(6 citation statements)

References 13 publications

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“…Module (1) focuses on the generation of assembly plans through an assembly-by-disassembly approach as described in [58]. Assembly plans contain information about the assembly sequences, process types (e.g., joining), assembly path and process specific parameters (e.g., torque).…”

Section: Describes the 4 Modules That Results In An Optimizedmentioning

confidence: 99%

“…To identify valid and collision-free assembly sequences, an assembly-by-disassembly approach is used to analyze CAD models of new product variants [57][58][59]. Each part of the CAD assembly group is virtually disassembled to generate assembly sequences and define assembly paths for each part of the product as described in Fig.…”

Section: Generation Of Assembly Plansmentioning

confidence: 99%

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A skill- and feature-based approach to planning process monitoring in assembly planning

Gonnermann

Hashemi-Petroodi

Thevenin

et al. 2022

Int J Adv Manuf Technol

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Frequent changes in customer needs and large product variety are forcing manufacturing companies to move from mass production to mass customization. Customized production can be achieved by introducing reconfigurable production systems (RMS). The customized flexibility and several characteristics of RMSs provide many opportunities in terms of process and production planning. However, those characteristics greatly increase the complexity of the design and planning of production systems. This paper presents a decision support system relying on a skill-based approach to design a reconfigurable assembly line considering the planning of assembly processes and monitoring. The proposed decision aid system is modular in design and is composed of four modules. The main input data is a CAD model of a new product variant for the identification of the assembly and monitoring requirements. Besides, a current assembly system layout with its resource descriptions exists. In the first developed module, assembly-by-disassembly and a skill-based approach are used to generate different assembly plans. In the second module, feature recognition and skill-based approaches generate process monitoring alternatives. The third module uses a linear program (LP) that aims to minimize the total cost of workstation activation and reconfiguration, as well as cycle time, and to maximize the process quality of the assembly tasks. A user-based generative model design approach is applied to optimize the values of three objective functions. In the fourth and final module, a simulation of the optimized assembly plan allows either the validation of the assembly plan and process monitoring plan or initiates a new iteration due to their infeasibility. To further demonstrate how the proposed methodology works, some computational experiments are provided for two use cases.

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Section: Describes the 4 Modules That Results In An Optimizedmentioning

confidence: 99%

Section: Generation Of Assembly Plansmentioning

confidence: 99%

A skill- and feature-based approach to planning process monitoring in assembly planning

Gonnermann

Hashemi-Petroodi

Thevenin

et al. 2022

Int J Adv Manuf Technol

Self Cite

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“…These requirements create a tree of connected resources (and related skills) that are not explicitly defined in the process plan. Hashemi-Petroodi et al (2019) alternatively developed a three-step methodology to reconfigure RMSs. Feasible assembly plans are set-up using a skill-based comparison of the product requirements and RMS.…”

Section: (Semi-)offline Modelling Perspectivementioning

confidence: 99%

A formal skill model to enable reconfigurable assembly systems

Ginste

Cock

Alboom

et al. 2022

International Journal of Production Research

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As assembly systems move into the era of mass customisation, the complexity of design processes, (re)configurations and operations rises. Well-structured data are key in keeping this complexity manageable. Hereto, this paper presents a multidimensional formal skill model designed to deliver generic descriptions of needs and capacities with skills as the connector between products, processes and resources. The model formalises resource structures in relation to the processes they master and products they can produce. This paper discusses the case-based evaluation in a reconfigurable assembly system and highlights the added-value of a skill-based modelling approach. The presented formal model combines concepts coming from both offline and online modelling perspectives and allows for various applications and levels of detail. The resource structures embedded in the prerequisites of a skill enable matchmaking of resources for workspace design and reconfigurations. The mapping of the model to standardised ISA-95 models couples production needs to the resources allowing for more optimal production planning, control and a structured interface between enterprise and control systems. The possibility to couple states to the assembly environment allows for optimal runtime orchestration.

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“…The first category are formal models such as ontologies to create skill structures that can be used as a shared vocabulary or for optimization and reasoning purposes. Most contributions start from the process or task that is translated into a required skill [9,3,14,4]. Järvenpää et al [9] developed a model to support 'capability matchmaking' between product requirements and resource skills.…”

Section: Skill-based Modellingmentioning

confidence: 99%

“…Later on it is extended with 'executable capabilities' for task programming but without a direct link between both [16]. Hashemi-Petroodi et al developed a three-step methodology to automatically reconfigure reconfigurable manufacturing systems (RMS) [4]. Feasible assembly plans are set-up using a skill-based comparison of the product requirements and RMS.…”

Section: Skill-based Modellingmentioning

confidence: 99%

A Formal Skill Model Facilitating the Design and Operation of Flexible Assembly Workstations

Ginste

Cock

Alboom

et al. 2021

IFIP Advances in Information and Communication Technology

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In the Industry 4.0 area, there is an increasing demand for highly customized products in small batch sizes. Final assembly operations are frequently targeted to embed flexibility and compensate for the growing manufacturing uncertainties. Therefore, an adequately designed and operated flexible assembly workstation is crucial. Converting the flexibility needs into design and operational decisions requires versatile formal models delivering generic descriptions of needs and capacities. Skills form the central connector between products, processes and resources. Here, a skill-centered model for describing resource activities, the related production needs and flexibility impacts is introduced. The model fits both plug and produce and design optimization settings and goes beyond current skill-based modelling by offering a framework which, by design, does not limit the applications and easily adapts to the desired level of detail. One key strength is its ability to combine abstract and executable skills. Next to the product-action skills, also assistive skills related to operator support, parts storing, ergonomics etc. can be easily modelled. The use of the model is illustrated by an example based on an industrial use case from Flemish industry.

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Decision Support System for Joint Product Design and Reconfiguration of Production Systems

Cited by 3 publications

References 13 publications

A skill- and feature-based approach to planning process monitoring in assembly planning

A skill- and feature-based approach to planning process monitoring in assembly planning

A formal skill model to enable reconfigurable assembly systems

A Formal Skill Model Facilitating the Design and Operation of Flexible Assembly Workstations

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