Product-Driven Generation of Action Sequences for Adaptable Manufacturing Systems

Keddis, Nadine; Kainz, Gerd; Zoitl, Alois

doi:10.1016/j.ifacol.2015.06.299

Cited by 10 publications

(6 citation statements)

References 18 publications

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“…Therefore, the simulation step is run after optimization to check the proposed solution for collision freedom and reachability. The simulation is based on a 3D environment using kinematics (see [6]), and it uses all available information from the CAD-model and the resource library. In the simulation, collisions between product and resource, resource and surrounding and between different resources are checked to ensure the safety of the process.…”

Section: Analyzation Of Feasibility Through Simulationmentioning

confidence: 99%

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

Hashemi-Petroodi

Gonnermann

Paul

et al. 2019

IFIP Advances in Information and Communication Technology

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Reconfigurable manufacturing systems (RMS) are designed to be able to be reconfigured to produce new items. Nevertheless, reconfigurations of a RMS may be time consuming and costly if they are not considered since early steps of new item design. This work describes a decision support system to automatically generate and test configurations for such RMSs based on a computeraided design (CAD) model of a new product. The proposed methodology consists of two main steps. First, a matrix of possible assembly plans (taking into account resource/tool compatibility, geometric constraints, …) is generated with a skillbased comparison between the new item and the production resources. Second, the assembly plan with minimum reconfiguration cost is found through mathematical optimization. The solution is analyzed by a simulation model in the end. Experiments performed on small use case validate the proposed methodology.

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Section: Analyzation Of Feasibility Through Simulationmentioning

confidence: 99%

“…The joint design of product and manufacturing systems has a significant impact on the cost and time of production [3]. Different approaches exist for the automated assembly plan generation [4,5,6]. The design and reconfiguration of production lines are considered in many publications, see for example [7,8,9,10].…”

Section: Introductionmentioning

confidence: 99%

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

Hashemi-Petroodi

Gonnermann

Paul

et al. 2019

IFIP Advances in Information and Communication Technology

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“…They propose a machine-independent way to describe the scheduling problem. Therefore, the same vocabulary for describing the capabilities of the machines and the production plans is necessary [6].…”

Section: Current State Of Research and Re-search Goalmentioning

confidence: 99%

“…Some common approaches use capability-based methods to describe products separated from factory resources [22] [23]. This decoupling enables the ability to plan the production of a specific product in different factories and vice versa using capability-based matching algorithms [6]. Due to this flexible setup, it is possible to integrate human workers as a special type of a factory resource.…”

Section: B Use Case 2: Adaptable Production Planningmentioning

confidence: 99%

Towards capability-based worker modelling in a smart factory

Vernim

Walzel

Knoll

et al. 2017

2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

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New technologies and the emphasis on digitalization in industrial companies lead to major changes in production environments. A significant reorganization of production processes is one of the results. This takes place in different production areas and transforms companies into so-called Smart Factories. One of the most important questions in this context is how this transformation affects the involved employees in production and how they have to adapt to their new working environment. Therefore, it is necessary to examine the consequences for human workers and to raise awareness within the involved companies so that they can manage these changes successfully.To measure and evaluate the consequences, a way to describe human work and capabilities in different scenarios has to be developed. Such capability-based descriptions have yet only been used for elements of production systems, for example assembly systems. In this paper, we propose a new model to characterize the capabilities of a human worker based on these approaches.

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“…By exploring the solution space of the manufacturing system with a branch-and-bound algorithm, possible material flows are incorporated in the action sequence. For further details on the used algorithm, refer to [35], [39].…”

Section: B Automated Generation Of Action Sequencesmentioning

confidence: 99%

Optimizing schedules for adaptable manufacturing systems

Keddis

Javed

Igna

et al. 2015

2015 IEEE 20th Conference on Emerging Technologies &Amp; Factory Automation (ETFA)

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Adaptability and changeability are becoming the key features of future manufacturing. With adaptability comes a need to dynamically and frequently change factory topologies throughout the life-cycle of manufacturing systems. These changes are necessary to respond to changes in markets that result in new products, production volumes, and product variants. In addition to flexibly switching between different setups, the resulting schedules still have to be optimal to a certain extent to stay profitable. In this paper, we extend a capability-based planning approach to generate timed automata models that are used to solve the scheduling problem. The capability-based approach automatically generates an action sequence that defines all necessary production resources and operations for a product. The action sequence is then automatically transformed into models in UPPAAL -a model-checker for timed automata -and used to generate a schedule for production orders. The result can then be executed on the different production resources. An example scenario based on an industrial production system used for educational purposes shows the suitability of this approach.

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Product-Driven Generation of Action Sequences for Adaptable Manufacturing Systems

Cited by 10 publications

References 18 publications

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

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

Towards capability-based worker modelling in a smart factory

Optimizing schedules for adaptable manufacturing systems

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