A model-driven software engineering workflow and tool architecture for servitised manufacturing

Dimitriou, Gerasimos; Bekiaris, Vassilis; Vassiliou, Charalampos; Kalaboukas, Kostas; Askounis, Dimitris

doi:10.1007/s10257-018-0371-5

Cited by 5 publications

(2 citation statements)

References 79 publications

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“…After the resource configuration of IPS 2 according to customer requirements, the fine-grained modeling of service activities becomes a top priority for the smooth operation and delivery of IPS 2 . A model-driven software engineering workflow for servitised manufacturing is proposed to support both structural and behavioral modeling of the service system [18]. An IPS 2 automation approach based on the workflow management system is proposed that facilitates the modeling, development and deployment of particular business processes and simplifies the adaption of product share configuration [19].…”

Section: The Resource Configuration and Activity Modeling In Ipsmentioning

confidence: 99%

Designing an Industrial Product Service System for Robot-Driven Sanding Processing Line: A Reinforcement Learning Based Approach

Yang,

Chen,

Yang

et al. 2024

Machines

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The Industrial Product Service System (IPS2) is considered a sustainable and efficient business model, which has been gradually popularized in manufacturing fields since it can reduce costs and satisfy customization. However, a comprehensive design method for IPS2 is absent, particularly in terms of requirement perception, resource allocation, and service activity arrangement of specific industrial fields. Meanwhile, the planning and scheduling of multiple parallel service activities throughout the delivery of IPS2 are also in urgent need of resolution. This paper proposes a method containing service order design, service resource configuration, and service flow modeling to establish an IPS2 for robot-driven sanding processing lines. In addition, we adopt the modified Deep Q-network (DQN) to realize a scheduling scheme aimed at minimizing the total tardiness of multiple parallel service flows. Finally, our industrial case study validates the effectiveness of our methods for IPS2 design, demonstrating that the modified deep reinforcement learning algorithm reliably generates robust scheduling schemes.

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Section: The Resource Configuration and Activity Modeling In Ipsmentioning

confidence: 99%

Designing an Industrial Product Service System for Robot-Driven Sanding Processing Line: A Reinforcement Learning Based Approach

Yang,

Chen,

Yang

et al. 2024

Machines

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“…Metodologias de desenvolvimento baseadas em modelos também têm sido utilizadas para o desenvolvimento de serviços e aplicações web [21][22][23][24]. Tais metodologias têm sido aplicadas a diferentes domínios do conhecimento, tais como business intelligence [25], sistemas de informação em saúde [26,27] e manufatura de produtos conectados a serviços [28]. Porém, não temos conhecimento de metodologias de desenvolvimento baseadas em modelos específicas para o desenvolvimento de serviços de análise em bioinformática.…”

Section: Desenvolvimento Baseado Em Modelosunclassified

Desenvolvimento baseado em modelos de serviços adaptadores para ferramentas de bioinformática

Waldemarin¹

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An in silico experiment demands the execution of a number of activities supported by one or more dedicated command-line tools. A analysis web service may be created to adapt an existing analysis tool, exposing a suitable web interface to its user while still executing the original tool over user-submitted data in the background. However, the development of an adapter web service requires technical knowledge unusually detained by bioinformaticians and biologists. Additionally, the lack of a well-known reference model to guide the development of mature analysis services leads to the proliferation of services that have distinct characteristics, hindering the reuse of these services in different contexts. Thus, the availability of a development process that facilitates the development of mature and consistent adapter services is highly desirable. This research aimed at studying the use of model-based approaches to support the development and use of analysis web services in bioinformatics. First, this work proposes a reference model for bioinformatics analysis services to guide the development of mature RESTful analysis services. Then, the work proposes a model-based development process for adapter services, their clients and their descriptions, and provides a support infrastructure for the development process. Finally, the work details the application of the proposed development process and support infrastructure in the reengineering of an existing service repository in the functional genomics domain. We believe our work promotes the development and use of analysis services in the bioinformatics domain by allowing the bioinformatician to quickly obtain a mature analysis service to adapt an existing analysis tool, as well as its clients and associate service description.

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Model‐Based Engineering with Application to Autonomy

Bhadani

Bunting

Sprinkle

2019

Complexity Challenges in Cyber Physical Systems

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A model-driven software engineering workflow and tool architecture for servitised manufacturing

Cited by 5 publications

References 79 publications

Designing an Industrial Product Service System for Robot-Driven Sanding Processing Line: A Reinforcement Learning Based Approach

Designing an Industrial Product Service System for Robot-Driven Sanding Processing Line: A Reinforcement Learning Based Approach

Desenvolvimento baseado em modelos de serviços adaptadores para ferramentas de bioinformática

Model‐Based Engineering with Application to Autonomy

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