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  • 1.
    Eriksson, Kristina M.
    et al.
    University West, Department of Engineering Science, Division of Production Systems.
    Carlsson, Linnea
    University West, School of Business, Economics and IT, Divison of Informatics.
    Olsson, Anna Karin
    University West, School of Business, Economics and IT, Division of Business Administration.
    Exploring Socially Sustainable, Smart Manufacturing: Building Bridges Over Troubled Waters2024In: Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364, p. 833-841Article in journal (Refereed)
    Abstract [en]

    Contemporary manufacturing organizations formulate strategies towards smart manufacturing. However, strategies often merely regard technological improvements of working processes and activities and pay limited attention to human-centric perspectives. This study addresses the complex phenomenon of reaching socially sustainable smart manufacturing by exploring the human-centric perspectives in the eras of Industry 4.0 and Industry 5.0. Data were collected through an explorative qualitative case study with focus groups applying the history wall approach to document informants’ choices of activities that impact digitalization. To investigate informants’ interpretations and experiences of digital initiatives and prospects, the history wall approach was coupled with the analytical lens of the co-workership wheel, with its four conceptual pairs: trust and openness, community spirit and cooperation, engagement and meaningfulness, responsibility, and initiative. A total of 17 informants from different organizational levels at a case company participated. Activities, impacting digitalization, brought forward were grouped into technology, organization, and external impact. Results showed that human-centric and intangible perspectives surfaced as prerequisites when navigating industrial digitalization. Further, digital initiatives and prospects risk drowning in re-occurring organizational changes making successful implementation difficult. Thus, organizations cannot rely solely on technology, but must consider activities related to organizational aspects and impacts from the external environment, when introducing digital initiatives. Intrinsically, recognition of the co-workership concept, emphasizing human-centricity, can support the foundation necessary for bridging the gap towards socially sustainable smart manufacturing and strengthening the emerging I5.0 research.

  • 2.
    Ramasamy, Sudha
    et al.
    University West, Department of Engineering Science, Division of Production Systems.
    Bennulf, Mattias
    University West, Department of Engineering Science, Division of Production Systems.
    Zhang, Xiaoxiao
    University West, Department of Engineering Science, Division of Production Systems.
    Hammar, Samuel
    Graniten, Uddevalla, (SWE).
    Danielsson, Fredrik
    University West, Department of Engineering Science, Division of Production Systems.
    Online Path Planning in a Multi-agent-Controlled Manufacturing System2023In: Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364, p. 124-134Article in journal (Refereed)
    Abstract [en]

    In recent years the manufacturing sectors are migrating from mass production to mass customization. To be able to achieve mass customization, manufacturing systems are expected to be more flexible to accommodate the different customizations. The industries which are using the traditional and dedicated manufacturing systems are expensive to realize this transition. One promising approach to achieve flexibility in their production is called Plug & Produce concept which can be realized using multi-agent-based controllers. In multi-agent systems, parts and resources are usually distributed logically, and they communicate with each other and act as autonomous agents to achieve the manufacturing goals. During the manufacturing process, an agent representing a robot can request a path for transportation from one location to another location. To address this transportation facility, this paper presents the result of a futuristic approach for an online path planning algorithm directly implemented as an agent in a multi-agent system. Here, the agent systems can generate collision-free paths automatically and autonomously. The parts and resources can be configured with a multi-agent system in the manufacturing process with minimal human intervention and production downtime, thereby achieving the customization and flexibility in the production process needed. 

  • 3.
    Svensson, Bo
    et al.
    University West, Department of Engineering Science, Division of Automation and Computer Engineering.
    Nilsson, Anders
    University West, Department of Engineering Science, Division of Automation and Computer Engineering.
    Danielsson, Fredrik
    University West, Department of Engineering Science, Division of Automation and Computer Engineering.
    P-SOP Agent Generator for Flexible Manufacturing2013In: Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364, Vol. 7, p. 341-353Article in journal (Refereed)
    Abstract [en]

    In a flexible manufacturing industry the production planner may need to make an updated description of the control strategy every day. The description contains all possible routing paths and is based on actual circumstances. It varies depending on, e.g., rebalancing due to market changes, scheduling of available operators, introduction of new parts, and rerouting due to a machine break down or planned service. A Part oriented Sequence of Operation (P-SOP) description language has been formulated to assist the production planner to be able to handle these flexible manufacturing scenarios. Multi-agents to control the manufacturing are automatically generated from the P-SOP description language. The P-SOP agent generator creates IEC 61131-3 PLC code that can be executed on standard PLC’s. An agent consists of a head, a communicator and a body. The head and the communicator are the automatically generated part with a predefined interface against the physical body, e.g., the mechanical/electrical structure of a robot. This feature eliminates the need for an external expert in PLC programming. The head contains many small sub-sequences for all operations that are defined for the specific body. The purpose of the communicator is to communicate with surrounding neighbour agents to form a multi-agent system. The formulated language and the P-SOP agent generator has been successfully tested and evaluated in an industrial environment.

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