A Framework for Hazard Identification of a Collaborative Plug&amp;Produce System

Massouh, Bassam; Ramasamy, Sudha; Svensson, Bo; Danielsson, Fredrik

doi:10.1007/978-3-031-10525-8_12

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…Current production systems do not adapt to these changes, making them too dependent on market stability [1]. Market changes include fluctuating market demands that could exhaust current production capacities or keep them underutilized [1] or frequent changes in product specifications and customizations [2]. Adapting to these changes using dedicated manufacturing systems (DM) is not feasible since changing DM is difficult and expensive [3].…”

Section: Introductionmentioning

confidence: 99%

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Software-supported Hazards Identification for Plug & Produce Systems

Mosa,

Massouh,

Khabbazi

et al. 2023

Lecture Notes in Mechanical Engineering

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This work proposed a new automated hazard identification (AHI) approach for Pluge&Produce systems. After going through related standards and research works, the required inputs for automated hazard identification were determined. Then, software was presented to demonstrate using these inputs to perform AHI. This software can identify the resource and the emergent hazards. A new approach for identifying the emerging hazards was proposed. This approach uses the concepts of skill types and lookup tables to cover the wide variety of possible hazards when resources work together. Then display all identified hazards in a Hazard Identification Table (HIT). The proposed HIT is designed to support the persons working in risk reduction by drastically reducing the time needed for hazard identification and preparing them to proceed to the next steps in risk analyses. iv Affirmation This master's degree report, s, was written as part of the master's degree work needed to obtain a Master of Science with specialization in Robotics degree at University West. All material in this report that is not my own, is clearly identified and used in appropriate and correct way. The main part of the work included in this degree project has not previously been published or used for obtaining another degree.

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Section: Introductionmentioning

confidence: 99%

“…The concept of Reconfigurable Manufacturing Systems (RMS) was introduced to respond to the market's uncertainties. RMS is designed to rapidly change production output by reconfiguring the system [2]. In RMS, machines, Software, or material handling units can be rapidly added, removed, or modified as needed in a cost-effective way [4].…”

Section: Introductionmentioning

confidence: 99%

Software-supported Hazards Identification for Plug & Produce Systems

Mosa,

Massouh,

Khabbazi

et al. 2023

Lecture Notes in Mechanical Engineering

Self Cite

View full text Add to dashboard Cite

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Online Hazard Detection in Reconfigurable Plug & Produce Systems

Massouh,

Danielsson,

Ramasamy

et al. 2023

Lecture Notes in Mechanical Engineering

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Safe and reconfigurable manufacturing: safety aware multi-agent control for Plug & Produce system

Massouh,

Danielsson,

Lennartson

et al. 2024

Int J Adv Manuf Technol

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Plug & Produce aims to revolutionize manufacturing by enabling seamless machine integration into production processes without extensive programming. This concept, leveraging multi-agent systems (MAS), offers increased flexibility and faster production ramp-up times after reconfiguration. As automated manufacturing moves towards greater human integration, this paper addresses safe operation within the Plug & Produce concept. The main safety challenge arises from autonomous decision-making, as agents in the MAS lack awareness of the risk consequences of their behavior. Additionally, the difficulty of perceiving the system’s exact behavior leads to the implementation of overly restrictive safety measures. This limits the system’s flexibility and ability to make decisions for efficient production. This paper proposes a method utilizing multi-agent control to conduct automatic safety analysis and reason task allocations to avoid risks. The method’s benefits are the generation of control actions that comply with safety requirements during operation, eliminating the need for overly restrictive safety measures and allowing more effective equipment utilization. The method’s benefit is illustrated through a manufacturing scenario with two different configurations: one using a hazardous machine and the other using a less hazardous one. Formal verification using the model checker NuSMV demonstrated that safety requirements were satisfied in both configurations, without the need for manual modifications of the safety control system after reconfiguration. The results for this specific manufacturing scenario showed that there are more reachable states (20 states) in the safer second configuration, compared to the first configuration (16 states). This means that the presented control strategy dynamically adjusts the system’s behavior to confirm safety. Hence, this method maintains safety without fixed safety rules that limit the operations.

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A Framework for Hazard Identification of a Collaborative Plug&Produce System

Cited by 3 publications

References 17 publications

Software-supported Hazards Identification for Plug & Produce Systems

Software-supported Hazards Identification for Plug & Produce Systems

Online Hazard Detection in Reconfigurable Plug & Produce Systems

Safe and reconfigurable manufacturing: safety aware multi-agent control for Plug & Produce system

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