A novel data-driven approach to support decision-making during production scale-up of assembly systems

Chinnathai, Malarvizhi Kaniappan; Alkan, Buğra; Harrison, Robert

doi:10.1016/j.jmsy.2021.03.018

Cited by 15 publications

(2 citation statements)

References 50 publications

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“…In dynamic production environments like ours, the separation between AGV path planning and package assignment can lead to inefficiencies, such as increased travel times and resource underutilization, which our integrated approach aims to mitigate. Chinnathai et al [5] offered a data-driven approach for manufacturing system scale-ups, which was applied to a battery module assembly case. However, this approach lacks the flexibility required for systems where package types and priorities frequently change, underscoring the necessity for a more adaptive model that considers real-time data integration between AGV scheduling and package handling.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of AGV Sorting Systems in Pharmaceutical Distribution: A Two-Stage Package Assignment and Simulation Approach

baz,

Wang,

Yoon

et al. 2024

Preprint

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Automated Guided Vehicles (AGVs) have played an important role in modern factories or warehouses, replacing traditional conveyor-based sorting systems due to their flexibility and scalability. However, existing works on AGV sorting systems primarily focus on improving performance from mechanical perspectives or network optimization for routing design. There is a lack of discussion on how to provide a holistic assignment strategy that considers not only the assignment at the sorting area but also the impact of traffic flow from upstream stations in the system. This study introduces a novel two-stage optimization model for AGV sorting systems in central fill pharmacies, implemented via a simulation-based heuristic algorithm. The methodology is based on a detailed analysis of the sorting system layout, assessing performance through key performance indicators (KPIs) such as throughput, utilization, and cycle time, complemented by a sensitivity analysis regarding the number of AGVs. Results demonstrate broad applicability across different automated systems, suggesting significant implications for operational efficiency.

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Section: Literature Reviewmentioning

confidence: 99%

Optimization of AGV Sorting Systems in Pharmaceutical Distribution: A Two-Stage Package Assignment and Simulation Approach

baz,

Wang,

Yoon

et al. 2024

Preprint

View full text Add to dashboard Cite

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“…However, introducing such solutions are generally expensive, with requirements for compatible or updated infrastructure to work alongside energy condition monitoring and data analytics platforms. Therefore, the need for low-cost and lightweight solutions are apparent for digital transformations, especially with small and medium-sized enterprises (SMEs) [10]. This paper proposes an interoperable n-tier energy monitoring and visualisation solution architecture and example dashboards at multiple user levels, providing insights from the process of data acquisition to visualisation.…”

Section: Introductionmentioning

confidence: 99%

A Solution Architecture for Energy Monitoring and Visualisation in Smart Factories with Robotic Automation

Webb,

Tokhi,

Alkan

2024

Lecture Notes in Networks and Systems

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In today's manufacturing landscape, digital twin-enabled smart factories are revolutionising traditional practises by leveraging cutting-edge technologies such as Internet of Things (IoT) devices, advanced analytics, machine learning, and artificial intelligence (AI). These factories create virtual replicas, or digital twins, of their physical counterparts, enabling real-time monitoring, analysis, and control of manufacturing operations. One area of innovation within smart factories is the role of energy condition monitoring and data analytics, which has gained significant attention due to the challenges of interoperability in industrial environments and the emerging need for sustainable manufacturing systems. This paper proposes an energy monitoring and visualisation solution architecture and example data visualisation dashboards at multiple user levels. The proposed solution architecture is deployed on a case study that included robotic material handling, and the results showed that the proposed solution can provide valuable insights to the users regarding the energy consumption of shop-floor components and provide a cost-efficient solution for energy analytics that can be used within SMEs.

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Exploring Simulation as a Tool for Evaluation of Automation Assisted Assembly of Customized Products

Rao

Johansen

Ashourpour

2021

Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems

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A novel data-driven approach to support decision-making during production scale-up of assembly systems

Cited by 15 publications

References 50 publications

Optimization of AGV Sorting Systems in Pharmaceutical Distribution: A Two-Stage Package Assignment and Simulation Approach

Optimization of AGV Sorting Systems in Pharmaceutical Distribution: A Two-Stage Package Assignment and Simulation Approach

A Solution Architecture for Energy Monitoring and Visualisation in Smart Factories with Robotic Automation

Exploring Simulation as a Tool for Evaluation of Automation Assisted Assembly of Customized Products

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