AGILE, FLEXIBLE AND RAPID RECONFIGURABLE PACKAGE

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Digital technology integration in manufacturing processes

Project: AGILEHAND

Publisher: FRAUNHOFER, UNIVERSITAT POLITÈCNICA DE VALÈNCIA, UNIVERSITÁ POLITECNICA DELLE MARCHE

Technology: Big Data, Data Analytics

Industry: Manufacturing, Food Packaging Market Medium

INTRODUCTION

Enhance efficiency and Resilience with the Self-Agile, Flexible, and Rapid Reconfigurable Suite.

The AgileHand Agile, Flexible, and Rapid Reconfigurable Suite is a solution designed for the manufacturing industry. This advanced suite streamlines production flow, increasing efficiency and productivity while enhancing company resilience through the digitalization of manufacturing processes.

This suite provides a seamless integration of digital technologies into the manufacturing processes, ensuring that your operations remain agile and adaptable to changing demands. The suite offers a cohesive and highly responsive production environment and is resilient to disruptions.

FEATURES/BENEFITS

 

The expected improvements of using this technologies' package are:

  • Increased efficiency: Streamlines production flow, reducing bottlenecks and enhancing overall efficiency.
  • Enhanced productivity: Optimizes operations, resulting in higher output and better use of resources.
  • Flexibility and adaptability: Provides a highly flexible and adaptable solution to meet evolving production needs.
  • Improved resilience: Digitalization of processes ensures your company can quickly adapt to changes and challenges.
  • Seamless integration: Easily integrates with existing systems, creating a cohesive and efficient production environment.

TECHNICAL INFORMATION

 

The expected improvements of using this technologies' package are:

  • Reduction of waiting times in product queues by 20%.
  • Increase degree of product traceability in a processing line by 30%.
  • Reduction of material shortage by 15%.
  • 25% reduction of orders backlog.
  • Reduction of production programme makespan by 15%.
  • 15% reduction of energy consumption defining the best setup/line-configuration

RESOURCES

The technology solutions that will be implemented in this package are:

  • Agilehand product-oriented traceability: Product-oriented traceability solution to collect and store production and logistics operations data linked to product orders.
  • Agilehand data-driven digital twin: Multi-layer toolkit Data-Driven Digital Twin for the real-time/near-real-time monitoring and synchronization of production and logistics systems.
  • Agilehand production reconfiguration: Optimization library implementing algorithms to optimize production layout and machine setup.
  • Agilehand production execution optimization toolkit: Optimization library implementing algorithms to optimize production execution: planning, scheduling, startup optimization, and process control considering collaborative (human-in-the-middle) approaches.

USE CASE

These solutions are already being implemented in the following use cases:

Frozen Fish

The goal of testing these solutions at PRODUMAR is to develop a comprehensive traceability system for tracking products like fish throughout the value chain. Beyond basic product tracking functions, additional features will be implemented to deliver valuable insights at each stage of the production process, enhancing both productivity and workplace safety for employees. 

Another key objective is to minimize the amount of manual documentation required from staff, streamline operations and reduce administrative burden.

Chicken fillets

This initiative aims to create a digital twin of the poultry processing plant, integrated with the real system to test and optimize procedures in an offline environment. This will help ensure the timely fulfilment of production orders, adherence to delivery deadlines, and compliance with order constraints during the planning phase.

The expected outcome is precise planning of operations, accounting for potential issues identified during processing, and providing decision support for effectively managing them. This approach will optimize resource use, reduce waste, and improve overall operational efficiency.

Fruit

The Self-agile reconfigurable package is currently being tested and implemented at Sant’Orsola, a leading small fruit producer in Italy. This initiative aims to create a digital twin of the raspberry processing plant. This digital twin will be integrated with the real system to simulate and evaluate optimized procedures offline, ensuring timely production order fulfilment, adherence to delivery schedules, and compliance with order constraints during the planning phase.

During processing, the system will support the production manager in managing discrepancies and addressing critical issues as they arise.

Vegetables

The self-agile, flexible, and rapid reconfigurable package is also being tested at Multiscan, a Spanish manufacturer. The solution is designed to enhance production line scheduling through algorithms that optimize machine setup adjustments and frequencies.

 The expected outcome is improved batch handling by determining the optimal sequence of batches, thereby minimizing machine setup time and maximizing efficiency.

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