Developing a proof-of-concept solution to reliably forecast turnaround times

A common problem in steel-product manufacturing is the significantly high throughput time of steel products in comparison to the sum of their process times. Manufacturers have similar production methods which, upon investigation, are likely to yield improved time efficiency resulting in a higher relative touch time per product. To lower production times, it would be optimal to introduce production planning with higher levels of dynamicity, granularity and detail.

KORT is a project working towards developing a proof-of-concept solution that can reliably forecast turnaround times. This is achieved by influencing the waiting time of products through detailed production planning. The focus of this project will lie in determining the factors that influence throughput time and identifying opportunities to manipulate them. It will help to recognise and categorise the similarities our industry partners possess, based upon their physical and digital infrastructure.

This will form the backbone of a decision model which will steer the planning process more accurately. Historical and real-time ERP data is used to develop a modular framework that supports detailed and flexible production planning, resulting in a new, robust planning and control solution. We can then use this demonstrator as a new industry standard, or an object lesson to guide steel-product manufacturers when adjusting and/or improving their production planning.

Industry partners

Logo Suplacon
Logo Hoekman Roestvaststaal
Logo GS Metaal
Logo Disselhorst Metaal

WORK PACKAGES

Every FIP project is divided into seperate work packages, to clearly distinguish the several stages and purposes within the project. The KORT project consists of five work packages.

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WP 1: Assessment

An audit to assess the current production technology

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WP 2: Data Analysis

The data is analysed to get insight into the current situation

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WP 3: Modelling and Simulation

During this work package points of improvement can be identified

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WP 4: Optimisation and Demonstration

The current process will be optimised and demonstrated

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WP 5: Knowledge Transfer

Training of the workforce about the AM technique to be applied

For more information on KORT, feel free to reach out to

Vasos Arnaoutis

Vasos Arnaoutis

Research Engineer

Maaike Slot

Maaike Slot

Research Engineer

Cheng Guo

Cheng Guo

Research Engineer

Hari Subramani

Hari Subramani Palanisamy

Research Engineer