Production-planning

Service description

This service supports the optimisation of production planning and coordination using data-driven and AI-based methods. Manufacturing planning requires the coordination of production orders, machines, available capacities, material flows and logistics under changing operational constraints. The service analyses the customer’s existing planning process and available production data and applies optimisation methods to support the creation or improvement of production schedules. The objective is to reduce manual planning effort, improve the utilisation of available production resources and support faster and more consistent planning decisions.

Expected results:

Analysis of the existing production-planning problem, available data and relevant constraints

Optimised production plan or scheduling approach for the agreed manufacturing use case

Comparison of alternative production schedules against agreed planning criteria

Identification of opportunities to improve resource utilisation and reduce manual planning effort

Recommendations for further implementation or integration of the AI-based planning approach

Technical report summarising the planning model, evaluated scenarios, results, identified limitations and recommended next steps

Methodology:

Definition of customer needs, production-planning objectives and evaluation criteria

Customer provision of available production-planning data, including relevant production orders, processing times, machine and resource capacities, product routes, due dates, shift calendars and applicable logistics or planning constraints

Analysis of the existing production-planning process and available data

Identification of relevant production resources, dependencies, capacities and operational constraints

Data cleaning, preprocessing and preparation for optimization

Formulation of the production-planning or scheduling problem

Application and evaluation of suitable optimisation and AI-based planning methods using the available optimisation framework

Generation and comparison of alternative production plans or schedules

Evaluation of results against agreed planning criteria and the existing planning approach

Recommendations for further implementation or improvement of the production-planning solution

Target:

Manufacturing companies, production-planning solution providers and system integrators seeking to optimise production schedules, machine and resource utilisation, production capacities or internal logistics using AI-based and optimisation methods.

Improve your manufacturing
project with AI technology