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There are many algorithmic techniques – such as constraint programming, mathematical programming, meta-heuristics, local search, machine learning algorithms and evolutionary algorithms like genetic algorithms and simulated annealing – that are used to solve supply chain planning and scheduling problems. These algorithms can be classified into two main categories: heuristics and optimization.
The aim of optimization and heuristic solutions is the same – to provide the best possible solution to a given supply chain problem – but their outcomes are often dramatically different. During this webinar, we will examine the differences between optimization and heuristics, and explore the pros and cons of each approach.
Join one of our webinar sessions on December 20th to find out more about optimization versus heuristics, and which is the right approach for your business! There are 2 sessions: 09:00 am and 03:00 pm (CET / GMT+1).
