This paper studies the multi-item stochastic capacitated lot-sizing problem with stationary demand to minimise set-up, holding, and backorder costs. is a common in industry, concerning both inventory management production planning. We study applicability of Proximal Policy Optimisation (PPO) algorithm this problem, which type Deep Reinforcement Learning (DRL). The modelled as Markov Decision Pr...

Capacitated Lot Sizing Problem is a very important tactical level decision making problem that answers the questions of producing when and how many in dynamic demand environment. Solving Capacitated Lot Sizing Problem with Overtime decisions (CLSPO) and extensions derived from the fundamental structure optimally suffer from combinatorial nature of the problem. The aim of the study is to form a ...