Nowadays, we are facing the fourth industrial revolution, which is triggering businesses’ need to increase efficiency and productivity, in real time. To accomplish this challenge, decision systems to support the decision maker in real time and at operational level is necessary. In this work a bi-objective approach using a simulated annealing algorithm in industrial context is addressed, where a make-to-stock production strategy is followed. In the first stage, the total tardiness minimization is reached, followed by the total production flow time minimization. A case study from a multinational moulding industry operating with several parallel machines is used to illustrate the algorithm's applicability.