Autor(es): Zanella, Fernando ; Vaz, Clara B.
Data: 2022
Identificador Persistente: http://hdl.handle.net/10198/27379
Origem: Biblioteca Digital da UPB
Projeto/bolsa: info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB/05757/2020/PT;
Autor(es): Zanella, Fernando ; Vaz, Clara B.
Data: 2022
Identificador Persistente: http://hdl.handle.net/10198/27379
Origem: Biblioteca Digital da UPB
Projeto/bolsa: info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB/05757/2020/PT;
Production planning is an essential and complex activity inside any company which requires simultaneous cooperation between everyone responsible for the decision-making process. Most of the time, small companies cannot afford to customize, implement and train people to use an Advanced Planning and Scheduling (APS) software that is available in the market. Thus, one feasible soluion for these companies is to develop their own simplified tools to support the decision-making process. When solving problems involving medium-term planning, more specifically aggregate production planning, it is possible to create an integer linear programming (LP) mathematical model and use it to find the optimal solution.