| dc.description.abstract | In this paper, the production planning and scheduling problem in the make-and-pack
industry is studied and addressed via a case study from a liquid manufacturing company.
This project aims to develop and integrate systematic solutions to the forecasting phase (1st
phase) and the scheduling phase (2nd phase) for a typical make-and-pack production
process via the studied company. The solution is formulated from two outstanding
candidates, ANFIS and MILP, for the forecasting and scheduling techniques respectively.
Next, a two-phase control panel was designated to forecast the production quantity by
running the ANFIS model in the MATLAB and then to generate the machine schedule by
running the MILP model in the CPLEX. Finally, various scenarios were created and applied
for verification and validation purposes. And the results show that the proposed solution is
effective in tackling the stated problems and can bring out numerous improvements to this
industry. | en_US |
