Article ID: | iaor20172335 |
Volume: | 27 |
Issue: | 3 |
Start Page Number: | 345 |
End Page Number: | 365 |
Publication Date: | Jun 2017 |
Journal: | International Journal of Services and Operations Management |
Authors: | Nonino Fabio, Niaki Mojtaba Khorram, Komijan Alireza Rashidi, Dehghani Milad |
Keywords: | production, manufacturing industries, combinatorial optimization, scheduling, simulation |
The industry‐specific characteristics of food‐processing make production scheduling a hard and complex issue. Food processing has involved relatively minor concerns in several scheduling researches. In this paper, the authors address the integrated lot sizing and scheduling problem in batch production systems and propose a new mixed integer linear programming (MILP) formulation with multiple objective functions. The considered production system contains semi‐continuous flow lines with series‐parallel machines fed by parallel shared common resources. The model has been numerically and empirically validated using six weekly demand plan of a dairy company. The results demonstrate that both the operational cost and total completion time has been optimised.