TY - JOUR
T1 - Optimal production rate in production planning problem with simulation optimisation approach by simulated annealing
AU - Sajadi, Seyed Mojtaba
AU - Rad, Mansoureh Farzam
PY - 2016/2/17
Y1 - 2016/2/17
N2 - In manufacturing environments, the production planning is at the high level of production and operation management. This paper intends to plan a flow shop manufacturing system producing multi products during multi periods. By planning, the optimal production rate of each product in every period will be determined. In order to specify the optimal production rate, three objectives must be met simultaneously. Planning is done in a stochastic situation and some uncertain parameters are considered for the problem. The simulation-optimisation approach was used and SA algorithm was chosen as the optimiser. Ultimately, after generating 225 new feasible solutions, the optimal production rate was determined. Results showed the trend of searching new solutions reached to a convergence and the average value of objective function decreased from 222,657 to 56,430 and it has been a remarkable reduction. So, the simulation optimisation approach is capable in solving uncertain production planning model even by considering multi objectives simultaneously.
AB - In manufacturing environments, the production planning is at the high level of production and operation management. This paper intends to plan a flow shop manufacturing system producing multi products during multi periods. By planning, the optimal production rate of each product in every period will be determined. In order to specify the optimal production rate, three objectives must be met simultaneously. Planning is done in a stochastic situation and some uncertain parameters are considered for the problem. The simulation-optimisation approach was used and SA algorithm was chosen as the optimiser. Ultimately, after generating 225 new feasible solutions, the optimal production rate was determined. Results showed the trend of searching new solutions reached to a convergence and the average value of objective function decreased from 222,657 to 56,430 and it has been a remarkable reduction. So, the simulation optimisation approach is capable in solving uncertain production planning model even by considering multi objectives simultaneously.
KW - Multi objectives
KW - Production planning
KW - Simulated annealing
KW - Simulation optimisation
UR - http://www.scopus.com/inward/record.url?scp=84959323987&partnerID=8YFLogxK
UR - https://www.inderscienceonline.com/doi/abs/10.1504/IJISE.2016.074709
U2 - 10.1504/IJISE.2016.074709
DO - 10.1504/IJISE.2016.074709
M3 - Article
AN - SCOPUS:84959323987
VL - 22
SP - 262
EP - 280
JO - International Journal of Industrial Systems Engineering
JF - International Journal of Industrial Systems Engineering
SN - 1748-5037
IS - 3
ER -