Author/Authors :
Delgoshaei، Aidin نويسنده University Putra Malaysia, Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, 43400 UPM, Serdang, Kuala Lumpur, Malaysia , , Parvin ، Masih نويسنده Department of Mechanical and Manufacturing Engineering, University Putra Malaysia, 43400 UPM, Serdang, Kuala Lumpur, Malaysia , , Ariffin، Mohd Khairol Anuar نويسنده Department of Mechanical and Manufacturing Engineering, University Putra Malaysia, 43400 UPM, Serdang, Kuala Lumpur, Malaysia ,
Abstract :
In this paper, a new method is proposed for scheduling dynamic cellular manufacturing systems (D-CMS) in the presence of uncertain product demands. The aim of this method is to control the process of trading off between in-house manufacturing and outsourcing while product demands are uncertain and can be varied from period to period. To solve the proposed problem, a hybrid Tabu Search and Simulated Annealing are developed to overcome hardness of the proposed model and then results are compared with a Branch and Bound and Simulated Annealing algorithms. A Taguchi method (L_27 orthogonal optimization) is used to estimate parameters of the proposed method in order to solve experiments derived from literature. An in-depth analysis is conducted on the results in consideration of various factors. For evaluating the system imbalance in dynamic market demands, a new measuring index is developed. Our findings indicate that the uncertain condition of market demands affects the routing of product parts and may induce machine-load variations that yield to cell-load diversity. The results showed that the proposed hybrid method can provide solutions with better quality.
