In this paper, we introduce a methodology for safety stock placement in supply chain. The problem has two objectives: minimization of good's delivery time and inventory cost. Because the problem belongs to NP-Hard category, we develop a proper simulated annealing algorithm (SA) for solve the proposed methodology in large scaled problem. For verify the performance and efficiency of the methodology is shown via a numerical example. The obtained results imply the efficiency of proposed methodology and the ability of developed simulated annealing algorithms for achieve to near optimal solution.
Moosavi Tabatabaei, S. R. & Makui, A. (2009). Methodology for Safety Stock Placement in Supply Chain by Using Simulated Annealing Algorithm. (e20438). Advances in Industrial Engineering, 43(1), e20438
MLA
Moosavi Tabatabaei, S. R., & Makui, A. "Methodology for Safety Stock Placement in Supply Chain by Using Simulated Annealing Algorithm" .e20438 , Advances in Industrial Engineering, 43, 1, 2009, e20438.
HARVARD
Moosavi Tabatabaei, S. R., & Makui, A. (2009). 'Methodology for Safety Stock Placement in Supply Chain by Using Simulated Annealing Algorithm', Advances in Industrial Engineering, 43(1), e20438.
CHICAGO
Moosavi Tabatabaei, S. R. & Makui, A., "Methodology for Safety Stock Placement in Supply Chain by Using Simulated Annealing Algorithm." Advances in Industrial Engineering, 43 1 (2009): e20438,
VANCOUVER
Moosavi Tabatabaei S. R., Makui A. Methodology for Safety Stock Placement in Supply Chain by Using Simulated Annealing Algorithm. Adv. Ind. Eng. 2009;43(1):e20438.
