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
S. R. Moosavi Tabatabaei & A. Makui, "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.
