Pada penelitian ini membahas tentang optimisasi proses pemesinan dengan meminimasi total biaya pemesinan pada multi-pass turning operation. Ukuran performansi yang digunakan dalam persamaan optimisasi adalah minimasi biaya proses pemesinan. Besar biaya pemesinan dipengaruhi oleh penentuan nilai cutting speed , feeding speed, depth of cut .Nilai ketiga varibel ini tergantung dari material benda kerja dan jenis pahat, dari ketiga variabel tersebut harus memenuhi konstrain yang digunakan yaitu parameter bound, tool life constraints, power constraints, stable cutting region constraints, chip-tool interface temperature constraints, roughing and finishing parameter relation constraints. Untuk menentukan berapa nilai cutting speed, feeding speed, dan depth of cut agar total biaya didapatkan nilai yang paling minimal, maka dilakukan optimisasi proses pemesinan pada biaya pemesinan per unit dengan algoritma simulated annealing. Dari hasil optimisasi didapatkan total biaya pemesinan per unit yaitu Rp 13.361,- dengan nilai Vr = 103,7715, fr = 0,85283, dr = 2,9918, Vs = 186,4344, fs = 0,17027, ds = 2,9331, dan jumlah iterasi sebanyak 31 iterasi, dengan waktu komputasi 429,7884 detik. Sedangkan looping constraints dengan nilai 251258 yang artinya pengulangan dari pembangkitan bilangan random sebanyak 251258 kali dengan memperhatikan konstraint yang digunakan.

This research is discuss the machining process optimization by minimizing total costs in multi-pass turning operation. Performance measures used in the equation is the cost minimization optimization of machining process. The cost of production is affected by the determination of the value of cutting speed, feeding speed, depth of cut. The third value is variable depending on the workpiece material and cutting tool. of the three variables must be satisfy the constraint of the use is parameter bound, tool life constraints, power constraints, stable cutting region constraints, chip-tool interface temperature constraints, roughing and finishing parameter relation constraints. To determine the value of cutting speed, feeding speed, and depth of cut for the total cost of the minimum value is obtained. So the machining process optimization in production costs per unit with simulated annealing algorithm. From the resultet optimization the machining costs per unit is Rp 13.361 with a values Vr = 103,7715, fr = 0,85283, dr = 2,9918, Vs = 186,4344, fs = 0,17027, ds = 2,9331, and the amount of iterations is 31 iterations, the computation time of 429.7884 seconds. While the looping constraints of value is 251258, it is the mean repetition of generating random numbers is 251258 times with looking constraint used.

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