Optimization of an integrated batch production and maintenance scheduling on flow shop with two machines
被引:11
作者:
Zahedi, Zahedi
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Binus Univ, Dept Math, Sch Comp Sci, Syahdan St 9, Jakarta 11480, IndonesiaBinus Univ, Dept Math, Sch Comp Sci, Syahdan St 9, Jakarta 11480, Indonesia
Zahedi, Zahedi
[1
]
Salim, Ashadi
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机构:
Binus Univ, Dept Math, Sch Comp Sci, Syahdan St 9, Jakarta 11480, IndonesiaBinus Univ, Dept Math, Sch Comp Sci, Syahdan St 9, Jakarta 11480, Indonesia
Salim, Ashadi
[1
]
Yusriski, Rinto
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机构:
Jendral Ahmad Yani Univ UNJANI, Fac Engn, Dept Ind Engn, Gatot Subroto St, Bandung 40285, IndonesiaBinus Univ, Dept Math, Sch Comp Sci, Syahdan St 9, Jakarta 11480, Indonesia
Yusriski, Rinto
[2
]
Haris, Haris
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机构:
Trisakti Sch Transportat Management, IPN Kebon Nanas St, Jakarta 13410, IndonesiaBinus Univ, Dept Math, Sch Comp Sci, Syahdan St 9, Jakarta 11480, Indonesia
Haris, Haris
[3
]
机构:
[1] Binus Univ, Dept Math, Sch Comp Sci, Syahdan St 9, Jakarta 11480, Indonesia
[2] Jendral Ahmad Yani Univ UNJANI, Fac Engn, Dept Ind Engn, Gatot Subroto St, Bandung 40285, Indonesia
[3] Trisakti Sch Transportat Management, IPN Kebon Nanas St, Jakarta 13410, Indonesia
This paper discusses an integrated model of batch production and maintenance scheduling on flow shop with two deteriorating machines producing single item to be delivered at a due date. The model describes the trade-off between production and maintenance costs as the production run length increases on two machines. The objective function of the model is to minimize the total cost consisting of in process and completed part inventory costs, setup costs, preventive & corrective maintenance costs and rework costs on two machines. The step-wise optimization algorithm is developed to solve a mixed integer quadratic programming. Comparison with the practice and the model sensitivity analysis are demonstrated to clarify how the algorithm works. (C) 2019 by the authors licensee Growing Science, Canada