A bicriterian flow shop scheduling using artificial neural network
Tóm tắt
Từ khóa
Tài liệu tham khảo
Campbell HR, Smith DM (1970) A heuristic algorithm for n-jobs m-machines sequencing problem. Manage Sci 16B:630−637
Elsayed EA, Boucher TO (1985) Analysis and control of production systems. Prentice-Hall, Upper Saddle River, NJ
Rajendran C (1995) Theory and methodology heuristics for scheduling in flow shop with multiple objectives. Eur J Oper Res 82:540−555
Sabuncuoglu I, Gurgun B (1996) A neural network model for scheduling problems. Eur J Oper Res 93:288–299
Jain AS, Meeran S (1999) Job shop scheduling using neural networks. Int J Prod Res 37:1250−1268
Guh RS, Tannock JDT (1999) Recognition of Control Chart patterns using a neural network approach. Int J Prod Res 37(8):1743−1765
Gaafar LK, Choueiki MH (2000) A neural network model for solving the lot sizing problem. Omega Int J Manage Sci 28:175−184
Lee I, Shaw MJ (2000) A neural-net approach to real time flow-shop sequencing. Comput Ind Eng 38:125−147
Chen R-M, Huang Y-M (2001) Competitive neural network to solve scheduling problems. Neurocomputing pp 177−196
Johnson SM (1954) Optimal two and three stage production schedules with setup times included. Naval Res Logist Q 1(1)
Palmer D (1965) Sequencing jobs through a multi-stage. Process in the minimum total time – a quick method of obtaining a near optimum. Oper Res Q 16:45−61
Gupta J (1971) A functional heuristic algorithm for the flow shop scheduling problem. Oper Res Q 22:27−39
Dannenbring D (1977) An evolution of flowshop scheduling heuristics. Manage Sci 23:174−1182
Enscore NME, Ham I (1983) A heuristic algorithm for the m-machine, n-jobs flow shop scheduling problem. Omega II:11−95
Baker KR (1974) Introduction to sequencing and scheduling Wiley, New York
Zurada JM (1992) Introduction to artificial neural systems. Jaico, Mumbai