메뉴 건너뛰기




Volumn 2, Issue , 2002, Pages 1157-1162

Optimization of buffer sizes in assembly systems using intelligent techniques

Author keywords

[No Author keywords available]

Indexed keywords

BUFFER STORAGE; COMPUTER SIMULATION; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMIZATION; SIMULATED ANNEALING; STOCHASTIC PROGRAMMING;

EID: 0036923468     PISSN: 02750708     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (55)

References (28)
  • 1
    • 0036682097 scopus 로고    scopus 로고
    • A comparison of the performance of artificial intelligence techniques for optimizing the number of kanbans
    • Alabas, C., F. Altiparmak and B. Dengiz. 2002. A comparison of the performance of artificial intelligence techniques for optimizing the number of kanbans. Accepted for Publication in Journal of the Operational Research Society.
    • (2002) Journal of the Operational Research Society
    • Alabas, C.1    Altiparmak, F.2    Dengiz, B.3
  • 2
    • 0031221996 scopus 로고    scopus 로고
    • Optimizing discrete stochastic systems using simulated annealing and simulation
    • Ahmed, M. A., T.M. Alkhamis and M. Hassan. 1997. Optimizing discrete stochastic systems using simulated annealing and simulation. Computers and Industrial Engineering. 32: 823-836.
    • (1997) Computers and Industrial Engineering , vol.32 , pp. 823-836
    • Ahmed, M.A.1    Alkhamis, T.M.2    Hassan, M.3
  • 4
    • 0032003280 scopus 로고    scopus 로고
    • Neural network as a simulation metamodel in economic analysis of risky projects
    • Badiru, A.B. and D.B. Sieger. 1998. Neural network as a simulation metamodel in economic analysis of risky projects. European Journal of Operational Research. 105: 130-142.
    • (1998) European Journal of Operational Research , vol.105 , pp. 130-142
    • Badiru, A.B.1    Sieger, D.B.2
  • 6
    • 0024173815 scopus 로고
    • Integrating a modified simulated annealing algorithm with the simulation of a manufacturing system to optimize buffer sizes in automatic assembly systems
    • Bulgak, A.A. and J.L. Sanders. 1988. Integrating a modified simulated annealing algorithm with the simulation of a manufacturing system to optimize buffer sizes in automatic assembly systems. Proceedings of the 1988 Winter Simulation Conference, 684-690.
    • (1988) Proceedings of the 1988 Winter Simulation Conference , pp. 684-690
    • Bulgak, A.A.1    Sanders, J.L.2
  • 7
    • 0001147217 scopus 로고
    • Buffer size optimization in asynchronous assembly systems using genetic algorithms
    • Bulgak, A.A., P.D. Diwan and B. Inozu. 1995. Buffer size optimization in asynchronous assembly systems using genetic algorithms. Computers and Industrial Engineering, 28:309-322.
    • (1995) Computers and Industrial Engineering , vol.28 , pp. 309-322
    • Bulgak, A.A.1    Diwan, P.D.2    Inozu, B.3
  • 10
    • 0024895108 scopus 로고
    • Neural Network models in simulation: A comparison with traditional modeling approaches
    • Fishwick, P. A. 1989. Neural Network models in simulation: a comparison with traditional modeling approaches. Proceedings of the 1989 Winter Simulation Conference, 702-710.
    • (1989) Proceedings of the 1989 Winter Simulation Conference , pp. 702-710
    • Fishwick, P.A.1
  • 11
    • 34249770616 scopus 로고
    • Optimization via simulation: A review
    • Fu, M. 1990. 1994a. Optimization via simulation: a review. Annals of Operations Research, 53: 199-247.
    • (1990) Annals of Operations Research , vol.53 , pp. 199-247
    • Fu, M.1
  • 15
    • 0031284208 scopus 로고    scopus 로고
    • An example of simulation optimization using a neural network metamodel: Finding the optimum number of kanbans in a manufacturing system
    • Hurrion, R.D. 1997. An example of simulation optimization using a neural network metamodel: finding the optimum number of kanbans in a manufacturing system. Journal of the Operational Research Society, 48: 1105-1112.
    • (1997) Journal of the Operational Research Society , vol.48 , pp. 1105-1112
    • Hurrion, R.D.1
  • 16
    • 0033454151 scopus 로고    scopus 로고
    • A comparison of factorial and random experimental design methods for the development of regression and neural network simulation metamodels
    • Hurrion, R. D. 1999. A comparison of factorial and random experimental design methods for the development of regression and neural network simulation metamodels. Journal of the Operational Research Society, 50: 1018-1033.
    • (1999) Journal of the Operational Research Society , vol.50 , pp. 1018-1033
    • Hurrion, R.D.1
  • 20
    • 0035370443 scopus 로고    scopus 로고
    • Empirical comparison of search algorithms for discrete event simulation
    • Lacksonen, T. 2001. Empirical comparison of search algorithms for discrete event simulation. Computers and Industrial Engineering, 40:133-148.
    • (2001) Computers and Industrial Engineering , vol.40 , pp. 133-148
    • Lacksonen, T.1
  • 21
    • 0022463446 scopus 로고
    • Convergence of an annealing algorithm
    • Lundy, M and A. Mees. 1986. Convergence of an annealing algorithm. Mathematical Programming, 34: 111-124.
    • (1986) Mathematical Programming , vol.34 , pp. 111-124
    • Lundy, M.1    Mees, A.2
  • 22
    • 26444479778 scopus 로고
    • Optimization by simulated annealing
    • Kirkpatrick, S., C. D. Gerlatt and N. P. Vecchi. 1983. Optimization by simulated annealing. Science, 220: 671-680.
    • (1983) Science , vol.220 , pp. 671-680
    • Kirkpatrick, S.1    Gerlatt, C.D.2    Vecchi, N.P.3
  • 24
    • 0040680398 scopus 로고    scopus 로고
    • Application of neural networks and simulation modeling in manufacturing system design
    • Mollaghasemi, M., K. LeCroy and M. Georgiopoulos. 1998. Application of Neural Networks and Simulation Modeling in Manufacturing System Design. Interfaces, 28:100-114.
    • (1998) Interfaces , vol.28 , pp. 100-114
    • Mollaghasemi, M.1    LeCroy, K.2    Georgiopoulos, M.3
  • 26
  • 27
    • 0025558461 scopus 로고
    • Optimization in simulation: Current issue and future outlook
    • Safizadeh, M.H. 1990. Optimization in simulation: current issue and future outlook. Naval Research Logistics Quarterly 37:807-825.
    • (1990) Naval Research Logistics Quarterly , vol.37 , pp. 807-825
    • Safizadeh, M.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.