References
- Ahn , HJ and Lee , H . 2004 . An agent-based dynamic information network for supply chain management . BT Technol. J. , 22 ( 2 ) : 18
- Blackhurst , J , Wu , T and O’Grady , P . 2005 . A decision support modeling methodology for supply chain, product and process design decisions . J. Oper. Manage. , 23 : 325 – 343 .
- Choi , TY and Eboch , K . 1998 . The TQM paradox: relations among TQM practices, plant performance, and customer satisfaction . J. Oper. Manage. , 17 : 59 – 75 .
- Davis , L . 1989 . Adapting operator probabilities in genetic algorithms . Proceedings of the Third International Conference on Genetic Algorithms . 1989 . pp. 61 – 69 .
- DeJong , KA . 1975 . “ The analysis of behaviors of a class of genetic adaptive systems ” . In PhD Thesis , Ann Arbor, MI : University of Michigan .
- Felix , TSC , Chung , SH and Wadhwa , S . 2005 . A Hybrid Genetic Algorithm for Production and Distribution , Vol. 33(4) , 345 Omega : Oxford .
- Fixson , SK . 2005 . Product architecture assessment: a tool to link product, process, and supply chain design decisions . J. Oper. Manage. , 23 : 345 – 369 .
- Goldberg , DE . 1989 . Sizing populations for serial and parallel genetic algorithms . Proceedings of the Third International Conference on Genetic Algorithms . 1989 , Morgan Kaufmann.
- Grefenstette , JJ . 1987 . Incorporating problem specific knowledge into genetic algorithms . Genetic Algorithms and Simulated Annealing , 4 : 42 – 60 .
- Han , C and Damrongwongsiri , M . 2005 . Stochastic modeling of a two-echelon multiple sourcing supply chain system with genetic algorithm . J. Manuf. Technol. Manage. , 16 ( 1 ) : 87
- Holland , JH . 1975 . Adaptation in Natural and Artificial Systems , MIT Press .
- Huang , GQ , Zhang , XY and Liang , L . 2005 . Towards integrated optimal configuration of platform products, manufacturing processes, and supply chains . J. Oper. Manage. , 23 : 267 – 290 .
- Ketokivi , MA and Schroeder , RG . 2004 . Strategic, structural contingency and institutional explanations in the adoption of innovative manufacturing practices . J. Oper. Manage. , 22 : 63 – 89 .
- Lau , HCW , Wong , CWY , Pun , KF and Chin , KS . 2003 . Virtual agent modeling of an agile supply chain infrastructure . Manage. Decision , 41 ( 7 ) : 625
- Liu , HL . 1988 . The economic design of C control chart . Proceedings of the 24th Conference of Chinese Society Quality Control . 1988 . pp. 99 – 117 .
- Piramuthu , S . 2005 . Machine learning for dynamic multi-product supply chain formation . Expert Systems with Applications , 29 ( 4 ) : 985 – 990 .
- Rodolfo , G-F and Wang , XZ . 2002 . A multi-agent system for chemical supply chain simulation and management support . OR Spectrum , 24 ( 3 ) : 343
- Roy , S , Bhunia , AK and Mukhopadhyay , S . 2005 . A genetic algorithmic approach on a deterministic inventory model for deteriorating items with shortages . Infor. , 43 ( 3 ) : 271
- Saniga , EM . 1991 . Joint statistical design of X-R charts . J. Qual. Technol. , 23 ( 2 ) : 156 – 161 .
- Savaskan , RC , Shantanu , B , Luk , N and Van , W . 2004 . Closed-loop supply chain models with product remanufacturing . Manage. Sci. , 50 ( 2 ) : 239
- Schaffer , JD and Morishima , A . 1987 . An adaptive crossover distribution mechanism for genetic algorithms . Proceedings of the Second International Conference on Genetic Algorithms . 1987 . pp. 36 – 40 .
- Srinivas , M and Patnaik , LM . 1994 . Adaptive probabilities of crossover and mutation in genetic algorithms . IEEE Trans. Syst., Man and Cybernetics , 24 ( 4 ) : 656 – 667 .
- Truong , TH and Azadivar , F . 2005 . Optimal design methodologies for configuration of supply chains . Int. J. Prod. Res. , 43 ( 11 ) : 2217
- Ulieru , M , Brennan , RW and Walker , SS . 2002 . The holonic enterprise: a model for Internet-enabled global manufacturing supply chain ad workflow management . Integr. Manuf. Sys. , 13 ( 8 ) : 38
- Whitley , D and Starkweather , T . 1990 . Genitor-II: a distributed genetic algorithm . Exp. Theory Artificial Intell. , 2 : 189 – 214 .
- Woodall , WH . 1986 . The design of CUSUM control charts . J. Qual. Technol. , 18 : 99 – 102 .