A generalised framework for simulation-based decision support for manufacturing

References

• Adams , M . Simulation as a tool for continuous process improvement . Proceedings of the 1999 Winter Simulation Conference . pp. 766 – 773 .
   Google Scholar
• Ahmad , MM and Dhafr , N . 2002 . Establishing and improving manufacturing performance measures . Robotics and Computer Integrated Manufacturing , 18 : 171 – 176 .
   Web of Science ®Google Scholar
• Al-Mubarak , F , Canel , C and Khumawala , BM . 2003 . A simulation study of focused cellular manufacturing as an alternative batch-processing layout . International Journal of Production Economics , 83 : 123 – 138 .
   Web of Science ®Google Scholar
• Al-Turki , U , Andijani , A and Arifulsalam , S . 2004 . A new dispatching rule for the stochastic single-machine scheduling problem . Simulation , 80 ( 3 ) : 165 – 170 .
   Google Scholar
• Berkley , BJ . 1993 . Effect of buffer capacity and sequencing rules on single-card Kanban system performance . International Journal of Production Research , 31 : 2875 – 2893 .
   Web of Science ®Google Scholar
• Cerda , C . Performance evaluation of an automated material handling system for a machining line using simulation . Proceedings of the 1995 Winter Simulation Conference . pp. 881 – 888 .
   Google Scholar
• Chang , TM and Yih , Y . 1994 . Generic kanban systems for dynamic environments . International Journal of Production Research , 32 ( 4 ) : 889 – 902 .
   Web of Science ®Google Scholar
• Chawla , R and Banerjee , A . A virtual environment for simulating manufacturing operations in 3D . Proceedings of the 2001 Winter Simulation Conference . pp. 991 – 997 .
   Google Scholar
• Chu , CH and Shih , WL . 1992 . Simulation studied in JIT production . International Journal of Production Research , 30 : 2573 – 2586 .
   Web of Science ®Google Scholar
• Davis , JJ and Goel , PK . Some practical considerations in selecting the automated material transport system for a semiconductor factory . IEEE/SEMI Advanced Semiconductor Manufacturing Conference . pp. 362 – 367 .
   Google Scholar
• Detty , RB and Yingling , JC . 2000 . Quantifying benefits of conversion to lean manufacturing with discrete event simulation: a case study . International Journal of Production Research , 38 ( 2 ) : 429 – 445 .
   Web of Science ®Google Scholar
• Garg , S , Vrat , P and Kanda , A . 2001 . Equipment flexibility vs. inventory: a simulation study of manufacturing systems . International Journal of Production Economics , 70 : 125 – 143 .
   Web of Science ®Google Scholar
• Gupta , SM and Brennan , L . 1995 . MRP systems under supply and process uncertainty in an integrated shop floor control environment . International Journal of Production Research , 33 ( 1 ) : 205 – 220 .
   Web of Science ®Google Scholar
• Hasenbein , J , Sigireddy , S and Wright , R . 2004 . A taking a queue from simulation . Industrial Engineer , 36 ( 8 ) : 39 – 43 .
   Google Scholar
• Harmonosky , CM . Implementation issues using simulation for real-time scheduling, control, and monitoring . Proceedings of the 1990 Winter Simulation Conference . pp. 595 – 598 .
   Google Scholar
• Kleijnen , J . 2003 . Supply chain simulation: a survey [online] , Available from http://center.kub.nl/staff/kleijnen/[Accessed May 2006]
   Google Scholar
• McConnell , PG and Medeiros , DJ . Real-time simulation for decision support in continuous flow manufacturing systems . Proceedings of the 1992 Winter Simulation Conference . pp. 936 – 944 .
   Google Scholar
• McLean , C and Leong , S . A framework for standard modular simulation . Proceedings of the 2002 Winter Simulation Conference . pp. 1613 – 1620 .
   Google Scholar
• Merchawl , NS and ElMaraghy , HA . 1998 . An analytical approach for using simulation in real-time decision making in FMSs . Journal of Manufacturing Systems , 17 ( 6 ) : 418 – 436 .
   Google Scholar
• Murray , S . A simulation-based cost modeling methodology for evaluation of interbay material handling in a semiconductor wafer fabrication . Proceedings of the 2000 Winter Simulation Conference . pp. 1510 – 1517 .
   Google Scholar
• Nadoli , G and Rangaswami , M . Analysis an integrated modeling methodology for material handling systems design . Proceedings of the 1993 Winter Simulation Conference . pp. 785 – 789 .
   Google Scholar
• Narayanaswamy , R . Strategic layout planning for lean manufacturing a LAYOPT tutorial . Proceedings of the 1997 Winter Simulation Conference . pp. 640 – 644 .
   Google Scholar
• Nazzal , D and Dauglas , BA . A simulation-based design framework for automated material handling systems in 300 mm fabrication facilities . Proceedings of the 2003 Winter Simulation Conference . pp. 1351 – 1359 .
   Google Scholar
• Newman , ST , Newnes , LB and Bell , R . 1998 . A multi-level modeling system for the design of flexible machining installations . International Journal of Production Research , 36 ( 9 ) : 2355 – 2376 .
   Web of Science ®Google Scholar
• Paprotny , I . Simulation based comparison of semiconductor AMHS alternatives: continuous flow VS. Overhead monorail . Proceedings of the 2000 Winter Simulation Conference . pp. 1333 – 1338 .
   Google Scholar
• Price , RN and Harrell , CR . Simulation modeling and optimization using ProModel . Proceedings of the 1999 Simulation Conference . pp. 208 – 214 .
   Google Scholar
• Quinn , RD . Design of an agile manufacturing workcell for light mechanical applications . Proceedings of the 1996 IEEE International Conference on Robotics and Automation . pp. 858 – 863 .
   Google Scholar
• Rajendran , C and Holthaus , O . 1999 . A comparative study of dispatching rules in dynamic flowshops and jobshops . European Journal of Operational Research , 116 ( 1 ) : 156 – 170 .
   Web of Science ®Google Scholar
• Ramasesh , R , Kulkarni , S and Jayakumar , M . 2001 . Agility in manufacturing systems: an exploratory modeling framework and simulation . Integrated Manufacturing Systems , 12 ( 7 ) : 534 – 548 .
   Google Scholar
• Rogers , P and Flanagan , MT . 1991 . On-line simulation for real-time scheduling of manufacturing systems . Industrial Engineering , 23 ( 12 ) : 37 – 43 .
   Google Scholar
• Schulz , M , Stanley , TD and Renelt , B . Simulation based decision support for future 300mm automated material handling . Proceedings of the 2000 Winter Simulation Conference . pp. 1518 – 1522 .
   Google Scholar
• Shafer , SM and Charnes , JM . 1995 . A simulation analysis of factors influencing loading practices in cellular manufacturing . International Journal of Production Research , 33 ( 1 ) : 279 – 290 .
   Web of Science ®Google Scholar
• Sly , DP . Dynamic simulation systematic layout design from scratch . Proceedings of the 1997 Winter Simulation Conference . pp. 645 – 648 .
   Google Scholar
• Smith , JS . 2003 . Survey on the use of simulation for manufacturing system design and operation . Journal of Manufacturing Systems , 22 ( 2 ) : 157 – 171 .
   Web of Science ®Google Scholar
• Sugimura , N , Tanimizu , Y and Ae. , S . Object-oriented simulation of real-time scheduling in holonic manufacturing systems . IFIP WG 5.7 Int. Conf. on Advances in Production Management Systems . pp. 465 – 473 .
   Google Scholar
• Sumichrast , RT , Rusell , RS and Taylor III , BW III . 1992 . A comparative analysis of sequencing procedures for mixed-model assembly lines in a just-in-time production system . International Journal of Production Research , 30 ( 1 ) : 199 – 214 .
   Web of Science ®Google Scholar
• Tayanithi , P , Manivannan , S and Banks , J . 1993 . Complexity reduction during interruption analysis in a flexible manufacturing system using knowledge-based on-line simulation . Journal of Manufacturing Systems , 12 ( 2 ) : 153 – 169 .
   Web of Science ®Google Scholar
• Terzi , S and Cavalieri , S . 2004 . Simulation in supply chain context: a survey . Computers in Industry , 53 : 3 – 16 .
   Web of Science ®Google Scholar
• Thoney , KA , Joines , JA and Hodgson , TJ . Rolling horizon scheduling in large job shops . Proceedings of the 2002 Winter Simulation Conference . pp. 1891 – 1896 .
   Google Scholar
• Tompkins , JA . 1996 . Facilities planning, , 2nd , John Wiley & Sons Inc .
   Google Scholar
• Treleven , M . 1989 . A review of the dual resource constrained system research . IIE Transactions , 3 ( 21 ) : 279 – 287 .
   Google Scholar
• Thompson , M . 1996 . Simulation-based scheduling: meeting the semiconductor wafer fabrication challenge . IIE Solutions , 28 ( 5 ) : 30 – 34 .
   Google Scholar
• Tummy , K . Dynamic integrating simulation with CAD tools for effective facility layout evaluation . Proceedings of the 1992 Winter Simulation Conference . pp. 995 – 999 .
   Google Scholar
• Vajpayee , SK . 1995 . Principles of computer-integrated manufacturing, , 3rd , Prentice-Hall Inc .
   Google Scholar
• Wang , YH , Yin , CW and Zhang , Y . 2003 . A multi-agent and distributed ruler based approach to production scheduling of agile manufacturing systems . International Journal of Computer Integrated Manufacturing , 16 ( 2 ) : 81 – 92 .
   Web of Science ®Google Scholar
• Williams , EJ and Celik , H . Analysis of conveyor systems within automotive final assembly . Proceedings of the 1998 Winter Simulation Conference . pp. 915 – 920 .
   Google Scholar
• Yavuz , IH and Satir , A . 1995 . A kanban-based simulation study of mixed model just-in-time manufacturing line . International Journal of Production Research , 33 ( 4 ) : 1027 – 1048 .
   Web of Science ®Google Scholar