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An approach for research and training in enterprise information system with RFID technology

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Abstract

Successful implementation of Radio Frequency Identification (RFID) in Enterprise Information System (EIS) depends on exploring the knowledge of RFID technology and providing EIS software training to potential users. The restriction of RFID technology and huge amount item-level data collection via RFID potentially increases the complexity of integrating with EIS. It raises several concerns such as reduced data accuracy, and increased exceptions leading to processes requiring more time to be developed, tested and maintained. However, this approach has not been entirely investigated so far. This paper proposes an integrated research on EIS and a training approach for students and employees who intend to integrate RFID with EIS software in an organization. This integrated research approach applies a typical EIS project workflow from automatic shop floor data collection to customer order fulfillment. This research identifies these stages as transaction, planning and scheduling, integration, execution and control, and automatic identification and data collection. For training and demonstration purpose, this research proposes prototype information systems that emulate the systems used in any organization. This ensures that the logic of the proposed methodology of integrating RFID and EIS software is consistent with that in the business organization. This paper discusses some of the important case studies that were conducted with the suggested prototype systems.

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References

  • Akturk M. S., Ozkan S. (2001) Integrated scheduling and tool management in flexible manufacturing systems. International Journal of Production Research 39(12): 2697–2722

    Article  Google Scholar 

  • Boyle, C. (1986). Using group technology for tool inventory control. In The 3rd biennial international machine tool technical conference (pp. 111–120). Chicago, USA: National Machine Tool Builders Association

  • Brewer A., Sloan N., Landers T. L. (1999) Intelligent tracking in manufacturing. Journal of Intelligent Manufacturing 10(3): 245–250. doi:10.1023/a:1008995707211

    Article  Google Scholar 

  • Cheng C.-Y., Barton D., Prabhu V. (2010) The servicisation of the cutting tool supply chain. International Journal of Production Research 48(1): 1–19

    Article  Google Scholar 

  • Cheng, C. Y., & Prabhu, V. (2007a). Applying RFID for cutting tool supply chain management. In Proceedings of the 2007 industrial engineering research conference pp. 637–642.

  • Cheng, C. Y., & Prabhu, V. (2007b). Complexity metrics for business process enabled by RFID and web services. In Proceedings of 17th international conference on flexible automation and intelligent manufacturing (FAIM 2007) pp. 812–819.

  • Cheng, C. Y., & Prabhu, V. (2007c). Performance modeling of business processes enabled by RFID and web services. In Proceedings of 6th IEEE/ACIS international conference on computer and information science (ICIS 2007) pp. 718–723.

  • Cheng, C.-Y., & Prabhu, V. (2010). Evaluation models for service oriented process in spare parts management. Journal of Intelligent Manufacturing, 1–15, doi:10.1007/s10845-010-0486-0.

  • Curtin J., Kauffman R., Riggins F. (2007) Making the ‘MOST’ out of RFID technology: A research agenda for the study of the adoption, usage and impact of RFID. Information Technology and Management 8(2): 87–110. doi:10.1007/s10799-007-0010-1

    Article  Google Scholar 

  • Gray A.E., Seidmann A., Stecke K.E. (1993) A synthesis of decision models for tool management in automated manufacturing.. Management Science 39(5): 549–567

    Article  Google Scholar 

  • HA H. (1999) Seven key elements of a successful implementation, and eight mistakes you will make anyway. Hosp Mater Manage Q 21(2): 76–82

    Google Scholar 

  • Hong K. K., Kim Y. G. (2002) The critical success factors for ERP implementation: An organizational fit perspective. Information & Management 40: 25–40

    Article  Google Scholar 

  • Hozak K., Collier D. A. (2008) RFID as an enabler of improved manufacturing performance*. Decision Sciences 39(4): 859–881. doi:10.1111/j.1540-5915.2008.00214.x

    Article  Google Scholar 

  • Huang G., Zhang Y., Chen X., Newman S. (2008) RFID-enabled real-time wireless manufacturing for adaptive assembly planning and control. Journal of Intelligent Manufacturing 19(6): 701–713. doi:10.1007/s10845-008-0121-5

    Article  Google Scholar 

  • Huang G., Zhang Y. F., Jiang P. Y. (2008) RFID-based wireless manufacturing for real-time management of job shop WIP inventories. The International Journal of Advanced Manufacturing Technology 36(7): 752–764. doi:10.1007/s00170-006-0897-4

    Article  Google Scholar 

  • Huang H.-P., Chang Y.-T. (2011) Optimal layout and deployment for RFID systems. Advanced Engineering Informatics 25(1): 4–10

    Article  Google Scholar 

  • Koc, M., Ni, J., Lee, J., & Bandyopadhyay, P. (2006). Introduction to e-manufacturing. In R. Zurawski (Ed.), Integration technologies for industrial automated systems (pp. Chapter 2, pp. 1–9). CRC.

  • Lamond B. F., Sodhi M. S. (2006) Minimizing the expected processing time on flexible machine with random tool lives. IIE Transactions 38: 1–11

    Article  Google Scholar 

  • Laughlin S. P. (1999) An ERP game plan. Journal of Business Strategy 20(1): 32–37

    Article  Google Scholar 

  • Lee Z., Lee J. (2001) An ERP implementation case study from a knowledge transfer perspective. Journal of Information Technology 15(4): 281–288

    Article  Google Scholar 

  • Liu E.-C. (2007) A research about maximum reading rate for stacking cuboid cartons with RFID tag. National Chin-Yi University of Technology, Taichung City

    Google Scholar 

  • Malakooti B., Deviprasad J. (1989) An interactive multiple criteria approach for parameter selection in metal cutting. Operations Research 37(5): 805–818

    Article  Google Scholar 

  • McCaskey D., Okrent M. (1999) Catching the ERP second wave. APICS-The Performance Advantage 12: 34–38

    Google Scholar 

  • Mehta R. (2003) Software modeling tool for analysis of manufacturing and supply networks. Pennsylvania State University, University Park

    Google Scholar 

  • Mohammed, N. A., Sivakumar, M., & Deavours, D. D. (2009). An RFID tag capable of free-space and on-metal operation. In Radio and wireless symposium, 2009. RWS ’09. IEEE, 18–22 Jan. 2009 (pp. 63–66).

  • Nikitin P. V., Rao K. V. S., Martinez R., Lam S. F. (2009) Sensitivity and impedance measurements of UHF RFID chips. Microwave Theory and Techniques, IEEE Transactions on 57(5): 1297–1302

    Article  Google Scholar 

  • Oldham, J., James, P., & Shaw, B. (2003). Delivering resource produc- tivity – the service solution. Green Alliance. http://www.green-alliance.org.uk/uploadedFiles/Publications/ServiceInnovationFinalRpt.pdf. Accessed 19 September 2011.

  • Park C. R., Eom K. H. (2011) RFID label tag design for metallic surface environments. Sensors 11(1): 938–948

    Article  Google Scholar 

  • Ptak C., Schragenheim E. (2000) ERP: Tools, techniques, and applications for integrating the supply chain. CRC Press, Boca Raton, FL

    Google Scholar 

  • Ranasinghe, D. C., Hall, D. M., Cole, P. H., & Engels, D. W. (2004). An embedded UHF RFID label antenna for tagging metallic objects. In Intelligent sensors, sensor networks and information processing conference, 2004. Proceedings of the 2004, 14–17 Dec. 2004 (pp. 343–347).

  • Salaka, V., Mehta, R., & Prabhu, V. V. (2005). Sensors-to-suppliers simulation modeling of manufacturing supply chains. In Proceedings of the 15th international conference on flexible automation and intelligent manufacturing (FAIM 2005) June 2005, Bilbao, Spain.

  • Salaka, V., & Prabhu, V. V. (2006). Project management for enterprise integration. In The tenth IEEE conference on enterprise computing (EDOC 2006), Hong Kong.

  • Shih-Kang K., Sung-Lin C., Chang-Tsun L. (2010) Design and development of RFID label for steel coil. Industrial Electronics, IEEE Transactions on 57(6): 2180–2186

    Article  Google Scholar 

  • Subramanian G. H., Hoffer C. S. (2005) An exploratory case study of enterprise resource planning implementation. International Journal of Enterprise Information Systems (IJEIS) 1(1): 23–38

    Article  Google Scholar 

  • Taylor F. W. (1907) On the art of cutting metals. The American Society of Mechanical Engineers, New York

    Google Scholar 

  • Umble E. J., Haft R. R., Umble M. M. (2003) Enterprise resource planning: Implementation procedures and critical success factors. European Journal of Operational Research 146(2): 241–257

    Article  Google Scholar 

  • Wamba S. F., Chatfield A. T. (2009) A contingency model for creating value from RFID supply chain network projects in logistics and manufacturing environments. European Journal of Information Systems 18(6): 615–636

    Article  Google Scholar 

Download references

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Correspondence to Chen-Yang Cheng.

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Cheng, CY., Prabhu, V. An approach for research and training in enterprise information system with RFID technology. J Intell Manuf 24, 527–540 (2013). https://doi.org/10.1007/s10845-011-0595-4

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