Advertisement

Journal of Medical Systems

, Volume 36, Issue 6, pp 3407–3421 | Cite as

Increasing the Reliability of Production Schedules in a Pharmaceutical Packaging Department

  • Dario Pacciarelli
  • Andrea D’ArianoEmail author
Original Paper

Abstract

This paper studies quantitative methods for evaluating the potential benefits of introducing new advanced tracking technologies in the pharmaceutical industry with special reference to radio frequency identification (RFID). RFID technology is an effective way for increasing the quality of the data that are used to generate production schedules, but there is a lack of scientific research to quantify the return on investment that can be achieved in practice. In this work, we distinguish two major sources of data unreliability: one is the inherent stochasticity of operations, which cannot be reduced by RFID, and the other one is the data estimation error, which can be significantly reduced by RFID. We focus on the marginal contribution of the latter quantity to the productivity of the packaging department of a pharmaceutical plant, propose a systematic method for assessing this impact and discuss its implementation in a practical test case. Our results confirm that advanced tracking technologies in combination with effective scheduling procedures show a significant potential for improving productivity. Extensions to other production environments and their issues associated with scheduling problems are also discussed.

Keywords

RFID Production scheduling Pharmaceutical manufacturing 

Notes

Acknowledgement

This work is partially supported by the research project FIRB “Advanced tracking system in intermodal freight transportation” of the Italian Ministry of Research, Grant number RBIP06BZW8.

References

  1. 1.
    Bertel, S., and Billaut, J.-C., A genetic algorithm for an industrial multiprocessor flow shop scheduling problem with recirculation. Eur. J. Oper. Res. 158(3):651–662, 2004.MathSciNetCrossRefGoogle Scholar
  2. 2.
    Biskup, D., A state-of-the-art review on scheduling with learning effects. Eur. J. Oper. Res. 188(2):315–329, 2008.MathSciNetzbMATHCrossRefGoogle Scholar
  3. 3.
    Blazenko, G. W., and Vandezande, K., Corporate holding of finished goods inventories. J. Econ. Bus. 55(3):255–266, 2003.CrossRefGoogle Scholar
  4. 4.
    Bottani, E., and Rizzi, A. Economical assessment of the impact of RFID technology and EPC system on the fast-moving consumer goods supply chain. Int. J. Prod. Econ. 112(2): 548–569, 2008.CrossRefGoogle Scholar
  5. 5.
    Cole, G. C., Pharmaceutical production facilities. Design and applications, 2nd edition. Boca Raton: CRC Press, 1998.Google Scholar
  6. 6.
    Corman, F., D’Ariano, A., Pacciarelli, D., and Pranzo, M., A tabu search algorithm for rerouting trains during rail operations. Transp. Res. Part B 44(1):175–192, 2010.CrossRefGoogle Scholar
  7. 7.
    Cortese, P. F., Gemmiti, F., Palazzi, B., Pizzonia, M., and Rimondini, M., Efficient and practical authentication of PUF-based RFID tags in supply chains. In: Proceedings of the 2010 IEEE international conference on RFID-technology and applications (RFID-TA 2010), pp. 182–188, Guangzhou, China, 17–19 June 2010.Google Scholar
  8. 8.
    de Kok, A. G., van Donselaar, K. H., and van Woensel, T., A break-even analysis of RFID technology for inventory sensitive to shrinkage. Int. J. Prod. Econ. 112(2):521–531, 2008.CrossRefGoogle Scholar
  9. 9.
    Edoh, T. O., and Teege, G., Using information technology for an improved pharmaceutical care delivery in developing countries. J. Med. Syst., 2011. doi: 10.1007/s10916-011-9717-y.zbMATHGoogle Scholar
  10. 10.
    Graham, R. L., Lawler, E. L., Lenstra, J. K., and Rinnooy Kan, A. H. G., Optimization and approximation in deterministic machine scheduling: a survey. Ann. Discrete Math. 5(1):287–326, 1979.MathSciNetzbMATHCrossRefGoogle Scholar
  11. 11.
    Gaukler, G. M., RFID in supply chain management. Ph.D. Thesis, Stanford University, 2005.Google Scholar
  12. 12.
    Hozak, K., and Hill, J. A., Issues and opportunities replanning and rescheduling frequencies. Int. J. Prod. Res. 47(18):4955–4970, 2009.zbMATHCrossRefGoogle Scholar
  13. 13.
    Kempf, K., Uzsoy R., Smith, S., and Gary, K., Evaluation and comparison of production schedules. Comput. Ind. 42(2–3):203–220, 2000.CrossRefGoogle Scholar
  14. 14.
    Kim, D. S., Porter, J. D., and Buddhakulsomsiri, J., Task time estimation in a multi-product manually operated workstation. Int. J. Prod. Econ. 114(1):239–251, 2008.CrossRefGoogle Scholar
  15. 15.
    Langer, N., Forman, C., Kekre, S., and Scheller-Wolf, A., Assessing the impact of RFID on return center logistics. Interfaces 37(6):501–514, 2007.CrossRefGoogle Scholar
  16. 16.
    Lee, H. L., and Özer, Ö., Unlocking the value of RFID. Prod. Oper. Manag. 16(1):40–64, 2007.CrossRefGoogle Scholar
  17. 17.
    Li, S., Visich, J. K., Radio frequency identification: supply chain impact and implementation challenges. Int. J. Integr. Supply Manag. 2(4):407–424, 2006.CrossRefGoogle Scholar
  18. 18.
    Lu, B. H., Bateman, R. J., and Cheng, K., RFID enabled manufacturing: fundamentals, methodology and applications. Int. J. Agile Syst. Manag. 1(1):73–92, 2006.Google Scholar
  19. 19.
    McKay, K. N., and Wiers, V. C. S., Integrated decision support for planning, scheduling, and dispatching tasks in a focused factory. Comput. Ind. 50(1):5–14, 2003.CrossRefGoogle Scholar
  20. 20.
    McKay, K. N., and Wiers, V. C. S., Planners, schedulers and dispatchers: a description of cognitive tasks in production control. Cogn. Technol. Work 5(2):82–93, 2003.CrossRefGoogle Scholar
  21. 21.
    McKay, K. N., Pinedo, M., and Webster, S., Practice-focused research issues for scheduling systems. Prod. Oper. Manag. 11(4):249–258, 2002.Google Scholar
  22. 22.
    Ngai, E. W. T., Cheng, T. C. E., Lai, K. H., Chai, P. Y. F., Choi, Y. S., and Sin, R. K. Y., Development of an RFID-based traceability system: experiences and lessons learned from an aircraft engineering company. Prod. Oper. Manag. 16(5):554–568, 2007.CrossRefGoogle Scholar
  23. 23.
    Ngai, E. W. T., Moon, K. K. L., Riggins, F. J., and Yi, C. Y. RFID research: an academic literature review (1995–2005) and future research directions. Int. J. Prod. Econ. 112(2):510–520, 2008.CrossRefGoogle Scholar
  24. 24.
    Nowicki, E., and Smutnicki, C., A fast taboo search algorithm for the job shop problem. Manage. Sci. 42(6):797–813, 1996.zbMATHCrossRefGoogle Scholar
  25. 25.
    Nowicki, E., and Smutnicki, C., An advanced tabu search algorithm for the job shop problem. J. Sched. 8(2):145–159, 2005.MathSciNetzbMATHCrossRefGoogle Scholar
  26. 26.
    Olson, J. R., and Schniederjans, M. J., A heuristic scheduling system for ceramic industrial coatings. Interfaces 30(5):16–22, 2000.CrossRefGoogle Scholar
  27. 27.
    Pacciarelli, D., The alternative graph formulation for solving complex factory scheduling problems. Int. J. Prod. Res. 40(15):3641–3653, 2002.zbMATHCrossRefGoogle Scholar
  28. 28.
    Pacciarelli, D., and Pranzo, M., Production scheduling in a steelmaking-continuous casting plant. Comput. Chem. Eng. 28(12):2823–2835, 2004.CrossRefGoogle Scholar
  29. 29.
    Pacciarelli, D., Meloni, C., and Pranzo, M., Models and methods for production scheduling in pharmaceutical industry. In: Kempf, K., Keskinocak, P., and Uzsoy, R. (Eds.), Planning production and inventories in the extended enterprise, international series in operations research & management science, Vol. 152, pp. 429–459, 2011.Google Scholar
  30. 30.
    Pacciarelli, D., D’Ariano, A., and Scotto, M., Optimal location of RFID antennas in a courier express warehouse. In: Proceedings of the 2nd international conference on industrial engineering and operations management (IEOM 2011), pp. 1–6, Kuala Lumpur, Malaysia, 22–24 January 2011.Google Scholar
  31. 31.
    Pacciarelli, D., D’Ariano, A., and Scotto, M., Applying RFID in warehouse operations of an Italian courier express company. NETNOMICS: Economic Research and Electronic Networking, 2011. doi: 10.1007/s11066-011-9059-4.Google Scholar
  32. 32.
    Pinedo, M., Scheduling. Theory, algorithms, and systems. Englewood Cliffs: Prentice-Hall, 1995.zbMATHGoogle Scholar
  33. 33.
    Pinedo, M., Planning and scheduling in manufacturing and services. Berlin: Springer, 2005.zbMATHGoogle Scholar
  34. 34.
    Portugal, V., and Robb, D. J., Production scheduling theory: just where is it applicable? Interfaces 30(6):64–76, 2000.CrossRefGoogle Scholar
  35. 35.
    RFID Journal, Midsize companies start to move, pp. 12–13, July–August 2008.Google Scholar
  36. 36.
    RFID Journal, Part 5: warehousing efficiencies, October 2002. http://www.rfidjournal.com/article/articleprint/200/-1/5.
  37. 37.
    RFID Journal, White paper: Lessons Learned from the Early Adopters, Published August 2008. http://www.rfidjournal.com/whitepapers/download/116.
  38. 38.
    Ruiz, R., Şerifoğlu, F. S., and Urlings, T., Modeling realistic hybrid flexible flowshop scheduling problems. Comput. Oper. Res. 35(4):1151–1175, 2008.zbMATHCrossRefGoogle Scholar
  39. 39.
    Schuster, E. W., Allen S. J., and Brock, D. L., Global RFID—the value of the EPCglobal network for supply chain management. Berlin: Springer, 2007.Google Scholar
  40. 40.
    Shah, N., Pharmaceutical supply chains: key issues and strategies for optimisation. Comput. Chem. Eng. 28(6–7):929–941, 2004.CrossRefGoogle Scholar
  41. 41.
    Stahl, J. E., Holt, J. K., and Gagliano, N. J., Understanding performance and behavior of tightly coupled outpatient systems using RFID: Initial experience. J. Med. Syst. 35(3): 291–297, 2011.CrossRefGoogle Scholar
  42. 42.
    Tajima, M., Strategic value of RFID in supply chain management. J. Purch. Supply Manage. 13(4):261–273, 2008.CrossRefGoogle Scholar
  43. 43.
    Thiesse, F., and Fleisch, E., On the value of location information to lot scheduling in complex manufacturing processes. Int. J. Prod. Econ. 112(2):532–547, 2008.CrossRefGoogle Scholar
  44. 44.
    Ting, S. L., Kwok, S. K., Tsang, A. H. C., and Lee, W. B., Critical elements and lessons learnt from the implementation of an RFID-enabled healthcare management system in a medical organization. J. Med. Syst. 35(4):657–669, 2011.CrossRefGoogle Scholar
  45. 45.
    Venditti, L., Meloni, C., and Pacciarelli, D., A tabu search algorithm for scheduling pharmaceutical packaging operations. Eur. J. Oper. Res. 202(2):538–546, 2008.CrossRefGoogle Scholar
  46. 46.
    Vieira, G. H., Herrmann, J. W., and Lin, E., Rescheduling manufacturing systems: a framework of strategies, policies, and methods. J. Sched. 6(1):39–62, 2003.MathSciNetzbMATHCrossRefGoogle Scholar
  47. 47.
    Vollmann, T. E., Berry, W. L., and Whybark, D. C., Manufacturing planning and control systems. Boston: Irwin/McGraw-Hill, 1997.Google Scholar
  48. 48.
    Voß, S., and Woodruff, D. L., Introduction to computational optimization models for production planning in a supply chain. Berlin: Springer, 2003.Google Scholar
  49. 49.
    Wamba, S. F., Lefebvre, L. A., Bendavid, Y., and Lefebvre, E., Exploring the impact of RFID technology and the EPC network on mobile B2B eCommerce: a case study in the retail industry. Int. J. Prod. Econ. 112(2):614–629, 2008.CrossRefGoogle Scholar
  50. 50.
    Wyld, D. C., and Jones, M. A., RFID is no fake: the adoption of radio frequency identification technology in the pharmaceutical supply chain. Int. J. Integr. Supply Manag. 3(2):156–171, 2007.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Dipartimento di Informatica e AutomazioneUniversità degli Studi Roma TreRomaItaly

Personalised recommendations