Positioning inventory in clinical trial supply chains

Production and Operations Management

Volumn 24, Issue 6, 2015, Pages 991-1011

  Fleischhacker, Adam ^a   Ninh, Anh ^b   Zhao, Yao ^c  

^a UNIVERSITY OF DELAWARE   (United States)

^b RUTGERS UNIVERSITY   (United States)

^c RUTGERS UNIVERSITY   (United States)

Author keywords

clinical trial supply chains; finite patient horizon; multi echelon inventory models; pharmaceutical supply chains

Indexed keywords

EID: 84931410507     PISSN: 10591478     EISSN: 19375956     Source Type: Journal    
DOI: 10.1111/poms.12302     Document Type: Article

References (53)

1. Abdelkafi, C., B. H. Beck, B. David, C. Druck, M. Horoho,. 2009. Balancing risk and costs to optimize the clinical supply chaina step beyond simulation. J. Pharm. Innov. 4 (3): 96-106.
2. Andrews, C., 2004. Strategic value of clinical supplies. Pharm. Eng. 24 (5): S1-S6.
3. Axsäter, S., 1990. Simple solution procedures for a class of two-echelon inventory problems. Ann. Oper. Res. 38 (1): 64-69.
4. Axsäter, S., 1993. Continuous review policies for multi-level inventory systems with stochastic demand. Handbooks Oper. Res. Manage. Sci. 4: 175-197.
5. Barnett International. 2011. Good clinical practice Q&A: Focus on study drug. J. Clin. Res. Best Practice 7 (7): 11-11.
6. Billionnet, A., S. Elloumi, A. Lambert,. 2008. Linear reformulations of integer quadratic programs. In Modelling, Computation and Optimization in Information Systems and Management Sciences. Springer, Berlin Heidelberg, 43-51.
7. Byrom, B., 2002. Using IVRS in clinical trial management. Appl. Clin. Trials 11 (10): 36-43.
8. Caggiano, K. E., P. L. Jackson, J. A. Muckstadt, J. A. Rappold,. 2007. Optimizing service parts inventory in a multiechelon, multi-item supply chain with time-based customer service-level agreements. Ann. Oper. Res. 55 (2): 303-318.
9. Caggiano, K. E., P. L. Jackson, J. A. Muckstadt, J. A. Rappold,. 2009. Efficient computation of time-based customer service levels in a multi-item, multi-echelon supply chain: A practical approach for inventory optimization. Eur. J. Oper. Res. 199 (3): 744-749.
10. Caglar, D., C.-L. Li, D. Simchi-Levi,. 2004. Two-echelon spare parts inventory system subject to a service constraint. IIE Trans. 36 (7): 655-666.
11. Chen, F., Y.-S. Zheng,. 1997. One-warehouse multiretailer systems with centralized stock information. Ann. Oper. Res. 45 (2): 275-287.
12. Dentcheva, D., A. Prékopa, A. Ruszczynski,. 2000. Concavity and efficient points of discrete distributions in probabilistic programming. Math. Program. 89 (1): 55-77.
13. European Commission. 2005. Commission directive of april 2005 laying down principles and detailed guidelines for good clinical practice as regards investigational medicinal products for human use, as well as the requirements for authorisation of the manufacturing or importation of such products. OJEU 91: 13-19.
14. Fleischhacker, A. J., Y. Zhao,. 2013. Contract Development and Manufacturing Costs During Clinical Development of a New Drug. Available at http://www.appliedclinicaltrialsonline.com/appliedclinicaltrials/Online+Extras/Contract-Development-and-Manufacturing-Costs-Durin/ArticleStandard/Article/detail/819754?contextCategoryId=50276 (accessed date August 5, 2013).
15. Getz, K. A., A. De Bruin,. 2000. Breaking the development speed barrier: Assessing successful practices of the fastest drug development companies. Drug Inf. J. 34 (3): 725-736.
16. Glickman, S. W., J. G. McHutchison, E. D. Peterson, C. B. Cairns, R. A. Harrington, R. M. Califf, K. A Schulman,. 2009. Ethical and scientific implications of the globalization of clinical research. N. Engl. J. Med. 360 (8): 816-823.
17. Graves, S. C., 1985. A multi-echelon inventory model for a repairable item with one-for-one replenishment. CMS 31 (10): 1247-1256.
18. Graves, S. C., 1996. A multiechelon inventory model with fixed replenishment intervals. CMS 42 (1): 1-18.
19. Grömping, U., 2006. Relative importance for linear regression in R: The package relaimpo. J. Stat. Softw. 17 (1): 1-27.
20. Grömping, U,. 2007. Estimators of relative importance in linear regression based on variance decomposition. Am. Stat. 61 (2): 11-11.
21. Hlavac, M,. 2013. stargazer: Latex Code for Well-Formatted Regression and Summary Statistics Tables, Harvard University, Cambridge, MA. R package version 3 (1).
22. Hopp, W. J., R. Q. Zhang, M. L. Spearman,. 1999. An easily implementable hierarchical heuristicfor a two-echelon spare parts distribution system. IIE Trans. 31 (10): 977-988.
23. Jackson, P. L., 1988. Stock allocation in a two-echelon distribution system or what to do until your ship comes in. CMS 34 (7): 880-895.
24. Klim, A,. 2010. Bric by bric: Laying a path to success. Pharmaceutical Manufacturing and Packing Sourcer, Summer 2010.
25. Kohner, N,. 2010. Temperature controlled shipping in clinical trials: A rising requirement. Almac Group White Paper.
26. Le Chevalier, T., D. Brisgand, J.-Y. Douillard, J.-L. Pujol, V. Alberola, A. Monnier, A. Riviere, P. Lianes, P. Chomy, S. Cigolari,. 1994. Randomized study of vinorelbine and cisplatin versus vindesine and cisplatin versus vinorelbine alone in advanced non-small-cell lung cancer: results of a european multicenter trial including 612 patients. Am. J. Clin. Oncol. 12 (2): 360-367.
27. Lindeman, R. H., P. F. Merenda, R. Z. Gold,. 1980. Introduction to Bivariate and Multivariate Analysis. Scott, Foresman, Glenview, IL.
28. Lis, F., D. Gourley, P. Wilson, M. Page,. 2009. Global supply chain management. Appl. Clin. Trials 18 (6): 58-62.
29. McDonnell, W., H. Mooraj,. 2009. Case study: Visualizing clinical trial demand. Industry Value Chain Strategies, April 14, 2009.
30. Muckstadt, J. A,. 2005. Analysis and Algorithms for Service Parts Supply Chains. Springer, New York, NY.
31. Oncolytics Biotech. 2003. Oncolytics biotech inc. announces completion of manufacturing process development for REOLYSIN. PR Newswire, February 6, 2003.
32. Özer, Ö., H. Xiong,. 2008. Stock positioning and performance estimation for distribution systems with service constraints. IIE Trans. 40 (12): 1141-1157.
33. Petaja, T., G. Strauss, H. C. Rumke, A. Poder, J. H. Richardus, B. Spiessens, D. Descamps, K. Hardt, M. Lehtinen, G. Dubin,. 2007. Immunization of early adolescent females with human papillomavirus type 16 and 18 L1 virus-like particle vaccine containing AS04 adjuvant. J. Adolesc. Health 40 (6): 564-571.
34. Peterson, M., B. Byrom, N. Dowlman, D. McEntegart,. 2004. Optimizing clinical trial supply requirements: simulation of computer-controlled supply chain management. Control. Clin. Trials 1 (4): 399-412.
35. Powell, M,. 2010. Presentation by Senior Vice President, Pharmaceutical Development, Bristol-Myers Squibb. Argyle Executive Forum's 2010 Leadership in pharmaceuticals & biotechnology conference. June 22, 2010. New York, NY. Argyle Executive Forum. Available at http://www.argyleforum.com/ Thought-Leadership (accessed date March 17, 2011).
36. Prékopa, A., 2003. Probabilistic programming. Handbooks Oper. Res. Manage. Sci. 10: 267-351.
37. Prékopa, A., B. Vizvári, T. Badics,. 1998. Programming under probabilistic constraint with discrete random variable. L. Grandinetti, et al. ed. New Trends in Mathematical Programming. Kluwer, Dordrecht, Boston, pp. 235-255.
38. Prékopa, A., B. Vizvári, T. Badics,. 1997. Programming under Probabilistic Constraint with Discrete Random Variables. F. Giannessi, T. Rapcsák, eds. New Trends in Mathematical Programming. Kluwer Academic Publishers, pp. 235-257.
39. Ravichandran, N,. 1995. Stochastic analysis of a continuous review perishable inventory system with positive lead time and poisson demand. Eur. J. Oper. Res. 84 (2): 444-457.
40. Roberts, T. G., T. J. Lynch, B. A. Chabner,. 2003. The phase iii trial in the era of targeted therapy: Unraveling the go or no go decision. Am. J. Clin. Oncol. 21 (19): 3683-3695.
41. Rowland, C., 2003. Clinical trials seen shifting overseas. Int. J. Health Serv. 34 (3): 555-556.
42. Shah, N., 2004. Pharmaceutical supply chains: Key issues and strategies for optimisation. Comput. Chem. Eng. 28 (6): 929-941.
43. Sherbrooke, C. C., 1968. Metric: A multi-echelon technique for recoverable item control. Ann. Oper. Res. 16 (1): 122-141.
44. Simchi-Levi, D., Y. Zhao,. 2005. Safety stock positioning in supply chains with stochastic lead times. Manuf. Serv. Oper. Manag. 7 (4): 295-318.
45. Simchi-Levi, D., Y. Zhao,. 2012. Performance evaluation of stochastic multi-echelon inventory systems: A survey. Adv. Oper. Res. 2012: 1-34.
46. Song, J.-S., 2000. A note on assemble-to-order systems with batch ordering. CMS 46 (5): 739-743.
47. Svoronos, A., P. Zipkin,. 1991. Evaluation of one-for-one replenishment policies for multiechelon inventory systems. CMS 37 (1): 68-83.
48. Thiers, F. A., A. J. Sinskey, E. R. Berndt,. 2008. Trends in the globalization of clinical trials. Nat. Rev. Drug Discov. 7 (1): 13-14.
49. Topan, E., Z. P. Bayindir,. 2012. Multi-item two-echelon spare parts inventory control problem with batch ordering in the central warehouse under compound poisson demand. J. Oper. Res. Soc. 63 (8): 1143-1152.
50. Vallance, P,. 2011. Presentation at the Cowen and Company 31st Annual Healthcare Conference in Boston. Cowen and Company Healthcare Conference. Available at http://www.gsk.com/investors/ (accessed date March 17, 2011).
51. Waters, S., I. Dowlman, K. Drake, L. Gamble, M. Lang, D. McEntegart,. 2010. Enhancing control of the medication supply chain in clinical trials managed by interactive voice response systems. Drug Inf. J. 44 (6): 727-740.
52. Zipkin, P., 1986. Stochastic leadtimes in continuous-time inventory models. Nav. Res. Log. Q. 33 (4): 763-774.
53. Zipkin, P,. 2000. Foundations of Inventory Management. Mcgraw-Hill, Irwin, NY.