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Inventory centralization decision framework for spare parts

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Abstract

Within the current literature, there is a lack of a holistic and multidisciplinary approach to managing spare parts and their inventory configuration. This paper addresses this research gap by examining the key contextual factors which influence the degree of inventory centralization and proposes a novel holistic theoretical framework, the Inventory Centralization Decision Framework (ICDF), useful for practitioners. Through an extensive review of inventory management literature, six contextual factors influencing the degree of inventory centralization have been identified. Using the ICDF practitioners can assess the most advantageous inventory configuration of spare parts. The framework is tested on a large global company which, as a result, today actively uses the ICDF; thus showing its practical applicability.

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References

  1. Alvarez E, van der Heijden M (2014) On two-echelon inventory systems with Poisson demand and lost sales. Eur J Oper Res 235:334–338

    Article  MathSciNet  MATH  Google Scholar 

  2. Axsäter S, Howard C, Marklund J (2013) A distribution inventory model with transshipments from a support warehouse. IIE Trans 45:309–322

    Article  Google Scholar 

  3. Axsäter S (2005) A simple decision rule for decentralized two-echelon inventory control. Int J Prod Econ 93–94:53–59

    Article  Google Scholar 

  4. Azzi A, Battini D, Faccio M, Persona A, Sgarbossa F (2014) Inventory holding costs measurement: a multi-case study. Int J Logist Manag 25(1):109–132

    Article  Google Scholar 

  5. Babai MZ, Syntetos A, Teunter R (2014) Intermittent demand forecasting: an empirical study on accuracy and the risk of obsolescence. Int J Prod Econ 157:212–219

    Article  Google Scholar 

  6. Barney JB, Wright M, Ketchen DJ, (2001) The resource based view of the firm: ten years after 1991. J Manag 27:625–643

    Google Scholar 

  7. Braglia M, Frosolini M (2013) Virtual pooled inventories for equipment-intensive industries. An implementation in a paper district. Reliab Eng Syst Saf 112:26–37

    Article  Google Scholar 

  8. Cavalieri S, Garetti M, Macchi M, Pinto R (2008) A decision-making framework for managing maintenance spare parts. Prod Planning Control 19(4):379–396

    Article  Google Scholar 

  9. Chandler A (1962) Strategy and structure. The MIT Press, Cambridge

    Google Scholar 

  10. Christopher M, 2016, Logistics and supply chain management. Pearson Education Limited, New Jersey

    Google Scholar 

  11. Cohen MA, Agrawal N, Agrawal V (2009) Winning in the aftermarket. Harvard Bus Rev 84:129–138

    Google Scholar 

  12. Das C, Tyagi R (1997) Role of inventory and transportation costs in determining the optimal degree of centralization. Transp Res Part E 33(3):171–179

    Article  Google Scholar 

  13. Driessen M, Arts J, van Houtum GJ, Rustenburg JW, Huisman B (2015) Maintenance spare parts planning and control: a framework for control and agenda for future research. Prod Plan Control 26(5):407–426

    Google Scholar 

  14. Dyer WG, Wilkins AL (1991) Better stories, not better constructs, to generate better theory: a rejoinder to Eisenhardt. Acad Manag Rev 16(3):613–619

    Article  Google Scholar 

  15. Ghaddar B, Sakr N, Asiedu Y (2016) Spare parts stocking analysis using genetic programming. Eur J Oper Res 252:136–144

    Article  Google Scholar 

  16. Hahn GJ, Leucht A (2015) Managing inventory systems of slow-moving items. Int J Prod Econ 170:543–550

    Article  Google Scholar 

  17. Hansen ZNL, Larsen SB, Nielsen AP, Gregersen NG, Ghosh A, Groth A (2017) Combining or separating forward and reverse logistics. Int J Logist Manag 29(1):216–236. https://doi.org/10.1108/IJLM-12-2016-0299

  18. Hill T, Nicholson A, Westbrook R (1999) Closing the gap: a polemic on plant-based research in operations management. Int J Oper Prod Manag 19(2):139–156

    Article  Google Scholar 

  19. Hilmala O-P, Hejazi A, Ojala L (2005) Supply chain management research using case studies: a literature analysis. Int J Integr Supply Manag 1(3):294–311

    Article  Google Scholar 

  20. Hopp WJ, Spearman MC (2011) Factory physics. Waveland Press Inc., Long Grove. ISBN: 1-57766-739-5

  21. Hu Q, Boylan JE, Chen H, Labib A (2018) OR in spare parts management: a review. European J Oper Res 266:395–414

    Article  MATH  Google Scholar 

  22. Karsten F, Slikker M, van Houtum GJ (2012) Inventory pooling games for expensive, low-demand spare parts. Naval Res Logist 58:311–324

    Article  MathSciNet  Google Scholar 

  23. Karsten F, Basten RJI (2014) Pooling of spare parts between multiple users: How to share the benefits?” Eur J Oper Res 233:94–104

    Article  MathSciNet  MATH  Google Scholar 

  24. Kennedy WJ, Patterson JW, Fredendall LD (2002) An overview of recent literature on spare parts inventories. Int J Prod Econ 76:201–215

    Article  Google Scholar 

  25. Kranenburg AA, Van Houtum GJ (2007) Effect of commonality on spare parts provisioning costs for capital goods. Int J Prod Econ 108(1–2):221–227

    Article  Google Scholar 

  26. Kuhn TS (1996) The structure of scientific revolutions. The University of Chicago Press, Chicago

    Book  Google Scholar 

  27. Kvale S (1996) Inter views: an introduction to qualitative research interviewing. Sage, Thousand Oaks

    Google Scholar 

  28. Lee HL, Billington C (1993) Material management in decentralized supply chains. Oper Res 41(5):835–847

    Article  MATH  Google Scholar 

  29. Lengu D, Syntetos AA, Babai MZ (2014) Spare parts management: Linking distributional assumptions to demand classification. Eur J Oper Res 235:624–635

    Article  Google Scholar 

  30. Madadi A, Kurz ME, Ashayeri J (2010) Multi-level inventory management decisions with transportation cost consideration. Transp Res Part E 46:719–734

    Article  MATH  Google Scholar 

  31. Malterud K (2012) Systematic text condensation: a strategy for qualitative analysis. Scand J Publ Health 40:795–805

    Article  Google Scholar 

  32. Mandel JE (1974) A strategy for selecting and phrasing questions in an interview. J Bus Commun 12(1):17–23

    Article  Google Scholar 

  33. Meredith J (1998) Building operations management theory through case and field research. J Oper Manag 16(4):441–454

    Article  Google Scholar 

  34. Mintzberg H (1979) “The structuring of organizations: a synthesis of the research. Prentice-Hall, Englewood Cliffs

    Google Scholar 

  35. Patterson DA (2002) A simple way to estimate the cost of downtime. LISA conference 2002

  36. Pertusa-Ortega EM, Molina-Azorín JF, Claver-Cortés E (2010) Competitive strategy, structure and firm performance. Manag Decis 48(8):1282–1303

    Article  Google Scholar 

  37. Piplani R, Fu Y (2005) A coordination framework for supply chain inventory alignment. J Manuf Technol Manag 16(6):598–614

    Article  Google Scholar 

  38. Porter ME (1980) Competitive strategy: techniques for analyzing industries and competitors. Free Press, New York

    Google Scholar 

  39. Pyke DF, Cohen MA (1994) Multiproduct integrated production-distribution systems. Eur J Oper Res 74:18–49

    Article  MATH  Google Scholar 

  40. Richardson H (1995) Control your costs—then cut them. Transp Distrib 36(12):94–96

    Google Scholar 

  41. Rowley J, Slack F (2004) Conducting a literature review. Manag Res News 27(6):31–39

    Article  Google Scholar 

  42. Rudi N, Kapur S, Pyke DF (2001) A two-location inventory model with transshipment and local decision making. Manag Sci 47:1668–1680

    Article  MATH  Google Scholar 

  43. Schmitt AJ, Sun SA, Snyder LW, Shen ZJM (2014) Centralization versus decentralization: risk pooling, risk diversification, and supply chain disruptions. Omega 52:201–212

    Article  Google Scholar 

  44. Schonberger RL, Knod EM (1997) Operations management customer-focused principles. Irwin/Mcgraw-Hill, Boston

    Google Scholar 

  45. Seidel R (1983) Optimization of the availability of complex manufacturing systems—methods and examples. Int J Prod Res 21(2):153–162

    Article  Google Scholar 

  46. Singha K, Parthanadee P, Buddhakulsomsiri J (2015) A comparison of inventory management between decentralized and centralized distribution networks with backorder. Ind Eng Manag Sci Appl 349:485–490

    Google Scholar 

  47. Stoll J, Kopf R, Schneider J, Lanza G (2015) Criticality analysis of spare parts management: a multi-criteria classification regarding a cross-plant central warehouse strategy. Prod Eng Res Dev 9(2):225–235

    Article  Google Scholar 

  48. Thomas DR (2006) A general inductive approach for analyzing qualitative research evaluation data. Am J Eval 27(2):237–246

    Article  MathSciNet  Google Scholar 

  49. Tiacci L, Saetta S (2010) Reducing the mean supply delay of spare parts using lateral transshipments policies. Int J Prod Econ 133:182–191

    Article  Google Scholar 

  50. Tracht K, Mederer M, Schneider D (2012) Impact of parameter changes in a service provider closed-loop supply chain with customer-owned-stock. 19th CIRP International Conference on Life Cycle Engineering, Berkeley

  51. van Hoek RI, Harrison A, Christopher M (2001) Measuring agile capabilities in the supply chain. Int J Oper Prod Manag 21(1/2):126–148

    Article  Google Scholar 

  52. van Wingerden E, Basten RJI, Dekker R, Rustenburg WD (2014) More grip on inventory control through improved forecasting: a comparative study at three companies. Int J Prod Econ 157:220–237

    Article  Google Scholar 

  53. Voss C, Tsikriktsis N, Frohlich M (2002) Case research in operations management. Int J Oper Prod Manag 22(2):195–219

    Article  Google Scholar 

  54. Vrat P (2014) Material management. Springer Texts in Business and Economics

  55. Wagner SM, Jönke R, Eisingerich AB (2012) A strategic framework for spare parts logistics. Calif Manag Rev 54(4):69–92

    Article  Google Scholar 

  56. Wang W, Yue S (2015) An inventory pooling model for spare units of critical systems that serve multi-companies. Transp Res Part E 76:34–44

    Article  Google Scholar 

  57. Wanke PF, Saliby E (2009) Consolidation effects: whether and how inventories should be pooled. Transp Res Part E 45:679–692

    Google Scholar 

  58. Womack DT, Jones JP (1996) Lean thinking: banish waste and create wealth in your corporation, touchstone. ISBN: 0684819767

  59. Wong H, van Oudheusden D, Cattrysse D (2006) Cost allocation in spare parts inventory pooling. Transp Res Part E 43:370–386

    Article  Google Scholar 

  60. Xie J, Wang H, Hu R, Li C (2008) Optimization framework of multi-echelon inventory system for spare parts. In: Chinese control and decision conference. vol. 1–11, pp. 39220

  61. Yin RK (1994) Case study research: design and methods. Sage Publications, Thousand Oaks

    Google Scholar 

  62. Zainal Z (2007) Case study as a research method. Jurnal Kemanusiaan bil.9, Jun 2007, Available at http://psyking.net/htmlobj-3837/case_study_as_a_research_method.pdf

  63. Zech P (2017) Integrated location-inventory optimization in spare parts networks. In: Operations Research Proceedings 2016–2017, (Typen frmeår som Article (Book Chapter), pp. 37–42. ISBN: 9783319557021

  64. Zeithaml VA, Varadarajan P, Zeithaml CP (1988) The contingency approach: its foundations and relevance to theory building and research in marketing. Eur J Mark 22(7):37–64

    Article  Google Scholar 

  65. Zhao R, Deshpande V, Ryan JK (2005) Inventory sharing and rationing in decentralized dealer networks. Manag Sci 51(4):531–547

    Article  MATH  Google Scholar 

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  1. Technical University of Denmark, Lyngby, Denmark

    Nicklas Gregers Gregersen & Zaza Nadja Lee Hansen

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  1. Nicklas Gregers Gregersen
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Correspondence to Zaza Nadja Lee Hansen.

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Gregersen, N.G., Hansen, Z.N.L. Inventory centralization decision framework for spare parts. Prod. Eng. Res. Devel. 12, 353–365 (2018). https://doi.org/10.1007/s11740-018-0814-3

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