Reverse Logistics and QualityManagement Issues: State-of-the-Art

  • Yiannis NikolaidisEmail author


It is generally accepted that the positive effects of quality management are several. An indicative list should undoubtedly contain the reduction of costs which are attributed to the poor quality of products or services, better relationships with suppliers and customers, faster distribution of products or services to market, reduced waste, increased added value to customers and better working conditions. More or less, these are also the benefits that companies should expect if quality management prevails in Reverse Logistics (RL) and recovery activities. Therefore, the main target of this book is to elucidate these benefits, discuss extensively for the first time the role of quality management in RL and examine broadly various quality issues and their interaction with RL. Taking the first step into this direction we exhibit the state-of-the-art regarding the interaction of various research areas on quality management and RL, by identifying the most important research articles that have recently appeared and probe the impact of quality issues on RL.


Life Cycle Assessment Quality Management Quality Level Life Cycle Cost Reverse Logistics 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Aras N, Aksen D (2008) Locating collection centers for distance- and incentive-dependent returns. Int J Prod Econ 111(2):316–333CrossRefGoogle Scholar
  2. 2.
    Aras N, Aksen D, Tanugur AG (2008) Locating collection centers for incentive dependent returns under a pick-up policy with capacitated vehicles. Eur J Oper Res 191(3):1223–1240zbMATHCrossRefGoogle Scholar
  3. 3.
    Aras N, Boyaci T, Verter V (2004) The effect of categorizing returned products in remanufacturing. IIE Trans 36(4):319–331CrossRefGoogle Scholar
  4. 4.
    Aras N, Verter V, Boyaci T (2006) Coordination and priority decisions in hybrid manufacturing/remanufacturing systems. Prod Oper Manag 15(4):528–543CrossRefGoogle Scholar
  5. 5.
    Bakal IS, Akcali E (2006) Effects of random yield in remanufacturing with price sensitive supply and demand. Prod Oper Manag 15(3):407–420CrossRefGoogle Scholar
  6. 6.
    Behret H, Korugan A (2009) Performance analysis of a hybrid system under quality impact of returns. Comput Ind Eng 56(2):507–520CrossRefGoogle Scholar
  7. 7.
    Blackburn JD, Guide VD, Souza GC, Van Wassenhove LV (2004) Reverse supply chains for commercial returns. Calif Manag Rev 46(2):6–22CrossRefGoogle Scholar
  8. 8.
    Bloemhof-Ruwaard JM, Fleischmann M, van Nunen JAEE (1999) Reviewing distribution issues in reverse logistics. New Trends Distrib Logist LNEMS 480:23–44CrossRefGoogle Scholar
  9. 9.
    Boon JE, Isaacs JA, Gupta SM (2000) Economic impact of aluminum-intensive vehicles on the u.s. automotive recycling infrastructure. J Ind Ecol 4(2):117–134CrossRefGoogle Scholar
  10. 10.
    Boon JE, Isaacs JA, Gupta SM (2003) End-of-life infrastructure economics for “clean vehicles” in the United States. J Ind Ecol 7(1):25–45CrossRefGoogle Scholar
  11. 11.
    Bovea MD, Wang B (2003) Identifying environmental improvement options by combining life cycle assessment and fuzzy set theory. Int J Prod Res 41(3):593–609zbMATHCrossRefGoogle Scholar
  12. 12.
    Bovea MD, Wang B (2007) Redesign methodology for developing environmentally conscious products. Int J Prod Res 45(18):4057–4072zbMATHCrossRefGoogle Scholar
  13. 13.
    Cristofari M, Deshmukh A,Wang B (1996) Green quality function deployment. Proc of the 4th international conference on environmentally conscious design and manufacturing, Cleveland, 23–25 July 1996, pp. 297–304Google Scholar
  14. 14.
    Crosby P (1979) Quality is free. McGraw-Hill, New YorkGoogle Scholar
  15. 15.
    Das Κ, Chowdhury AH (2012) Designing a reverse logistics network for optimal collection, recovery and quality-based product-mix planning. Int J Prod Econ 135(1):203–221CrossRefGoogle Scholar
  16. 16.
    De Brito MP, Dekker R (2002) Reverse logistics-a framework econometric. Institute report EI 2002–38. Erasmus University, RotterdamGoogle Scholar
  17. 17.
    Deming WE (1944) A view of the statistical method. Acc Rev 19(3):254–260Google Scholar
  18. 18.
    Dobos I, Richter K (2004) An extended production/recycling model with stationary demand and return rates. Int J Prod Econ 90(3):311–323CrossRefGoogle Scholar
  19. 19.
    Dobos I, Richter K (2006) A production/recycling model with quality consideration. Int J Prod Econ 104(2):571–579CrossRefGoogle Scholar
  20. 20.
    Dong C, Zhang C, Wang B (2003) Integration of green quality function deployment and fuzzy multi-attribute utility theory-based cost estimation for environmentally conscious product development. Int J Environ Conscious Des Manuf 11(1):12–28Google Scholar
  21. 21.
    El Saadany AMA, Jaber MY (2010) A production/remanufacturing inventory model with price and quality dependant return rate. Comput Ind Eng 58(3):352–362CrossRefGoogle Scholar
  22. 22.
    Ferguson N, Browne J (2001) Issues in end-of-life product recovery and reverse logistics. Prod Plan Control 12(5):534–547CrossRefGoogle Scholar
  23. 23.
    Ferguson M, Guide VDR Jr, Koca E, Souza GC (2009) The value of quality grading in remanufacturing. Prod Oper Manag 18(3):300–314CrossRefGoogle Scholar
  24. 24.
    Flapper SDP (1993) On the logistics of recycling. An introduction, Eindhoven University of Technology, Technical report TUE/BDK/LBS/93-16Google Scholar
  25. 25.
    Fleischmann M (2000) Quantitative models for reverse logistics, PhD thesis, Rotterdam, Erasmus UniversityGoogle Scholar
  26. 26.
    Fleischmann M, Beullens P, Bloemhof-Ruwaard JM, Wassenhove LNV (2001) The impact of product recovery on logistics network design. Prod Oper Manag 10(2):156–173CrossRefGoogle Scholar
  27. 27.
    Fleischmann M, Krikke HR, Dekker R, Flapper SD (2000) A characterization of logistics networks for product recovery. Omega 28(6):653–666CrossRefGoogle Scholar
  28. 28.
    Galbreth MR, Blackburn JD (2006) Optimal acquisition and sorting policies for remanufacturing. Prod Oper Manag 15(3):384–392CrossRefGoogle Scholar
  29. 29.
    Guide VDR Jr, Jayaraman V, Srivastava R, Benton WC (2000) Supply chain management for recoverable manufacturing systems. Interfaces 30(3):125–142CrossRefGoogle Scholar
  30. 30.
    Guide VDR Jr, Muyldermans L, Van Wassenhove LN (2005) Hewlett-Packard company unlocks the value potential from time sensitive returns. Interfaces 35(4):281–293CrossRefGoogle Scholar
  31. 31.
    Guide VDR Jr, Teunter RH, Van Wassenhove LN (2003) Matching demand and supply to maximize profits from remanufacturing. Manuf Serv Oper Manag 5(4):303–316CrossRefGoogle Scholar
  32. 32.
    Guide VDR, Van Wassenhove LN (2001) Managing product returns for remanufacturing. Prod Oper Manag 10(2):142–155CrossRefGoogle Scholar
  33. 33.
    Ilgin MA, Gupta SM (2010) Environmentally conscious manufacturing and product recovery (ECMPRO): a review of the state of the art. J Environ Manag 91(3):563–591CrossRefGoogle Scholar
  34. 34.
    Inderfurth K (2005) Impact of uncertainties on recovery behavior in a remanufacturing environment. Int J Phys Distrib Logist Manag 35(5):318–336CrossRefGoogle Scholar
  35. 35.
    Ishikawa K (1985) What is total quality control? The Japanese way, D. J. Lu (translation). Prentice Hall, New JerseyGoogle Scholar
  36. 36.
    Jaber MY, El Saadany AMA (2009) The production, remanufacture and waste disposal model with lost sales. Int J Prod Econ 120(1):115–124CrossRefGoogle Scholar
  37. 37.
    Jayaraman V (2006) Production planning for closed-loop supply chains with product recovery and reuse: An analytical approach. Int J Prod Res 44(5):981–998zbMATHCrossRefGoogle Scholar
  38. 38.
    Johar BO, Gupta SM (2008) Analysis of inventory management in reverse supply chain using stochastic dynamic programming model. Proc ASME Int Mech Eng Cong Expo 8:945–953Google Scholar
  39. 39.
    Jun H-B, Cusin M, Kiritsis D, Xirouchakis P (2007) A multi-objective evolutionary algorithm for EOL product recovery optimization: turbocharger case study. Int J Prod Res 45(19):4573–4594zbMATHCrossRefGoogle Scholar
  40. 40.
    Juran JM, Gryna FM (1951) Juran’s quality control handbook. Mcgraw-Hill, New YorkGoogle Scholar
  41. 41.
    Ketzenberg ME, Van der Laan E, Teunter RH (2006) The value of information in closed loop supply chains. Prod Oper Manag 15(3):393–406CrossRefGoogle Scholar
  42. 42.
    Klausner M, Grimm W, Hendrickson C, Horvath A (1998) Sensor-based data recording of use conditions for product takeback. Proc IEEE Int Sympos Electron Environ, Chicago, pp 138–143Google Scholar
  43. 43.
    Klausner M, Grimm WM, Horvath A (1999) Integrating product take-back and technical service. Proc IEEE Int Sympos Electron Environ, Danvers, pp 48–53Google Scholar
  44. 44.
    Kleber R, Minner S, Kiesmuller G (2002) A continuous time inventory model for a product recovery system with multiple options. Int J Prod Econ 79(2):121–141CrossRefGoogle Scholar
  45. 45.
    Krikke HR, Van Harten A, Schuur PC (1998) On a medium term product recovery and disposal strategy for durable assembly products. Int J Prod Res 36:111–139zbMATHCrossRefGoogle Scholar
  46. 46.
    Krikke HR, Van Harten A, Schuur PC (1999) Business case Oce: reverse logistic network re-design for copiers. OR Spektrum 23(3):381–409Google Scholar
  47. 47.
    Kuo TC, Wu HH (2003) Green products development by applying grey relational analysis and green quality function deployment. Int J Fuzzy Syst 5(4):229–238Google Scholar
  48. 48.
    Lamsali H, Liu J (2008) Optimizing the selection of product recovery options, industrial engineering and engineering management, IEEM 2008. IEEE international conference issue, pp. 1704–1708Google Scholar
  49. 49.
    Madu CN, Kuei C, Madu IE (2002) A hierarchic metric approach for integration of green issues in manufacturing: a paper recycling application. J Environ Manag 64(3):261–272CrossRefGoogle Scholar
  50. 50.
    Masui K, Sakao T, Kobayashi M, Inaba A (2003) Applying quality function deployment to environmentally conscious design. Int J Qual Reliab Manag 20(1):90–106CrossRefGoogle Scholar
  51. 51.
    Meadows D, Meadows D, Randers J, Behrens WW III (1972) The limits to growth. Universe Books, New YorkGoogle Scholar
  52. 52.
    Mehta C, Wang B (2001) Green quality function deployment III: a methodology for developing environmentally conscious products. J Des Manuf Autom 4(1):1–16CrossRefGoogle Scholar
  53. 53.
    Mitra S (2007) Revenue management for remanufactured products. Omega 35(5):553–562CrossRefGoogle Scholar
  54. 54.
    Nikolaidis Y (2009) A modelling framework for the acquisition and remanufacturing of used products. Int J Sustain Eng 2(3):154–170CrossRefGoogle Scholar
  55. 55.
    Nikolaidis Y (2012) Quality management issues in reverse logistics: reviewing the state of the art, working paper. University of Macedonia, Naoussa, GreeceGoogle Scholar
  56. 56.
    Park PJ, Tahara K (2008) Quantifying producer and consumer-based eco-efficiencies for the identification of key ecodesign issues. J Clean Prod 16(1):95–104CrossRefGoogle Scholar
  57. 57.
    Parlikad AK, McFarlane D (2010) Quantifying the impact of AIDC technologies for vehicle component recovery. Comput Ind Eng 59(2):296–307CrossRefGoogle Scholar
  58. 58.
    Pochampally KK, Gupta SM (2006) Total quality management (TQM) in a reverse supply Chain. Proc of the SPIE International Conference on Environmentally Conscious Manufacturing VI, Boston, Massachusetts, pp 139–148Google Scholar
  59. 59.
    Robotis A, Bhattacharya S, Van Wassenhove LN (2005) The effect of remanufacturing on procurement decisions for resellers in secondary markets. Eur J Oper Res 163(3):688–705zbMATHCrossRefGoogle Scholar
  60. 60.
    Rogers D, Tibben-Lembke RS (1999) Going backwards: reverse logistics trends and practices. RLEC Press, PittsburghGoogle Scholar
  61. 61.
    Sakao T (2007) A QFD-centred design methodology for environmentally conscious product design. Int J Prod Res 45(18):4143–4162zbMATHCrossRefGoogle Scholar
  62. 62.
    Santos-Reyes DE, Lawlor-Wright T (2001) A design for the environment methodology to support an environmental management system. Integr Manuf Syst 12(5):323–332CrossRefGoogle Scholar
  63. 63.
    Shewhart WA (1924) Some applications of statistical methods to the analysis of physical and engineering Data. Bell Syst Tech J 3(1):43–87Google Scholar
  64. 64.
    Souza G, Ketzenberg M, Guide VDR (2002) Capacitated remanufacturing with service level constraints. Prod Oper Manag 11(2):231–248CrossRefGoogle Scholar
  65. 65.
    Stock JR (1992) Reverse logistics. Council of Logistics Management, Oak BrookGoogle Scholar
  66. 66.
    Tagaras G, Zikopoulos C (2008) Optimal location and value of timely sorting of used items in a remanufacturing supply chain with multiple collection sites. Int J Prod Econ 115(2):424–432CrossRefGoogle Scholar
  67. 67.
    Taguchi G, Wu Y (1980) Introduction to off-line quality control. Central Japan Quality Association, Nagoya, JapanGoogle Scholar
  68. 68.
    Tang Y, Zhou M (2008) Human-in-the-loop disassembly modeling and planning. In: Gupta S, Lambert A (eds) Environment conscious manufacturing. CRC Press, Boca RatonGoogle Scholar
  69. 69.
    Tang Y, Zhou M, Gao M (2006) Fuzzy-petri-net based disassembly planning considering human factors. IEEE Trans Syst Man Cybern 36(4):718–726CrossRefGoogle Scholar
  70. 70.
    Thierry M, Salomon M, van Nunen J, van Wassenhove LN (1995) Strategic issues in product recovery management. Calif Manag Rev 37(2):114–135CrossRefGoogle Scholar
  71. 71.
    Toffel MW (2004) Strategic management of product recovery. Calif Manag Rev 46(2):120CrossRefGoogle Scholar
  72. 72.
    Tripathi M, Agrawal S, Pandey MK, Shankar R, Tiwari MK (2009) Real world disassembly modeling and sequencing problem: optimization by algorithm of self-guided ants (ASGA). Robot Computer-Integrated Manuf 25(3):483–496CrossRefGoogle Scholar
  73. 73.
    Ustundag A, Baysan S, Çevikcan E (2007) A conceptual framework for economic analysis of REID reverse logistics via simulation, 2007 1st Annual RFID Eurasia, art. no. 4368144Google Scholar
  74. 74.
    Vadde S, Kamarthi SV, Gupta SM (2007) Optimal pricing of reusable and recyclable components under alternative product acquisition mechanisms. Int J Prod Res 45(18–19):4621–4652zbMATHCrossRefGoogle Scholar
  75. 75.
    Van Wassenhove LN, Zikopoulos C (2010) On the effect of quality overestimation in remanufacturing. Int J Prod Res 48(18):5263–5280zbMATHCrossRefGoogle Scholar
  76. 76.
    Van Wassenhove LN, Zikopoulos C (2011) Quality in reverse. Ind Eng 43(3):41–45Google Scholar
  77. 77.
    Wadhwa S, Madaan J, Chan FTS (2009) Flexible decision modelling of reverse logistics system: a value adding MCDM approach for alternative selection. Robot Computer-Integrated Manuf 25(2):460–469CrossRefGoogle Scholar
  78. 78.
    Wong CWY, Lai K, Cheng TCE, Venus Lun YH (2012) The roles of stakeholder support and procedure-oriented management on asset recovery. Int J Prod Econ 135(2):584–594CrossRefGoogle Scholar
  79. 79.
    Yüksel H (2010) Design of automobile engines for remanufacture with quality function deployment. Int J Sustain Eng 3(3):170–180CrossRefGoogle Scholar
  80. 80.
    Zhang Y, Wang HP, Zhang C (1999) Green QFD-II: a life cycle approach for environmentally conscious manufacturing by integrating LCA and LCC into QFD matrices. Int J Prod Res 37(5):1075–1091zbMATHCrossRefGoogle Scholar
  81. 81.
    Zhou L, Disney SM, Lalwani CS, Wu H (2004) Reverse logistics: a study of bullwhip in continuous time. Proc World Cong Intell Control Autom (WCICA) 4:3539–3542Google Scholar
  82. 82.
    Zikopoulos C, Tagaras G (2007) Impact of uncertainty in the quality of returns on the profitability of a single-period refurbishing operation. Eur J Oper Res 182(1):205–225MathSciNetzbMATHCrossRefGoogle Scholar
  83. 83.
    Zikopoulos C, Tagaras G (2008) On the attractiveness of sorting before disassembly in remanufacturing. IIE Trans 40(3):313–323CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Department of Technology ManagementUniversity of MacedoniaNaoussaGreece

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