Maintenance Supplier Selection: Evaluating the Effect of Maintenance and Sourcing Strategies

Document Type : Research Paper

Authors

School of Industrial and Systems Engineering, College of Engineering, University of Tehran, Tehran, Iran.

Abstract

The advent of the globalization and outsourcing of products and services has resulted in more networked, highly dependent firms in supply chains; so supply chains’ vulnerability to several risks such as equipment breakdown is increased. Although optimizing maintenance supplier selection has a vital role in supply chain performance, it has not received enough attention in the literature. Due to the effect of maintenance strategies and supplier selection approaches, in this paper, three scenarios are considered based on various strategies as follows: 1-Preventive Maintenance with single supplier selection (PMs), 2- Preventive Maintenance with multiple supplier selection (PMm), and 3-Condition Based Maintenance with multiple supplier selection (CBMm). A fuzzy goal programming approach is applied to make trade-offs between several objectives. The efficacy of the model is validated through numerical examples, and results are compared to investigate the effect of implementing each scenario. The results show that in situations that reducing unreliability cost has higher priority for a decision-maker, CBMm is more efficient than other scenarios.

Keywords


M. A. Nekooie, M. Sheikhalishahi, and R. Hosnavi, “Supplier selection considering strategic and operational risks: a combined qualitative and quantitative approach,” Prod. Eng., vol. 9, no. 5–6, pp. 665–673, Dec. 2015, doi: 10.1007/s11740-015-0643-6.
[2]      D. J. Thomas and P. M. Griffin, “Coordinated supply chain management,” Eur. J. Oper. Res., vol. 94, no. 1, pp. 1–15, Oct. 1996, doi: 10.1016/0377-2217(96)00098-7.
[3]      D. Masi, G. J. L. Micheli, and E. Cagno, “A meta-model for choosing a supplier selection technique within an EPC company,” J. Purch. Supply Manag., vol. 19, no. 1, pp. 5–15, Mar. 2013, doi: 10.1016/j.pursup.2012.07.002.
[4]      M. E. González, G. Quesada, and C. A. M. Monge, “Determining the importance of the supplier selection process in manufacturing: A case study,” Int. J. Phys. Distrib. Logist. Manag., vol. 34, no. 6, pp. 492–504, 2004, doi: 10.1108/09600030410548550.
[5]      M. A. Salam and S. A. Khan, “Achieving supply chain excellence through supplier management: A case study of fast moving consumer goods,” Benchmarking, vol. 25, no. 9, pp. 4084–4102, Nov. 2018, doi: 10.1108/BIJ-02-2018-0042.
[6]      R. Verma and M. E. Pullman, “An analysis of the supplier selection process,” Omega, vol. 26, no. 6, pp. 739–750, Dec. 1998, doi: 10.1016/S0305-0483(98)00023-1.
[7]      R. D. Banker and I. S. Khosla, “Economics of operations management: A research perspective,” J. Oper. Manag., vol. 12, no. 3–4, pp. 423–435, Jun. 1995, doi: 10.1016/0272-6963(95)00022-K.
[8]      M. A. Vonderembse and M. Tracey, “The Impact of Supplier Selection Criteria and Supplier Involvement on Manufacturing Performance,” J. Supply Chain Manag., vol. 35, no. 3, pp. 33–39, Jun. 1999, doi: 10.1111/j.1745-493X.1999.tb00060.x.
[9]      C. A. Weber, J. R. Current, and W. C. Benton, “Vendor selection criteria and methods,” European Journal of Operational Research, vol. 50, no. 1. North-Holland, pp. 2–18, Jan. 07, 1991, doi: 10.1016/0377-2217(91)90033-R.
[10]    P. R. Kleindorfer and G. H. Saad, “Managing Disruption Risks in Supply Chains,” Prod. Oper. Manag., vol. 14, no. 1, pp. 53–68, Jan. 2009, doi: 10.1111/j.1937-5956.2005.tb00009.x.
[11]    A. Oke and M. Gopalakrishnan, “Managing disruptions in supply chains: A case study of a retail supply chain,” Int. J. Prod. Econ., vol. 118, no. 1, pp. 168–174, Mar. 2009, doi: 10.1016/j.ijpe.2008.08.045.
[12]    V. Babich, G. Aydin, P.-Y. Brunet, J. Keppo, and R. Saigal, “Risk, Financing and the Optimal Number of Suppliers,” SSRN Electron. J., Dec. 2011, doi: 10.2139/ssrn.912679.
[13]    D. G. Woodward, “Life cycle costing - Theory, information acquisition and application,” Int. J. Proj. Manag., vol. 15, no. 6, pp. 335–344, Dec. 1997, doi: 10.1016/S0263-7863(96)00089-0.
[14]    A. Kleyner and P. Sandborn, “Minimizing life cycle cost by managing product reliability via validation plan and warranty return cost,” Int. J. Prod. Econ., vol. 112, no. 2, pp. 796–807, Apr. 2008, doi: 10.1016/j.ijpe.2007.07.001.
[15]    M. Mathew, R. K. Chakrabortty, and M. J. Ryan, “Selection of an Optimal Maintenance Strategy Under Uncertain Conditions: An Interval Type-2 Fuzzy AHP-TOPSIS Method,” IEEE Trans. Eng. Manag., pp. 1–14, Mar. 2020, doi: 10.1109/tem.2020.2977141.
[16]    A. Rashidi Komeijan and M. Shabankareh, “Mathematical Model for Fleet Assignment with Maintenance and Aircraft Ramping Scheduling,” Adv. Ind. Eng., vol. 52, no. 1, pp. 61–72, 2018.
[17]    W. Wang and A. H. Christer, “Towards a general condition based maintenance model for a stochastic dynamic system,” J. Oper. Res. Soc., vol. 51, no. 2, pp. 145–155, 2000, doi: 10.1057/palgrave.jors.2600863.
[18]    S. Lu, Y.-C. Tu, and H. Lu, “Predictive condition-based maintenance for continuously deteriorating systems,” Qual. Reliab. Eng. Int., vol. 23, no. 1, pp. 71–81, Feb. 2007, doi: 10.1002/qre.823.
[19]    J. H. Shin and H. B. Jun, “On condition based maintenance policy,” J. Comput. Des. Eng., vol. 2, no. 2, pp. 119–127, Apr. 2015, doi: 10.1016/j.jcde.2014.12.006.
[20]    S. Alaswad and Y. Xiang, “A review on condition-based maintenance optimization models for stochastically deteriorating system,” Reliab. Eng. Syst. Saf., vol. 157, pp. 54–63, Jan. 2017, doi: 10.1016/j.ress.2016.08.009.
[21]    V. Veleva and M. Ellenbecker, “Indicators of sustainable production: Framework and methodology,” J. Clean. Prod., vol. 9, no. 6, pp. 519–549, Dec. 2001, doi: 10.1016/S0959-6526(01)00010-5.
[22]    A. Ristono, Pratikto, P. Budi Santoso, and I. Pambudi Tama, “A literature review of design of criteria for supplier selection,” Journal of Industrial Engineering and Management, vol. 11, no. 4. Universitat Politecnica de Catalunya, pp. 680–696, Oct. 10, 2018, doi: 10.3926/jiem.2203.
[23]    N. Costantino and R. Pellegrino, “Choosing between single and multiple sourcing based on supplier default risk: A real options approach,” J. Purch. Supply Manag., vol. 16, no. 1, pp. 27–40, Mar. 2010, doi: 10.1016/j.pursup.2009.08.001.
[24]    W. Ho, T. Zheng, H. Yildiz, and S. Talluri, “Supply chain risk management: A literature review,” International Journal of Production Research, vol. 53, no. 16. Taylor and Francis Ltd., pp. 5031–5069, Aug. 18, 2015, doi: 10.1080/00207543.2015.1030467.
[25]    I. Kilubi, “The strategies of supply chain risk management – a synthesis and classification,” International Journal of Logistics Research and Applications, vol. 19, no. 6. Taylor and Francis Ltd., pp. 604–629, Nov. 01, 2016, doi: 10.1080/13675567.2016.1150440.
[26]    B. Fahimnia, C. S. Tang, H. Davarzani, and J. Sarkis, “Quantitative models for managing supply chain risks: A review,” European Journal of Operational Research, vol. 247, no. 1. Elsevier, pp. 1–15, Nov. 16, 2015, doi: 10.1016/j.ejor.2015.04.034.
[27]    I. Heckmann, T. Comes, and S. Nickel, “A critical review on supply chain risk - Definition, measure and modeling,” Omega (United Kingdom), vol. 52. Elsevier Ltd, pp. 119–132, Apr. 01, 2015, doi: 10.1016/j.omega.2014.10.004.
[28]    D. Bandaly, L. Shanker, Y. Kahyaoglu, and A. Satir, “Supply chain risk management-II: A review of operational, financial and integrated approaches,” Risk Management, vol. 15, no. 1. Palgrave, pp. 1–31, Feb. 25, 2013, doi: 10.1057/rm.2012.8.
[29]    I. Kilubi and H.-D. Haasis, “Supply chain risk management enablers-A framework development through systematic review of the literature from 2000 to 2015,” 2015. Accessed: Apr. 24, 2020. [Online]. Available: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2728911.
[30]    V. Rajagopal, S. Prasanna Venkatesan, and M. Goh, “Decision-making models for supply chain risk mitigation: A review,” Computers and Industrial Engineering, vol. 113. Elsevier Ltd, pp. 646–682, Nov. 01, 2017, doi: 10.1016/j.cie.2017.09.043.
[31]    L. V. Snyder, Z. Atan, P. Peng, Y. Rong, A. J. Schmitt, and B. Sinsoysal, “OR/MS models for supply chain disruptions: A review,” IIE Transactions (Institute of Industrial Engineers), vol. 48, no. 2. Taylor and Francis Ltd., pp. 89–109, Feb. 01, 2016, doi: 10.1080/0740817X.2015.1067735.
[32]    C. Elock Son, “Supply Chain Risk Management: A Review of Thirteen Years of Research,” Am. J. Ind. Bus. Manag., vol. 08, no. 12, pp. 2294–2320, Dec. 2018, doi: 10.4236/ajibm.2018.812154.
[33]    M. V. C. Fagundes, E. O. Teles, S. A. B. Vieira de Melo, and F. G. M. Freires, “Decision-making models and support systems for supply chain risk: literature mapping and future research agenda,” Eur. Res. Manag. Bus. Econ., Mar. 2020, doi: 10.1016/j.iedeen.2020.02.001.
[34]    S. H. Zegordi and H. Davarzani, “Developing a supply chain disruption analysis model: Application of colored Petri-nets,” in Expert Systems with Applications, Feb. 2012, vol. 39, no. 2, pp. 2102–2111, doi: 10.1016/j.eswa.2011.07.137.
[35]    G. P. Cachon and M. A. Lariviere, “Supply Chain Coordination With Revenue-Sharing Contracts: Strengths and Limitations,” pubsonline.informs.org, vol. 51, no. 1, pp. 30–44, Jan. 2005, doi: 10.1287/mnsc.1040.0215.
[36]    H. Song and X. Gao, “Green supply chain game model and analysis under revenue-sharing contract,” J. Clean. Prod., vol. 170, pp. 183–192, Jan. 2018, doi: 10.1016/j.jclepro.2017.09.138.
[37]    J. Clausen, J. Larsen, A. Larsen, and J. Hansen, “Disruption management-operations research between planning and execution,” Or/ms Today, vol. 28, no. 5, pp. 40–43, 2001, Accessed: Apr. 24, 2020. [Online]. Available: https://www.academia.edu/download/30969045/404.pdf.
[38]    X. Qi, Jonathan F. Bard, and Gang.Yu., “Supply chain coordination with demand disruptions,” Omega, vol. 32, no. 4, pp. 301–312, 2004, Accessed: Apr. 24, 2020. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0305048303001658.
[39]    M.-C. Yu and M. Goh, “A multi-objective approach to supply chain visibility and risk,” Eur. J. Oper. Res. , vol. 233, no. 1, pp. 125–130, Feb. 2014, Accessed: Apr. 24, 2020. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0377221713007212.
[40]    S. DuHadway, S. Carnovale, and B. Hazen, “Understanding risk management for intentional supply chain disruptions: risk detection, risk mitigation, and risk recovery,” Ann. Oper. Res., vol. 283, no. 1–2, pp. 179–198, Dec. 2019, doi: 10.1007/s10479-017-2452-0.
[41]    H. L. Lee and W. Michael, “Supply Chain Security Without Tears,” SUPPLY Chain Manag. Rev., vol. 7, no. 3, pp. 12–120, Jan. 2003, Accessed: Apr. 24, 2020. [Online]. Available: https://trid.trb.org/view/623920.
[42]    C. Speier, J. M. Whipple, D. J. Closs, and M. D. Voss, “Global supply chain design considerations: Mitigating product safety and security risks,” J. Oper. Manag., vol. 29, no. 7–8, pp. 721–736, Nov. 2011, doi: 10.1016/j.jom.2011.06.003.
[43]    C. Colicchia, A. Creazza, C. Noè, and F. Strozzi, “Information sharing in supply chains: a review of risks and opportunities using the systematic literature network analysis (SLNA),” Supply Chain Management, vol. 24, no. 1. Emerald Group Publishing Ltd., pp. 5–21, Jan. 14, 2019, doi: 10.1108/SCM-01-2018-0003.
[44]    G. Lu, X. Koufteros, S. Talluri, and G. T. M. Hult, “Deployment of Supply Chain Security Practices: Antecedents and Consequences,” Decis. Sci., vol. 50, no. 3, pp. 459–497, Jun. 2019, doi: 10.1111/deci.12336.
[45]    L. Mikhailov, “Fuzzy analytical approach to partnership selection in formation of virtual enterprises,” Omega, vol. 30, no. 5, pp. 393–401, Oct. 2002, doi: 10.1016/S0305-0483(02)00052-X.
[46]    V. Jain, S. Wadhwa, and S. G. Deshmukh, “Select supplier-related issues in modelling a dynamic supply chain: Potential, challenges and direction for future research,” Int. J. Prod. Res., vol. 47, no. 11, pp. 3013–3039, Jan. 2009, doi: 10.1080/00207540701769958.
[47]    C. H. Glock, E. H. Grosse, and J. M. Ries, “Reprint of ‘Decision support models for supplier development: Systematic literature review and research agenda,’” Int. J. Prod. Econ., vol. 194, pp. 246–260, Dec. 2017, doi: 10.1016/j.ijpe.2017.11.006.
[48]    W. Ho, X. Xu, and P. K. Dey, “Multi-criteria decision making approaches for supplier evaluation and selection: A literature review,” Eur. J. Oper. Res., vol. 202, no. 1, pp. 16–24, Apr. 2010, doi: 10.1016/j.ejor.2009.05.009.
[49]    L. A. Ocampo, G. K. M. Abad, K. G. L. Cabusas, M. L. A. Padon, and N. C. Sevilla, “Recent approaches to supplier selection: A review of literature within 2006–2016,” Int. J. Integr. Supply Manag., vol. 12, no. 1–2, pp. 22–68, 2018, doi: 10.1504/IJISM.2018.095683.
[50]    C. Lin and H. Kuo, “Multiple Comparisons with the Best for Supplier Selection,” Qual. Reliab. Eng. Int., vol. 30, no. 7, pp. 1083–1092, Nov. 2014, doi: 10.1002/qre.1599.
[51]    X. G. Huang, Y. S. Wong, and J. G. Wang, “A two-stage manufacturing partner selection framework for virtual enterprises,” Int. J. Comput. Integr. Manuf., vol. 17, no. 4, pp. 294–304, Jun. 2004, doi: 10.1080/09511920310001654292.
[52]    F. Çebi and I. Otay, “A two-stage fuzzy approach for supplier evaluation and order allocation problem with quantity discounts and lead time,” Inf. Sci. (Ny)., vol. 339, pp. 143–157, Apr. 2016, doi: 10.1016/j.ins.2015.12.032.
[53]    J. Chai and E. W. T. Ngai, “Decision-making techniques in supplier selection: Recent accomplishments and what lies ahead,” Expert Systems with Applications, vol. 140. Elsevier Ltd, p. 112903, Feb. 01, 2020, doi: 10.1016/j.eswa.2019.112903.
[54]    Y. Ding and A. Lisnianski, “Fuzzy universal generating functions for multi-state system reliability assessment,” Fuzzy Sets Syst., vol. 159, no. 3, pp. 307–324, Feb. 2008, doi: 10.1016/j.fss.2007.06.004.