A Robust Optimization Model for Supply Chain in Agile and Flexible Mode Based on Variables of Uncertainty

Original Research

Abstract

Uncertainty in the business environment is one of the main challenges for modern organizations. Uniformity and a lack of timely response to changing environmental conditions can create inappropriate and sometimes irreversible consequences. If decision makers can use new approaches and strategies based on a systematic method, they will be able to guide their organization toward improvements. Agile supply chain systems enhance the organization’s ability to survive in an unpredictable business environment. Various methods have been used to design an agile and flexible supply chain. This paper endeavors to obtain a result using the mathematical modeling method to create optimal outcome by introducing new possibilities for an agile and flexible supply chain. This article considers five objective functions as follows: (1) minimizing the production line stoppage because of the performance of suppliers, (2) minimizing the supplier complaints, (3) minimizing suppliers defective parts, (4) maximizing on-time delivery, and (5) the total cost of supplying parts.

Keywords

Agility Assignment Flexibility Supply chain Uncertainty 

References

  1. Achrol, R. S. (1991). Evolution of the marketing organization: New forms for turbulent environments evolution. The Journal of Marketing, 55(4), 77–93.  https://doi.org/10.2307/1251958.CrossRefGoogle Scholar
  2. Agarwal, A., Shankar, R., & Tiwari, M. K. (2006). Modeling the metrics of lean, agile and leagile supply chain: An ANP-based approach. European Journal of Operational Research, 173(1), 211–225.  https://doi.org/10.1016/j.ejor.2004.12.005.CrossRefGoogle Scholar
  3. Azevedo, S. G., Govindan, K., Carvalho, H., & Cruz-Machado, V. (2012). An integrated model to assess the leanness and agility of the automotive industry. Resources, Conservation and Recycling, 66, 85–94.  https://doi.org/10.1016/j.resconrec.2011.12.013.CrossRefGoogle Scholar
  4. Bai, C., & Sarkis, J. (2013). Flexibility in reverse logistics: A framework and evaluation approach. Journal of Cleaner Production, 47, 306–318.  https://doi.org/10.1016/j.jclepro.2013.01.005.CrossRefGoogle Scholar
  5. Battistella, C., De Toni, A. F., De Zan, G., & Pessot, E. (2017). Cultivating business model agility through focused capabilities: A multiple case study. Journal of Business Research, 73, 65–82.  https://doi.org/10.1016/j.jbusres.2016.12.007.CrossRefGoogle Scholar
  6. Ben Naylor, J., Naim, M. M., & Berry, D. (1999). Leagility: Integrating the lean and agile manufacturing paradigms in the total supply chain. International Journal of Production Economics, 62(1), 107–118.  https://doi.org/10.1016/S0925-5273(98)00223-0.CrossRefGoogle Scholar
  7. Braunscheidel, M. J., & Suresh, N. C. (2009). The organizational antecedents of a firm’s supply chain agility for risk mitigation and response. Journal of Operations Management, 27(2), 119–140.  https://doi.org/10.1016/j.jom.2008.09.006.CrossRefGoogle Scholar
  8. Chan, A. T. L., Ngai, E. W. T., & Moon, K. K. L. (2017). The effects of strategic and manufacturing flexibilities and supply chain agility on firm performance in the fashion industry. European Journal of Operational Research, 259(2), 486–499.  https://doi.org/10.1016/j.ejor.2016.11.006.CrossRefGoogle Scholar
  9. Christopher, M. (2000). The agile supply chain: Competing in volatile markets. Intdustrial Marketing Management, 29, 37–44.  https://doi.org/10.1016/S0019-8501(99)00110-8.CrossRefGoogle Scholar
  10. Christopher, M., & Towill, D. (2001). An integrated model for the design of agile supply chains. International Journal of Physical Distribution & Logistics Management, 31(4), 235–246.  https://doi.org/10.1108/09600030110394914.CrossRefGoogle Scholar
  11. Collis, D. J. (1991). A resource-based analysis of global competition: The case of the bearings industry. Strategic Management Journal, 12(1 S), 49–68.  https://doi.org/10.1002/smj.4250120906.CrossRefGoogle Scholar
  12. Cooper, R. G. (1979). The dimensions of industrial new product success and failure. Journal of Marketing, 43(3), 93–103.  https://doi.org/10.2307/1250151.CrossRefGoogle Scholar
  13. Dubey, R., Gunasekaran, A., & Childe, S. J. (2015). The design of a responsive sustainable supply chain network under uncertainty. International Journal of Advanced Manufacturing Technology, 80, 427.  https://doi.org/10.1007/s00170-015-6967-8.CrossRefGoogle Scholar
  14. Finch, P. (2004). Supply chain risk management. Supply Chain Management: An International Journal, 9(2), 183–196.  https://doi.org/10.1108/13598540410527079.CrossRefGoogle Scholar
  15. Galal, N. M., & Moneim, A. F. A. (2016). Developing sustainable supply chains in developing Countries. Procedia CIRP, 48, 419–424.  https://doi.org/10.1016/j.procir.2016.03.156.CrossRefGoogle Scholar
  16. Gligor, D. M., Esmark, C. L., & Holcomb, M. C. (2015). Performance outcomes of supply chain agility: When should you be agile? Journal of Operations Management, 33–34, 71–82.  https://doi.org/10.1016/j.jom.2014.10.008.CrossRefGoogle Scholar
  17. Gong, Z. (2008). An economic evaluation model of supply chain flexibility. European Journal of Operational Research, 184(2), 745–758.  https://doi.org/10.1016/j.ejor.2006.11.013.CrossRefGoogle Scholar
  18. González, F. J. M., & Palacios, T. M. B. (2002). The effect of new product development techniques on new product success in Spanish firms. Industrial Marketing Management, 31(3), 261–271.  https://doi.org/10.1016/S0019-8501(00)00150-4.CrossRefGoogle Scholar
  19. Gosling, J., Purvis, L., & Naim, M. M. (2010). Supply chain flexibility as a determinant of supplier selection. International Journal of Production Economics, 128, 11–21.  https://doi.org/10.1016/j.ijpe.2009.08.029.CrossRefGoogle Scholar
  20. Gunasekaran, A., Dubey, R., & Singh, S. P. (2016). Flexible sustainable supply chain network design: Current trends, opportunities and future. Global Journal Flexible Systems Management, 17, 109.  https://doi.org/10.1007/s40171-016-0131-7.CrossRefGoogle Scholar
  21. Han, S., Jiang, Y., Zhao, L., et al. (2017a). Weight reduction technology and supply chain network design under carbon emission restriction. Annals of Operations Research.  https://doi.org/10.1007/s10479-017-2696-8.Google Scholar
  22. Han, J. H., Wang, Y., & Naim, M. (2017b). Reconceptualization of information technology flexibility for supply chain management: An empirical study. International Journal of Production Economics, 187, 196–215.  https://doi.org/10.1016/j.ijpe.2017.02.018.CrossRefGoogle Scholar
  23. Hasani, A., & Khosrojerdi, A. (2016). Robust global supply chain network design under disruption and uncertainty considering resilience strategies: A parallel memetic algorithm for a real-life case study. Transportation Research Part E: Logistics and Transportation Review, 87, 20–52.  https://doi.org/10.1016/j.tre.2015.12.009.CrossRefGoogle Scholar
  24. Hites, R., De Smet, Y., Risse, N., Salazar-Neumann, M., & Vincke, P. (2006). About the applicability of MCDA to some robustness problems. European Journal of Operational Research, 174(1), 322–332.  https://doi.org/10.1016/j.ejor.2005.01.031.CrossRefGoogle Scholar
  25. Hormozi, A. M. (2001). Agile manufacturing: The next logical step. Benchmarking: An International Journal, 8(2), 132–143.  https://doi.org/10.1108/14635770110389843.CrossRefGoogle Scholar
  26. Huang, S. M., Ou, C. S., Chen, C. M., & Lin, B. (2006). An empirical study of relationship between IT investment and firm performance: A resource-based perspective. European Journal of Operational Research, 173(3), 984–999.  https://doi.org/10.1016/j.ejor.2005.06.013.CrossRefGoogle Scholar
  27. Johnson, J. L., Lee, R. P.-W., Saini, A., & Grohmann, B. (2003). Market-Focused Strategic Flexibility: Conceptual Advances and an Integrative Model. Journal of the Academy of Marketing Science, 31(1), 74–89.  https://doi.org/10.1177/0092070302238603.CrossRefGoogle Scholar
  28. Kaur, H., Singh, S. P., & Glardon, R. (2016). An integer linear program for integrated supplier selection: A sustainable flexible framework. Glob J Flex Syst Manag, 17, 113.  https://doi.org/10.1007/s40171-015-0105-1.CrossRefGoogle Scholar
  29. Khorasani, S. T. (2014). Design-driven integrated-comprehensive model CDFS strategic relationships. Proceedings of the ASME Design Engineering Technical Conference.  https://doi.org/10.1115/detc2014-34194.Google Scholar
  30. Khorasani, S. T., Maghazei, O., & Cross, J. A. (2015). A structured review of lean supply chain management in health care. In International Annual Conference of the American Society for Engineering Management 2015, ASEM 2015.Google Scholar
  31. Kidd, P. T. (1995). Agile manufacturing: A strategy for the 21st Century. IEE Colloquium on Agile Manufacturing, 44, 1–6.  https://doi.org/10.1049/ic:19951097.Google Scholar
  32. Kim, M., & Chai, S. (2017). The impact of supplier innovativeness, information sharing and strategic sourcing on improving supply chain agility: Global supply chain perspective. International Journal of Production Economics, 187, 42–52.  https://doi.org/10.1016/j.ijpe.2017.02.007.CrossRefGoogle Scholar
  33. Kleijnen, J. P. C. (2001). Ethical issues in modeling: Some reflections. European Journal of Operational Research, 130(1), 223–230.  https://doi.org/10.1016/S0377-2217(00)00024-2.CrossRefGoogle Scholar
  34. Kocoglu, I., Imamoglu, S. Z., Ince, H., & Keskin, H. (2012). Learning, R&D and manufacturing capabilities as determinants of technological learning: Enhancing innovation and firm performance. Procedia - Social and Behavioral Sciences, 58, 842–852.  https://doi.org/10.1016/j.sbspro.2012.09.1062.CrossRefGoogle Scholar
  35. Koufteros, X. A., Vonderembse, M. A., & Doll, W. J. (2002). Integrated product development practices and competitive capabilities: The effects of uncertainty, equivocality, and platform strategy. Journal of Operations Management, 20(4), 331–355.  https://doi.org/10.1016/S0272-6963(02)00018-9.CrossRefGoogle Scholar
  36. Li, L., & Zabinsky, Z. B. (2011). Incorporating uncertainty into a supplier selection problem. International Journal of Production Economics, 134(2), 344–356.  https://doi.org/10.1016/j.ijpe.2009.11.007.CrossRefGoogle Scholar
  37. Ling-yee, L., & Ogunmokun, G. O. (2008). An empirical study of manufacturing flexibility of exporting firms in China: How do strategic and organizational contexts matter? Industrial Marketing Management, 37(6), 738–751.  https://doi.org/10.1016/j.indmarman.2007.05.007.CrossRefGoogle Scholar
  38. Liu, Y., Li, Y., & Wei, Z. (2009). How organizational flexibility affects new product development in an uncertain environment: Evidence from China. International Journal of Production Economics, 120(1), 18–29.  https://doi.org/10.1016/j.ijpe.2008.07.026.CrossRefGoogle Scholar
  39. Lummus, R. R., Duclos, L. K., & Vokurka, R. J. (2003). Supply chain flexibility: Building a new model. Global Journal of Flexible Systems Management, 4(4), 1–13.  https://doi.org/10.1002/jobm.201190012.Google Scholar
  40. Mangla, S. K., Kumar, P., & Barua, M. K. (2014). Flexible decision approach for analysing performance of sustainable supply chains under risks/uncertainty. Glob J Flex Syst Manag, 15, 113.  https://doi.org/10.1007/s40171-014-0059-8.CrossRefGoogle Scholar
  41. Merschmann, U., & Thonemann, U. W. (2011). Supply chain flexibility, uncertainty and firm performance: An empirical analysis of German manufacturing firms. International Journal of Production Economics, 130(1), 43–53.  https://doi.org/10.1016/j.ijpe.2010.10.013.CrossRefGoogle Scholar
  42. Moon, K. K. L., Yi, C. Y., & Ngai, E. W. T. (2012). An instrument for measuring supply chain flexibility for the textile and clothing companies. European Journal of Operational Research, 222(2), 191–203.  https://doi.org/10.1016/j.ejor.2012.04.027.CrossRefGoogle Scholar
  43. Ngai, E. W. T., Chau, D. C. K., & Chan, T. L. A. (2011). Information technology, operational, and management competencies for supply chain agility: Findings from case studies. Journal of Strategic Information Systems, 20((3, SI)), 232–249.  https://doi.org/10.1016/j.jsis.2010.11.002.CrossRefGoogle Scholar
  44. Peck, H. (2005). Drivers of supply chain vulnerability: An integrated framework. International Journal of Physical Distribution & Logistics Management, 35(4), 210–232.  https://doi.org/10.1108/09600030510599904.CrossRefGoogle Scholar
  45. Prater, E., Biehl, M., & Smith, M. A. (2001). International supply chain agility—Tradeoffs between flexibility and uncertainty. International Journal of Operations & Production Management, 21(5/6), 823–839.  https://doi.org/10.1108/01443570110390507.CrossRefGoogle Scholar
  46. Puschmann, T., & Alt, R. (2005). (1) Successful use of e-procurement in supply chains. Supply Chain Management: An International Journal, 10(2), 122–133.  https://doi.org/10.1108/13598540510589197.CrossRefGoogle Scholar
  47. Sanchez, R. (1995). Strategic flexibility in product competition. Strategic Management Journal, 16(1), 135–159.  https://doi.org/10.1002/smj.4250160921.CrossRefGoogle Scholar
  48. Seifbarghy, M., & Esfandiari, N. (2013). Modeling and solving a multi-objective supplier quota allocation problem considering transaction costs. Journal of Intelligent Manufacturing, 24(1), 201–209.  https://doi.org/10.1007/s10845-011-0555-z.CrossRefGoogle Scholar
  49. Sturgeon, T. J. (2002). Modular production networks: A new American model of industrial organization. Industrial and Corporate Change, 11(3), 451–496.  https://doi.org/10.1093/icc/11.3.451.CrossRefGoogle Scholar
  50. Subramani, M. (2004). How do suppliers benefit from information technology use in supply chain relationships? MIS Quarterly, 28, 45–73.CrossRefGoogle Scholar
  51. Swafford, P. M., Ghosh, S., & Murthy, N. N. (2006). A framework for assessing value chain agility. International Journal of Operations & Production Management, 26(2), 118–140.  https://doi.org/10.1108/01443570610641639.CrossRefGoogle Scholar
  52. Swafford, P. M., Ghosh, S., & Murthy, N. (2008). Achieving supply chain agility through IT integration and flexibility. International Journal of Production Economics, 116(2), 288–297.  https://doi.org/10.1016/j.ijpe.2008.09.002.CrossRefGoogle Scholar
  53. Thomé, A. M. T., Scavarda, L. F., Scavarda, A., & de Souza Thomé, F. E. S. (2016). Similarities and contrasts of complexity, uncertainty, risks, and resilience in supply chains and temporary multi-organization projects. International Journal of Project Management, 34(7), 1328–1346.  https://doi.org/10.1016/j.ijproman.2015.10.012.CrossRefGoogle Scholar
  54. Vereecke, A., & Muylle, S. (2006). Performance improvement through supply chain collaboration in Europe. International Journal of Operations & Production Management, 26(11), 1176–1198.  https://doi.org/10.1108/01443570610705818.CrossRefGoogle Scholar
  55. Vinodh, S., Devadasan, S. R., Vimal, K. E. K., & Kumar, D. (2013). Design of agile supply chain assessment model and its case study in an Indian automotive components manufacturing organization. Journal of Manufacturing Systems, 32(4), 620–631.  https://doi.org/10.1016/j.jmsy.2013.04.001.CrossRefGoogle Scholar
  56. Vokurka, R. J., & Fliedner, G. (1998). The journey toward agility. Industrial Management & Data Systems, 98(4), 165–171.  https://doi.org/10.1108/02635579810219336.CrossRefGoogle Scholar
  57. Vokurka, R. J., & O’Leary-Kelly, S. W. (2000). A review of empirical research on manufacturing flexibility. Journal of Operations Management, 18(4), 485–501.  https://doi.org/10.1016/S0272-6963(00)00031-0.CrossRefGoogle Scholar
  58. Wang, M., Jie, F., & Abareshi, A. (2014). The Measurement model of supply chain uncertainty and risk in the Australian courier industry. [GS], Operations and Supply Chain Management, 7(3), 89–96.Google Scholar
  59. Ware, N. R., Singh, S. P., & Banwet, D. K. (2014). Modeling flexible supplier selection framework. Glob J Flex Syst Manag, 15, 261.  https://doi.org/10.1007/s40171-014-0070-0.CrossRefGoogle Scholar
  60. Wu, K. J., Tseng, M. L., Chiu, A. S. F., & Lim, M. K. (2017). Achieving competitive advantage through supply chain agility under uncertainty: A novel multi-criteria decision-making structure. International Journal of Production Economics, 190, 96–107.  https://doi.org/10.1016/j.ijpe.2016.08.027.CrossRefGoogle Scholar
  61. Yusuf, Y. Y., Gunasekaran, A., Adeleye, E. O., & Sivayoganathan, K. (2004). Agile supply chain capabilities: Determinants of competitive objectives. European Journal of Operational Research, 159((2 SPEC. ISS.)), 379–392.  https://doi.org/10.1016/j.ejor.2003.08.022.CrossRefGoogle Scholar
  62. Yusuf, Y. Y., Musa, A., Dauda, M., El-Berishy, N., Kovvuri, D., & Abubakar, T. (2014). A study of the diffusion of agility and cluster competitiveness in the oil and gas supply chains. International Journal of Production Economics, 147(PART B), 498–513.  https://doi.org/10.1016/j.ijpe.2013.04.010.CrossRefGoogle Scholar
  63. Zhang, Q., Vonderembse, M. A., & Lim, J. S. (2003). Manufacturing flexibility: Defining and analyzing relationships among competence, capability, and customer satisfaction. Journal of Operations Management, 21(2), 173–191.  https://doi.org/10.1016/S0272-6963(02)00067-0.CrossRefGoogle Scholar

Copyright information

© Global Institute of Flexible Systems Management 2018

Authors and Affiliations

  1. 1.Department of Industrial EngineeringTexas Tech UniversityLubbockUSA

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