Knowledge Management Model to Support a Supply Chain for Timely Order Delivery in a Telecommunications Equipment Marketing Company

  • Nicolle VargasEmail author
  • Denisse VillaverdeEmail author
  • Gino ViacavaEmail author
  • Carlos RaymundoEmail author
  • Francisco DominguezEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 961)


Over the years, the telecommunications sector has steadily grown in the last ten years while gaining relevance in the global market. Management of the supply chain generates various risks and complications, and many industries seek effective supply chain operation methods to meet their variable requirements. The objective of this research is to propose a supply-chain model focused on on-time delivery compliance with substantial support of knowledge management methodologies. The research study yielded a 91% increase in compliance from the given scenario.


Supply chain Telecommunications Agility Order fulfillment 


  1. 1.
    Kumar, A., Chanda, U.: Economic order quantity model for new product under fuzzy environment where demand follows innovation diffusion process with salvage value. Int. J. Procure. Manag. 9, 290–309 (2016)CrossRefGoogle Scholar
  2. 2.
    Gaudenzi, B., Christopher, M.: Achieving supply chain ‘Leagility’ through a project management orientation. Int. J. Logist. Res. Appl. 19, 3–18 (2016)CrossRefGoogle Scholar
  3. 3.
    Lam, P.L., Shiu, A.: Economic growth, telecommunications development and productivity growth of the telecommunications sector: evidence around the world. Telecomm. Policy. 34, 185–199 (2010)CrossRefGoogle Scholar
  4. 4.
    Rajasekar, J., Al Raee, M.: An analysis of the telecommunication industry in the sultanate of Oman using Michael porter’s competitive strategy model. Compet. Rev. 23, 234–259 (2013)Google Scholar
  5. 5.
    Lim, M.K., Tseng, M.L., Tan, K.H., Bui, T.D.: Knowledge management in sustainable supply chain management: improving performance through an interpretive structural modelling approach. J. Clean. Prod. 162, 806–816 (2017)CrossRefGoogle Scholar
  6. 6.
    Colomo-Palacios, R., Fernandes, E., Soto-Acosta, P., Larrucea, X.: A case analysis of enabling continuous software deployment through knowledge management. Int. J. Inf. Manage. 40, 186–189 (2018)CrossRefGoogle Scholar
  7. 7.
    Zahran, S.K., Jaber, M.Y., Zanoni, S.: Comparing different coordination scenarios in a three-level supply chain system. Int. J. Prod. Res. 55, 4068–4088 (2017)CrossRefGoogle Scholar
  8. 8.
    Andreou, P.C., Louca, C., Panayides, P.M.: The impact of vertical integration on inventory turnover and operating performance. Int. J. Logist. Res. Appl. 19, 218–238 (2016)CrossRefGoogle Scholar
  9. 9.
    Lagodimos, A.G., Skouri, K., Christou, I.T., Chountalas, P.T.: The discrete-time EOQ model: solution and implications. Eur. J. Oper. Res. 266, 112–121 (2018)MathSciNetCrossRefGoogle Scholar
  10. 10.
    Roodbergen, K.J., Vis, I.F., Taylor Jr., G.D.: Simultaneous determination of warehouse layout and control policies. Int. J. Prod. Res. 53, 3306–3326 (2015)CrossRefGoogle Scholar
  11. 11.
    De Koster, R., Le-Duc, T., Roodbergen, K.J.: Design and control of warehouse order picking: a literature review. Eur. J. Oper. Res. 182, 481–501 (2007)CrossRefGoogle Scholar
  12. 12.
    Yan, B., Yan, C., Long, F., Tan, X.C.: Multi-objective optimization of electronic product goods location assignment in stereoscopic warehouse based on adaptive genetic algorithm. J. Intell. Manuf. 29, 1273–1285 (2018)CrossRefGoogle Scholar
  13. 13.
    van den Berg, J.P., Zijm, W.H.: Models for warehouse management: classification and examples. Int. J. Prod. Econ. 59, 519–528 (1999)CrossRefGoogle Scholar
  14. 14.
    Wang, Y.C.: Evaluating flexibility on order quantity and delivery lead time for a supply chain system. Int. J. Syst. Sci. 39, 1193–1202 (2008)CrossRefGoogle Scholar
  15. 15.
    Yu, K., Cadeaux, J., Song, H.: Flexibility and quality in logistics and relationships. Ind. Mark. Manag. 62, 211–225 (2017)CrossRefGoogle Scholar
  16. 16.
    Cai, S., Wang, Y., Miao, Z.: Exploring key antecedents of supply chain agility: an empirical study. In: 2012 9th International Conference on Service Systems and Service Management—Proceedings of ICSSSM 2012, pp. 835–839 (2012)Google Scholar
  17. 17.
    Ma, M., Li, X.: The design and countermeasures of agile supply chain management mode research. In: 2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009, pp. 141–143 (2009)Google Scholar
  18. 18.
    Cepeda-Carrion, I., Martelo-Landroguez, S., Leal-Rodríguez, A.L., Leal-Millán, A.: Critical processes of knowledge management: an approach toward the creation of customer value. Eur. Res. Manag. Bus. Econ. 23, 1–7 (2017)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Escuela de Ingeniería IndustrialUniversidad Peruana de Ciencias Aplicadas (UPC)LimaPeru
  2. 2.Dirección de Investigaciones, Universidad Peruana de Ciencias Aplicadas (UPC)LimaPeru
  3. 3.Escuela Superior de Ingeniería InformáticaUniversidad Rey Juan CarlosMostolesSpain

Personalised recommendations