On-Demand Warehousing Model for Open Space Event Development Services: A Case Study in Lima, Peru

  • Christian BalcazarEmail author
  • Christian ChavezEmail author
  • Gino ViacavaEmail author
  • Edgar RamosEmail author
  • Carlos RaymundoEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1026)


This study focuses on the idle space within a warehouse which arises due to an inadequate identification of optimum materials, hindering their storage and reuse. Herein, an on-demand warehousing model is developed based on knowledge management, ideal design of warehouse facilities, and continuous monitoring of warehouse processes and activities for achieving an adequate material flow, cost minimization, high customer service levels, and better working conditions. Results show that the developed model reduced the idle warehouse space and operating costs by 72.14% and 58.55%, respectively.


On-demand warehousing Knowledge management Systematic layout planning methodology 5S philosophy Good storage practices 


  1. 1.
    Kembro, J.H., Norrman, A., Eriksson, E.: Adapting warehouse operations and design to omni-channel logistics: a literature review and research agenda. Int. J. Phys. Distrib. Logist. Manag. 48, 890–912 (2018)CrossRefGoogle Scholar
  2. 2.
    Roodbergen, K.J., Vis, I.F.A., Taylor, G.D.: Simultaneous determination of warehouse layout and control policies. Int. J. Prod. Res. 53(11), 3306–3326 (2015)CrossRefGoogle Scholar
  3. 3.
    Mirabelli, G., Pizzuti, T., Macchione, C., Laganà, D.: Warehouse layout optimization: a case study based on the adaptation of the multi-layer allocation problem. In: Proceedings of the Summer School Francesco Turco Industrial, pp. 49–58 (2015)Google Scholar
  4. 4.
    De Paula, N., Melhado, S.: Sustainability in management processes: case studies in architectural design firms. J. Archit. Eng. 24(4), 05018005 (2018)CrossRefGoogle Scholar
  5. 5.
    Mao, J., Xing, H., Zhang, X.: Design of intelligent warehouse management system. Wirel. Pers. Commun. 102(2), 1355–1367 (2018)CrossRefGoogle Scholar
  6. 6.
    Hilmola, O.-P., Tolli, A.: Warehouse layout implications on picking distance: case of human factor. World Rev. Intermodal Transp. Res. 6(1), 43–58 (2016)CrossRefGoogle Scholar
  7. 7.
    Bravo, C., Ortiz, S., Raymundo, C., Torres, C., Quispe, G.: Maturity model for the strategic management of the corporate scaling of family businesses in the services sector. In: CICIC 2018 - Octava Conferencia Iberoamericana de Complejidad, Informatica y Cibernetica, Memorias (2018)Google Scholar
  8. 8.
    Maddah, B., Noueihed, N.: EOQ holds under stochastic demand, a technical note. Appl. Math. Model. 45, 205–208 (2017)MathSciNetCrossRefGoogle Scholar
  9. 9.
    Randhawa, J.S., Ahuja, I.S.: 5S – a quality improvement tool for sustainable performance: literature review and directions. Int. J. Qual. Reliab. Manag. 34(3), 334–361 (2017)CrossRefGoogle Scholar
  10. 10.
    de Vries, J., de Koster, R., Stam, D.: Safety does not happen by accident: antecedents to a safer warehouse. Prod. Oper. Manag. 25(8), 1377–1390 (2016)CrossRefGoogle Scholar
  11. 11.
    Oey, E., Nofrimurti, M.: Lean implementation in traditional distributor warehouse - a case study in an FMCG company in Indonesia. Int. J. Process Manag. Benchmarking 8(1), 1–15 (2018)CrossRefGoogle Scholar
  12. 12.
    Dukic, G., Opetuk, T., Lerher, T.: An integrated model of storage and order-picking area layout design. In: 13th International Conference on Industrial Logistics, ICIL 2016 - Conference Proceedings, pp. 45–55 (2016)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Ingenieria IndustrialUniversidad Peruana de Ciencias Aplicadas (UPC)LimaPeru
  2. 2.Dirección de InvestigaciónUniversidad Peruana de Ciencias Aplicadas (UPC)LimaPeru

Personalised recommendations