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Interactive Scheduling Decision Support System a Case Study for Fertilizer Production on Supply Chain

  • Ahlam Azzamouri
  • Imane Essaadi
  • Selwa ElfirdoussiEmail author
  • Vincent Giard
Chapter
Part of the Lecture Notes in Information Systems and Organisation book series (LNISO, volume 30)

Abstract

This paper presents the architecture of an interactive scheduling decision support system (ISDSS) allowing users to find the optimal solution for fertilizer production on parallel heterogeneous processors. The proposed approach takes into account different production process constraints such as launch time, delivery date, preventive maintenance and the impact of scheduling on supply chain management. The ISDSS implemented is run by a relational database used to customize the structural data and the problem parameters. A user interface is available for ISDSS users to define the scheduling problem and design the solution based on tables and graphs for detecting possible issues. The ISDSS architecture was implemented on java using independent modules.

Keywords

Interactive Scheduling Decision Support System (ISDSS) Scheduling Production plant Modular architecture 

References

  1. 1.
    Giard, V., Ahlam, E., Essadi, I., Fénies, P., Fontane, F.: A DSS approach for heterogeneous parallel machines scheduling with due windows, processor-&-sequence-dependent setup and proximate supply chain constraints. Cahier de recherche 375, Paris Dauphine (2015)Google Scholar
  2. 2.
    Giard, V., Azzamouri, A., Essadi, I.: A DSS approach for heterogeneous parallel machines scheduling with due windows, processor-&-sequence-dependent setup and availability constraints. In: Information system Logistics and Supply Chain, Bordeaux, pp. 1–8 (2016)Google Scholar
  3. 3.
    Gorry, G., Morton, M.: A framework for management information systems. Sloan Manag. Rev. 30(3), 49–61 (1989)Google Scholar
  4. 4.
    Keen, P., Scott Morton, M.: Decision Support Systems: An Organizational Perspective. Addison-Wesley Publishing, Reading (1978)Google Scholar
  5. 5.
    Shim, J., Warkentin, M., Courtney, J., Power, D., Sharda, R., Carlsson, C.: Past, present, and future of decision support technology. Decis. Support Syst. 33, 111–126 (2002)CrossRefGoogle Scholar
  6. 6.
    Eom, S., Kim, E.: A survey of decision support system applications. J. Oper. Res. Soc. 57(11), 1264–1278 (2006)CrossRefGoogle Scholar
  7. 7.
    Bhargava, H.K., Power, D.J., Sun, D.: Progress in web-based decision support technologies. Decis. Support Syst. 43(3), 1083–1095 (2007)CrossRefGoogle Scholar
  8. 8.
    Power, D.J., Sharda, R.: Model-driven decision support systems: concepts and research directions. Decis. Support Syst. 43(3), 1044–1061 (2007)CrossRefGoogle Scholar
  9. 9.
    Maturana, S., Ferrer, J., Barañao, F.: Design and implementation of an optimization-based decision support system generator. Eur. J. Oper. Res. 145(1), 170–183 (2004)CrossRefGoogle Scholar
  10. 10.
    Olteanu, A.: A Decision Support System (DSS) for project management in the biodiesel industry. Informatica Economică 15(4), 189–202 (2011)Google Scholar
  11. 11.
    Heilala, J., Montonen, J., Järvinen, P., Kivikunnas, S., Maantila, M., Sillanpää, J., & Jokinen, T.: Developing simulation-based decision support systems for customer-driven manufacturing operation planning. In: Winter Simulation Conference (WSC), Baltimore, pp. 3363–3375 (2010)Google Scholar
  12. 12.
    Krishnaiyer, K., Chen, F.: Web-based Visual Decision Support System (WVDSS) for letter shop. Robotics and Computer-Integrated Manufacturing (2015)Google Scholar
  13. 13.
    Sharma, R., Chand, N., Sharma, V., Yadav, D.: Decision support system for operation, scheduling and optimization of hydro power plant in Jammu and Kashmir region. Renew. Sustain. Energy Rev. 43, 1099–1113 (2015)CrossRefGoogle Scholar
  14. 14.
    Keskinocak, P., Wu, F., Goodwin, R., Murthy, S., Akkiraju, R., Kumaran, S., Derebail, A.: Scheduling solutions for the paper industry. Oper. Res. 50(2), 249–259 (2002)CrossRefGoogle Scholar
  15. 15.
    Freed, T., Doerr, K., Chang, T.: In-house development of scheduling decision support systems: case study for scheduling semiconductor device test operations. Int. J. Prod. Res. 45(21), 5075–5093 (2007)CrossRefGoogle Scholar
  16. 16.
    Galasso, F., Mercé, C., Grabot, B.: Decision support framework for supply chain planning with flexible demand. Int. J. Prod. Res. 47(2), 455–478 (2009)CrossRefGoogle Scholar
  17. 17.
    Krishna, L., Janardhan, G., Rao, C.: Web integrated decision support system for machine scheduling and inventory management. IUP J. Oper. Manag. 8(1), 35 (2009)Google Scholar
  18. 18.
    Tang, L., Liu, G.: A mathematical programming model and solution for scheduling production orders in Shanghai Baoshan iron and steel complex. Eur. J. Oper. Res. 182(3), 1453–1468 (2007)CrossRefGoogle Scholar
  19. 19.
    Shirazi, B., Mahdavi, I., Solimanpur, M.: Intelligent decision support system for the adaptive control of a flexible manufacturing system with machine and tool flexibility. Int. J. Prod. Res. 50(12), 3288–3314 (2012)CrossRefGoogle Scholar
  20. 20.
    FICO: Robust Optimization With Xpress. In: Fico. Accessed 22 June 2015 Available at: https://community.fico.com/docs/DOC-1818

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Ahlam Azzamouri
    • 1
    • 3
  • Imane Essaadi
    • 1
    • 3
  • Selwa Elfirdoussi
    • 1
    Email author
  • Vincent Giard
    • 1
    • 2
  1. 1.EMINES, University Mohammed VI PolytechnicBen GuerirMorocco
  2. 2.Paris-Dauphine, PSL Research UniversityParisFrance
  3. 3.Paris Ouest Nanterre UniversityNanterre CedexFrance

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