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An Integrated Cloud Manufacturing Model for Warehouse Selection in a Smart Supply Chain Network: A Comparative Study

  • Surajit NathEmail author
  • Bijan Sarkar
Original Contribution
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Abstract

In the face of increasing competition in today’s manufacturing world, it is the need of the hour to associate cloud manufacturing with supply chain network making it smarter. It is a paradigm that helps taking smart decisions such as warehouse selection in manufacturing organisations efficaciously. In the proposed holistic approach, we combine Dempster–Shafer theory and analysis of variance in supply chain and integrate the same with cloud manufacturing for extrapolation. It is examined in a case study of warehouse selection for a manufacturing organisation. The study reveals the effectiveness of the model in selecting appropriate warehouse location for a manufacturing organisation. Lastly, the model is compared with the accomplished ideas of technique for ordered preference by similarity to ideal solution on the same case study. The outcome of the comparison results establishes the validation and robustness of the proposed approach.

Keywords

Cloud manufacturing DST ANOVA Regression analysis Fuzzy multi-criteria decision-making (FMCDM) Warehouse selection 
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Notes

Acknowledgements

The authors acknowledge the support of Jadavpur University, Kolkata, India, and Calcutta Institute of Engineering and Management, Kolkata, India, in carrying out this work.

References

  1. 1.
    S. Nath, B. Sarkar, An exploratory analysis for the selection and implementation of advanced manufacturing technology by fuzzy multi-criteria decision making methods: a comparative study. J. Inst. Eng. India Ser. C 98(4), 493–506 (2016)CrossRefGoogle Scholar
  2. 2.
    M.F. Blos, H.M. Wee, W.-H. Yang, Supply chain risk management: resilience and business continuity. Chap. Intell. Syst. Ref. Libr. 33, 219–236 (2012)Google Scholar
  3. 3.
    D. Wu, D.W. Rosen, L. Wang, D. Schaefer, Cloud-based manufacturing: old wine in new bottles? Procedia CIRP 17, 94–99 (2014)CrossRefGoogle Scholar
  4. 4.
    S. Huang, Q. Wang, R. Batta, R. Nagi, An integrated model for site selection and space determination of warehouses. Comput. Oper. Res. 62, 169–176 (2015)MathSciNetCrossRefGoogle Scholar
  5. 5.
    P. Wutthisirisart, M.Y. Sir, J.S. Noble, The two-warehouse material location selection problem. Int. J. Prod. Econ. 170, 780–789 (2015)CrossRefGoogle Scholar
  6. 6.
    N. Hofstra, B. Petkova, W. Dullaert, G. Reniers, S.D. Leeuw, Assessing and facilitating warehouse safety. Saf. Sci. 105, 134–148 (2018)CrossRefGoogle Scholar
  7. 7.
    B. Dey, B. Bairagi, B. Sarkar, S.K. Sanyal, Group heterogeneity in multi member decision making model with an application to warehouse location selection in a supply chain. Comput. Ind. Eng. 105, 101–122 (2017)CrossRefGoogle Scholar
  8. 8.
    Y.-S. Ling, K.-J. Wang, A two-stage stochastic optimization model for warehouse configuration and inventory policy of deteriorating items. Comput. Ind. Eng. 120, 83–93 (2018)CrossRefGoogle Scholar
  9. 9.
    M. Makaci, P. Reaidy, K. Evrard-Samuel, V. Botta-Genoulaz, T. Monteiro, Pooled warehouse management: an empirical study. Comput. Ind. Eng. 112, 526–536 (2017)CrossRefGoogle Scholar
  10. 10.
    I. Jacyna-Golda, M. Izdebski, The multi-criteria decision support in choosing the efficient location of warehouses in the logistic network. Procedia Eng. 187, 635–640 (2017)CrossRefGoogle Scholar
  11. 11.
    J. Fichtinger, J.M. Ries, E.H. Grosse, P. Baker, Assessing the environmental impact of integrated inventory and warehouse management. Int. J. Prod. Econ. 170, 717–729 (2015)CrossRefGoogle Scholar
  12. 12.
    J.L. Garcia, A. Alvarado, J. Blanco, E. Jimenez, A.A. Maldonado, G. Cortes, Multi-attribute evaluation and selection of sites for agricultural product warehouses based on an analytic hierarchy process. Comput. Electron. Agric. 100, 60–69 (2014)CrossRefGoogle Scholar
  13. 13.
    A.M. Atieh, H. Kaylani, Y. Al-abdallat, A. Qaderi, L. Ghoul, L. Jaradat, I. Hdairis, Performance improvement of inventory management system processes by an automated warehouse management system. Procedia CIRP 41, 568–572 (2016)CrossRefGoogle Scholar
  14. 14.
    G. Vasiljevic, D. Miklic, I. Draganjac, Z. Kovacic, P. Lista, High-accuracy vehicle localization for autonomous warehousing. Robot. Comput. Integr. Manuf. 42, 1–16 (2016)CrossRefGoogle Scholar
  15. 15.
    P. Wang, Y. Li, Y.-H. Wang, Z.-Q. Zhu, A new method based on TOPSIS and response surface method for MCDM problems with interval numbers. Math. Probl. Eng. (2015).  https://doi.org/10.1155/2015/938535 CrossRefGoogle Scholar
  16. 16.
    B. Simsek, Y. Tansel Ic., E.H. Simsek, A TOPSIS-based Taguchi optimization to determine optimal mixture proportions of the high strength self-compacting concrete. Chemometr. Intell. Lab. Syst. 125, 18–32 (2013)CrossRefGoogle Scholar
  17. 17.
    Y. Tansel Ic., An experimental design approach using TOPSIS method for the selection of computer-integrated manufacturing technologies. Robot. Comput. Integr. Manuf. 28, 245–256 (2012)CrossRefGoogle Scholar
  18. 18.
    M. Dabaghi, C. Mascle, P. Baptiste, Application of DOE–TOPSIS technique in decision-making problems. IFAC-PapersOnLine 48(3), 773–777 (2015)CrossRefGoogle Scholar
  19. 19.
    Y. Tansel Ic., A TOPSIS based design of experiment approach to assess company ranking. Appl. Math. Comput. 227, 630–647 (2014)MathSciNetzbMATHGoogle Scholar
  20. 20.
    Y. Deng, F.T.S. Chan, A new fuzzy dempster MCDM method and its application in supplier selection. Expert Syst. Appl. 38, 9854–9861 (2011)CrossRefGoogle Scholar
  21. 21.
    S. Nath, B. Sarkar, Performance evaluation of advanced manufacturing technologies: a de novo approach. Comput. Ind. Eng. 110, 364–378 (2017)CrossRefGoogle Scholar
  22. 22.
    G. Bojadziev, M. Bojadziev, Fuzzy sets, fuzzy logic, applications, in Advances in Fuzzy Systems Applications and Theory, vol. 5 (World Scientific Publishing Co. Pte. Ltd., Singapore, 1995)zbMATHGoogle Scholar
  23. 23.
    E. Kaucher, Interval analysis in the extended interval space IR, in Fundamentals of Numerical Computation (Computer-Oriented Numerical Analysis), ed. by G. Alefeld, R.D. Grigorieff, vol. 2 (Springer, Vienna, 1980), pp. 33–49.CrossRefGoogle Scholar
  24. 24.
    H.J. Zimmermann, Fuzzy set theory and its applications (Kluwer Academic Publishers, Boston, 1991)CrossRefGoogle Scholar
  25. 25.
    C.C. Chou, The canonical representation of multiplication operation on triangular fuzzy numbers. Comput. Math. Appl. Int. J. 45, 1601–1610 (2003)MathSciNetCrossRefGoogle Scholar
  26. 26.
    C.L. Hwang, K.P. Yoon, Multiple Attribute Decision Making: Methods and Applications (Springer, Berlin, 1981)CrossRefGoogle Scholar
  27. 27.
    A.P. Dempster, Upper and lower probabilities induced by a multivalued mapping. Ann. Math. Stat. 38, 325–328 (1967)MathSciNetCrossRefGoogle Scholar
  28. 28.
    G. Shafer, A Mathematical Theory of Evidence (Princeton University Press, Princeton, 1976)zbMATHGoogle Scholar
  29. 29.
    P. Smets, Data fusion in the transferable belief model, in Proceedings of 3rd International Conference On Information Fusion, Fusion, Paris, France, July 10–13 (2000), pp. PS21–PS33Google Scholar
  30. 30.
    R.E. Kirk, Experimental Design (Willey, New York, 1982)Google Scholar
  31. 31.
    M.A. Bezerra, R.E. Santelli, E.P. Oliveira, L.S. Villar, L.A. Escaleira, Response surface methodology (RSM) as a tool for optimization in analytical chemistry. Talanta 76(5), 965–977 (2008)CrossRefGoogle Scholar
  32. 32.
    A. Kannan, K. Esakkiraja, M. Nataraj, Modelling and analysis for cutting temperature in turning of aluminium 6063 using response surface methodology. IOSR J. Mech. Civ. Eng. 9(4), 59–64 (2013)CrossRefGoogle Scholar

Copyright information

© The Institution of Engineers (India) 2019

Authors and Affiliations

  1. 1.Basic Sciences and Humanities DepartmentCalcutta Institute of Engineering and ManagementKolkataIndia
  2. 2.Production Engineering DepartmentJadavpur UniversityKolkataIndia

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