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Raw Materials Management for Time Dependent Supply Chain Network

  • Ayan ChatterjeeEmail author
  • Mahendra Rong
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 955)

Abstract

Purchasing raw materials from proper locations play an important role in supply chain network design. In this paper, a mathematical model is developed to optimize the cost of purchasing raw materials and transportation cost of these raw materials from market locations to production unit(s) to meet the demand of the products timely. This model is developed considering multiple products, single production unit and time dependent demands of the products. Capacity of the paths from market locations to production unit(s), demand of raw materials in each time interval and for each product are taken as constraints in this mathematical formulation. Key decisions of the formulation are suitable locations and purchasing amount of each raw material in each time interval. The proposed approach is examined with a standard data set in LINGO platform and efficacy is shown with optimality.

Keywords

Supply chain management Multi products Raw materials management Market location 

References

  1. 1.
    Arntzen, B.C., et al.: Global supply chain management at digital corporation. Interfaces 25, 69–93 (1995)CrossRefGoogle Scholar
  2. 2.
    Cohen, M.A., Moon, S.: Impact of production scale economies, manufacturing complexity, and transportation costs on supply chain facility networks. J. Manuf. Oper. Manag. 3, 269–292 (1990)Google Scholar
  3. 3.
    Voudouris, V.T.: Mathematical programming techniques to debottleneck the supply chain of fine chemical industries. Comput. Chem. Eng. 20, S1269–S1274 (1996)CrossRefGoogle Scholar
  4. 4.
    Cohen, M.A., Lee, H.L.: Strategic analysis of integrated production-distribution systems: models and methods. Oper. Res. 36(2), 216–228 (1988)CrossRefGoogle Scholar
  5. 5.
    Lee, H.L., Billington, C.: Material management in decentralized supply chains. Oper. Res. 41(5), 835–847 (1993)CrossRefGoogle Scholar
  6. 6.
    Agarwal, A.: Managing raw materials in supply chains. Eur. J. Oper. Res. 239(3), 685–698 (2014)CrossRefGoogle Scholar
  7. 7.
    Liu, Y., Yang, J.: Joint pricing-procurement control under fluctuating raw materials costs. Int. J. Prod. Econ. 168, 91–104 (2015)CrossRefGoogle Scholar
  8. 8.
    Nilsen, J.: Delayed production and raw materials inventory under uncertainty. Int. J. Prod. Econ. 146, 337–345 (2013)CrossRefGoogle Scholar
  9. 9.
    Benita, M.: Beamon, supply chain design and analysis: models and methods. Int. J. Prod. Econ. 55, 281–294 (1998)CrossRefGoogle Scholar
  10. 10.
    Mula, J., et al.: Mathematical programming models for supply chain production and transport planning. Eur. J. Oper. Res. 204, 377–390 (2010)MathSciNetCrossRefGoogle Scholar
  11. 11.
    Saldanha-da-Gama, F., et al.: Facility location and supply chain management – A review. Eur. J. Oper. Res. 196, 401–412 (2009)MathSciNetCrossRefGoogle Scholar
  12. 12.
    Achzet, B., Helbig, C.: How to evaluate raw material supply risks- an overview. Resour. Policy 38, 435–447 (2013)CrossRefGoogle Scholar
  13. 13.
    Kolotzek, C.: A company-oriented model for the assessment of raw material supply risks, environmental impact and social implications. J. Clean. Prod. 176, 566 − 580 (2018)Google Scholar
  14. 14.
    Suryaningrat, I.B.: Raw material procurement on agroindustrial supply chain management: a case survey of fruit processing industries in Indonesia. Agric. Agric. Sci. Proc. 9, 253–257 (2016)Google Scholar
  15. 15.
    Mancheri, N.A., et al.: Resilience in the tantalum supply chain. Resour. Conserv. Recycl. 129, 56–69 (2018)Google Scholar
  16. 16.
    Schimf, S., et al.: The world of raw materials 2050: scoping future dynamics in raw materials through scenarios. Energy Proc. 125, 6–13 (2017)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Operation Management GroupIndian Institute of Management CalcuttaKolkataIndia
  2. 2.Department of MathematicsBangabasi Evening CollegeKolkataIndia

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