Skip to main content
SpringerLink
Log in

Optimization of Purchasing Management of a Portuguese Company in the Retail Sector

  • Conference paper
  • First Online:
Innovation, Engineering and Entrepreneurship (HELIX 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 505))

  • 2359 Accesses

Abstract

The current competitive environment requires greater customer orientation and better business performance to match the clients’ expectations with varied products and profitable sales prices. This has led to Supply Chain Management (SCM) as a source of competitive advantage. However, given the complexity of Supply Chain (SC) planning, optimization based quantitative models emerged as a support for decision-making. This article presents an empirical study with real data of a Portuguese company of the retail sector. In order to contribute with “tailor-for” quantitative models for improving decision-making in the company’s purchasing management, in this paper the industrial challenge and the company are introduced, followed by a preliminary data analysis. This analysis has require for deciding the real instances that will be used on the validation of the quantitative model that will be developed in future.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Purchase factor - quantity of products to the unit present in the order logistics unit.

References

  1. Gold, S., Seuring, S., Beske, P.: Sustainable supply chain management and inter-organizational resources: a literature review. Corp. Soc. Responsib. Environ. Manag. 17(4), 230–245 (2010)

    Google Scholar 

  2. Seuring, S.: A review of modeling approaches for sustainable supply chain management. Decis. Support Syst. 54(4), 1513–1520 (2013)

    Article  Google Scholar 

  3. Barbosa-Póvoa, A.: As cadeias de abastecimento e a sustentabilidade. Boletim APDIO 55, 5–9 (2016)

    Google Scholar 

  4. Stadtler, H.: Supply chain management and advanced planning—basics, overview and challenges. Eur. J. Oper. Res. 163(3), 575–588 (2005)

    Article  MathSciNet  Google Scholar 

  5. Mehmeti, G.: A literature review on supply chain management evolution. In: Economic and Social Development: Book of Proceedings, p. 482 (2016)

    Google Scholar 

  6. Lummus, R.R., Krumwiede, D.W., Vokurka, R.J.: The relationship of logistics to supply chain management: developing a common industry definition. Ind. Manag. Data Syst. 101(8), 426–432 (2001)

    Article  Google Scholar 

  7. Stock, J.R., Boyer, S.L.: Developing a consensus definition of supply chain management: a qualitative study. Int. J. Phys. Distrib. Logist. 39(8), 690–711 (2009)

    Article  Google Scholar 

  8. Hou, H., Chaudhry, S., Chen, Y., Hu, M.: Physical distribution, logistics, supply chain management, and the material flow theory: a historical perspective. Inf. Technol. Manag. 18(2), 107–117 (2017)

    Article  Google Scholar 

  9. CSCMP. Supply chain management - terms and glossary (2013)

    Google Scholar 

  10. Hübner, A.H., Kuhn, H., Sternbeck, M.G.: Demand and supply chain planning in grocery retail: an operations planning framework. Int. J. Retail Distrib. Manag. 41(7), 512–530 (2013)

    Article  Google Scholar 

  11. Joyce, W.B.: Accounting, purchasing and supply chain management. Supply Chain Manag. 11(3), 202–207 (2006)

    Article  Google Scholar 

  12. Scheuermann, A., Leukel, J.: Task ontology for supply chain planning-a literature review. Int. J. Comput. Integr. Manuf. 27(8), 719–732 (2014)

    Article  Google Scholar 

  13. Fleischmann, B., Meyr, H.: Planning hierarchy, modeling and advanced planning systems. In: Handbooks in Operations Research and Management Science, vol. 11, pp. 455–523 (2003)

    Chapter  Google Scholar 

  14. Fleischmann, B., Meyr, H., Wagner, M.: Advanced planning. In: Supply Chain Management and Advanced Planning, pp. 81–106. Springer (2008)

    Google Scholar 

  15. Brandenburg, M., Govindan, K., Sarkis, J., Seuring, S.: Quantitative models for sustainable supply chain management: developments and directions. Eur. J. Oper. Res. 233(2), 299–312 (2014)

    Article  MathSciNet  Google Scholar 

  16. Govindan, K., Soleimani, H., Kannan, D.: Reverse logistics and closed-loop supply chain: a comprehensive review to explore the future. Eur. J. Oper. Res. 240(3), 603–626 (2015)

    Article  MathSciNet  Google Scholar 

  17. Mansouri, S.A., Gallear, D., Askariazad, M.H.: Decision support for build-to-order supply chain management through multiobjective optimization. Int. J. Prod. Econ. 135(1), 24–36 (2012)

    Article  Google Scholar 

  18. R Core Team: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna (2016)

    Google Scholar 

  19. Fourer, R., Gay, D., Kernighan, B.: AMPL: A Modeling Language for Mathematical Programming, vol. 117. Boyd & Fraser, Danvers (1993)

    MATH  Google Scholar 

  20. Gurobi Optimization: Gurobi optimizer 5.0. Gurobi (2013). http://www.gurobi.com

Download references

Author information

Authors and Affiliations

  1. CIICESI - Center for Research and Innovation in Business Sciences and Information Systems, School of Technology and Management, Polytechnic of Porto, Porto, Portugal

    Ana Teixeira, Eliana Costa e Silva & João Ferreira Santos

Authors
  1. Ana Teixeira
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Eliana Costa e Silva
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. João Ferreira Santos
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ana Teixeira .

Editor information

Editors and Affiliations

  1. School of Engineering, University of Minho, Guimarães, Portugal

    José Machado

  2. School of Engineering, University of Minho, Guimarães, Portugal

    Filomena Soares

  3. Faculty of Engineering, University of Porto, Porto, Portugal

    Germano Veiga

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Teixeira, A., Costa e Silva, E., Santos, J.F. (2019). Optimization of Purchasing Management of a Portuguese Company in the Retail Sector. In: Machado, J., Soares, F., Veiga, G. (eds) Innovation, Engineering and Entrepreneurship. HELIX 2018. Lecture Notes in Electrical Engineering, vol 505. Springer, Cham. https://doi.org/10.1007/978-3-319-91334-6_107

Download citation

Publish with us

Policies and ethics

Search

Navigation