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A Practical Review of Inventory Models in Supply Chain: A Special Focus in Agribusiness

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Advances in Manufacturing, Production Management and Process Control (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1216))

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Abstract

This article offers a review of the technical and systematic literature for inventory systems of the supply chain. The review has a special focus on agribusiness, with the aim of developing a classification framework grouping the models by similar characteristics. In addition, it provides an overview of the definition of Supply Chain Management synthesizes and assembles the numerous strategies and inventory models used in supply chain for which the scope of the paper study is included.

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References

  1. Ngniatedema, T., Chen, L., Guiffrida, A.L.: A modelling framework for improving supply chain. Int. J. Bus. Perform. Supply Chain Model. 8, 79–96 (2016)

    Google Scholar 

  2. Van der Vorst, J., Tromp, S.O., Zee, D.J.: Simulation modelling for food supply chain redesign; integrated decision making on product quality, sustainability and logistics. Int. J. Prod. Res. 47, 6611–6631 (2014)

    Article  Google Scholar 

  3. Leuschner, R., Rogers, D.S., Charvet, F.F.: A meta analysis of supply chain integration and firm performance. J. Supply Chain Manag. 49(2), 34–57 (2013)

    Article  Google Scholar 

  4. Cao, M., Vonderembse, M.A., Zhang, Q., Ragu-Nathan, T.: Supply chain collaboration: conceptualisation and instrument development. Int. J. Prod. Res. 48, 6613–6635 (2010)

    Article  Google Scholar 

  5. Shukla, M., Jharkharia, S.: Agri-fresh produce supply chain management: a state-of-the-art literature review. Int. J. Oper. Prod. Manag. 33, 114–158 (2013)

    Article  Google Scholar 

  6. Gardas, B., Raut, R., Jagtap, A. H., Narkhede, B.: Exploring the key performance indicators of green supply chain management in agro-industry. J. Model. Manag. (2018)

    Google Scholar 

  7. Behzadi, G., O’Sullivan, M., Olsen, T.L., Zhang, A.: Allocation flexibility for agribusiness supply chains under market demand disruption. Int. J. Prod. Res. 56(10), 3524–3546 (2018)

    Article  Google Scholar 

  8. Beshara, S., El-Kilany, K.S., Galal, N.M.: Simulation of agri-food supply chains. Int. J. Ind. Manuf. Eng. (2012)

    Google Scholar 

  9. Chao, X., Chen, J., Wang, S.: Dynamic inventory management with cash flow constraints. Naval Res. Logistics 55, 758–768 (2008)

    Article  MathSciNet  Google Scholar 

  10. Ge, H., Nolan, J., Gray, R.: Identifying strategies to mitigate handling risks in the Canadian grain supply chain. Can. J. Agric. Econ. (2014)

    Google Scholar 

  11. Garai, T., Chakraborty, D., Kumar Roy, T.: Multi-objective inventory model with both stock-dependent demand rate and holding cost rate under fuzzy random environment. Ann. Data Sci. 1–21 (2019)

    Google Scholar 

  12. Behzadi, G., O’Sullivan, M.J., Olsen, T.L., Zhang, A.: Agribusiness supply chain risk management: a review of quantitative decision models. Omega 79, 21–42 (2018)

    Google Scholar 

  13. Arnaout, J., Maatouk, M.: Optimization of quality and operational costs through improved scheduling of harvest operations. Int. Trans. Oper. Res. 17, 595–605 (2010)

    Article  Google Scholar 

  14. Albornoz, M., Urrutia-Gutiérrez, C.: A mixed-integer linear optimization model for a two-echelon agribusiness supply chain. Electron. Notes Discrete Math. 69, 253–260 (2008)

    Article  MathSciNet  Google Scholar 

  15. Burer, S., Jones, P.C., Lowe, T.J.: Coordinating the supply chain in the agricultural seed industry. Eur. J. Oper. Res. 185(1), 354–377 (2008)

    Article  MathSciNet  Google Scholar 

  16. Fen, C., Cai, R.: Agri-food supply chain characteristics based on different circulation modes. In: 2014 International Conference of Logistics Engineering (2014)

    Google Scholar 

  17. Bohle, C., Maturana, S., Vera, J.: A robust optimization approach to wine grape. Eur. J. Oper. Res. 245–252 (2010)

    Google Scholar 

  18. Yu, Y., Wang, Z., Liang, L.: A vendor managed inventory supply chain with deteriorating raw materials and products. Int. J. Prod. Econ. 136, 266–274 (2012)

    Article  Google Scholar 

  19. Darwish, M., Odah, O.: Vendor managed inventory model for single-vendor multi-retailer supply chains. Eur. J. Oper. Res. 204, 473–484 (2010)

    Article  Google Scholar 

  20. Sue-Ann, G., Ponnambalam, S., Jawahar, N.: Evolutionary algorithms for optimal operating parameters of vendor managed inventory systems in a two-echelon supply chain. Adv. Eng. Softw. 52, 47–54 (2012)

    Article  Google Scholar 

  21. Nagaraju, D., Rao, A.R., Narayanan, S.: Optimal lot sizing and inventory decisions in a centralised and decentralised two echelon inventory system with price dependent demand. Int. J. Logistics Syst. Manag. 20, 1–23 (2015)

    Article  Google Scholar 

  22. Agi, M.A., Soni, H.N.: Joint pricing and inventory decisions for perishable products with age-, stock-, and price-dependent demand rate. J. Oper. Res. Soc. (2019)

    Google Scholar 

  23. Vijayashree, M., Uthayakumar, R.: A single-vendor and a single-buyer integrated inventory model with ordering cost reduction dependent on lead time. J. Ind. Eng. Int. 13, 393–416 (2017)

    Article  Google Scholar 

  24. Ambekar, S., Rohit, K.: Optimization of inventory policies of food grain distribution stage in public distribution system. Benchmarking Int. J. 26(2), 692–713 (2019)

    Article  Google Scholar 

  25. Esmaeili, M., Naghavi, M.S., Ghahghaei, A.: Optimal (R, Q) policy and pricing for two-echelon supply chain with lead time and retailer’s service-level incomplete information. J. Ind. Eng. Int. 14, 43–53 (2018)

    Article  Google Scholar 

  26. Aria Nezhad, M.G., Makuie, A., Khayatmoghadam, S.: Developing and solving two-echelon inventory system for perishable items in a supply chain: case study (Mashhad Behrouz Company). J. Ind. Eng. Int. 9, 39 (2013)

    Article  Google Scholar 

  27. Taher, A., Masoud, M., Kumaraswamy, P.: Optimal randomized ordering policies for a capacitated two-echelon distribution inventory system. Comput. Ind. Eng. 124, 88–99 (2018)

    Article  Google Scholar 

  28. Zare, A.G., Abouee-Mehrizi, H., Berman, O.: Exact analysis of capacitated two-echelon inventory systems with priorities, manufacturing & service operations management (2017)

    Google Scholar 

  29. Rami, A., Moncer, H., Osama, A.: Two stage closed loop supply chain models under consignment stock agreement and different procurement strategies. Appl. Math. Model. 65, 164–186 (2019)

    Article  MathSciNet  Google Scholar 

  30. Beamon, B.: Supply chain design and analysis: models and methods. Int. J. Prod. Econ. 55(3), 281–294 (1998)

    Article  Google Scholar 

  31. Wilson, W., Carlson, D., Dahl, B.: Logistics and supply chain strategies in grain exporting. Agribusiness 20, 449–464 (2004)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Industrial Engineering Program, Universidad Peruana de Ciencias Aplicadas, Lima, Peru

    Nicole Barrientos, Luz Tapia & Edgar Ramos

  2. M.S. Global Supply-Chain Mgmt, University of Southern California, Los Angeles, CA, USA

    Steven Dien

  3. College of Business, Colorado State University, Fort Collins, CO, USA

    Kelsey Provost

Authors
  1. Nicole Barrientos
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  2. Luz Tapia
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  3. Edgar Ramos
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  4. Steven Dien
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  5. Kelsey Provost
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Corresponding author

Correspondence to Edgar Ramos .

Editor information

Editors and Affiliations

  1. Faculty of Engineering Management, Poznan University of Technology, Poznan, Poland

    Beata Mrugalska

  2. Poznan University of Technology, Poznan, Poland

    Stefan Trzcielinski

  3. University of Central Florida, Winter Park, FL, USA

    Waldemar Karwowski

  4. Architecture Department, University of Chieti-Pescara, Pescara, Pescara, Italy

    Massimo Di Nicolantonio

  5. Lincoln School of Design, University of Lincoln, Lincoln, UK

    Emilio Rossi

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Barrientos, N., Tapia, L., Ramos, E., Dien, S., Provost, K. (2020). A Practical Review of Inventory Models in Supply Chain: A Special Focus in Agribusiness. In: Mrugalska, B., Trzcielinski, S., Karwowski, W., Di Nicolantonio, M., Rossi, E. (eds) Advances in Manufacturing, Production Management and Process Control. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1216. Springer, Cham. https://doi.org/10.1007/978-3-030-51981-0_45

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  • DOI: https://doi.org/10.1007/978-3-030-51981-0_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-51980-3

  • Online ISBN: 978-3-030-51981-0

  • eBook Packages: EngineeringEngineering (R0)

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