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An Excel-Based Decision Support System for Supply Chain Design and Management of Biofuels

Author

Listed:
  • Ambarish M. Acharya

    (Mississippi State University, Starkville, MS, USA)

  • Daniela S. Gonzales

    (Department of Industrial and Systems Engineering, Mississippi State University, Starkville, MS, USA)

  • Sandra D. Eksioglu

    (Department of Industrial and Systems Engineering, Mississippi State University, Starkville, MS, USA)

  • Sumesh Arora

    (Mississippi Technology Alliances, Ridgeland, MS, USA)

Abstract

This article presents a Decision Support System (DSS) to aid managers with supply chain (SC) design and logistics management of biomass-for-biofuel production. These tools play a very important role in efficiently managing biomass-for-biofuel SCs and have the potential to reduce the cost of biofuels. The proposed model coordinates the long-term decisions of designing a SC with the medium term decisions of logistics management. This system has the ability to (a) identify locations and capacities for biorefineries, given the availability of biomass and costs; (b) estimate the minimum cost of delivering biofuels, which include transportation, investment, and processing costs; and (c) perform sensitivity analyses with respect to a number of parameters. Visual Basic for Applications (VBA) is used to create the interface of the DSS, and Excel's CPLEX Add-In is used to solve the mathematical models.

Suggested Citation

  • Ambarish M. Acharya & Daniela S. Gonzales & Sandra D. Eksioglu & Sumesh Arora, 2014. "An Excel-Based Decision Support System for Supply Chain Design and Management of Biofuels," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 5(4), pages 26-43, October.
  • Handle: RePEc:igg:joris0:v:5:y:2014:i:4:p:26-43
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    Cited by:

    1. Hossain, Tasmin & Jones, Daniela S. & Hartley, Damon S. & Thompson, David N. & Langholtz, Matthew & Davis, Maggie, 2022. "Nth-plant scenario for forest resources and short rotation woody crops: Biorefineries and depots in the contiguous US," Applied Energy, Elsevier, vol. 325(C).

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