Biofuel supply chain considering depreciation cost of installed plants

Authors

  • Amir Farshbaf-Geranmayeh School of Industrial and Systems Engineering, College of Engineering, University of Tehran, P.O. Box 11155-45632, Tehran, Iran
  • Farshad Ramezankhani School of Industrial and Systems Engineering, College of Engineering, University of Tehran, P.O. Box 11155-45632, Tehran, Iran
  • Masoud Rabbani School of Industrial and Systems Engineering, College of Engineering, University of Tehran, P.O. Box 11155-45632, Tehran, Iran
  • Ramin Giahi School of Industrial and Systems Engineering, College of Engineering, University of Tehran, P.O. Box 11155-45632, Tehran, Iran
Abstract:

Due to the depletion of the fossil fuels and major concerns about the security of energy in the future to produce fuels, the importance of utilizing the renewable energies is distinguished. Nowadays there has been a growing interest for biofuels. Thus, this paper reveals a general optimization model which enables the selection of preprocessing centers for the biomass, biofuel plants, and warehouses to store the biofuels. The objective of this model is to maximize the total benefits. Costs of the model consist of setup cost of preprocessing centers, plants and warehouses, transportation costs, production costs, emission cost and the depreciation cost. At first, the deprecation cost of the centers is calculated by means of three methods. The model chooses the best depreciation method in each period by switching between them. A numerical example is presented and solved by CPLEX solver in GAMS software and finally, sensitivity analyses are accomplished.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

An Optimization Model for Biofuel Supply Chain

Biofuels have attracted much attention as a sutuible substitute for fossil fuels in last decade. Designing an efficient supply chain is an essential requirement for commercialization of biofuel production. This paper presents a mixed integer linear programming (MILP) model to design biofuel supply chains in which the biofuel demand is under ARMA time series models. It is studied how ARMA time s...

full text

An Integrated Hydrocarbon Biofuel and Petroleum Supply Chain: Designing and Planning a Dynamic Supply Chain Network

One of the main challenges of bioenergy sector development is the cost of biomass supply chain resulted from inefficient bioenergy production from low energy content biomass feedstocks, high logistics costs of biomass production, handling and transportation. Another main aspect to be considered is that the configuration of a biofuel supply chain can be dynamic which evolve over time. Growing de...

full text

An Integrated Hydrocarbon Biofuel and Petroleum Supply Chain: Designing and Planning a Dynamic Supply Chain Network

One of the main challenges of bioenergy sector development is the cost of biomass supply chain resulted from inefficient bioenergy production from low energy content biomass feedstocks, high logistics costs of biomass production, handling and transportation. Another main aspect to be considered is that the configuration of a biofuel supply chain can be dynamic which evolve over time. Growing de...

full text

Biofuel supply chain, market, and policy analysis

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ix CHAPTER

full text

Biofuel Supply Chain Network Design and Operations

The rapidly growing biofuel industry poses considerable challenges to its supply chain network design and operations. In this chapter, we introduce key characteristics of the biofuel supply chain that comprises of feedstock production, biomass logistics, biofuel production and distribution. We then discuss the recent literature on biofuel supply chain models. Using an illustrative biofuel suppl...

full text

COST MALMQUIST PRODUCTIVITY INDEX IN SUPPLY CHAIN

The index is excellent by the Malmquist index as extended to productivity measurement. The index developed here is defined in terms of input cost rather than input quantity distance functions in supply chain. Therefore, we propose productivity change is decomposed into overall efficiency and cost technical change. These decompositions provide a clearer situation of the root sources of supply ch...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 12  issue 2

pages  -

publication date 2016-06-01

By following a journal you will be notified via email when a new issue of this journal is published.

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023