only the utility of selected location is considered, but also the geographical distribution of service providers is also fulfilled with the minimum number of places.
5 Conclusion
The aim of this chapter was to propose a methodology to solve the location problem
of bioethanol distribution centers. In this regard, a hybrid methodology, a BWM-set
covering model, which determines most desirable places for distribution centers with
minimum cost, was suggested. To calculate the utility of candidate places using
BWM in the proposed method, a comprehensive framework of sustainability criteria
was proposed by reviewing existing studies. The proposed framework provided
useful information for experts about different aspects of bioethanol distribution
centers.
Based on the information provided in the framework, economic and environment
dimensions had the maximum and minimum criteria, respectively. The number of
references citing the economic dimension was far more than those citing the other
two aspects. By using the proposed framework and an MCDM method, such as
BWM suggested in this study, the performance of candidate alternatives can be
computed for any bioethanol distribution center. To select the optimal location of
distribution centers, a set covering model was formulated. We also suggested
Lp-metric as a method to find the solution of the proposed model.
The hybrid methodology was evaluated based on the data collected from Iran.
The result of evaluation indicated that environmental factor has the maximum
weight among all the criteria and Ilam has the highest utility to establish bioethanol
distribution center in Iran
This chapter provides useful information for both decision-makers and scholars.
Using the criteria presented in the framework, decision-makers can identify and
resolve the shortcomings which adversely affect the supply of bioethanol. Furthermore, the methodology discussed in this study is useful to select the optimal location
of distribution centers which should cover customers in a specific coverage radius, in
different fields such as oil and chemical industries.
References
Agrebi, M., Abed, M., & Omri, M. N. J. J. o. A. T. (2017). ELECTRE I based relevance decisionmakers feedback to the location selection of distribution centers. Journal of Advanced Transportation, 2017, Article ID 7131094.
Ahmad, W. N. K. W., Rezaei, J., Tavasszy, L. A., & de Brito, M. P. (2016). Commitment to and
preparedness for sustainable supply chain management in the oil and gas industry. Journal of
Environmental Management, 180, 202–213.
5 Location Selection of Bioethanol Distribution Centers
89
5 Conclusion
The aim of this chapter was to propose a methodology to solve the location problem
of bioethanol distribution centers. In this regard, a hybrid methodology, a BWM-set
covering model, which determines most desirable places for distribution centers with
minimum cost, was suggested. To calculate the utility of candidate places using
BWM in the proposed method, a comprehensive framework of sustainability criteria
was proposed by reviewing existing studies. The proposed framework provided
useful information for experts about different aspects of bioethanol distribution
centers.
Based on the information provided in the framework, economic and environment
dimensions had the maximum and minimum criteria, respectively. The number of
references citing the economic dimension was far more than those citing the other
two aspects. By using the proposed framework and an MCDM method, such as
BWM suggested in this study, the performance of candidate alternatives can be
computed for any bioethanol distribution center. To select the optimal location of
distribution centers, a set covering model was formulated. We also suggested
Lp-metric as a method to find the solution of the proposed model.
The hybrid methodology was evaluated based on the data collected from Iran.
The result of evaluation indicated that environmental factor has the maximum
weight among all the criteria and Ilam has the highest utility to establish bioethanol
distribution center in Iran
This chapter provides useful information for both decision-makers and scholars.
Using the criteria presented in the framework, decision-makers can identify and
resolve the shortcomings which adversely affect the supply of bioethanol. Furthermore, the methodology discussed in this study is useful to select the optimal location
of distribution centers which should cover customers in a specific coverage radius, in
different fields such as oil and chemical industries.
References
Agrebi, M., Abed, M., & Omri, M. N. J. J. o. A. T. (2017). ELECTRE I based relevance decisionmakers feedback to the location selection of distribution centers. Journal of Advanced Transportation, 2017, Article ID 7131094.
Ahmad, W. N. K. W., Rezaei, J., Tavasszy, L. A., & de Brito, M. P. (2016). Commitment to and
preparedness for sustainable supply chain management in the oil and gas industry. Journal of
Environmental Management, 180, 202–213.
5 Location Selection of Bioethanol Distribution Centers
89