TY - JOUR
T1 - A novel decision-making model for sustainable supply chain finance under uncertainty environment
AU - Abdel-Basset, Mohamed
AU - Mohamed, Rehab
AU - Sallam, Karam
AU - Elhoseny, Mohamed
N1 - Funding Information:
Egypt has different significant energy resources such as wind, solar, oil and natural gas. Gas is one of the most dynamic industries in Egypt. The government of Egypt supports international oil companies (IOC) to participate in the oil and gas industry, and now more than 50 international companies are operating in the country. One of the most important transit routes from North Africa and along the Mediterranean Sea to Asia is Suez Canal. The revenue earned from these transfer points is one of the most important sources of income for the country. The Zohr field is considered the largest finding ever made in the Mediterranean Sea in the field of gas production that started production since December 2017. Moreover, Nooros Gas Field produces 32 million cubic meters per day. In addition, 350 million cubic meters per day is produced from Atoll gas field in the East Delta. Ministry Petroleum Company in Egypt consists of more than fifty companies that compose a large part of Egypt's economy.
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/10/1
Y1 - 2020/10/1
N2 - Earlier studies in the sustainable supply chain (SSC) have been introduced since its submission, yet, research of sustainable supply chain finance (SSCF) is still insufficient. Also, these studies did not consider uncertainty in corresponding with the uncertain environment of the supply chain deficiencies, the integration of sustainable development and supply chain finance is essential. Hence, this paper evaluating a set of measurements to provide sustainable supply chain finance in the gas industry under uncertainty. In this paper, TODIM (acronym in Portuguese for Interactive and Multi-criteria Decision-Making) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods based on the Best-Worst Method (BWM) will be applied according to neutrosophic set to increase the accuracy of evaluation under uncertainty. According to expert evaluations, the results show that financial attributes and product/service management are the most substantial metrics for enhancing a firm's performance and obtain sustainable supply chain finance. Moreover, obtain price and cost information, consider product/service level, technology management, and demand management are important to build sustainable supply chain management.
AB - Earlier studies in the sustainable supply chain (SSC) have been introduced since its submission, yet, research of sustainable supply chain finance (SSCF) is still insufficient. Also, these studies did not consider uncertainty in corresponding with the uncertain environment of the supply chain deficiencies, the integration of sustainable development and supply chain finance is essential. Hence, this paper evaluating a set of measurements to provide sustainable supply chain finance in the gas industry under uncertainty. In this paper, TODIM (acronym in Portuguese for Interactive and Multi-criteria Decision-Making) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods based on the Best-Worst Method (BWM) will be applied according to neutrosophic set to increase the accuracy of evaluation under uncertainty. According to expert evaluations, the results show that financial attributes and product/service management are the most substantial metrics for enhancing a firm's performance and obtain sustainable supply chain finance. Moreover, obtain price and cost information, consider product/service level, technology management, and demand management are important to build sustainable supply chain management.
KW - BWM
KW - Neutrosophic set
KW - Sustainable supply chain finance
KW - TODIM
KW - TOPSIS
KW - Triple bottom line
UR - http://www.scopus.com/inward/record.url?scp=85087273258&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2020.122324
DO - 10.1016/j.jclepro.2020.122324
M3 - Article
AN - SCOPUS:85087273258
SN - 0959-6526
VL - 269
SP - 1
EP - 11
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 122324
ER -
