Evaluation of Sourcing Decision for Hydrogen Supply Chain Using an Integrated Multi-Criteria Decision Analysis (MCDA) Tool

Kasin Ransikarbum (), Wattana Chanthakhot, Tony Glimm and Jettarat Janmontree
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Kasin Ransikarbum: Department of Industrial Engineering, Ubonratchathani University, Ubonratchathani 34190, Thailand
Wattana Chanthakhot: Faculty of Engineering, Thonburi University, Bangkok 10160, Thailand
Tony Glimm: Institute of Logistics and Material Handling Systems (ILM), Otto von Guericke University Magdeburg, 39106 Magdeburg, Germany
Jettarat Janmontree: Institute of Logistics and Material Handling Systems (ILM), Otto von Guericke University Magdeburg, 39106 Magdeburg, Germany

Resources, 2023, vol. 12, issue 4, 1-22

Abstract: The use of fossil fuels has caused many environmental issues, including greenhouse gas emissions and associated climate change. Several studies have focused on mitigating this problem. One dynamic direction for emerging sources of future renewable energy is the use of hydrogen energy. In this research, we evaluate the sourcing decision for a hydrogen supply chain in the context of a case study in Thailand using group decision making analysis for policy implications. We use an integrative multi-criteria decision analysis (MCDA) tool which includes an analytic hierarchy process (AHP), fuzzy AHP (FAHP), and data envelopment analysis (DEA) to analyze weighted criteria and sourcing alternatives using data collected from a group of selected experts. A list of criteria related to sustainability paradigms and sourcing decisions for possible use of hydrogen energy, including natural gas, coal, biomass, and water, are evaluated. Our results reveal that political acceptance is considered the most important criterion with a global weight of 0.514 in the context of Thailand. Additionally, natural gas is found to be the foreseeable source for hydrogen production in Thailand with a global weight of 0.313. We also note that the analysis is based on specific data inputs and that an alternative with a lower score does not imply that the source is not worth exploring.

Keywords: hydrogen supply chain; multi-criteria decision analysis; analytic hierarchy process (AHP); fuzzy analytic hierarchy process (FAHP); data envelopment analysis (DEA) (search for similar items in EconPapers)
JEL-codes: Q1 Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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