Curriculum Vitae:

since 11/2025 University of Duisburg-Essen
Research assistant at the Chair of Energy Economics
Postdoctoral researcher

02/2021 - 11/2025 RWTH Aachen University
PhD student in the field of "Management, Economics and Business Administration"

09/2016 - 05/2019 Iran University of Science and Technology
Master's Degree "Industrial Engineering" with a focus on "Engineering Management"

09/2011 - 05/2014 University of Kurdistan
Bachelor's Degree "Industrial Engineering"

Fields of Research:

• Decision Support Systems
• Operations Research

Projects:

BatMan - Batteries Applications for the Trans-Management of Adequacy and Network

FLECSI- Dynamic determination of flexibility potential for active load shifting by intelligent edge controllers for sustainable steel production

Publications:

• Hendiani, Sepehr; Torkayesh, Ali Ebadi; Venghaus, Sandra; Walther, Grit: Leading the green charge: A novel type-2 fuzzy VIKOR method applied to eco-conscious freight transport. In: Expert Systems with Applications, Vol285 (2025), No 128082. doi:10.1016/j.ejor.2024.02.039Citation
• Hendiani, Sepehr; Walther, Grit: Towards sustainable futures: Rethinking supplier selection through interval-valued intuitionistic fuzzy decision-making. In: International Journal of Production Economics, Vol285 (2025), No 109620. doi:10.1016/j.ijpe.2025.109620Citation
• Torkayesh, Ali Ebadi; Hendiani, Sepehr; Walther, Grit: Fueling the future: Overcoming the barriers to market development of renewable fuels in Germany using a novel analytical approach. In: European Journal of Operational Research, Vol316 (2024), No 3, p. 1012-1033. doi:10.1016/j.ejor.2024.02.039Citation
• Hendiani, Sepehr; Walther, Grit: Double-layer multi-criteria group decision-making approach using neutralized possibility degree-based decision matrix with fuzzy information. In: Engineering Applications of Artificial Intelligence, Vol133 (2024), No 108276. doi:10.1016/j.engappai.2024.108276Citation
• Hendiani, Sepehr; Walther, Grit: Sustainability performance evaluation of renewable energy systems using a new multi-expert multi-criteria interval type-2 fuzzy distance to ideal solution approach. In: Applied Energy, Vol347 (2023), No 121005. doi:10.1016/j.apenergy.2023.121436Citation
• Hendiani, Sepehr; Walther, Grit: TOPSISort-L: An extended likelihood-based interval-valued intuitionistic fuzzy TOPSIS-sort method and its application to multi-criteria group decision-making. In: Expert Systems with Applications, Vol233 (2023), No 121005. doi:10.1016/j.eswa.2023.121005Citation
• Hendiani, Sepehr; Lev, Benjamin; Gharehbaghi, Afsaneh: Diagnosing social failures in sustainable supply chains using a modified Pythagorean fuzzy distance to ideal solution. In: Computers & Industrial Engineering, Vol154 (2021), No 107156. doi:10.1016/j.cie.2021.107156AbstractCitation

  Social sustainability can be mentioned as one of the pivotal objectives towards sustainable development which has received the least attention comparing to environmental and economic dimensions during these past years. Due to its impact on organization’s competitive power, researchers have proposed models to measure social performance in supply chains. However, most of these researches reveal shortcomings once encountering the cases with a huge number of criteria due to their complex computations. In order to fill this gap, this study proposes a new soft computing multi-criteria interval-valued Pythagorean fuzzy distance to ideal solution approach based on interval-valued Pythagorean closeness which performs outstandingly in cases with a high fluctuation in the number of criteria. A new mechanism is defined to distinguish the weak performing social factors through supply chains by classifying them into four categorize based on their performance and distance to the best performing factors. This approach is unique in the sense that it both covers a remarkable amount of uncertainty and eases the computational processes of the previous multi-criteria decision making approaches by modifying the steps to select the most ideal solution. The feasibility and applicability of this approach have been validated by applications to a numerical case and comparative analysis.

• Hendiani, Sepehr; Mahmoudi, Amin; Liao, Huchang: A multi-stage multi-criteria hierarchical decision-making approach for sustainable supplier selection. In: Applied Soft Computing, Vol94 (2020), No 106456. doi:10.1016/j.asoc.2020.106456AbstractCitation

  Sustainable supplier selection is known as a crucial objective in supply chains due to its impact on profitability, adorability, flexibility, and agility of the system. This study proposes a new multi-stage hierarchical fuzzy index-based approach with which decision-makers are empowered to select the most sustainable supplier based on sustainability triple bottom line criteria. Besides, a new fuzzy extension for the best-worst method is proposed considering trapezoidal fuzzy membership functions that can cover uncertainty under imprecise environments. This study makes a contribution to the literature of sustainable supply chains in the sense that it facilitates the computational complexity of previous decision-making approaches by collecting the most relevant criteria and a straightforward fuzzy process. Besides, the graded mean integration representation method has been adopted for prioritizing the supplier based on their performance of sustainable development, which enhances the accuracy of selection compared with previous ranking methods. The proposed study can be utilized as a benchmark for sustainability evaluations between suppliers. A real-world case study is resolved to illustrate the superiority and broad application of the proposed model.

• Hendiani, Sepehr; Liao, Huchang; Ren, Ruxue; Lev, Benjamin: A likelihood-based multi-criteria sustainable supplier selection approach with complex preference information. In: Information Sciences, Vol536 (2020), p. 135-155. doi:10.1016/j.ins.2020.05.065AbstractCitation

  Interval type-2 fuzzy sets are more valuable than conventional type-1 fuzzy sets in terms of covering more uncertain and complex preference information. Interval type-2 trapezoidal fuzzy sets, as a particular form of interval type-2 fuzzy sets, can precisely express subjective evaluations and qualitative assessments. In this paper, the concept of the likelihoods of interval type-2 fuzzy preference relations are utilized to propose a novel multi-criteria decision-making model for the sustainable supplier selection problems in which the weights of criteria and performance ratings are expressed as interval type-2 trapezoidal fuzzy sets. A new likelihood-based multi-criteria sustainable supplier selection model is proposed by encapsulating assorted sustainability triple bottom line criteria, collected from the state-of-the-art literature, which turns this framework into a benchmark approach for the evaluations of sustainable suppliers. The practical effectiveness of the proposed likelihood-based method is illustrated by the applications to four real cases and the comparative analysis demonstrates the validation and advantages of the proposed method over conventional multi-criteria sustainable supplier selection methods.

• Hendiani, Sepehr; Bagherpour, Morteza; Mahmoudi, Amin; Liao, Huchang: Z-number based earned value management (ZEVM): A novel pragmatic contribution towards a possibilistic cost-duration assessment. In: Computers & Industrial Engineering, Vol143 (2020), No 106430. doi:10.1016/j.cie.2020.106430AbstractCitation

  The Earned value management (EVM) is one of the simplified analytical cost-duration assessment tools which assist project managers in monitoring the status of the project undertaken. The EVM has been elaborated by both deterministic and uncertain numbers such as fuzzy logic in the light of time. Even though cost-duration analysis is so sensitive and fluctuating in projects, the adopted approaches were unable to consider the conspicuous unreliability which is always involving the decision-making data. This problem impedes project managers to trust the foreseen inferences. To help in overcoming this critical deficiency, Z-numbers were proposed to take possibilities and reliabilities into account. Applying Z-numbers and possibilistic modeling in the EVM is a challenging topic which causes the accuracy of cost-duration tracing results to be significantly enhanced. This paper presents the application of z-numbers for modeling the earned value indicators and proves the superiority of the ZEVM against traditional fuzzy EVM. This work originally adds to the state-of-the-art literature on earned value management by presenting a proposal and applications of a new as Z-Earned Value Management (ZEVM). An illustrative case is resolved to magnify the capability of the proposed framework in dealing with higher levels of uncertainty associated with decision-making data.

• Hendiani, Sepehr; Bagherpour, Morteza: Developing an integrated index to assess social sustainability in construction industry using fuzzy logic. In: Journal of Cleaner Production, Vol230 (2019), p. 647-662. doi:10.1016/j.jclepro.2019.05.055AbstractCitation

  A sustainable construction ought to enhance the quality of social, economic and environmental practices by determining the current sustainability level and identifying the weak points and consequently improving them. Even though so many studies have been carried out the context of economic and environments in construction projects, less attention was always paid to the social aspect of the construction projects. In this article, a novel construction social sustainability performance evaluation is presented based on fuzzy logic to evaluate the current social sustainability status in associated construction. This study originally adds to the state-of-the-art literature on sustainable construction by articulating a proposal and applications of a new as fuzzy construction social sustainability index. Critical social sustainability attributes are collected from the literature review and expert's judgments to address main dimensions and enablers of construction projects. The proposed index is validated by both triangular fuzzy and crisp approaches, and the results showed that all approaches lead to the same conclusions. Fuzzy performance importance index is then obtained and ranked for all attributes to identify obstacles and challenges behind the social sustainable construction concept. The scientific value of the proposed model is determined by its proper contribution in computing the new index with trapezoidal fuzzy principles and identifying the obstacles of associated construction.