Hanne, Thomas

Profilbild
E-Mail-Adresse
Geburtsdatum
Projekt
Organisationseinheiten
Berufsbeschreibung
Nachname
Hanne
Vorname
Thomas
Name
Hanne, Thomas

Filter

2018 - 201922020 - 20224
Filter zurücksetzen

Einstellungen

Autor:in: Yazdi, Amir Karbassi × Dateien dazu vorhanden?: Ja ×

Suchergebnisse

Gerade angezeigt 1 - 6 von 6
  • Vorschaubild
    Publikation
    Analyzing the investment behavior in the Iranian stock exchange during the COVID-19 pandemic using hybrid DEA and data mining techniques
    (Hindawi, 2022) Sarfaraz, Amir Homayoun; Yazdi, Amir Karbassi; Hanne, Thomas; Gizem, Özaydin; Khalili-Damghani, Kaveh; Husseinagha, Saiedeh Molla [in: Mathematical Problems in Engineering]
    The main purpose of this paper is to investigate the effects of COVID-19 regarding the efficiency of industries based on data in the Tehran stock market. A hybrid model of Data Envelopment Analysis (DEA) and data mining techniques is used to analyze the investment behavior in Tehran stock market. Particularly during the COVID-19 pandemic, many companies face financial crises. That is why companies with inferior performance must be benchmarked with efficient companies. First, the financial data of investments on selective companies are analyzed using data mining approaches to recognize the behavioral patterns of investors and securities. Second, customers are clustered into 3 selling and 4 buying groups using data mining techniques. Then, the efficiency of active companies in stock exchange is evaluated using input-oriented DEA. The results indicate that, among 23 industries listed on the stock market in Iran, solely nine were efficient in 2019. Moreover, in 2020, the number of efficient industries further decreased to six industries. Comparing the obtained results with those of another study which was conducted in 2018 by other researchers revealed that COVID-19 strongly affects the performance of an industry and some industries which were efficient in the past such as the bank industry became inefficient in the following year.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild
    Publikation
    Supplier selection in the oil & gas industry: a comprehensive approach for multi-criteria decision analysis
    (Elsevier, 2021) Yazdi, Amir Karbassi; Fernandes Wanke, Peter; Hanne, Thomas; Abdi, Farshid; Sarfaraz, Amir Homayount [in: Socio-Economic Planning Sciences]
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild
    Publikation
    A binary differential evolution algorithm for airline revenue management: a case study
    (Springer, 2020) Yazdi, Amir Karbassi; Kaviani, Mohamed Amin; Hanne, Thomas; Ramos, Andres [in: Soft Computing]
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild
    Publikation
    Evaluating the performance of Colombian banks by hybrid multicriteria decision making methods
    (Vilnius Gediminas Technical University, 2020) Yazdi, Amir Karbassi; Hanne, Thomas; Osorio Gómez, Juan Carlos [in: Journal of Business Economics and Management]
    The aim of the study in this paper is to show how the performance of banks can be evaluated by ranking them based on Balanced Scorecard (BSC) and Multicriteria Decision Making (MCDM) methods. Nowadays, assessing the performance of companies is a vital work for finding their weaknesses and strengths. The banking sector is an important area in the service sector. Many people want to know which bank performs best when entrusting their money to them. For assessing the performance of banks, BSC can be used. This method helps to translate strategic issues to meaningful insights for the respective financial institutions. After that, the banks will be ranked based on performance indicators by the Weighted Aggregated Sum Product Assessment (WASPAS) method. Because this method is based on a decision matrix, weights are required. To find such weights, the Step-wise Weight Assessment Ratio Analysis (SWARA) method is applied. The results show that the International Bank of Colombia has a much better performance than other Colombian banks. Besides, further insights regarding the evaluation process based on BSC, SWARA, and WASPAS are obtained.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild
    Publikation
    A credit rating model in a fuzzy inference system environment
    (MDPI, 2019) Yazdi, Amir Karbassi; Hanne, Thomas; Wang, Yong J.; Wee, Hui-Ming [in: Algorithms]
    One of the most important functions of an export credit agency (ECA) is to act as an intermediary between national governments and exporters. These organizations provide financing to reduce the political and commercial risks in international trade. The agents assess the buyers based on financial and non-financial indicators to determine whether it is advisable to grant them credit. Because many of these indicators are qualitative and inherently linguistically ambiguous, the agents must make decisions in uncertain environments. Therefore, to make the most accurate decision possible, they often utilize fuzzy inference systems. The purpose of this research was to design a credit rating model in an uncertain environment using the fuzzy inference system (FIS). In this research, we used suitable variables of agency ratings from previous studies and then screened them via the Delphi method. Finally, we created a credit rating model using these variables and FIS including related IF-THEN rules which can be applied in a practical setting.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild
    Publikation
    Finding the best third-party logistics in the automobile industry
    (Hindawi, 2018) Yazdi, Amir Karbassi; Hanne, Thomas; Osorio Gómez, Juan Carlos; García Alcaraz, Jorge Luis [in: Mathematical Problems in Engineering]
    Given the current economic climate, many companies are considering outsourcing some activities to reduce costs and to focus on their core competency; thus, by adopting a competency-focused approach they enhance their chances to survive in a growing and competitive market. Third-Party Logistics (3PL) is a system that facilitates logistic activities. First, however, the organizations need to assess which companies are suitable for outsourcing. The aim of this paper is to depict a structural system for 3PL selection and validate it in real-world automobile companies. We use the Delphi method to determine criteria for 3PL selection and apply Evaluation by an Area-based Method for Ranking (EAMR) to prioritize the candidate alternatives. This method is used in combination with a Shannon Entropy based approach for determining the required weights. Computational analysis shows which criteria and companies have high priority, and based on that candidate alternatives for outsourcing are evaluated. The results suggest how automobile companies select 3PL companies and allocate their work to them.
    01A - Beitrag in wissenschaftlicher Zeitschrift