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43 results on '"Zohrehvandi, Shakib"'

3. A Two-Stage Machine Learning-Based Heuristic Algorithm for Buffer Management and Project Scheduling Optimization

Author

Zohrehvandi, Shakib, Soltani, Roya, Lefebvre, Dimitri, Zohrehvandi, Mehrnoosh, Tenera, Alexandra, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Mirzazadeh, Abolfazl, editor, Erdebilli, Babek, editor, Babaee Tirkolaee, Erfan, editor, Weber, Gerhard-Wilhelm, editor, and Kar, Arpan Kumar, editor

Published
2023
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15. Proposing a Risk Management Model in Construction of Combined-Cycle Power Plant Projects

Author

Zohrehvandi, Shakib, Tenera, Alexandra, Rannenberg, Kai, Editor-in-Chief, Sakarovitch, Jacques, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Pras, Aiko, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Furbach, Ulrich, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Camarinha-Matos, Luis M., editor, Almeida, Ricardo, editor, and Oliveira, José, editor

Published
2019
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19. Measuring productivity using Data Envelopment Analysis and Multiple- Objective Programming in flows, logistic and transportation.

Author

Amiri, Maghsoud, Esmaeeli, Jafar, Sharifi, Mani, Zohrehvandi, Shakib, and Knapcikova, Lucia

Subjects
INDUSTRIAL productivity, DATA envelopment analysis, BUSINESS models, INDUSTRIAL efficiency, ORGANIZATIONAL effectiveness
Abstract

The logistic and transportation plays an integral part in maintaining a well-functioning organization. One of the most extensively used, original, famous, and popular non-parametric methods for evaluating the efficiency of organizations is the Data Envelopment Analysis, DEA technique. Suppose we can formulate the concept of effectiveness in the DEA technique. In that case, we will be able to measure the productivity of organizations since productivity is a blend of efficiency and effectiveness. Several studies have been developed, e.g., the "Malmquist Productivity Index" (MPI) and the "Lunberger Productivity Index" (LPI), which assess the productivity of corporations through the DEA technique, but these models do not display all factors in a system. Also, they need at least two periods to appraise productivity. Furthermore, their two components of efficiency and effectiveness are not considerably evident. Moreover, sensitivity analysis is not possible in these models. Therefore, a model was presented that can measure the relative productivity of decision-making units through the technique of DEA, simultaneously in a period through the two elements of efficiency and effectiveness with the feature of sensitivity analysis and its solution method is more reliable due to the use of multi-objective planning method. In addition, a case study was used to indicate the application of the proposed model, which demonstrated that a branch could be efficient but unproductive. [ABSTRACT FROM AUTHOR]

Published
2024
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25. A fuzzy project buffer management algorithm: a case study in the construction of a renewable project

Author

Zohrehvandi, Shakib, Vanhoucke, Mario, Khalilzadeh, Mohammad, Amiri, Maghsoud, and Shadrokh, Shahram

Abstract

AbstractOne of the major problems with projects is that they are not completed according to schedule. Uncertainty always exists at the heart of real-world project scheduling problems. This paper introduces a fuzzy project buffer management (FPBM) algorithm which is a combination of the adaptive procedure with resource tightness (APRT) and fuzzy failure mode and effects analysis (FFMEA) methods. This paper aims to present an efficient model for project buffer sizing by taking FFMEA into account to reach a more realistic schedule. In this research, for increasing the efficiency of the APRT method, the FFMEA technique is simultaneously applied with them. This research was carried out as a case study in a renewable energy (RE) project. The methodology of this research consists of two phases. The first phase is the implementation of the APRT buffer sizing method. In the second phase of the research methodology, the fuzzy FMEA method is implemented. To validate the proposed model, the results are compared to several buffer management models proposed recently. Also, the results were compared with the results of similar projects. The findings show that considering the fuzzy FMEA technique in the APRT method, a more realistic schedule was obtained in this project.

Published
2023
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