A hybrid framework for evaluating the performance of port container terminal operations
| Autor: | Charif Mabrouki, Kaoutar Douaioui, Nabil Lamii, Mouhsene Fri, El Alami Semma |
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| Rok vydání: | 2020 |
| Předmět: |
Terminal (electronics)
business.industry Computer science Geography Planning and Development Container (abstract data type) Container Terminal (CT) Performance Measurement System (PMS) Data Envelopment Analysis (DEA) Artificial Neural Network (ANN) Moth-Search Algorithm (MSA) Ocean Engineering business Engineering (miscellaneous) Port (computer networking) Social Sciences (miscellaneous) Computer network |
| Zdroj: | Pomorstvo Volume 34 Issue 2 |
| ISSN: | 1846-8438 1332-0718 |
| Popis: | This work intends to integrate artificial neural network (ANN) and data envelopment analysis (DEA) in a single framework to evaluate the performance of operations in the container terminal. The proposed framework is based on three steps. In the first step, a proposed identify the performance measures objectives and the indicators affecting the system. In the second step, the efficiency scores of the system are computed by using the Charnes Cooper and Rhodes (CCR) model (oriented inputs). In the last step, the Moth Search Algorithm (MSA) is employed as a new method for training the Feedforward Neural Network (FNN) to determine the efficiency scores. To demonstrate the efficacy of the proposed framework, two container terminals of Tangier and Casablanca are adopted to evaluate the performance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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