Simulation-based optimization for performance enhancement of public departments

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dc.contributor.authorBataineh, Omar
dc.contributor.authorAomar, Raid Al
dc.contributor.authorShakra, Ammar Abu
dc.date.accessioned2022-01-05T12:18:29Z
dc.date.accessioned2023-08-20T11:14:06Z
dc.date.available2022-01-05T12:18:29Z
dc.date.available2023-08-20T11:14:06Z
dc.date.issued2010-06
dc.descriptionEnhancement of real-world production and business systems often entails solving complex and NP-hard optimization problems developed with noticeable formulation and modeling challenges. This is often attributed to three main characteristics of real-world performance; complexity, nonlinearity, and dynamic and stochastic behavior [1].
dc.description.abstractThis paper proposes an approach for enhancing the performance of public departments that are characterized by congestion and low efficiency. The proposed approach utilizes discrete-event simulation (DES) tools integrated with optimization, and employs the key performance indicator (KPI) concept. Applied to the citizen affairs and passports (CAP) department in Jordan as a case study, a DES model was developed with the aid of ARENA software. Optimization results using OptQuest showed that performance of the optimized CAP department was better in various aspects compared to the current department. Waiting time was reduced the most by 91.7% on average, while number of processed documents was increased by 8.2%. The total daily revenue for the optimized CAP department was higher by 19.7%.en_US
dc.identifier.citationBataineh, O., Al-Aomar, R., & Abu-Shakra, A. (2010). Simulation-based optimization for performance enhancement of public departments. JJMIE, 4(3), 346-351.en_US
dc.identifier.issn1995-6665
dc.identifier.urihttps://edms.wexl.in/handle/1/2125
dc.language.isoenen_US
dc.subjectSimulationen_US
dc.subjectOptimizationen_US
dc.subjectKey Performance Indicatoren_US
dc.subjectPublic Departmentsen_US
dc.titleSimulation-based optimization for performance enhancement of public departmentsen_US
dc.title.alternativeJournal articleen_US
dc.typeArticleen_US

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