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All Journal International Journal of Global Operations Research International Journal for Applied Information Management The Journal of System Engineering and Technological Innovation
Al-Matar, Najeeb
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Social Sciences

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Analysis of Some Communication-Related Queuing System Modeling and Performance Al-Matar, Najeeb
Journal of System Engineering and Technological Innovation Vol 2 No 02 (2023): Oktober 2023
Publisher : Faculty of Engineering, Wijaya Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38156/jisti.v2i02.51

Abstract

The paper presents research into the analysis of queuing systems in the context of communication, with the goal of creating precise models and evaluating their efficacy. The importance of queueing systems cannot be overstated in fields as disparate as telecommunications, computer networks, and the service sector. Analyzing how these systems function allows us to better allocate resources, boost performance, and provide a better experience for end users. The main goals are to create mathematical models that precisely capture the queuing behavior and to assess the effectiveness of these models in terms of metrics like queue length, waiting time, and system utilization. To do so, it is necessary to perform an extensive analysis of the relevant literature and theoretical frameworks. The properties of communication-related systems are examined, and many queuing models, including the M/M/1, M/M/c, and M/G/1, are modified accordingly. In addition, simulation methods are used to verify the accuracy of the suggested models and assess how they would fare in practical applications. The research yields useful information on the dynamics of queuing systems used in the field of communication. They show how changes to the arrival rate, service rate, and number of servers affect the system's most important performance indicators. Different scheduling policies, routing tactics, and resource allocation methodologies are also investigated to determine their impact on system performance.
Controlling Water Quality of a Firm's Hydropower Al-Matar, Najeeb; Tadj, Lotfi
International Journal of Global Operations Research Vol. 4 No. 2 (2023): International Journal of Global Operations Research (IJGOR), May 2023
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v4i2.217

Abstract

The problem considered in this paper concerns a manufacturing firm located at a lake. The firm uses the lake's water in its production process. However, the production process affects the quality of the water. The manufacturing firm will only survive if the natural resource it uses, namely water in this case, remains available for the long term. Sustainability can be achieved through green manufacturing practices. The problem is dynamic, and optimal control theory, namely model predictive control, is used to determine the optimal production rate and the optimal rate of expenditure for pollution control. A numerical example illustrates the results obtained. 
Optimizing Supply Chain Coordination through Cross-Functional Integration: A Dynamic Model Using Optimal Control Theory Al-Matar, Najeeb; AlMatar , Mufeed; Tadj, Lotfi
International Journal for Applied Information Management Vol. 3 No. 2 (2023): Regular Issue: July 2023
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v3i2.52

Abstract

This paper is concerned with the cross-functional coordination of certain internal and external processes in a supply chain to balance supply with customer demand. Activities need to be synchronized in order to avoid issues such as delays in delivery and unnecessary inventory of raw material or of finished products. This can be achieved by integrating the purchasing, logistics, and production processes together. We propose a dynamic model and employ optimal control theory to obtain the optimal raw material supply rate, the optimal transfer rate of the raw material for production, and the optimal production rate. Some managerial insights are obtained through numerical examples and sensitivity analyses. Among the insights gained is that the approach is well suited for medium to long range planning horizon, when raw material and end product deterioration are high, and when the initial gaps between the inventory levels and their respective goals are the smallest.
Co-Authors AlMatar , Mufeed Tadj, Lotfi