Yazar "Ozder, Emir Huseyin" seçeneğine göre listele

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    Location and Capacity Planning of Freight Villages: The Case of Türkiye
    (Mehmet Akif Ersoy Univ, 2024) Gumus, Mehmet; Aydogmus, Hacer Yumurtaci; Ozder, Emir Huseyin
    Freight villages are logistics hubs where distribution and storage related activities meet. Determining their locations and capacities is a strategically important yet a difficult problem due to its complex structure. This paper provides a mixed integer linear programming model for identifying the locations, number, and capacities of freight villages. Objective is to set up a distribution network and minimize its total cost. The proposed model is computationally efficient as the optimal solution can be found within minutes. The model is applied using real life data in Turkey. The application includes major container ports as supply points and all cities as demand points, which are also alternative locations for freight villages. Optimal solution provides a plan and a budget to build the required capacity and number of logistics villages dispersed geographically. Sensitivity analysis is also conducted to investigate the system -wide costs and derive insights when there is a limit on the number of freight villages.
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    Scheduling and Rostering of Temporary Staff to Deal with Periodically Increasing Demand in Retail Sector: An Application
    (Gazi Univ, 2022) Curebal, Ahmet; Koctepe, Serkan; Eren, Tamer; Ozder, Emir Huseyin
    Temporary employment is a need to meet periodically increasing demand. It is arranged for a limited number of days and its service quality output is observed instantly. These make the planning phase complicated. In the process, the priority of businesses is to meet the increasing demand and to regulate the workload according to the terms of the period. Solving the periodic increase in demand by providing permanent employment can cause businesses to face the costs arising from excess employment in the long term. Generally, businesses manage these periods by hiring new staff. The most critical problems of the process are the suitability of the temporarily employed staff to work and whether they are suitable for the competencies in the job description. It is expected to achieve an efficiency equivalent to the cost to be incurred for this need that occurs in certain time periods. Adaptation processes, the effects of today's pandemic virus, and ergonomics issues owing to some tasks are the other basic constraints of this planning process. In this study, the problem of scheduling and rostering of staff requested for the problem of staff shortage owing to periodically increased demand has been solved. 50 candidate staff were evaluated in 4 competency types. Thus, an optimized service quality and staff costs has been achieved for this periodic staff need. For problem solving, 0-1 integer programming model was established and the proposed model, is written in ILOG CPLEX Studio IDE and is solved with the CPLEX solvent.
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    Shift scheduling solution with hybrid approach in a power plant
    (Elsevier, 2021) Ozder, Emir Huseyin; Alakas, Haci Mehmet; Ozcan, Evrencan; Eren, Tamer
    This study focuses on staff scheduling problems in a natural gas combined cycle power plants with demanding shift systems. Scheduling the personnel working in power plants to the most suitable shift program can be arduous in terms of energy supply security. Natural gas combined cycle power plants are labor units where an expensive resource such as labor is used intensively. The primary aim in these types of enterprises is to ensure maximum employee satisfaction with min-imum operating and labor costs. To meet this goal, companies must use various techniques. Shift scheduling models can also be considered as one of the useful tools in this respect. A constraint pro-gramming model has been developed for the shift scheduling problem. This model allows personnel to be assigned equally to shifts, minimizing the cost increase due to overtime. The proposed model satisfies the need for electricity generation in a big natural gas combined cycle power plant was operated in Turkey with real data has an acceptable calculation time to obtain the optimal solution. Staff scheduling model with the proposed improvements to the problem is provided close to 33% compared with the present situation. The calculation results show that the constraint programming model gives better results than the current schedule. The specificity of this study can be listed as follows: Firstly; the different model is presented in detail for the personnel scheduling problem, compared with the actual results and the results of the proposed model. Secondly, the personnel scheduling problem is modelled as a task-source match with the standard scheduling logic and mod-elled effectively with constraint programming. With the model, suitable solutions can be produced in a short time calculation period. (C) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University.
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    Solution for the Problem of Sustainable Staff Scheduling in Semi-Automated Dock Container Terminals in Ports
    (Sage Publications Inc, 2023) Ozder, Emir Huseyin; Gumus, Mehmet
    Port operations in container terminals are as important as container transportation itself. A port has a complex system in which a wide variety of operations take place, and a wide variety of resources are required to interact with each other. The aim of a port operator is to complete the service required in the shortest time and in the most efficient way. The quayside of the port, the equipment used such as cranes and field vehicles, and the operations officer and personnel are factors that directly affect the service provided at a port. The port management aims to maximize efficiency by reaching the maximum number of movements with the least possible cost. Increasing the efficiency and quality of the working personnel is extremely important in achieving this aim. This study provides efficient, fair, and balanced scheduling of field personnel and shift supervisors working in port operations using a real-life case of the semi-automated docks at an international port. A goal-programing model is constructed to manage the workforce needed by the port for a one-week working period and to assign the shift supervisors to the shifts in a balanced way. The personnel's preferences and qualifications, which directly affect productivity, are also considered while planning. Results show an increase in productivity, quality of life, concentration, and employee job satisfaction. The results of the suggested mathematical model in the study show that the demands of the workers facing conflicting constraints were met with the least deviation from goals.