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    Öğe
    Scheduling and Rostering of Temporary Staff to Deal with Periodically Increasing Demand in Retail Sector: An Application
    (2022) Cürebal, Ahmet; Koçtepe, Serkan; Eren, Tamer; Özder, Emir Hüseyin
    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.
  • [ X ]
    Öğe
    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.
  • [ X ]
    Öğe
    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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    Öğe
    Yükseköğretimde araştırmacı seçiminde çok ölçütlü karar verme yöntemlerinin kullanılması: Bir inceleme
    (Alanya Alaaddin Keykubat Üniversitesi, 2019) Özder, Emir; Bedir, Neşet; Eren, Tamer
    Bu çalışmada, Türkiye'deki bir yüksek öğretim kurumundaki endüstri mühendisliği bölümü için araştırma projesinde yer alacak uygun araştırmacı seçimi yapılmıştır. Günümüzde, kişisel eğitim alma konusundaki önem artmıştır. Ayrıca, lisans eğitimindeki bilgilerin temelleri, lisansüstü eğitiminde araştırmacı olabilmek adına önemlidir. Eğitimli kişilerin şirketlerdeki varlığı, şirketlerin karar verme aşamalarında daha etkili sonuçlar elde etmesini sağlamaktadır. Bireylerin kişisel gelişim süreci, şirketler arası rekabet nedeniyle şirketin imajını ve marka değerini doğrudan etkiler. Sorununun çözümünde Analitik Hiyerarşi Prosesi (AHP) ve PROMETHEE yöntemleri kullanılmaktadır. AHP yöntemi ile kriterler ağırlıklandırılmıştır. PROMETHEE yöntemi ile 15 aday arasında sıralama yapılmıştır. Kriterlerin ağırlıklandırma sonuçlarında ALES puan %24’lük bir değer ile ön plana çıkmaktadır. Adaylar arasında ise bu kriter ağırlıklarına göre 14 numaralı aday ilk sırada çıkmıştır.