Scheduling and Rostering of Temporary Staff to Deal with Periodically Increasing Demand in Retail Sector: An Application

Year 2022, Volume: 35 Issue: 3, 1010 - 1020, 01.09.2022

Ahmet Cürebal Serkan Koçtepe Tamer Eren Emir Hüseyin Özder

https://doi.org/10.35378/gujs.871473

Cited By: 1

Abstract

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.

Keywords

Staff scheduling, Rostering, 0-1 Integer programming, Increasing demand, Staff competency

References

• [1] https://inkaparttime.com. Access date: 09.01.2021.
• [2] Asensio-Cuesta, S., Diego-Mas, J. A., Canós-Darós, L., and Andrés-Romano, C., “A Genetic Algorithm for The Design of Job Rotation Schedules Considering Ergonomic and Competence Criteria”, The International Journal of Advanced Manufacturing Technology, 60(9): 1161-1174, (2012).
• [3] Todovic, D., Makajic-Nikolic, D., Kostic-Stankovic, M., and Martic, M., ''Police Officer Scheduling Using Goal Programming'', Policing: An International Journal of Police Strategies and Management, 38: 295- 313, (2015).
• [4] Ünal, F. M., Eren, T., “The Solution of Shift Scheduling Problem by Using Goal Programming”, Academic Platform Journal of Engineering and Science, 4(1): 28-37, (2016). [5] Ciritoğlu, C., Akgün, S., Varlı, E., and Eren, T., “Shift Scheduling Problem a Solution Suggestion for Safety Officers in University of Kırıkkale”, International Journal of Engineering Research and Development, 9(2): 1-23, (2017).
• [6] Varlı, E., Eren, T., “Nurse Scheduling Problems and An Application in Hospital”, Academic Platform Journal of Engineering and Science, 5(1): 34-40, (2017).
• [7] Varlı, E., Ergişi, B., and Eren, T., “Nurse Scheduling Problem with Special Constraints: Goal Programming Approach”, Erciyes University Journal of Faculty of Economics and Administrative Sciences, 49(0): 189-206, (2017).
• [8] Özder, E.H., Varlı, E., and Eren, T., “A Model Suggestion for Cleaning Staff Scheduling Problem with Goal Programming Approach”, The Black Sea Journal of Sciences, 7(2): 114-127, (2017).
• [9] Bedir, N., Eren, T., and Dizdar, E.N., “Ergonomic Staff Scheduling and An Application in the Retail Sector”, Journal of Engineering Sciences and Design, 5(3): 657-674, (2017).
• [10] Özcan, E. C., Varlı, E., and Eren, T., “Scheduling Shift Staff in Hydroelectric Power Plants with Goal Programming Approach”, International Journal of Informatics Technologies, 10(4): 363-370, (2017). [11] Taş, M., Özlemiş, Ş. N., Hamurcu, M., and Eren, T., “Selection of Monorail Projects by Using Analytic Hierarchy Process and Goal Programming Combined Model”, Harran University Journal of Engineering, 2(2): 24-34, (2017).
• [12] Gür, Ş., Hamurcu, M., and Eren, T., “Selecting of Monorail Projects with Analytic Hierarchy Process and 0-1 Goal Programming Methods in Ankara”, Pamukkale University Journal of Engineering Sciences, 23(4): 437-443, (2017).
• [13] Varlı, E., Alağaş, H., Eren, T., and Özder, E., “Goal Programming Solution of the Examiner Assignment Problem”, Bilge International Journal of Science and Technology Research, 1(2): 105-118, (2017).
• [14] De Bruecker, P., Beliën, J., Van den Bergh, J., and Demeulemeester, E., “A Three-Stage Mixed Integer Programming Approach for Optimizing the Skill Mix and Training Schedules for Aircraft Maintenance”, European Journal of Operational Research, 267(2): 439-452, (2018).
• [15] Koçtepe, S., Bedir, N., Eren, T., and Gür, Ş., “Solution of Personnel Scheduling Problem for Organization Officers with 0-1 Integer Programming”, Journal of Economy Business and Management, 2(1): 25-46, (2018).
• [16] Yelek, A., Demirel, B., Alağaş, H. M., and Eren, T., “Part Time Staff Scheduling: Kırıkkale University Central Library Application”, Kırıkkale University Journal of Social Sciences, 8(2): 313-330, (2018).
• [17] Koçtepe, S., Alağaş, H. M., Gür, Ş., and Eren, T., “Scheduling of the Organization Personnel in the Basketball Comparison with 0-1 Integer Programming Method”, Başkent University Journal of Commercial Sciences, 3(2): 44-53, (2019).
• [18] Danışan, T., Özcan, E., and Eren, T., “A Hybrid Model Proposal for Maintenance Scheduling in Hydropower Plants”, Journal of the Faculty of Engineering and Architecture of Gazi University, 35(4): 1815-1828, (2020).
• [19] Cürebal, A., Koçtepe, S., and Eren, T., “The Solution of the Organization Company Monthly Personnel Assignment and Scheduling Problem during the COVID-19 Pandemic: An Application”, Journal of Turkish Operations Management, 4(2): 479-493, (2020).
• [20] Cürebal, A., Koçtepe, S., and Eren, T., “The Staff Scheduling Problem at the Promotion Festival: An Application”, Gazi Journal of Engineering Sciences, 6(3): 217-229, (2020).
• [21] Heimerl, C., Kolisch, R., “Scheduling and Staffing Multiple Projects with A Multi-Skilled Workforce”, OR Spectrum, 32(2): 343-368, (2010).
• [22] Bender, M., Kalcsics, J., Nickel, S., and Pouls, M., “A Branch-And-Price Algorithm for the Scheduling of Customer Visits in the Context of Multi-Period Service Territory Design”, European Journal of Operational Research, 269(1): 382-396, (2008).