Endüstri Mühendisliği (İngilizce) Bölümü Koleksiyonu

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Pareto‑optimal workforce scheduling with worker skills and preferences
(Springer, 2025-02) İşeri, Ali; Güner, Hatice; Güner, Ali Rıza; 135066
This paper addresses employee scheduling in service operations, considering various skill and skill levels and the fuctuating customer demand throughout the day and week. Employee shift and day-of preferences are also considered to enhance morale. We propose a two-stage integer programming model. In the frst stage, the model optimizes the number of employees required for each shift period, ensuring uniform distribution of overstafng to improve customer service. A Pareto frontier approach is applied between the two stages, ofering decision-makers a set of nondominated solutions that balance overstafng and understafng. The second stage uses the selected Pareto-optimal solution to assign shifts and day-ofs to employees, incorporating their skills, preferences, and fairness considerations. Our model implicitly includes shifts and breaks, reducing decision variables and computational time. Using real data from a dining restaurant chain, we validate the model’s efectiveness in enhancing customer service and reducing labor costs by 12.3% compared to manual scheduling. Furthermore, productivity and employee satisfaction improve by considering individual skills and preferences.