Developing work schedules for an inter-city transit system with multiple driver types and fleet types

Sustainable Personnel Scheduling Problem Optimization in a Natural Gas Combined-Cycle Power Plant

“…Blöchliger [1] Classification General Ernst et al [2] Review General Jorne et al [3] Review General Eitzen et al [10] Heuristic Method Energy Sector Lilly et al [11] Heuristic Method Energy Sector Yaoyuenyong and Nanthavani [12] Heuristic Method Energy Sector Bergh et al [3] Classification General Bard et al [13] Integer Programming Service Sector Corominas et al [14] Mixed Integer Programming Service Sector Azaies and Al-Sharif [15] 0-1 GP Health Sector Güneş et al [16] Genetic Algorithm Military Sector Yunes et al [17] Heuristic Method Transportation Sector Topaloglu [18] Multi-Objective Programming Health Sector Trilling et al [19] Integer Linear Programming Health Sector Lezaun et al [20] Integer Programming Transportation Sector Chu [21] GP Service Sector Lezaun et al [22] Binary Programming Service Sector Corominas et al [23] Mixed Integer Linear Programming Service Sector Thompson and Pullman [24] Integer Programming Service Sector Sinreich and Jabali [25] Heuristic Method Health Sector Horn et al [26] Heuristic Method Military Sector Çetin et al [27] Integer Programming Airline Sector Sungur [28] Mixed Integer Programming Service Sector De Matta and Peters [29] Integer Programming Transportation Sector Tsai and Li [30] Genetic Algorithm Health Sector Lezaun et al [31] Binary Programming Railway Sector Rönnberg and Larsson [32] Integer Linear Programming Health Sector Zolfaghari et al [33] Genetic Algorithm Retail Sector Fırat and Hurkens [34] Mixed Integer Programming Production Sector Bag et al [35] GP Health Sector Hung-Tso et al [36] GP Service Sector Li et al [37] GP, Heuristic Method Health Sector Bektur and Hasgül [38] GP Service Sector Kassa and Tiz...…”

Enhanced genetic algorithms for a bi‐objective bus driver rostering problem: a computational study

“…More recently, Cappanera and Gallo () dealt with rostering in an airline company by using a multi‐commodity flow network model. Few covering/partitioning formulations are found in the literature (Catanas and Paixão, ; Freling et al., ; de Matta and Peters, ). All these transport domain references proposed single objective optimization methods for the problems or, when dealing with multi‐objective problems, they do not explicitly take into account the multi‐objective nature of rostering in their solution approaches.…”

Workforce planning incorporating skills: State of the art

“…In an environment with categorical skills, people with different skills can do different tasks, but there is no performance difference between two employees with different skills. When the workforce is cross-trained, people can perform different tasks that differ from their normal (or core) tasks which can lead to a decrease in performance [47,88]. Corominas et al [43] even assume different efficiencies for each worker for each different task.…”