An integer programming model for hierarchical workforce scheduling problem

Seçkiner, Serap Ulusam; Gökçen, Hadi; Kurt, Mustafa

doi:10.1016/j.ejor.2006.10.030

Cited by 33 publications

(6 citation statements)

References 12 publications

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“…Varlı and Eren [1] Shift scheduling AHP, Goal Programming Sungur [2] Shift scheduling Fuzzy Integer Programming Varlı [3] Shift scheduling AHP, Goal Programming Ozcan et al [4] Shift scheduling Goal Programming Güngör [5] Personnel Scheduling Integer Programming Bard et al [6] Personnel Scheduling Integer programming Wong and Chun [7] Personnel Scheduling Constraint programming and Heuristic Method Azaiez and Al Sharif [8] Personnel Scheduling 0-1 Goal Programming Seçkiner et al [9] Shift scheduling Integer programming Castillo et al [10] Shift scheduling labor scheduling paradigm Olive [11] Shift scheduling Mathematical model Topaloglu [12] Shift scheduling Multiple objective programming Heimerl and Kolisch [13] Project scheduling Integer programming…”

Section: Author Type Methodsmentioning

confidence: 99%

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Shift Scheduling with the Goal Programming Method: A Case Study in the Glass Industry

2019

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Nowadays, resource utilization and management are very important for businesses. They try to make a profit by providing high levels of efficiency from available sources. Their labor force is one of these sources. Therefore, scheduling based on personnel satisfaction has become an important problem in recent years. In this study, a case study was carried out in a glass factory in Ankara which has 7 department and 80 personnel. The aim of the study is to provide better service by distributing personnel to shifts in a fair and balanced manner. Assignment points are different for the departments where the personnel will work. Every personnel member is assigned to the department as best as possible. A goal programming method was used, and the results were better than those obtained using other methods.

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Section: Author Type Methodsmentioning

confidence: 99%

“…It is also implemented over a six-month period. Seckiner et al [9] presented the hierarchical workforce scheduling problem with an integer programming model. When they compared the results between the current model and the solved model, they found that worker costs had been reduced.…”

Section: Literature Reviewmentioning

confidence: 99%

Shift Scheduling with the Goal Programming Method: A Case Study in the Glass Industry

2019

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“…Call center [74], [75], [76], [107], [79], [75], [23], [88], [23], [25] General [53], [55], [66], [71], [102], [103], [104], [105] [82], [83], [96], [50], [53], [55], [56], [60], [66], [67], [71], [72], [12], [27], [35], [40], [45] Health Care [99], [77], [78], [84], [85], [91], [93], [94], [95], [47], [48], [49], [51], [52], [54], [58], [59],…”

Section: Table 1: Flexibility and Skillsmentioning

confidence: 99%

A Two-Phase Approach for Solving the Multi-Skilled and Irregular Personnel scheduling Problem

Xue,

Bai,

Landa-Silva

et al. 2024

Preprint

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In the realm of personnel scheduling, where demand is subject to variability, the creation of a work schedule for irregular worker presents a significant challenge. This difficulty is amplified when the specific shift types are not predefined and when workers possess varying levels of availability and distinct skill sets. Additionally, due to legal and cost constraints, personal preferences, and fairness considerations, the scheduling problem becomes even more complex. The typical personnel scheduling process generally consists of two main stages: shift design and shift assignment. During the shift design stage, a scheduler designs a set of shifts and calculates the required number of workers to meet the demand. The shift assignment stage involves allocating workers to each individual shift, while satisfying various constraints to achieve certain objectives.The shift design and assignment stages can be approached as a single problem or solved as two separate problems. In this paper, a two-phase method is investigated, where the first phase is addressed by an integer programming approach, and the second phase is solved using a memetic approach. Real-world retail store scheduling instances are used to test and compare these methods. The solution time and quality suggest that the proposed methods can be effectively applied to solve the irregular scheduling problem commonly encountered in retail stores.

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“…This has motivated multiple researchers to develop models minimising these costs. Some of the costs are regular working time cost and overtime cost of internal resources and working time cost of hired external resources (Heimerl & Kolisch, 2010), costs related to different types of activities (Rong & Grunow, 2009), costs of hierarchical workers with different qualifications (Ulusam Seçkiner et al, 2007), fixed and variable costs regarding a minimum of hours worked by the employees (van der Veen et al, 2015).…”

Section: Lspmentioning

confidence: 99%

Multi-skilled workforce scheduling with training and welfare considerations

Peña,

Osorio,

Orejuela

et al. 2023

Engineering Management in Production and Services

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Flexibility in workforce scheduling in services is necessary to reduce the impact of demand uncertainty, absenteeism, and desertion while maintaining high service levels. This paper studies the workforce scheduling problem, including multiple skill accumulation, training, and welfare, as well as flexibility for employees and the company. All these elements are modelled and included in a mixed-integer linear programming (MILP) model that maximises their accumulated skill level. A real case study based on the scheduling of lab assistants to laboratory practices at a university in Colombia is used to generate numerical experiments. Different experiments were conducted, and the results show that the level of skill achieved is highly sensitive to the number of assistants and the number of allocations. The experiments also showed that, while keeping the same number of lab assistants, it is possible to include flexibility and welfare constraints. Finally, the proposed model can generate schedules that achieve high levels of skills and meet the different constraints of the model, including balance, accumulation, demand and welfare.

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An integer programming model for hierarchical workforce scheduling problem

Cited by 33 publications

References 12 publications

Shift Scheduling with the Goal Programming Method: A Case Study in the Glass Industry

Shift Scheduling with the Goal Programming Method: A Case Study in the Glass Industry

A Two-Phase Approach for Solving the Multi-Skilled and Irregular Personnel scheduling Problem

Multi-skilled workforce scheduling with training and welfare considerations

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