A constructive heuristic for staff scheduling in the glass industry

Rocha, Marta; Oliveira, José Fernando; Carravilla, Maria Antónia

doi:10.1007/s10479-013-1525-y

Cited by 16 publications

(9 citation statements)

References 34 publications

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“…In the context of building "smart cities" and "smart tourism," with the call and promotion of artificial intelligence industry by governments and in line with the development of the times and technology, the planning, design, and construction industry of scenic spots, which is one of the core elements of the tourism industry, has first produced the concept of "digital scenic spots" [1]. e concept of "digital scenic spot" is to break through the bottleneck of "digital scenic spot" construction, so as to make better use of big data, mobile Internet, artificial intelligence, and other technical conditions [2].…”

Section: Introductionmentioning

confidence: 99%

The Promotion of Rural Lodging Development by a Comprehensive Evaluation Model of Artificial Intelligence Based on Wireless Network

2022

Mobile Information Systems

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Intelligent scenic planning and management attempt to take advantage of the discipline in the field of artificial intelligence, to explore new roles and models for planning and decision making with the help of machine learning in academic research and to build a complete scenic intelligent management system. Labour costs and energy costs account for a large share of the operating costs of B&Bs. In order to increase revenue while reducing costs and energy losses, this paper designs an unattended intelligent management system for B&Bs. Based on data mining technology, a large amount of B&B operation data is obtained using a crawler program to provide reference to assist B&B business owners in decision making; using wireless RFID technology, the RSSI value of the corresponding tag is read by a reader to detect changes in the location of the human body, making check-in and check-out management more efficient; the driving circuits of lighting, curtains, and air conditioners are controlled by an STM32 control module.

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Section: Introductionmentioning

confidence: 99%

The Promotion of Rural Lodging Development by a Comprehensive Evaluation Model of Artificial Intelligence Based on Wireless Network

2022

Mobile Information Systems

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“…Similarly, in the glass industry, Rocha et al ( 2014 ) offered a constructive heuristic approach for staff planning by comparing it with a Mixed Integer Programming (MILP) model. Computational times and solutions obtained for the problem were selected as performance indicators.…”

Section: Background and The Related Literaturementioning

confidence: 99%

Development of a new personalized staff-scheduling method with a work-life balance perspective: case of a hospital

Koruca

Emek

Gulmez³

2023

Ann Oper Res

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Burnout rates and dissatisfaction among healthcare workers remain high due to long working hours. One possible solution to this problem is to let them choose their weekly working hours and starting times in order to achieve a work-life balance. Moreover, a scheduling process that responds to changing healthcare demands at different times of the day should increase work efficiency in hospitals. In this study, a methodology and software were developed to schedule hospital personnel, taking into account their preferences regarding working hours and starting time. The software also allows the hospital management to determine the number of staff needed at different times of the day. Three methods and five working-time scenarios characterized by different divisions of working time are proposed to solve the scheduling problem. The Seniority score Priority assignment Method appoints personnel prioritizing seniority, whereas the newly developed Balanced and Fair assignment Method and Genetic Algorithm Method aim for a more nuanced distribution. The methods proposed were applied to physicians in the internal diseases department in a specific hospital. Weekly/monthly scheduling of all employees was carried out with the software. The results of scheduling factoring in work-life balance, and the performances of algorithms are shown for the hospital where the application was trialled.

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“…Local search techniques are applied to improve the initially constructed roster. Rocha et al (2014) discuss a constructive heuristic for rotational staff scheduling in the glass industry. Their approach finds a sequence of blocks that each comprise multiple work shifts.…”

Section: Solution Approaches For Shift Schedulingmentioning

confidence: 99%

A decomposition heuristic for rotational workforce scheduling

Becker

2020

J Sched

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In rotational workforce planning, a schedule is constructed from a sequence of work and rest periods. Each employee starts at a different part of the schedule, and after a certain amount of time, the schedule repeats. The length of the schedule increases with a higher number of employees. At the same time, various constraints on work sequences and days off have to be considered. For a large number of employees, it is difficult to construct a schedule that meets the requirements. It is important to ensure low solution times independently of the problem instance characteristics. In this work, a novel decomposition approach for rotational shift scheduling is proposed. The decomposition exploits the fact that most constraints in rotational workforce scheduling are imposed on the work shift sequence. By considering a fixed set of blocks to cover the demand, the problem complexity can be greatly reduced. Given a fixed set of blocks, we propose a network model that determines whether a feasible sequence of shift blocks exists. The decomposition approach is applied to the problem structure of the Rotating Workforce Scheduling Problem but may be extended to different problem structures. In a computational study, the decomposition approach is compared to a mathematical formulation and previous exact and heuristic approaches. Computational results show that the decomposition approach greatly outperforms previous heuristics on the standard benchmarks.

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A constructive heuristic for staff scheduling in the glass industry

Cited by 16 publications

References 34 publications

The Promotion of Rural Lodging Development by a Comprehensive Evaluation Model of Artificial Intelligence Based on Wireless Network

The Promotion of Rural Lodging Development by a Comprehensive Evaluation Model of Artificial Intelligence Based on Wireless Network

Development of a new personalized staff-scheduling method with a work-life balance perspective: case of a hospital

A decomposition heuristic for rotational workforce scheduling

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