Multi-skilling in scheduling problems - A review on models, methods and applications
17 thg 9, 2024 | 14:34

Multi-skilling in scheduling problems - A review on models, methods and applications



Multi-skilling provides an organization with the ability to arrange its workers to meet the certain needs for several skills. This paper reviews the literature on scheduling problems under the multi-skilled and flexible resources which is the case for a wide range of disciplines including construction industry, IT projects, healthcare, process systems, and so on. The main purpose of this review is that it helps researchers and scholars entering the multi-skilling experience an all-encompassing overview of existing models and methods and to identify new research directions. To structure the emerging literature in this area, we review and classify 160 articles published from 2000 to middle 2020 based on characteristics of the objective functions, the mathematical formulations, the solving methodologies, and the potential applications. This review outsets with a general framework for multi-skilling and accomplishes a comprehensive taxonomy for the literature of multi-skilling in scheduling problems. 

The results show that the main focus of the existing research in this field has been devoted to project scheduling problems (53.12%), mixed integer programming models (54.2%) and metaheuristics (28.7%) as solving method, cost (39.4%) as single objective function (68.6%), and deterministic environment for parameters (85.5%) on the top. It also turned out that 68.8% of research considered a single objective, whereas 13.8% and 17.6% of the research papers have developed models with two and more objectives, respectively. With the goal of providing a vivid roadmap for researchers, through meta-narrative analysis of the collected papers and a rigorous analysis, promising future lines of research are outlined.









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Multi-skilling provides an organization with the ability to arrange its workers to meet the certain needs for several skills. This paper reviews the literature on scheduling problems under the multi-skilled and flexible resources which is the case for a wide range of disciplines including construction industry, IT projects, healthcare, process systems, and so on. The main purpose of this review is that it helps researchers and scholars entering the multi-skilling experience an all-encompassing overview of existing models and methods and to identify new research directions. To structure the emerging literature in this area, we review and classify 160 articles published from 2000 to middle 2020 based on characteristics of the objective functions, the mathematical formulations, the solving methodologies, and the potential applications. This review outsets with a general framework for multi-skilling and accomplishes a comprehensive taxonomy for the literature of multi-skilling in scheduling problems. 

The results show that the main focus of the existing research in this field has been devoted to project scheduling problems (53.12%), mixed integer programming models (54.2%) and metaheuristics (28.7%) as solving method, cost (39.4%) as single objective function (68.6%), and deterministic environment for parameters (85.5%) on the top. It also turned out that 68.8% of research considered a single objective, whereas 13.8% and 17.6% of the research papers have developed models with two and more objectives, respectively. With the goal of providing a vivid roadmap for researchers, through meta-narrative analysis of the collected papers and a rigorous analysis, promising future lines of research are outlined.









LINK DOWNLOAD (TÀI LIỆU VIP MEMBER)

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