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المؤلفون: Majid Rafiee, Frank Werner, Vahid Kayvanfar, Pouria Khodabandeh
المصدر: International Journal of Environmental Research and Public Health
Volume 18
Issue 3
International Journal of Environmental Research and Public Health, Vol 18, Iss 900, p 900 (2021)مصطلحات موضوعية: 0209 industrial biotechnology, Computer science, Health, Toxicology and Mutagenesis, nurse downgrading, bi-objective optimization, home health care, 0211 other engineering and technologies, Scheduling (production processes), lcsh:Medicine, 02 engineering and technology, Field (computer science), Article, routing and scheduling, Scheduling (computing), 020901 industrial engineering & automation, Nursing, Home health, Health care, Vehicle routing problem, Bi objective, Humans, Cost aspects, 021103 operations research, Job shop scheduling, business.industry, Epsilon-constraint method, lcsh:R, Public Health, Environmental and Occupational Health, Models, Theoretical, Home Care Services, algebra_number_theory, Life expectancy, Costs and Cost Analysis, Routing (electronic design automation), business
الوصف: In recent years, the management of health systems is a main concern of governments and decision-makers. Home health care is one of the newest methods of providing services to patients in developed societies that can respond to the individual lifestyle of the modern age and the increase of life expectancy. The home health care routing and scheduling problem is a generalized version of the vehicle routing problem, which is extended to a complex problem by adding special features and constraints of health care problems. In this problem, there are multiple stakeholders, such as nurses, for which an increase in their satisfaction level is very important. In this study, a mathematical model is developed to expand traditional home health care routing and scheduling models to downgrading cost aspects by adding the objective of minimizing the difference between the actual and potential skills of the nurses. Downgrading can lead to nurse dissatisfaction. In addition, skillful nurses have higher salaries, and high-level services increase equipment costs and need more expensive training and nursing certificates. Therefore, downgrading can enforce huge hidden costs to the managers of a company. To solve the bi-objective model, an &epsilon
constraint-based approach is suggested, and the model applicability and its ability to solve the problem in various sizes are discussed. A sensitivity analysis on the Epsilon parameter is conducted to analyze the effect of this parameter on the problem. Finally, some managerial insights are presented to help the managers in this field, and some directions for future studies are mentioned as well.وصف الملف: application/pdf
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المؤلفون: Yan Sun, Maoxiang Lang, Danzhu Wang
المصدر: International Journal of Environmental Research and Public Health; Volume 13; Issue 8; Pages: 762
International Journal of Environmental Research and Public Healthمصطلحات موضوعية: Service (systems architecture), Schedule, Optimization problem, Operations research, Computer science, bi-objective optimization, Health, Toxicology and Mutagenesis, 0211 other engineering and technologies, linear reformulation, 02 engineering and technology, Article, Software, Hazardous waste, 0502 economics and business, 050210 logistics & transportation, 021103 operations research, business.industry, 05 social sciences, Public Health, Environmental and Occupational Health, Pareto principle, hazardous materials, Network planning and design, Routing (electronic design automation), multimodal routing, risk evaluation, business
الوصف: The transportation of hazardous materials is always accompanied by considerable risk that will impact public and environment security. As an efficient and reliable transportation organization, a multimodal service should participate in the transportation of hazardous materials. In this study, we focus on transporting hazardous materials through the multimodal service network and explore the hazardous materials multimodal routing problem from the operational level of network planning. To formulate this problem more practicably, minimizing the total generalized costs of transporting the hazardous materials and the social risk along the planned routes are set as the optimization objectives. Meanwhile, the following formulation characteristics will be comprehensively modelled: (1) specific customer demands; (2) multiple hazardous material flows; (3) capacitated schedule-based rail service and uncapacitated time-flexible road service; and (4) environmental risk constraint. A bi-objective mixed integer nonlinear programming model is first built to formulate the routing problem that combines the formulation characteristics above. Then linear reformations are developed to linearize and improve the initial model so that it can be effectively solved by exact solution algorithms on standard mathematical programming software. By utilizing the normalized weighted sum method, we can generate the Pareto solutions to the bi-objective optimization problem for a specific case. Finally, a large-scale empirical case study from the Beijing–Tianjin–Hebei Region in China is presented to demonstrate the feasibility of the proposed methods in dealing with the practical problem. Various scenarios are also discussed in the case study.
وصف الملف: application/pdf
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