Securing home health care in times of natural disasters

Trautsamwieser, Andrea; Gronalt, Manfred; Hirsch, Patrick

doi:10.1007/s00291-011-0253-4

Cited by 109 publications

(81 citation statements)

References 26 publications

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“…HHC routing and scheduling with a single mode of transport for each nurse, mostly separate cars, is predominantly considered in literature (e.g., Begur et al 1997;Chahed et al 2009;Trautsamwieser et al 2011;Rasmussen et al 2012;Cappanera and Scutellá 2015;Yalçındaǧ et al 2016) and is closely related to the vehicle routing problem with time windows (VRPTW). For details on the VRPTW, refer to Gendreau (2005a, (2005b) and Kallehauge et al (2005).…”

Section: Routing and Scheduling Of Hhc Servicesmentioning

confidence: 99%

“…The objective is to minimise travel times of nurses, which consists of drive and wait times. For a detailed description and a mathematical model of a daily HHC problem, refer to Trautsamwieser et al (2011). In this setting, each nurse operates a separate vehicles.…”

Section: Problem Descriptionmentioning

confidence: 99%

“…The procedure, summarised in Algorithm 1, stops after 1 min of run time. It was benchmarked with the mixed-integer problem formulation provided in Trautsamwieser et al (2011) and the solver software FICO Xpress 7.8. Therefore, test instances with 20 clients and four nurses were generated.…”

Section: Routing With Separate Carsmentioning

confidence: 99%

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Evaluation of trip and car sharing concepts for home health care services

Fikar

Hirsch

2016

Flex Serv Manuf J

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Routing and scheduling of home health care services usually focuses on the case where each nurse operates a separate vehicle. With increasing urbanisation, limited availability of parking spaces and stricter environmental regulations, service providers are starting to investigate car and trip sharing concepts as potential alternatives. This paper numerically investigates a car sharing concept as well as operating a transport system, which delivers and picks up nurses to and from clients combined with the additional option of walking. Different geographic distributions are investigated to identify beneficial settings for successful implementation considering various objectives of decision makers. The evaluation shows that trip sharing performs best if long service durations exist, long delays for parking occur and in areas where clients are both geographically distributed randomly and in clusters. Additionally, facilitating walking as well as trip or car sharing reduces the number of required vehicles substantially. Nevertheless, for walking and trip sharing, travel durations are prone to increase compared to classical planning approaches.

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Section: Routing and Scheduling Of Hhc Servicesmentioning

confidence: 99%

Section: Problem Descriptionmentioning

confidence: 99%

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Evaluation of trip and car sharing concepts for home health care services

Fikar

Hirsch

2016

Flex Serv Manuf J

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“…One has to decide whether to ar-range staff replacements (internally or externally) or to fit additional tasks into the routes of the available staff, and whether to postpone some less time-critical tasks to a later day. Weather conditions such as snowfalls, floods or storms, can be a source for the necessity of visit rescheduling [477].…”

Section: Online Operational Planningmentioning

confidence: 99%

“…The visit schedule is updated a few days in advance, the day in advance, and on the day of execution itself. Rescheduling is required to respond to unplanned events such as unplanned staff absenteeism, changed visit requirements due to changed patient health conditions, and incoming urgent care requests [28,168,169,477]. It involves integrally rescheduling care plans, staff rescheduling, and rerouting [28,168,169].…”

Section: Online Operational Planningmentioning

confidence: 99%

Integrated decision making in healthcare : an operations research and management science perspective

Hulshof¹

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A Branch-Price-and-Cut approach for solving the medium-term home health care planning problem

Trautsamwieser

Hirsch

2014

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The planning of home health care services is still done manually in many industrial countries. However, efficient decision support is necessary to improve the working plans and relieve the nurses from this time consuming task. The problem can be summarized as follows: clients need to be visited one or several times during the week by appropriately skilled nurses; their treatments have predefined time windows. Additionally, working time requirements for the nurses such as breaks, maximum working time per day, and daily as well as weekly rest times have to be considered. We propose a Branch-Price-and-Cut solution approach to solve this problem exactly, using the solutions of a variable neighborhood search solution approach as upper bounds. The algorithm is capable of solving to optimality real-life based test instances with up to nine nurses, 45 clients, and 203 visits during the week.

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Securing home health care in times of natural disasters

Cited by 109 publications

References 26 publications

Evaluation of trip and car sharing concepts for home health care services

Evaluation of trip and car sharing concepts for home health care services

Integrated decision making in healthcare : an operations research and management science perspective

A Branch-Price-and-Cut approach for solving the medium-term home health care planning problem

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