Operator assignment and routing problems in home health care services

Yalçındağ, Semih; Matta, Andrea; Şahin, Evren

doi:10.1109/coase.2012.6386478

Cited by 21 publications

(13 citation statements)

References 11 publications

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“…Few papers have investigated the multi-period HP assignment and routing problem with deterministic demand. Yalçındaüg et al (2012) propose a rolling-horizon, two-stage approach for the multi-period problem. The first stage uses a MILP to define patient-HP assignments while the second stage establishes the optimal tours for each each HP.…”

Section: Literature Review and Contributionmentioning

confidence: 99%

Dynamic Scheduling of Home Health Care Patients to Medical Providers

Ciré

Diamant

2018

SSRN Journal

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Section: Literature Review and Contributionmentioning

confidence: 99%

Dynamic Scheduling of Home Health Care Patients to Medical Providers

Ciré

Diamant

2018

SSRN Journal

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“…Constraint (2) guarantees that each customer is visited exactly once. Constraints (3)-(5) denote that every caregiver starts from the office, visits several customers, and returns to the office.…”

Section: B Notationsmentioning

confidence: 99%

“…Patients can stay at home and receive some different kinds of customized services. The goal of HHC is to reduce the number of patients in hospitals, to improve the quality of health care, and to minimize the cost of health care [2]. Due to economic factors, congestion of hospitals, preferences of patients, aging of population and so on, HHC has a significant development in developed countries, such as France, UK and US [1][3] [4].…”

Section: Introductionmentioning

confidence: 99%

Home health care crew scheduling and routing problem with stochastic service times

Yuan

Liu

Jiang

2014

2014 IEEE International Conference on Automation Science and Engineering (CASE)

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The home health care crew scheduling and routing problem with stochastic service times is studied in this paper. A stochastic programming model with recourse is constructed to describe the problem. The approximate formulation for the expected penalty for late arrival at a customer is obtained and analyzed. According to its features, the problem is transformed into a classical set partitioning problem (SPP) and an elementary shortest path problem with resource constraints (ESPPRC). The SPP is solved by the column generation algorithm, and the ESPPRC is solved by an effective label algorithm. To get integer feasible solutions, the column generation procedure is embedded within a branch and bound framework, which is also called branch and price approach. Its effectiveness is validated by the numerical experiment.

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“…Figure 1 shows the scope of the main decisions related to operations management over a hierarchical decision support approach, as proposed in Benzarti et al (2013) and Yalcindag et al (2011Yalcindag et al ( , 2012. Level 1 is related to the districting problem, i.e.…”

Section: Operations Management In Hc Servicesmentioning

confidence: 99%

A framework to evaluate the complexity of home care services

2013

Self Cite

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Purpose -The purpose of this paper is to assess the potential factors that may generate complexity in managing operations in home care (HC) organizations. Hence, a framework which might assist decision making regarding complexity-driven issues in HC organizations is developed. Design/methodology/approach -Based on a systems thinking view, a framework was developed identifying complexity factors in HC organizations. The paper is based on field research to explore the practical challenges of managing operations in HC structures. The authors additionally give a state of the art in many scientific domains; definition of complexity and its implications; complexity in health care; description of home care operations and their management. The literature review enlightens the lack of consensus on HC complexity and thus provides a broad view and a critical analysis of the underlying concepts. Findings -Proposal of a HC operations complexity model (and validation due to a practical application). Practical implications -The framework developed by the authors permits one to identify rapidly the existing complexity factors which may create potential damages regarding value creation and cost improvement in HC. Two kinds of HC complexity are identified: HC organization complexity and HC individual patients' therapeutical projects complexity. Complexity factors are grouped into five categories: factors related to size; factors related to variety; interdependence factors; factors related to uncertainties; and factors related to context. By identifying the factors, decision support systems and response plans may be more adapted to the potential existing short comings of operations. Originality/value -Based on authors' extensive knowledge of HC practices, as well as an international systematic review of literature, this paper contributes to a better characterization of factors inducing complexity in the HC context. To the best of the authors' knowledge, operations management literature lacks a general framework enabling a better identification and understanding of what makes HC operations specific. The paper presents an innovative way to analyze HC complexity using a systems thinking-based approach. In this sense, its contribution is very complementary to traditional operations management models.

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Operator assignment and routing problems in home health care services

Cited by 21 publications

References 11 publications

Dynamic Scheduling of Home Health Care Patients to Medical Providers

Dynamic Scheduling of Home Health Care Patients to Medical Providers

Home health care crew scheduling and routing problem with stochastic service times

A framework to evaluate the complexity of home care services

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