A Decision-Making Support System for Operational Coordination of Home Health Care Services

Zhang, Liwen; Lamine, Elyes; Fontanili, Franck; Derras, Mustapha; Pingaud, Hervé

doi:10.1109/aiccsa47632.2019.9035219

Cited by 2 publications

(1 citation statement)

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“…OPTIMIZER AND VISUALIZER BLPAD [27], the previous version of BLPAD.Core, included Simulated Annealing (SA) algorithm to generate an optimized solution. However, we lacked a reference to evaluate the quality of the solutions obtained at the end of BLPAD.…”

Section: Blpadcore: Hhcrsp Cases Generator Solutionsmentioning

confidence: 99%

BLPAD.Core: A Multi-Functions Optimizer Towards Daily Planning Generation in Home Health Care

Zhang

Lamine

Fontanili

et al. 2020

2020 IEEE/ACS 17th International Conference on Computer Systems and Applications (AICCSA)

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Today, a majority of the elderly want to live longer in autonomy and comfort. Since there is not enough space available in specialized institutions, Home Health Care Services (HHCS) constitute an important addition that reinforces the traditional system. With the increase in HHCS demands, the main challenge in this distributed system is the organization of care services in an HHC institution. This organizational problem is widely studied as a Home Health Care Scheduling and Routing Problem (HHCSRP) in the Operations Research (OR) community. Facing the diversity and complexity of demands, as done in OR, the formulated solution-oriented model aims at providing decision making support for the decision maker in HHC systems. This leads obstacles in the dataset / benchmark based experimental environment and critical analysis such as the degree of the optimality regarding generated solutions and the comprehensive visualization of solutions. In this paper, based on a systemic analysis of the existing benchmark and the solution approach for HHCSRP, a prototype named BLPAD.Core is introduced. It provides a full decision support system to the decision-maker in the HHC system. The functionality consists of an instance generation based on the real dataset, operational planning generation and solution visualization. This research highlights the scientific challenges and attempts to respond to the complicated expectations of HHC systems in a comprehensive manner.

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Section: Blpadcore: Hhcrsp Cases Generator Solutionsmentioning

confidence: 99%