A comprehensive multi-objective mixed integer nonlinear programming model for an integrated elderly care service districting problem

• Published in: Annals of operations research Vol. 291; no. 1-2; pp. 499 - 529
• Main Authors: Lin, Meiyan, Chin, Kwai Sang, Ma, Lijun, Tsui, Kwok Leung
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.08.2020; Springer; Springer Nature B.V
• Subjects: Adult day care centers; Algorithms; Analysis; Business and Management; Classification; Combinatorics; Decision analysis; Elder care; Evolutionary algorithms; Genetic algorithms; Industrial locations; Integrated delivery systems; Logistics; Management; Management research; Mathematical models; Mathematical optimization; Mixed integer; Model testing; Multiple objective analysis; Nonlinear programming; Objectives; Older people; Operations research; Operations Research/Decision Theory; Parameters; S.I.: RealCaseOR; Sorting algorithms; Theory of Computation; Workload; Workloads; China; Care worker allocation problem; NSGA-II; Integrated elderly care; Integrated care service districting problem; Multi-objective optimization; Mixed-integer nonlinear programming

The integrated care service districting (ICSD) problem is an important logistics decision that the elderly care structures (ECS) face when designing service networks to deliver integrated care to the elderly. The ICSD problem, which aims to prepare enhanced care worker recruitment and training plans...