Healthcare service configuration based on project scheduling. (January 2020)

• Record Type: Journal Article
• Authors: Zhang, Xiaojin; Ma, Shuang; Chen, Songlin
• Is Part Of: Advanced engineering informatics. Volume 43(2020)
• Publication Date: 2020-01
• Subjects: Healthcare service configuration -- Project scheduling -- Bi-level genetic algorithm; Computer-aided engineering -- Periodicals; Engineering -- Data processing -- Periodicals; 620.00285
• DOI: 10.1016/j.aei.2020.101039
• Languages: English
• ISSNs: 1474-0346

Abstract

Abstract: Configuration has been recognized as an effective methodology to provide high product variety that caters to individual customer's needs in the manufacturing industry. For healthcare service configuration, this decision-making process can be taken as service package creation and treated analogously as a project, which is defined as a collection of tasks. This research develops a decision support model to integrate individual patients into the healthcare service configuration process. The healthcare service configuration is formulated as a Resource Constrained Project Scheduling Problem (RCPSP), and a bi-level optimization algorithm based on Genetic Algorithm (GA) is developed for problem solving. The methodology and algorithm are implemented with a case study based on the data obtained from a general hospital in Singapore, which has demonstrated the applicability of healthcare service configuration.