Thepparit Sinthamrongruk, K. Dahal, Jirawit Yanchinda
{"title":"Heuristic and fuzzy scheduling synergy with knowledge acquisition of resource selection system development for home healthcare service","authors":"Thepparit Sinthamrongruk, K. Dahal, Jirawit Yanchinda","doi":"10.1504/IJASM.2018.10015580","DOIUrl":null,"url":null,"abstract":"Home healthcare service provides daily medical services at patients' homes. The service aims to satisfy the patients' requirements which must be done by qualified staff visiting them at the right time. This paper proposes a new framework integrating the heuristic search and fuzzy logic with knowledge acquisition to develop reliable and effective decision to match qualified staff to offer the service with the minimum cost, under preference consideration and feasible time-slots. The framework is designed based on the hierarchical approach dividing the system into two layers: high and low level. The high level is responsible for retrieving information, such as patients' locations and operation cost while the lower level with fuzzy logic to estimate a set of the level of staff selection to create the service plan. Our empirical study of 40 medical tasks with eight carers shows that the framework has a potential to provide improved solutions than the original.","PeriodicalId":38028,"journal":{"name":"International Journal of Agile Systems and Management","volume":"11 1","pages":"247-269"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Agile Systems and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJASM.2018.10015580","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Multidisciplinary","Score":null,"Total":0}
引用次数: 5
Abstract
Home healthcare service provides daily medical services at patients' homes. The service aims to satisfy the patients' requirements which must be done by qualified staff visiting them at the right time. This paper proposes a new framework integrating the heuristic search and fuzzy logic with knowledge acquisition to develop reliable and effective decision to match qualified staff to offer the service with the minimum cost, under preference consideration and feasible time-slots. The framework is designed based on the hierarchical approach dividing the system into two layers: high and low level. The high level is responsible for retrieving information, such as patients' locations and operation cost while the lower level with fuzzy logic to estimate a set of the level of staff selection to create the service plan. Our empirical study of 40 medical tasks with eight carers shows that the framework has a potential to provide improved solutions than the original.
期刊介绍:
The objective of IJASM is to establish an effective channel of communication between academia, industry and persons concerned with the design and development of systems. Change is eternal and perpetual, irrespective of type of system. Systems created in the course of the advance of human civilization need to be functionally and operationally sustainable amid changes in technological, political, socio-economical, financial, cultural and other environmental challenges. IJASM aims to promote and harmonize knowledge developments in the emerging fields of agile systems research, sustainability and vulnerability analysis, risk assessments methodologies, complex systems science, e-organisation and e-supply chain management, with emphasis on the international dimension, particularly breaking cultural barriers, and on national contexts, globalisation and new business practices. As such, we aim to publish papers presenting new research, innovative theoretical approaches, changes in agile management paradigms, and action (both examples of successes and failures as long as there are important lessons to be learned) from leading scholars and practitioners. Papers generally fall into two broad categories: those grounded in theory and/or papers using scientific research methods (e.g., reports of original empirical studies, models, critical reviews of existing empirical research, theory pieces that clearly extend current thinking); and those focusing on innovative agile approaches that are based on well reasoned extensions of existing research, experiential knowledge, or exemplary cases (e.g., thought pieces, case studies, etc).