A Fuzzy Scheduling Approach for Medicine Supply in Hospital Management Information System with Uncertain Demand
International Journal of Intelligent Information Systems
Volume 5, Issue 6, December 2016, Pages: 94-103
Received: Oct. 23, 2016; Accepted: Nov. 7, 2016; Published: Dec. 29, 2016
Views 3072      Downloads 75
Ping Hu, College of Computer and Information Technology, China Three Gorges University, Yichang, China
Yufang Li, College of Economics and Management, China Three Gorges University, Yichang, China
Ximin Zhou, College of Computer and Information Technology, China Three Gorges University, Yichang, China
Zhengying Cai, College of Computer and Information Technology, China Three Gorges University, Yichang, China
Article Tools
Follow on us
Generally, it is very difficult to determine the medicine supply in hospital under uncertain environment. Here, the medical supply decision problem in uncertain environment is modeled as a fuzzy multi-objective linear programming model. First, the medicine supply in hospital management system is analyzed and the uncertainties in medicine supply are modeled as fuzzy numbers. Second, a fuzzy medicine scheduling is built to fit the uncertain demand and the solving steps are illustrated too. Third, a numerical example is presented to demonstrate the proposed model, and the compared results verify its effectiveness. Last, some important conclusions and future work are sum up at the end of the paper.
Fuzzy Scheduling, Medicine Supply, Hospital Decision, Uncertain Demand
To cite this article
Ping Hu, Yufang Li, Ximin Zhou, Zhengying Cai, A Fuzzy Scheduling Approach for Medicine Supply in Hospital Management Information System with Uncertain Demand, International Journal of Intelligent Information Systems. Vol. 5, No. 6, 2016, pp. 94-103. doi: 10.11648/j.ijiis.20160506.13
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Syrowatka, Ania; Kroemker, Doerthe; Meguerditchian, Ari N., Features of Computer-Based Decision Aids: Systematic Review, Thematic Synthesis, and Meta-Analyses, Journal Of Mecision Internet Research, 18, (2016).
Hsiao, Ju-Ling; Chen, Rai-Fu, Critical factors influencing physicians' intention to computerized clinical practice guidelines: an integrative model of activity theory and the technology acceptance model, BMC Medical Informatics And Decision Making, 16, (2014), 805-813.
Hung, Kuo-Chen; Wang, Pei-Kuang, An Integrated Intuitionistic Fuzzy Similarity Measures for Medical Problems, International Journal Of Computational Intelligence Systems, 7, (2014), 327-343.
Ofstad, Eirik H.; Frich, Jan C.; Schei, Edvin, Temporal characteristics of decisions in hospital encounters: A threshold for shared decision making? A qualitative study, Patient Education And Counseling, 97, (2014), 216-222.
Barasa, Edwine W.; Molyneux, Sassy; English, Mike, Setting healthcare priorities in hospitals: a review of empirical studies, Health Policy And Planning, 30, (2015), 386-396.
Ahmadi, Hossein; Nilashi, Mehrbakhsh; IbrahimFaculty, Othman, Organizational decision to adopt hospital information system: An empirical investigation in the case of Malaysian public hospitals, International Journal Of Medical Informatics, 84, (2015), 166-188.
Joseph, Joshua W.; Chiu, David T.; Nathanson, Larry A., A rules based algorithm to generate problem lists using emergency department medication reconciliation, International Journal Of Medical Informatics, 94, (2016), 117-122.
Rosales, Claudia R.; Magazine, Michael; Rao, Uday, The 2Bin system for controlling medical supplies at point-of-use, European Journal Of Operational Rsearch, 243, (2015), 271-280.
Santucci, W.; Day, R. O.; Baysari, M. T., Evaluation of hospital-wide computerised decision support in an intensive care unit: an observational study, Anaesthesla And Intensive Care, 44, (2016), 507-512.
Mijderwijk, Herjan; Stolker, Robert Jan; Duivenvoorden, Hugo J., Clinical prediction model to identify vulnerable patients in ambulatory surgery: towards optimal medical decision-making, Canadian Journal Of Anesthesla-Journal Canadien D Anesthesie, 63, (2016), 1022-1032.
Gulbrandsen, Pal; Dalby, Anne Marie Landmark; Ofstad, Eirik Hugaas, Confusion in and about shared decision making in hospital outpatient encounters, Patient Education And Counseling, 96, (2014), 287-294.
Sheppard, James P.; Mellor, Ruth M.; Greenfield, Sheila, The association between prehospital care and in-hospital treatment decisions in acute stroke: a cohort study, Emergency Medicne Journal, 32, (2015), 93-99.
Rachiotis, George; Kourousis, Christos; Kamilaraki, Maria, Medical Supplies Shortages and Burnout among Greek Health Care Workers during Economic Crisis: a Pilot Study, International Journal Of Medical Sciences, 11, (2014), 442-447.
Ruan, Junhu; Wang, Xuping; Shi, Yan, A Two-Stage Approach for Medical Supplies Intermodal Transportation in Large-Scale Disaster Responses, International Journal Of Environmental Reserach And Public Health, 11, (2014), 11081-11109.
Ruan, J. H.; Wang, X. P.; Chan, F. T. S., Optimizing the intermodal transportation of emergency medical supplies using balanced fuzzy clustering, International Journal Of Production Research, 54, (2016), 4368-4386.
Pishvaee, M. S.; Razmi, J.; Torabi, S. A., An accelerated Benders decomposition algorithm for sustainable supply chain network design under uncertainty: A case study of medical needle and syringe supply chain, Tarnsportation Research Part E-Logistics And Transportation Review, 67, (2014), 14-38.
Cresswell, Kathrin M.; Bates, David W.; Williams, Robin, Evaluation of medium-term consequences of implementing commercial computerized physician order entry and clinical decision support prescribing systems in two 'early adopter' hospitals, juornal Of The American Medical Informatics Association, 21, (2014), 194-202.
Huh, Kyungmin; Chung, Doo Ryeon; Park, Hyo Jung, Impact of monitoring surgical prophylactic antibiotics and a computerized decision support system on antimicrobial use and antimicrobial resistance, American Journal Of Infection Contral, 44, (2016), E145-E152.
Baysari, Melissa T.; Lehnbom, Elin C.; Li, Ling, The effectiveness of information technology to improve antimicrobial prescribing in hospitals: A systematic review and meta-analysis, International Juornal Of Medical Informaticas, 92, (2016), 15-34.
Arboe, Bente; Laub, Rasmus Rude; Kronborg, Gitte, Evaluation of the decision support system for antimicrobial treatment, TREAT, in an acute medical ward of a university hospital, International Juornal Of Infectious Diseases, 29, (2014), 156-161.
Chow, A. L.; Ang, A.; Chow, C. Z., Implementation hurdles of an interactive, integrated, point-of-care computerised decision support system for hospital antibiotic prescription, International Juornal Of Antimicrobial agents, 47, (2016), 132-139.
Barboni Miranda, Gisele Helena; Felipe, Joaquim Cezar, Computer-aided diagnosis system based on fuzzy logic for breast cancer categorization, Computers In Biology And Medicine, 64, (2015), 334-346.
Zaky, Saad; Makhlouf, Nahed A.; Abdel-Malek, Mohamed O., Multidisciplinary decision making in the management of hepatocellular carcinoma: A hospital-based study, Turkish Journal Of Gastroenterology, 26, (2015), 498-505.
Germini, Federico; Agnelli, Giancarlo; Fedele, Marta, Padua prediction score or clinical judgment for decision making on antithrombotic prophylaxis: a quasi-randomized controlled trial, BMC Medical Informatics And Decision Making, 15, (2015), 120-135.
Field, Larry C.; McEvoy, Matthew D.; Smalley, Jeremy C., Use of an electronic decision support tool improves management of simulated in-hospital cardiac arrest, Resuscitation, 85, (2014), 138-142.
Sorkin, Dara H.; Amin, Alpesh; Weimer, David L., Rationale and study protocol for the Nursing Home Compare Plus (NHCPlus) randomized controlled trial: A personalized decision aid for patients transitioning from the hospital to a skilled-nursing facility, Contemporary Clinical Trials, 47, (2016), 139-145.
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
Tel: (001)347-983-5186