A Fuzzy Scheduling Approach for Medicine Supply in Hospital Management Information System with Uncertain Demand

Ping Hu; Yufang Li; Ximin Zhou; Zhengying Cai

doi:doi:10.11648/j.ijiis.20160506.13

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A Fuzzy Scheduling Approach for Medicine Supply in Hospital Management Information System with Uncertain Demand

Ping Hu, Yufang Li, Ximin Zhou, Zhengying Cai

Published in International Journal of Intelligent Information Systems (Volume 5, Issue 6)

Received: 23 October 2016 Accepted: 7 November 2016 Published: 29 December 2016

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Abstract

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.

Published in	International Journal of Intelligent Information Systems (Volume 5, Issue 6)
DOI	10.11648/j.ijiis.20160506.13
Page(s)	94-103
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Fuzzy Scheduling, Medicine Supply, Hospital Decision, Uncertain Demand

References

[1]	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).
[2]	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.
[3]	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.
[4]	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.
[5]	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.
[6]	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.
[7]	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.
[8]	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.
[9]	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.
[10]	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.
[11]	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.
[12]	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.
[13]	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.
[14]	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.
[15]	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.
[16]	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.
[17]	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.
[18]	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.
[19]	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.
[20]	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.
[21]	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.
[22]	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.
[23]	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.
[24]	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.
[25]	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.
[26]	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.

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APA Style

Ping Hu, Yufang Li, Ximin Zhou, Zhengying Cai. (2016). A Fuzzy Scheduling Approach for Medicine Supply in Hospital Management Information System with Uncertain Demand. International Journal of Intelligent Information Systems, 5(6), 94-103. https://doi.org/10.11648/j.ijiis.20160506.13

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ACS Style

Ping Hu; Yufang Li; Ximin Zhou; Zhengying Cai. A Fuzzy Scheduling Approach for Medicine Supply in Hospital Management Information System with Uncertain Demand. Int. J. Intell. Inf. Syst. 2016, 5(6), 94-103. doi: 10.11648/j.ijiis.20160506.13

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AMA Style

Ping Hu, Yufang Li, Ximin Zhou, Zhengying Cai. A Fuzzy Scheduling Approach for Medicine Supply in Hospital Management Information System with Uncertain Demand. Int J Intell Inf Syst. 2016;5(6):94-103. doi: 10.11648/j.ijiis.20160506.13

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@article{10.11648/j.ijiis.20160506.13,
  author = {Ping Hu and Yufang Li and Ximin Zhou and Zhengying Cai},
  title = {A Fuzzy Scheduling Approach for Medicine Supply in Hospital Management Information System with Uncertain Demand},
  journal = {International Journal of Intelligent Information Systems},
  volume = {5},
  number = {6},
  pages = {94-103},
  doi = {10.11648/j.ijiis.20160506.13},
  url = {https://doi.org/10.11648/j.ijiis.20160506.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20160506.13},
  abstract = {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.},
 year = {2016}
}

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TY  - JOUR
T1  - A Fuzzy Scheduling Approach for Medicine Supply in Hospital Management Information System with Uncertain Demand
AU  - Ping Hu
AU  - Yufang Li
AU  - Ximin Zhou
AU  - Zhengying Cai
Y1  - 2016/12/29
PY  - 2016
N1  - https://doi.org/10.11648/j.ijiis.20160506.13
DO  - 10.11648/j.ijiis.20160506.13
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 94
EP  - 103
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20160506.13
AB  - 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.
VL  - 5
IS  - 6
ER  -

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Author Information

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

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Plain Text BibTeX RIS

APA Style

Ping Hu, Yufang Li, Ximin Zhou, Zhengying Cai. (2016). A Fuzzy Scheduling Approach for Medicine Supply in Hospital Management Information System with Uncertain Demand. International Journal of Intelligent Information Systems, 5(6), 94-103. https://doi.org/10.11648/j.ijiis.20160506.13

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ACS Style

Ping Hu; Yufang Li; Ximin Zhou; Zhengying Cai. A Fuzzy Scheduling Approach for Medicine Supply in Hospital Management Information System with Uncertain Demand. Int. J. Intell. Inf. Syst. 2016, 5(6), 94-103. doi: 10.11648/j.ijiis.20160506.13

Copy | Download

AMA Style

Ping Hu, Yufang Li, Ximin Zhou, Zhengying Cai. A Fuzzy Scheduling Approach for Medicine Supply in Hospital Management Information System with Uncertain Demand. Int J Intell Inf Syst. 2016;5(6):94-103. doi: 10.11648/j.ijiis.20160506.13

Copy | Download

@article{10.11648/j.ijiis.20160506.13,
  author = {Ping Hu and Yufang Li and Ximin Zhou and Zhengying Cai},
  title = {A Fuzzy Scheduling Approach for Medicine Supply in Hospital Management Information System with Uncertain Demand},
  journal = {International Journal of Intelligent Information Systems},
  volume = {5},
  number = {6},
  pages = {94-103},
  doi = {10.11648/j.ijiis.20160506.13},
  url = {https://doi.org/10.11648/j.ijiis.20160506.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20160506.13},
  abstract = {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.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - A Fuzzy Scheduling Approach for Medicine Supply in Hospital Management Information System with Uncertain Demand
AU  - Ping Hu
AU  - Yufang Li
AU  - Ximin Zhou
AU  - Zhengying Cai
Y1  - 2016/12/29
PY  - 2016
N1  - https://doi.org/10.11648/j.ijiis.20160506.13
DO  - 10.11648/j.ijiis.20160506.13
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 94
EP  - 103
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20160506.13
AB  - 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.
VL  - 5
IS  - 6
ER  -

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