Track: Healthcare Systems
Abstract
Paper ID: 207
Reviewer 2 Comments:
Query 1: The subject of the study is very appealing and contributionary.The title chosen for the paper is appropriate. The literature references are not adequate. There are not any necessary descriptions for all figures and tables Conclusion does not bring out the main points of the paper. The research contribution is good, methods are complete and innovationary but the main problem is related to the way of presenting the results and conclusion. I suggest the authors to reconsider the designing of the poster and try to clarify the result and conclusion sections.
Response: Thanks to the esteemed reviewer for this valuable comment. We would like to bring to your kind notice that the required changes have been done to the design of the poster for a better understanding of our results.
We submitted this topic as a poster presentation, Please consider it as a poster.
Reviewer 4 Comments:
Query 1: This is poster instead of abstract of the paper. Author has to resend the abstract of the paper.
Response: Thanks to the esteemed reviewer for this valuable comment. We would like to bring to your notice that we submitted this topic as a poster presentation, please consider it as a poster.
A Social Network Based Optimisation Approach on Patient Admission Scheduling Problem
Venkat Anirudh Kodali
Production and Industrial Engineering
Vellore Institute of Technology
Vellore, Tamil Nadu 632014, India
L. Sai Prudhvi Siddhartha
Production and Industrial Engineering
Vellore Institute of Technology
Vellore, Tamil Nadu 632014, India
Kakarla Manoj
Production and Industrial Engineering
Vellore Institute of Technology
Vellore, Tamil Nadu 632014, India
Shaik Shama Zabeen
Production and Industrial Engineering
Vellore Institute of Technology
Vellore, Tamil Nadu 632014, India
Vijaya Kumar Manupati
School of Mechanical and Building Sciences
Vellore Institute of Technology
Vellore, Tamil Nadu 632014, India
Abstract
Due to pressing demand for quality of care and maximize the patient satisfaction, traditional scheduling may not cater the needs of patients accessibility by mitigating the patient tardiness and social effects. This paper addresses, patient appointment scheduling problem in a radiology department in Southern India, as a case study. Due to partial precedence constraints between different modalities, the problem is formulated as a static, multi-stage/multi-server system and a mixed integer linear programming model is proposed. A social network analysis (SNA) based approach is proposed to examine the relationship between identified modalities and their influence with different examination type is presented. An evolutionary algorithm based multi-objective non dominated sorting genetic algorithm (BBGA) is developed for solving the problem and response surface methodology is adopted to optimize the BBGA parameters. Based on empirical data collected from the radiology department, comparisons between the present condition of the department and the achieved results from proposed approach is performed through discrete event simulation model integrated with an evolutionary algorithm. The results indicate that the proposed approach have proved its effectiveness on the system performance by reducing the average total completion time of the system by 5% and 38% in patients waiting time.
Keywords
SNA, BBGA
Biography
Venkat Anirudh Kodali is currently pursuing B.Tech degree in the Department of Production and Industrial Engineering from Vellore Institute of Technology, Vellore. His current research interests include health care systems, simulation, optimization, supply chain management and manufacturing automation.
L.Sai Prudhvi Siddhartha is currently pursuing B.Tech degree in the Department of Production and Industrial Engineering from Vellore Institute of Technology, Vellore. His current research interests include health care systems, simulation, optimization, supply chain management and manufacturing automation.
Kakarla Manoj is currently pursuing B.Tech degree in the Department of Production and Industrial Engineering from Vellore Institute of Technology, Vellore. His current research interests include health care systems, simulation, optimization, supply chain management and manufacturing automation.
Shaik Shama Zabeen is currently pursuing B.Tech degree in the Department of Production and Industrial Engineering from Vellore Institute of Technology, Vellore. His current research interests include health care systems, simulation, optimization, supply chain management and manufacturing automation.
Dr. Vijay Kumar Manupati received the B-Tech degree in Department of mechanical engineering from Siddhardha Engineering College, and M-Tech in Department of Mechanical engineering with Industrial Engineering and Management as a specialization from National Institute of Technology Calicut. He received his PhD in Department of Industrial and Systems Engineering from Indian Institute of Technology Kharagpur. His current research interests belong include intelligent manufacturing systems, agent/multi-agent/mobile-agent systems for distributed control, simulation, integration of process planning and scheduling in manufacturing. He has published papers in International Journal of Production Research, Computers and Industrial Engineering, and International Journal of Advanced Manufacturing Technology, International Journal of Computer Integrated Manufacturing. He is a member in Institute of Industrial Engineers.