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Multi-agent Pareto appointment exchanging in hospital patient scheduling

Ivan Vermeulen, Sander Bohte, Koye Somefun, Han La Poutré
2007 Service Oriented Computing and Applications  
To efficiently solve this problem we develop a multi-agent Pareto-improvement appointment exchanging algorithm: MPAEX.  ...  We present a dynamic and distributed approach to the hospital patient scheduling problem, in which patients can have multiple appointments that have to be scheduled to different resources.  ...  Multi-agent pareto appointment exchanging To schedule the patient activities efficiently, we use a distributed approach where software agents interact with each other to exchange appointments where none  ... 
doi:10.1007/s11761-007-0012-1 fatcat:a76n6uxtdfhvla6566vdqqvjqq

Improving Patient Activity Schedules by Multi-agent Pareto Appointment Exchanging

I. Vermeulen, S. Bohte, K. Somefun, H. La Poutre
2006 The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06)  
We present a dynamic and distributed approach to the hospital patient scheduling problem: the multi-agent Pareto-improvement appointment exchanging algorithm, MPAEX.  ...  We present models of the hospital patient scheduling problem in terms of the "health care cycle" where a doctor repeatedly orders sets of activities (partial plans) to diagnose and/or treat a patient.  ...  Thus, we present a Multi-agent Pareto Appointment EXchanging algorithm: MPAEX. In the multi-agent system that we develop, patients are assigned an initial schedule for their required treatments.  ... 
doi:10.1109/cec-eee.2006.55 dblp:conf/wecwis/VermeulenBSP06 fatcat:o764oxyluveu5jtzvdbk7ygqqi

A Distributed Optimized Patient Scheduling using Partial Information

G Mageshwari
2012 International Journal of Artificial Intelligence & Applications  
In order to face this problem with dynamic changes in the hospital, a new method, Distributed Optimized Patient Scheduling with Grouping (DOPSG) has been proposed.  ...  Scheduling problem can be solved for multiple departments in the hospital.  ...  Multi-agent Pareto Appointment Exchanging (MPAEX) system is used to exchange appointment schedules such that no patient is worse off.  ... 
doi:10.5121/ijaia.2012.3307 fatcat:ullhp2e3bveyfd2ruqizhbyj6q

A Distributed Optimized Patient Scheduling using Partial Information [article]

G. Mageshwari, E. Grace Mary Kanaga
2012 arXiv   pre-print
In order to face this problem with dynamic changes in the hospital, a new method, Distributed Optimized Patient Scheduling with Grouping (DOPSG) has been proposed.  ...  Scheduling problem can be solved for multiple departments in the hospital.  ...  Multiagent Pareto Appointment Exchanging (MPAEX) system is used to exchange appointment schedules such that no patient is worse off.  ... 
arXiv:1206.1678v1 fatcat:hnkk7zwrqvhonhsndmq3spu44u

Multi-Agent Based Information Systems For Patient Coordination in Hospitals

Torsten O. Paulussen, Armin Heinzl, Christian Becker
2013 International Conference on Information Systems  
Thus, efficient scheduling of patients in hospitals is crucial.  ...  Agents are coordinated by a distributed mechanism where software agents improve their situation through negotiations which moves towards an overall Pareto optimum.  ...  Thus, patient scheduling in hospitals is concerned with the optimal assignment of patients to hospital resources.  ... 
dblp:conf/icis/PaulussenHB13 fatcat:2mcacsafnvb7tgxj3kwrnr6ynu

Negotiation-Based Patient Scheduling in Hospitals [chapter]

Lars Braubach, Alexander Pokahr, Winfried Lamersdorf
2013 Studies in Computational Intelligence  
In this respect, patient scheduling is an interesting parameter that determines on the one hand the length of the patients stay in the hospital and the eciency of the hospital resource allocation on the  ...  Thus, in this paper a decentralized agent based approach is presented that represents patients as well as hospital resources as agents with individual goals that negotiate to nd appropriate solutions.  ...  Introduction In hospitals, patient scheduling deals with the assignment of patients to the scarce and expensive hospital resources.  ... 
doi:10.1007/978-3-319-00467-9_10 fatcat:3pxazggtznayvnymw5raetohta

Distributed Constraint Optimization Problems and Applications: A Survey

Ferdinando Fioretto, Enrico Pontelli, William Yeoh
2018 The Journal of Artificial Intelligence Research  
The field of multi-agent system (MAS) is an active area of research within artificial intelligence, with an increasingly important impact in industrial and other real-world applications.  ...  In a MAS, autonomous agents interact to pursue personal interests and/or to achieve common objectives.  ...  The research in this paper has been partially supported by NSF grants 0947465, 1345232, 1401639, 1458595, and 1550662.  ... 
doi:10.1613/jair.5565 fatcat:zeou5gji5fas3h27ab4jxvtwkq

Operations research at CLAIO XVII (ALIO/SMIO Joint International Meeting)

Roger Z. Ríos-Mercado, José Luis González-Velarde, Manuel Laguna
2017 Annals of Operations Research  
These conferences have succeeded in achieving the goals of fostering the exchange of research among leading investigators, establishing and deepening ties between researchers and practitioners, and helping  ...  Traditionally, the CLAIO series of conferences have highlighted recent developments in theory, models, algorithms, and applications of operations research in the broadest sense.  ...  Acknowledgements We are very grateful to all those who collaborated on this project in one way or another.  ... 
doi:10.1007/s10479-017-2699-5 fatcat:t7732viaufa23mvxzq35xu4b2a

Improving Societal Outcomes in the Organ Donation Value Chain

Priyank Arora, Ravi Subramanian
2015 Social Science Research Network  
procedures take place, and QALY increments for organ recipients as compared to the hospitals other patients.  ...  The agents include a non-profit organ procurement organization (OPO) with a volume-of-care objective and a for-profit hospital (trauma center).  ...  Ram Subramanian (Emory University) for their collaboration on a National Institute of Health (NIH) proposal submitted in 2012 along with the second author.  ... 
doi:10.2139/ssrn.2602329 fatcat:34kqwuvzxzeudo5cnerisfrzse

A novel multi-agent scheduling mechanism for adaptation of production plans in case of supply chain disruptions

Jing Tan, Lars Braubach, Kai Jander, Rongjun Xu, Kai Chen
2020 AI Communications  
For that purpose an agent-based scheduling mechanism has been devised, in which agents represent materials and production sites and use local optimization techniques and negotiations to generate an adapted  ...  As a downside for delivering a near-optimal schedule, planning systems have high computational demands resulting in hours of computation.  ...  Both types of agents negotiate with each other for appointment and treatment times and can further optimize an initial schedule into a pareto-optimal solution by exchanging received slots.  ... 
doi:10.3233/aic-200646 fatcat:be4lwjq56nhi3n6bjzr7glkcw4

Experiments with planning and markets in multiagent systems

Naveenkumar Muguda, Peter R. Wurman, R. Michael Young
2004 ACM SIGecom Exchanges  
Users of multi-user environments with limited resources can be enabled with agents running on mobile devices as assistants to improve their ability to plan activities in the space.  ...  This paper discusses experiments to characterize the benefits of planning in such an environment, particularly when the resources can be reserved and the reservations traded in a market.  ...  We consider a prototypical multi-user model that is particularly well suited to describe closed environments like warehouses, hospitals, amusement parks, and museums [Kurumatani 2002; Prado and Wurman  ... 
doi:10.1145/1120694.1120699 fatcat:36vnkcbfbfgjjafum2zygbi22a

Operational research applied to decisions in home health care: A systematic literature review

Luca Grieco, Martin Utley, Sonya Crowe
2020 Journal of the Operational Research Society  
The 77 papers selected focused predominantly on solutions for staff-to-patient allocation, visit scheduling and staff routing, few of which were adopted by organisations.  ...  We also sampled OR literature applied to analogous decisions in other settings.  ...  We only extracted data from non-review article publication types. are taken as input and the allocation of staff to patients, appointment schedules and the routing of staff are decided in combination.  ... 
doi:10.1080/01605682.2020.1750311 fatcat:wy3i462zhjhrlhdwk3vhzpyi2i

A computational approach to patient flow logistics in hospitals [article]

Hutzschenreuter, AK (Anke), Poutré, JA (Han) La, Bertrand, JWM (Will), Bosman, PAN (Peter)
A computational approach to patient flow logistics in hospitals. Eindhoven: Technische Universiteit Eindhoven.  ...  In Vermeulen et al. [94] a coordination mechanism is presented for exchanging appointment slots in order to improve the patient's schedules in an outpatient setting.  ...  OR scheduling agent The task of the OR scheduling agent is to schedule surgical patients to OR time slots.  ... 
doi:10.6100/ir676044 fatcat:iskvj2o3wvfojd2mbf7xdfmjx4

Enclosing rail capacity/punctuality in accessibility measures: a two-step approach by using Data Envelopment Analysis and Analytic Hierarchy Process

Francesco Rotoli, Elena Navajas Cawood, Lorenzo Vannacci
2015 2015 International Conference on Industrial Engineering and Systems Management (IESM)  
, their schedules and the associated transportation itineraries for the forecast demand.  ...  It is also also a mean toward more efficient and sustainable supply chains and transportation networks, within the city as well as for long-haul intercity exchanges.  ...  Some studies published in the literature address emergency problems in hospital. Most of them focus on scheduling and assigning of patients [3] [7] [8] [10] [11] .  ... 
doi:10.1109/iesm.2015.7380133 fatcat:hbiqir2zo5bejlasdudkjzom2e

Inequity averse optimization in operational research

Özlem Karsu, Alec Morton
2015 European Journal of Operational Research  
There are many applications across a broad range of business problem domains in which equity is a concern and many well-known operational research (OR) problems such as knapsack, scheduling or assignment  ...  The second approach uses an explicit inequality index in the mathematical model.  ...  For appointment scheduling for clinical services Turkcan et al. (2011) introduce a model which includes equity related constraints in order to …nd uniform schedules for the patients assigned to di¤erent  ... 
doi:10.1016/j.ejor.2015.02.035 fatcat:b2a4grplwjd7jg46hlgq6wzs4a
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