Large-scale medical examination scheduling technology based on intelligent optimization

Zhang, Jiawei; Xing, Lining

doi:10.1007/s10878-017-0246-6

Cited by 35 publications

(19 citation statements)

References 22 publications

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“…There were also a few other schemes used for solution representation in MPOS scheduling problem. Zhang et al (2019) used a two-level hierarchical scheme where the first level supplied the information about job routes and the second level specified the machine to be used for the corresponding job and in the corresponding stage given by the first level. Abdelmaguid et al (2014) used a disjunctive graph representation where every was represented by a separate node in the graph with a weight equal to .…”

Section: Proportionate Multiprocessor Open Shopmentioning

confidence: 99%

Solution Representation in Proportionate Multiprocessor Open Shop

Adak¹

2021

Journal of Intelligent Systems: Theory and Applications

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Proportionate multiprocessor open shop is considered in this study. It is a shop model where a set of jobs follow no predefined route to visit several stages with at least one having two or more parallel machines to carry out the same task. Proportionality means that processing times depend only on stages and are independent of jobs, hence is defined as stage-wise. The shop model has various application areas in industry but the literature on the field is still limited. In this study, a novel solution representation scheme is proposed for the proportionate multiprocessor open shop. The scheme is based on permutation of stages and encodes the cumulative number of job assignments to a stage. The proposed scheme is shown to generate higher quality random solutions compared to the common operation permutation representation for the shop model. The approach proposed in this study to design a solution representation for a scheduling problem is a new and favorable approach that takes into account the specific machine environment, job characteristics and objective function of the problem under consideration. This way of designing solution representation schemes would increase the solution quality or decrease the computational time required in solution algorithms for scheduling problems.

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Section: Proportionate Multiprocessor Open Shopmentioning

confidence: 99%

Solution Representation in Proportionate Multiprocessor Open Shop

Adak¹

2021

Journal of Intelligent Systems: Theory and Applications

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“…Some of fog computing features and characteristics are important to highlight here in this manuscript in order to understand the real scenarios that lead some of the flaws in the cloud environment. Preferably, these features of fog will reduce some of the limitations while accessing the cloud services and applications, and it is a convenient platform for autonomy and service experience efficiency 15–17 . Some of them are as below.…”

Section: Related Workmentioning

confidence: 99%

An improved foraging heuristic considering reduced fog latency

Wang

Luo

Xiong

2020

Int J Communication

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Summary Most often, in centralized distributed computing, users are getting impatient by experiencing the delays in loading the content of the web applications over the internet; it is usually caused by the poor latency management and is becoming a catastrophic situation in availing the services and applications of the centralized‐cloud computing; cloud being a distributed platform, its customers are facing the latencies issues at the various tiers of the cloud. Workloads distributions are occurring concurrently on various virtual cloud platforms. Latency‐oriented applications and services usually in cloud platform are running over various virtual machines and possess the high complexities while interacting and face the difficulties in the consolidations of the various applications containing heterogenetic workloads. In this paper, we study the fog computing and consider that it will be a feasible platform to get rid of the cloud high‐latency issues and to reduce the delay time and workflow across the network. The main purpose is to enhance the latency across the various nodes in a network. The factors like interference, availability, and interaction among various participating nodes with nearer VMware are of importance for reducing the latencies. Reduced latencies will enhance the quality of service parameters, resources, and services availability. Latency can be an important factor for the resource optimization issues in cloud computing. The comparisons with existing technologies greatly show that latency in fog is quite efficient than in the cloud paradigm.

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“…In principle, the purposes of ASPs can be divided into four categories: decreasing service costs, increasing patient satisfaction, reducing waiting time, improving fairness, and reducing costs in healthcare [ 9 ]. One of the central issues in healthcare is fairness, which is a primary concern when scheduling patients and doctors [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Appointment Scheduling Problem in Complexity Systems of the Healthcare Services: A Comprehensive Review

Ala

Chen

2022

Journal of Healthcare Engineering

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This paper provides a comprehensive review of Appointment Scheduling (AS) in healthcare service while we propose appointment scheduling problems and various applications and solution approaches in healthcare systems. For this purpose, more than 150 scientific papers are critically reviewed. The literature and the articles are categorized based on several problem specifications, i.e., the flow of patients, patient preferences, and random arrival time and service. Several methods have been proposed to shorten the patient waiting time resulting in the shortest idle times in healthcare centers. Among existing modeling such as simulation models, mathematical optimization techniques, Markov chain, and artificial intelligence are the most practical approaches to optimizing or improving patient satisfaction in healthcare centers. In this study, various criteria are selected for structuring the recent literature dealing with outpatient scheduling problems at the strategic, tactical, or operational levels. Based on the review papers, some new overviews, problem settings, and hybrid modeling approaches are highlighted.

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Large-scale medical examination scheduling technology based on intelligent optimization

Cited by 35 publications

References 22 publications

Solution Representation in Proportionate Multiprocessor Open Shop

Solution Representation in Proportionate Multiprocessor Open Shop

An improved foraging heuristic considering reduced fog latency

Appointment Scheduling Problem in Complexity Systems of the Healthcare Services: A Comprehensive Review

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