Designing Market Thickness and Optimal Frequency of Multi-Period Stable Matching in Cloud-Based Design and Manufacturing

2018 ◽  
Author(s):  
J. D. Thekinen ◽  
Yupeng Han ◽  
Jitesh H. Panchal
Keyword(s):  
Service Providers ◽  
Arrival Rate ◽  
Fixed Number ◽  
Simulation Studies ◽  
Matching Markets ◽  
Optimal Frequency ◽  
Optimal Matching ◽  
Design And Manufacturing ◽  
Sensitivity Studies ◽  
Utility Distribution

A central issue in two-sided matching markets such as Cloud-Based Design and Manufacturing (CBDM) where agents interact over a long period of time is the design of optimal matching period during recursive implementation. Existing literature provides mechanisms that satisfy useful properties such as stability in a single matching cycle, but they lack studies on the effect of the period of matching cycle on the optimality. To address this gap, we perform simulation studies on a synthetic CBDM scenario where service seekers arrive as a Poisson process with a fixed number of service providers offering resources. We identify the optimal matching period and assess its robustness using sensitivity studies. Optimality is measured in terms of utility obtained by the agents, the number of matches and fairness of the utility distribution. We show that a matching period equal to the ratio of the number of service providers to the arrival rate of service seekers is optimal.

BlockChain Based Combinatorial Grouping Auction with Reserve Price Mechanism in Cloud Computing

2019 ◽  
Vol 12 ◽  
Author(s):  
Karthikeyan P ◽  
Jeyakrishnan V ◽  
Gopalakrishnan Thirumoorthy ◽  
Rajagopal R ◽  
Nagaraj B
Keyword(s):  
Banking Sector ◽  
Virtual Machines ◽  
Service Providers ◽  
Cloud Service ◽  
Experimental Result ◽  
Simulation Studies ◽  
Price Mechanism ◽  
Reserve Price ◽  
Total Revenue ◽  
Smart Contract

The blockchain is a growing decentralized scheme applied in many applications, such as an auction, smart contract, Helth, and banking sector. The cloud service providers can sell the resource to cloud consumers using an auction. The main challenging in the resource allocation using auction is to provide truthfulness to the users. In this paper, we propose a blockchain based combinatorial grouping auction with a reserve price mechanism (BCGAWRP). The proposed scheme maximizes the total revenue, resource utilization by assuring the truthfulness. We assess the proposed BCGAWRP performance by simulating the cloud environment. The experimental result shows that the proposed BCGAWRP algorithm maximize increase revenue than the traditional combinatorial auction algorithm. Moreover, simulation studies show that reserve price is useful and provides a mechanism to achieve the trade-off between the seller's and the buyer’s virtual machines.

scholarly journals Research on Wireless Sensor Actuator Distribution Algorithm Meeting Maximum Request Expectation

2017 ◽  
Vol 13 (04) ◽  
pp. 57
Author(s):  
Xuejun Jiang ◽  
Wenbo Zhang ◽  
Lincong Zhang ◽  
Xiaobo Tan
Keyword(s):  
Wireless Communication ◽  
Service Providers ◽  
Fixed Number ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Network Coverage ◽  
Optimal Position ◽  
Sensor Actuator ◽  
Theoretic Proof ◽  
Result Show

<strong>In wireless sensor actuator networks, actuator nodes are very important to network coverage for wireless sensor. So according to the characteristics that wireless communication is easy to be affected by the environment, in this wireless sensor actuator network the actuator nodes are abstracted to be service providers and the sensor nodes are abstracted to be service consumers. Furthermore, the messages transferred from actuator nodes to sensor nodes are abstracted to be service requests and the coverage of sensor nodes by actuator nodes is service providing. Moreover, the service faulty ratio of actuator nodes is defined in this paper. Based on that, an actuator node coverage algorithm that satisfies the maximum request expectation is put forwarded. Its goal is to solve the mathematical expectation of maximizing the number of service requests with fixed number of sensor nodes and actuator nodes. So the optimal position of actuator nodes could be identified. The theoretic proof and simulation result show that this algorithm is more efficient compared with similar algorithms</strong>

Search Among Queues Under Quality Differentiation

2019 ◽  
Vol 65 (8) ◽  
pp. 3605-3623 ◽  
Author(s):  
Luyi Yang ◽  
Laurens G. Debo ◽  
Varun Gupta
Keyword(s):  
Waiting Time ◽  
Operations Management ◽  
Service Providers ◽  
Mean Field ◽  
Search Behavior ◽  
Arrival Rate ◽  
Search Costs ◽  
Stopping Rules ◽  
Mean Field Model ◽  
Equilibrium Search

Customers looking for service providers often face search frictions and have to trade off quality and availability. To understand customers’ search behavior when they are confronted with a large collection of vertically differentiated, congested service providers, we build a model in which arriving customers conduct a costly sequential search to resolve uncertainty about service providers’ quality and queue length and select one to join by optimal stopping rules. Customers search, in part, because of variations in waiting time across service providers, which, in turn, is determined by the search behavior of customers. Thus, an equilibrium emerges. We characterize customers’ equilibrium search/join behavior in a mean field model as the number of service providers grows large. We find that reducing either the search cost or customer arrival rate may increase the average waiting time in the system as customers substitute toward high-quality service providers. Moreover, with lower search costs, the improved quality obtained by customers may not make up for the prolonged wait, therefore degrading the average search reward and, more importantly, decreasing customer welfare; when customers search, their welfare can even be lower than if they are not allowed to search at all. This paper was accepted by Gad Allon, operations management.

Managing service capacity with boundedly rational consumers under social interactions

Kybernetes ◽  
2019 ◽  
Vol 49 (3) ◽  
pp. 660-680
Author(s):  
Chengzhang Li ◽  
Minghui Jiang ◽  
Xuchuan Yuan
Keyword(s):  
Social Interactions ◽  
Dynamic Characteristics ◽  
Queue Length ◽  
Service Providers ◽  
Service System ◽  
Arrival Rate ◽  
Arrival Process ◽  
Service Capacity ◽  
Content Type ◽  
Demand Fluctuations

Purpose Consumers are inclined to join longer queues due to social interactions in service consumptions. This purchase behavior brings in operational challenges in terms of capacity planning, which affects consumers’ demand, leading to an unstable and fluctuated arrival process. This paper aims to investigate the dynamic characteristics of the arrival process of a service system with boundedly rational consumers whose purchase decisions are influenced by the queue length under social interactions. Design/methodology/approach Consumers’ bounded rationality is modeled based on the random utility theory. Due to social interactions, the equilibrium queue length and its interaction with the expected waiting time affect consumers’ value perception. The authors first analyze the optimal service capacity decision with or without considering the influence of social interactions in a static setting. They then focus on the dynamic characteristics of the arrival process by a one-dimensional dynamical model in terms of the arrival rate. Findings This paper finds that the service system can behave chaotic in terms of arrival rate dynamics under social interactions. The results highlight the dynamical complexity of a simple service system due to consumers’ behavioral factors and the influence of social interactions, which may be the critical drivers leading to fluctuated and uneven demand. Originality/value The findings demonstrate that due to consumers’ limited cognitive ability and the influence of social interactions, the demand to a service system can be stable, periodic or even chaotic in terms of the arrival process. This study provides an alternative explanation to the observed demand fluctuations in various service processes under the influence of social interactions, which is important for service providers to effectively manage service capacity to achieve a stable service process and improve operational efficiency.

Perceptions of a Collaborative Professional Learning Program: Seeing the “Bigger Picture”

2020 ◽  
Vol 5 (1) ◽  
pp. 290-303
Author(s):  
P. Charlie Buckley ◽  
Kimberly A. Murza ◽  
Tami Cassel
Keyword(s):  
Data Analysis ◽  
Professional Learning ◽  
Social Communication ◽  
Special Educators ◽  
Service Providers ◽  
Integrative Approach ◽  
Theory Approach ◽  
Learning Program ◽  
Speech Language Pathologists ◽  
Related Service

Purpose The purpose of this study was to explore the perceptions of special education practitioners (i.e., speech-language pathologists, special educators, para-educators, and other related service providers) on their role as communication partners after participation in the Social Communication and Engagement Triad (Buckley et al., 2015 ) yearlong professional learning program. Method A qualitative approach using interviews and purposeful sampling was used. A total of 22 participants who completed participation in either Year 1 or Year 2 of the program were interviewed. Participants were speech-language pathologists, special educators, para-educators, and other related service providers. Using a grounded theory approach (Glaser & Strauss, 1967 ) to data analysis, open, axial, and selective coding procedures were followed. Results Three themes emerged from the data analysis and included engagement as the goal, role as a communication partner, and importance of collaboration. Conclusions Findings supported the notion that educators see the value of an integrative approach to service delivery, supporting students' social communication and engagement across the school day but also recognizing the challenges they face in making this a reality.

Talking Across Cultures in Early Intervention: Finding Common Ground to Meet Children's Communication Needs

2009 ◽  
Vol 16 (3) ◽  
pp. 79-85 ◽  
Author(s):  
Elizabeth D. Peña ◽  
Christine Fiestas
Keyword(s):  
Early Intervention ◽  
Cultural Values ◽  
Common Ground ◽  
Service Providers ◽  
Cultural Orientation ◽  
Speech Language Pathology ◽  
Provider Perspectives ◽  
Language Pathology ◽  
Communication Needs ◽  
Caregiver Role

Abstract In this paper, we explore cultural values and expectations that might vary among different groups. Using the collectivist-individualist framework, we discuss differences in beliefs about the caregiver role in teaching and interacting with young children. Differences in these beliefs can lead to dissatisfaction with services on the part of caregivers and with frustration in service delivery on the part of service providers. We propose that variation in caregiver and service provider perspectives arise from cultural values, some of which are instilled through our own training as speech-language pathologists. Understanding where these differences in cultural orientation originate can help to bridge these differences. These can lead to positive adaptations in the ways that speech-language pathology services are provided within an early intervention setting that will contribute to effective intervention.

Systems of Oppression in Geriatric Clinical Service Delivery

2021 ◽  
pp. 1-3
Author(s):  
Diane L. Kendall
Keyword(s):  
Higher Education ◽  
Service Delivery ◽  
Clinical Setting ◽  
Service Providers ◽  
Hard Work ◽  
Clinical Service ◽  
Meaningful Change ◽  
Important Work ◽  
Speech Language Pathologists ◽  
Medical Institutions

Purpose The purpose of this article was to extend the concepts of systems of oppression in higher education to the clinical setting where communication and swallowing services are delivered to geriatric persons, and to begin a conversation as to how clinicians can disrupt oppression in their workplace. Conclusions As clinical service providers to geriatric persons, it is imperative to understand systems of oppression to affect meaningful change. As trained speech-language pathologists and audiologists, we hold power and privilege in the medical institutions in which we work and are therefore obligated to do the hard work. Suggestions offered in this article are only the start of this important work.

Practioner Reflection That Enhances Interprofessional Collaborative Practices for Serving Children Who Are Deaf/Hard-of-Hearing

2017 ◽  
Vol 2 (9) ◽  
pp. 3-9 ◽  
Author(s):  
Kristina M. Blaiser ◽  
Mary Ellen Nevins
Keyword(s):  
Young Children ◽  
Professional Practice ◽  
Hard Of Hearing ◽  
Service Providers ◽  
Interprofessional Collaboration ◽  
The Self ◽  
Self Awareness ◽  
Collaborative Practices ◽  
Interprofessional Teams ◽  
Client Care

Interprofessional collaboration is essential to maximize outcomes of young children who are Deaf or Hard-of-Hearing (DHH). Speech-language pathologists, audiologists, educators, developmental therapists, and parents need to work together to ensure the child's hearing technology is fit appropriately to maximize performance in the various communication settings the child encounters. However, although interprofessional collaboration is a key concept in communication sciences and disorders, there is often a disconnect between what is regarded as best professional practice and the self-work needed to put true collaboration into practice. This paper offers practical tools, processes, and suggestions for service providers related to the self-awareness that is often required (yet seldom acknowledged) to create interprofessional teams with the dispositions and behaviors that enhance patient/client care.

Benefits from Computerized Adaptive Testing as Seen in Simulation Studies

1999 ◽  
Vol 15 (2) ◽  
pp. 91-98 ◽  
Author(s):  
Lutz F. Hornke
Keyword(s):  
Measurement Error ◽  
Computerized Adaptive Testing ◽  
Test Procedure ◽  
Adaptive Testing ◽  
Parameter Estimates ◽  
Simulation Studies ◽  
Computerized Adaptive Test ◽  
Item Banks ◽  
Item Parameters ◽  
General Reliability

Summary: Item parameters for several hundreds of items were estimated based on empirical data from several thousands of subjects. The logistic one-parameter (1PL) and two-parameter (2PL) model estimates were evaluated. However, model fit showed that only a subset of items complied sufficiently, so that the remaining ones were assembled in well-fitting item banks. In several simulation studies 5000 simulated responses were generated in accordance with a computerized adaptive test procedure along with person parameters. A general reliability of .80 or a standard error of measurement of .44 was used as a stopping rule to end CAT testing. We also recorded how often each item was used by all simulees. Person-parameter estimates based on CAT correlated higher than .90 with true values simulated. For all 1PL fitting item banks most simulees used more than 20 items but less than 30 items to reach the pre-set level of measurement error. However, testing based on item banks that complied to the 2PL revealed that, on average, only 10 items were sufficient to end testing at the same measurement error level. Both clearly demonstrate the precision and economy of computerized adaptive testing. Empirical evaluations from everyday uses will show whether these trends will hold up in practice. If so, CAT will become possible and reasonable with some 150 well-calibrated 2PL items.

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