Loading...
Search for:
service-selection
0.012 seconds
A Service Selection Model for Mutual Logistic and Operation Service Matching in Cloud Manufacturing System Considering Variety in Product Types
, M.Sc. Thesis Sharif University of Technology ; Fatahi Valilai, Omid (Supervisor)
Abstract
Nowadays, global competition has challenged old manufacturing concepts for surviving in today's highly competitive industrial market. Moreover, rapid development of Information Technology advantages and their application in manufacturing systems have led to the emergence of Advanced Manufacturing Systems (AMSs). Hence, using the AMSs, can help manufacturing enterprises to survive in the current competitive environment. Cloud manufacturing is one of the most advanced manufacturing system paradigms that has attracted a wide range of researchers and companies’ attention in recent years. Cloud Manufacturing aims to provide easy and on demand access to the shared pool of manufacturing resources...
Cloud manufacturing service selection optimization and scheduling with transportation considerations: mixed-integer programming models
, Article International Journal of Advanced Manufacturing Technology ; 2017 , Pages 1-28 ; 02683768 (ISSN) ; Houshmand, M ; Van Woensel, T ; Mutlu, N ; Sharif University of Technology
Abstract
Cloud manufacturing is an emerging service-oriented manufacturing paradigm that integrates and manages distributed manufacturing resources through which complex manufacturing demands with a high degree of customization can be fulfilled. The process of service selection optimization and scheduling (SSOS) is an important issue for practical implementation of cloud manufacturing. In this paper, we propose new mixed-integer programming (MIP) models for solving the SSOS problem with basic composition structures (i.e., sequential, parallel, loop, and selective). Through incorporation of the proposed MIP models, the SSOS with a mixed composition structure can be tackled. As transportation is...
Cloud manufacturing service selection optimization and scheduling with transportation considerations: mixed-integer programming models
, Article International Journal of Advanced Manufacturing Technology ; Volume 95, Issue 1-4 , 2018 , Pages 43-70 ; 02683768 (ISSN) ; Houshmand, M ; van Woensel, T ; Mutlu, N ; Sharif University of Technology
Springer London
2018
Abstract
Cloud manufacturing is an emerging service-oriented manufacturing paradigm that integrates and manages distributed manufacturing resources through which complex manufacturing demands with a high degree of customization can be fulfilled. The process of service selection optimization and scheduling (SSOS) is an important issue for practical implementation of cloud manufacturing. In this paper, we propose new mixed-integer programming (MIP) models for solving the SSOS problem with basic composition structures (i.e., sequential, parallel, loop, and selective). Through incorporation of the proposed MIP models, the SSOS with a mixed composition structure can be tackled. As transportation is...
Simulation-based Service Allocation in Cloud Manufacturing Environments for a Specific Product Type Considering Focusing on Uncertainty in Services' Supply Demand
, M.Sc. Thesis Sharif University of Technology ; Fatahi Valilai, Omid (Supervisor)
Abstract
Nowadays, both academic and industrial environment have come to the conclusion that recent manufacturing paradigms are probably no longer applicable to the ever-changing today’s business environments. That is why manufacturing is moving gradually from production-oriented to service-oriented approaches. Service-oriented manufacturing results in a variety of services through a product life cycle which create an abundance of high value-added markets promoting efficient collaboration and amazing innovation. Cloud Manufacturing as an intelligent newly developed service-oriented manufacturing paradigm provides platforms of shared and interconnected distributed manufacturing resources and...
Network and Application-aware Cloud Service Selection
, M.Sc. Thesis Sharif University of Technology ; Movaghar Rahimabadi, Ali (Supervisor)
Abstract
Today's, organizations tend to use cloud services to increase efficiency and reduce IT costs. At the other hand, the growth in diversity of cloud services in aspects of virtual machines cost, technical specifications and locations intricate the process of suitable cloud service selection. In addition to satisfying user requests' requirements, the chosen service must reduce the IT costs. Because of this service diversity and efficiency increase, software modules can be placed in different data centers. And considering this distributivity adds to selection complexity. However, only small amounts of researches have considered communications costs and only have considered qualitative values. As...
A Multi-Product Scheduling Model Focusing on Logistic Service Sharing in Cloud Manufacturing Systems
, M.Sc. Thesis Sharif University of Technology ; Fatahi Valilai, Omid (Supervisor)
Abstract
Cloud computing is a service-driven business model that connects distributed resources and allows multiple service demaders to submit requests simultaneously to a cloud platform via the Internet. An important issue in cloud environments is how to allocate tasks to optimize the performance of a cloud manufacturing system. Allocation of tasks in cloud manufacturing refers to the process of selecting and assigning service providers to manufacturing resources such as design, engineering, machining, testing, and packing to achieve the satisfaction level in terms of time, cost, service availability, and other quality service criteria. Task allocation is an intrinsic part of the cloud manufacturing...
A Service Composition Model Considering Shared Logistic Costs Using a Capacity-Based Sharing Cost Structure in Cloud Manufacturing Systems
, M.Sc. Thesis Sharif University of Technology ; Hoshmand, Mahmoud (Supervisor) ; Fatahi Valilai, Omid (Supervisor)
Abstract
With the rapid growth of technology in recent decades, a revolution has been started, known as Industry 4.0, in current manufacturing systems. In this revolution, cloud manufacturing systems play an important role. Cloud manufacturing is a new service-driven business model developed from existing advanced manufacturing models with the aid of innovative technologies, such as cloud computing, virtualization, Internet of Things (IoT), service-oriented technologies, semantic web, and so forth. This manufacturing paradigm allows service providers to share their manufacturing resources in a cloud platform, converts these distributed manufacturing resources into manufacturing services, and arranges...
An imperialist competitive algorithm for service composition and optimal selection in cloud manufacturing
, Article 5th International Symposium on Computational and Business Intelligence, ISCBI 2017, 11 August 2017 through 14 August 2017 ; 2017 , Pages 129-133 ; 9781538617717 (ISBN) ; Houshmand, M ; Kerdegari, A ; Sharif University of Technology
Abstract
Cloud manufacturing is an emerging service-oriented manufacturing paradigm that integrates and manages distributed manufacturing resources through which complex manufacturing demands with a high degree of customization can be fulfilled. The process of Service Composition and Optimal Selection (SCOS) is an important issue for practical implementation of cloud manufacturing. In this paper, a new Mixed Integer Programming (MIP) model for solving the SCOS with transportation consideration has been proposed. This model minimizes both manufacturing and transportation costs subject to some constraints such as necessity of transportation between manufacturing resources and the requirements specified...
Network and application-aware cloud service selection in peer-assisted environments
, Article IEEE Transactions on Cloud Computing ; Volume 9, Issue 1 , 2021 , Pages 258-271 ; 21687161 (ISSN) ; Malekimajd, M ; Movaghar, A ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2021
Abstract
There are a vast number of cloud service providers, which offer virtual machines (VMs) with different configurations. From the companies perspective, an appropriate selection of VMs is an important issue, as the proper service selection leads to improved productivity, higher efficiency, and lower cost. An effective service selection cannot be done without a systematic approach due to the modularity of requests, the conflicts between requirements, and the impact of network parameters. In this paper, we introduce an innovative framework, called PCA, to solve service selection problem in the hybrid environment of peer-assisted, public, and private clouds. PCA detects the conflicts between the...
Application of social harmony search algorithm on composite web service selection based on quality attributes
, Article Proceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012 ; 2012 , Pages 526-529 ; 9780769547633 (ISBN) ; Habibi, J ; Varaee, T ; Sharif University of Technology
2012
Abstract
The harmony search algorithm is one of the latest meta-heuristic algorithms. It benefits from a number of distinguishing features such as a simple concept, few parameters and easy implementation. Combination of web services for inter-enterprise interactions and creation of a composite service which meets users requirements are novel subjects for researches on service oriented systems and process of selecting the best quality based combination is a debatable challenge at this field. In this study an efficient service selection mechanism based on the social harmony search algorithm is proposed to help clients select services with considering the quality attributes. In order to demonstrate the...
Network and application-aware cloud service selection in peer-assisted environments
, Article IEEE Transactions on Cloud Computing ; 2018 ; 21687161 (ISSN) ; Malekimajd, M ; Movaghar, A ; Sharif University of Technology
Abstract
There are a vast number of cloud service providers, which offer virtual machines (VMs) with different configurations. From the companies perspective, an appropriate selection of VMs is an important issue, as the proper service selection leads to improved productivity, higher efficiency, and lower cost. An effective service selection cannot be done without a systematic approach due to the modularity of requests, the conflicts between requirements, and the impact of network parameters. In this paper, we introduce an innovative framework, called PCA, to solve service selection problem in the hybrid environment of peer-assisted, public, and private clouds. PCA detects the conflicts between the...