 International Journal of Service and Computing Oriented Manufacturing (IJSCOM) ISSN (Online): 2045-1768 - ISSN (Print): 2045-175X Published in 4 issues per year (View Subscription Price) Click to download IJSCOM leaflet In order to realise the goal of TQCSEFK (fastest Time-to-market, highest Quality, lowest Cost, best Service, cleanest Environment, greatest Flexibility, and highest levels of Knowledge), manufacturing enterprises have to realise the change from production-oriented manufacturing to service-oriented manufacturing, and cooperate with other enterprises to make full use of global manufacturing resources and the capabilities in their production.
The theory and technology advances produced in the field of IT services and technologies (e.g., web services, service-oriented architecture (SOA), service-oriented consulting methodology (SOCM), ontology, BEPEL, etc), advanced computing technologies (e.g., distributed computing, parallel computing, cluster computing, high performance technology, ubiquitous/pervasive computing, intelligent computing, P2P, grid computing, cloud computing, quantum computing, etc), internet, computer science, operational research and management science, are the driving force for this transformation and the realisation of TQCSEFK.
IJSCOM aims to establish a bridge between manufacturing and related fields such as information systems and technology, internet, computer science, operational research and management science, in particular the field of IT services and advanced computing technologies, so as to share and disseminate knowledge among all those involved in these areas.
Objectives
IJSCOM aims:
- To establish channels of communication and disseminate knowledge between academics, researchers, educators, policy makers, executives and practitioners working in the interdisciplinary fields of manufacturing information, internet, control systems, operational research and management
- To further the theory and technology in these fields to be used in manufacturing, and to accelerate the development of manufacturing
- To enable IT services and advanced computing to perform manufacturing services more efficiently and effectively
Readership
IJSCOM is a global forum to help policy makers, executives, academics, educators, researchers and practitioners working in the interdisciplinary fields of manufacturing, information, operational research, simulation, industrial informatics and management science to discuss important ideas and concepts, to disseminate information and to learn from each other’s work. Contents
IJSCOM primarily publishes original, empirical and review papers; case studies; conference and technology reports; and new book reviews. In addition to the regular issues of the journal, IJSCOM publishes Special Issues devoted to important topics in the areas listed above. Subject Coverage
Subjects of significant interest to IJSCOM include, but are not limited to:
- Service and Computing-oriented Manufacturing (SCoM) systems, including architecture, theory, method, modelling, application, and case studies of:
- Service-oriented manufacturing systems
- Computing-based manufacturing systems
- Simulation-based manufacturing systems
- Event-driven business-driven manufacturing systems
- Cyber manufacturing systems
- Biological based manufacturing systems
- Digital manufacturing
- Multi-agent based manufacturing systems
- Self-organising manufacturing systems
- Distributed manufacturing systems
- Ontology-based manufacturing systems
- Module-based manufacturing systems
- Remanufacturing and reconfigurable manufacturing systems
- Intelligent and flexible manufacturing systems
- Application of advanced computing technologies in manufacturing, including:
- Manufacturing grid, applications of grid computing in manufacturing
- Cloud manufacturing, applications of cloud computing in manufacturing
- Application of quantum computing in manufacturing
- Application of intelligent optimisation algorithms (e.g., QMAEA,PSO,GAs,ANNs,ACO,immune algorithms) in manufacturing
- Application of distributed computing, parallel computing, cluster computing, high performance technology (HPC), ubiquitous/pervasive computing, intelligent computing, P2P, etc, in manufacturing
- Resource and service management in SCoM, including:
- Manufacturing resources and services
- Management systems
- Modelling, digital description and annotation
- Creation, visualisation, realisation, deployment and delivery
- Business components
- Discovery/search and match
- Composition
- Value chain collaboration
- Optimisation
- Relationships
- Monitoring and failure management
- QoS (quality of service) management, including QoS modelling, description, evaluation, extraction, comparison, aggression, etc
- Trust and reliability management
- Planning, scheduling and control
- Cost and price management
- Characteristics of SCoM, including:
- Application of complex theory in SCoM systems
- Complex characteristics involved in SCoM
- Dynamic characteristics of SCoM systems
- Scale-free characteristics of manufacturing networks
- Virtualisation of SCoM networks
- Monitoring and control of SCoM networks
- Supporting environment and tools for SCoM, including:
- Internet/web supports, e.g., internet/web standards, criteria, protocols, middleware, data warehouses, web portals and interfaces, language, ontology, etc
- Digital equipment, processes, machining methods
- Information systems, e.g., CAD/CAPP/CAM/ERP/SCM/CRM/PDM/MES/PLM, etc
- Safety, security, reliability, trust in SCoM
- Simulation and modelling in SCoM
- Supply chain management for SCoM
- Enterprise production and business models for SCoM
- Optimisation problems in SCoM, such as job scheduling, planning, partner selection, etc
- Workflow, project management and collaboration in SCoM
- Implementation and management tools for SCoM
- Application of advanced intranet/internet technology in manufacturing, such as cyber physical systems (CPS), wireless sensor networks (WSN), internet of things (IoT)
- Application and information system integration in manufacturing systems
- Future manufacturing system and models
- Marketing, business models, strategies for SCoM
- Law, ethics, standards, energy issues, environmental management for SCoM
- Application of artificial intelligence in SCoM
Specific Notes for Authors
Submitted papers should not have been previously published nor be currently
under consideration for publication elsewhere.
All papers are refereed through a double blind process. A guide for authors,
sample copies and other relevant information for submitting papers are
available on the Author Guidelines
web-page.
To submit a paper, please go to Submissions of Papers
All papers must be submitted online. If you experience any problems submitting your paper online, please contact submissions@inderscience.com,
describing the exact problem you experience. Please include in your email the title of the Journal.
Editors and Members of the Editorial Board
Editor in Chief Dr. Fei Tao Beihang University (Beijing University of Aeronautics & Astronautics) School of Automation Science and Electrical Engineering New Main Building E-306, #37 Xueyuan Road Haidian Beijing 100191 CHINA ftao buaa.edu.cn
Editorial Board Members Prof. Theodor BorangiuTh University Politehnica of Bucharest ROMANIA Prof. Emanuele BorgonovoEm Bocconi University ITALY Dr. Sheryl BrahnamSh Missouri State University USA Prof. Agostino G. BruzzoneAg University of Genoa ITALY Prof. Nabendu ChakiNa University of Calcutta INDIA Prof. Dr. Axel LehmannAx Universitaet der Bundeswehr Muenchen GERMANY Prof. Weiping LiWe Peking University CHINA Dr. Francesco MarinelloFr University of Padova ITALY Prof. Andrew Yeh-Ching NeeAn National University of Singapore SINGAPORE Prof. D. T. PhamD. University of Birmingham UK Prof. Stefan PicklSt Universität der Bundeswehr München GERMANY Prof. Bhaba R. SarkerBh Louisiana State University USA Dr. Sukumar SenthilkumarSu University Sains Malaysia MALAYSIA Dr. Rossitza SetchiRo Cardiff University UK Prof. V. C. VenkateshV. University of Nevada-Las Vegas USA Prof. Lihui WangLi University of Skövde SWEDEN Prof. Q WangQ Peking University CHINA Prof. F. XieF. Portland State University USA Prof. L. ZhangL. Beihang University CHINA Prof. Z. D. ZhouZ. Wuhan University of Technology CHINA Prof. Fuxi ZhuFu Wuhan University CHINA
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