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    Possible Journals for publication

    Journal ISSN

    International Journal of Production Research 0020-7543

    Production Planning and Control 0953-7287

    International Journal of Manufacturing Research 1750-0591

    Total Quality Management & Business Excellence 1478-3363

    International Journal of Quality & Reliability Management 0265-671X

    International Journal of Industrial and Systems Engineering 1748-5037

    The TQM Magazine 0954-478X

    Quality and Reliability Engineering 0748-8017

    International Journal of Productivity and Performance Management 1741-0401

    Expert Systems with Applications 0957-4174

    International Journal for Quality Research 1800-6450

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    Business Process Management 1463-7154

    JOURNAL OF QUALITY TECHNOLOGY 0022-4065

    Journal of Industrial Engineering International 1735-5702

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    Journal Type Impact Factor JQ2 Editor in Chief

    B 1.115 7,541 Professor A.Dolgui

    B (or C?) 0.725 6.224Dr Stephen J.

    Childe

    ??? 0.5???Prof. Lihui

    Wang

    B 0.589Professor Jens

    J. Dahlgaard

    Associate

    Professor Ton

    van der Wiele

    ??? ??? ???

    Professor

    Angappa

    Gunasekaran

    B 0.7

    2.203

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    B 1.5

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    Topics-

    production and manufacturing research. IJPR is published 24 times a year and includes papers on manufacturing

    technology and the fundamental behaviour of production resources, and also the complex and cross-disciplinary

    problems of analysis and control that arise in combining these resources within the design of production systems.

    Manufacturing strategy, policy formulation and evaluation, and the contribution of technological innovation are

    major concerns of the journal. Techniques developed in computer and mathematical sciences used in the design,

    ,

    making clear the nature of the industrial problem. Any appropriate research methods may be used and each paper

    should justify the method applied. Case studies are welcome where they illustrate research needs or application

    problems that have significance at the international level. Writers should relate their work to the existing knowledge

    in the field, especially with regard to the implications of the work for management practice and setting the agenda

    .

    With recent advances in computer and network technologies, sensors, control systems and manufacturing machines,

    manufacturing research has progressed to a new level. In addition, new research areas in manufacturing are

    emerging to address problems encountered in the evolving manufacturing environment. IJMR has been establishedto report state-of-the-art and new developments in modern manufacturing research, and publishes innovative

    '- - ,

    quality culture, quality strategy, quality systems, tools and techniques of total quality management and the

    implementation in both the manufacturing and service sectors. No topics relating to total quality management are

    , , ,

    Libraries, Quality and reliability assurance managers, Senior managers in industry and government

    Coverage: Equipment maintenance and availability, Gauging, calibration and measurement, Life cycle costing,

    Marketing aspects of quality, Product liability, Product testing techniques and systems, Quality function deployment,

    Reliability and quality education and training, productivity and adjusting and assessment and certification, Statistical

    ,

    business principles. Industrial and systems engineering (ISE) aims at imparting fundamental knowledge to develop

    the ability to address complex industrial issues, highlighting how to design, run, control and optimise production

    systems. IJISE addresses the development of ISE principles, tools, systems and methods with special emphasis on the

    Practical guidance and discussion covering the successful implementation of Total Quality Management principles.

    All aspects of preparing for, developing, introducing, managing and evaluating TQM initiatives. Senior executives in

    business and industry wishing to gain and maintain competitive advantage through TQM programmes.

    reliability. A refereed bimonthly technical journal, it covers the development and practical application of existing

    theoretical methods, research and industrial practices. Articles in the journal will be concerned with case studies,

    tutorial-type reviews and also with applications of new or well-known theory to the solution of actual quality and

    thinking in productivity science and performance measurement and management including new techniques,

    approaches and related reflective analysis designed to improve individual, group and organisational performance. Itseeks to develop an understanding in and across manufacturing, service and public sector organisations. The journal

    aims to be multi-disciplinary drawing from, amongst others, the fields of Operations, Marketing, Accounting, Supply

    , , , ,

    management of expert and intelligent systems, and also to provide practical guidelines in the development and

    , , - , ,

    Management, Proces Management and Improvement, Quality Management, Six Sigma, Supply Chain Management,

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    , , - , , , ,

    ASP & SCM, Knowledge management and learning organisation. Methodologies, techniques and tools of business

    process modeling, analysis and design, Techniques of moving from one-shot business process re-engineering to

    continuous improvement, Best practices in BPM, Performance management, Tools and techniques of change

    The Journal of Quality Technology emphasizes the practical applicability of new statistical techniques on design of

    experiments, process monitoring, reliability, and applied statistics. Papers present new methods, case study

    examples, comparisons of existing methods, and reviews of the literature on topics of current interest.

    Operations Research and Decision-Making Models, Production Planning and Inventory Control, Supply Chain

    Management, Quality Engineering, Applications of Fuzzy Theory in Industrial Engineering, Applications of Stochastic

    Models in Industrial Engineering, Applications of Metaheuristic Methods in Industrial Engineering

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