Unit-I Evolution of Industrial Engineering

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    Manufacturing System Design

    Unit-I

    Introduction to Manufacturing Systems

    Sripriyankaruthapandi

    PSG College of Technology

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    08M702 MANUFACTURING SYSTEMS DESIGN

    INTRODUCTION TO MANUFACTURING SYSTEMS AND MODELS: Evolution of industrial engineering,

    fields and functions of industrial engineering. Types and principles of manufacturing systems, types and

    uses of manufacturing models, physical models, mathematical models, model uses, model building

    DESIGN OF AUTOMATED LINES: Assembly lines-Reliable serial systems, approaches to line balancing

    COMSOAL and RPW, Transfer lines and general serial systems paced lines without buffers. Flexible

    manufacturing systems- system components, Introduction to planning and control.

    LAYOUT DESIGN : Group technology- introduction ,part classification and coding, assigning machines to

    groups-Rank order clustering algorithm, Facility layout

    Sequential layout planning.

    SUPPORTING COMPONENTS: Machine setup and operation sequencing, Material handling systems-conveyor

    analysis, AGV systems. Warehousing-storage and retrieval systems, order picking.

    SIMULATION IN SYSTEM DESIGN: Empirical simulation models-Event models, process models, simulation

    system, example manufacturing system

    SYNCHRONIZATION MANUFACTURING: Synchronization Vs Optimization, defining the structure,

    identifying the constraint, Exploitation, Buffer Management.

    PRODUCTION PLANNING AND CONTROL: Introduction, objectives, components of PPC, forecasting,

    product planning, loading and scheduling, dispatching, production control, material handling principles,

    case studies.

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    Evolution of Industrial Engineering

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    Frederick Winslow Taylor

    18561915

    Father of Scientific Management and Efficiency Movement

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    Taylor investigated the "science" of shoveling.

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    Major Contribution

    Scientific Management

    Standards

    Process design

    Time study

    Incentive plans

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    Scientific Management

    Scientific management is a theory of management that analyses and

    synthesizesworkflow. Its main objective is to improve economic

    efficiency, especially in labour productivity.

    It was actually one of the earliest attempts of applying science to theengineering of process and management.

    It was developed by Frederick Winslow Taylor between 1880s and

    1890s within the manufacturing industries.

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    According to Fredrick Winslow Taylor, "Scientific management means

    knowing exactly what you want men to do and seeing that they do it in the

    best and the cheapest way."

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    Time Study

    time and motion study: an analysis of a specific job in an effort to find the

    most efficient method in terms of time and effort

    Time study is a direct and continuous observation of a task, using a

    timekeeping device (e.g., decimal minute stopwatch, computer-assistedelectronic stopwatch, and videotape camera) to record the time taken to

    accomplish a taskand it is often used when

    there are repetitive work cycles of short to long duration,

    wide variety of dissimilar work is performed,

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    Incentive plans

    Incentive plans are part of an employee's compensation or pay.

    The incentive plan gives an employee the opportunity to

    increase his annual pay based upon either company

    performance or individual performance. Incentive plans are a

    way for companies to keep employees motivated to perform tothe best of their abilities, thus increasing company profit.

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    Lillian Moller Gilbreth

    1868

    1926 Occasional lecturer at Purdue University

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    Gilbreth investigated the bricklayer

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    Major Contribution

    Motion economy

    Worker fatigue

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    Henry Gantt

    18611919

    Contribution is scheduling Chart.

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    Scheduling Chart

    Frequently used in project management, a Gantt chart provides a graphical

    illustration of a schedule that helps to plan, coordinate, and track specific

    tasks in a project.

    Such as MS Projects and Excel

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    Blackett

    1897 1974

    Contribution is Operation Research (OR)

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    George Dantzig

    1914

    2005 American Mathematical scientist who made important contributions

    to Linear programming .

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    It is a mathematical technique to find the best outcome with limited

    resources i.e. to achieve maximum profit with minimum cost. This method

    is possible only with the linear relationships. This technique is also called

    as linear optimization.

    Linear programming is often used in business to find maximum profit or

    minimum cost

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    Industrial Engineering Functions

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