/  Production Logistics Training

Production Logistics Training

BMC Training provides a training course in Production Logistics in Warehouse , Logistics , Supply Chain and Inventory

Course Title
Venue
Start Date
End Date
  • Kuala Lumpur
    28 - 10 - 2018
    8 - 11 - 2018
  • Istanbul
    21 - 10 - 2018
    1 - 11 - 2018
  • Muscat
    28 - 10 - 2018
    8 - 11 - 2018
  • London
    4 - 11 - 2018
    15 - 11 - 2018
  • Dubai
    11 - 11 - 2018
    22 - 11 - 2018
  • Paris
    4 - 11 - 2018
    15 - 11 - 2018
  • Kuala Lumpur
    16 - 12 - 2018
    27 - 12 - 2018
  • Istanbul
    9 - 12 - 2018
    20 - 12 - 2018
  • Muscat
    16 - 12 - 2018
    27 - 12 - 2018
  • London
    13 - 1 - 2019
    24 - 1 - 2019
  • Dubai
    20 - 1 - 2019
    31 - 1 - 2019
  • Paris
    13 - 1 - 2019
    24 - 1 - 2019
  • Kuala Lumpur
    24 - 2 - 2019
    7 - 3 - 2019
  • Istanbul
    17 - 2 - 2019
    28 - 2 - 2019
  • Muscat
    24 - 2 - 2019
    7 - 3 - 2019
  • London
    3 - 3 - 2019
    14 - 3 - 2019
  • Dubai
    10 - 3 - 2019
    21 - 3 - 2019
  • Paris
    3 - 3 - 2019
    14 - 3 - 2019
  • Kuala Lumpur
    21 - 4 - 2019
    2 - 5 - 2019
  • Istanbul
    14 - 4 - 2019
    25 - 4 - 2019
  • Muscat
    21 - 4 - 2019
    2 - 5 - 2019
  • London
    19 - 5 - 2019
    30 - 5 - 2019
  • Dubai
    5 - 5 - 2019
    16 - 5 - 2019
  • Paris
    19 - 5 - 2019
    30 - 5 - 2019
  • Kuala Lumpur
    9 - 6 - 2019
    20 - 6 - 2019
  • Istanbul
    16 - 6 - 2019
    27 - 6 - 2019
  • Muscat
    9 - 6 - 2019
    20 - 6 - 2019
  • London
    21 - 7 - 2019
    1 - 8 - 2019
  • Dubai
    14 - 7 - 2019
    25 - 7 - 2019
  • Paris
    21 - 7 - 2019
    1 - 8 - 2019
  • Kuala Lumpur
    11 - 8 - 2019
    22 - 8 - 2019
  • Istanbul
    25 - 8 - 2019
    5 - 9 - 2019
  • Muscat
    11 - 8 - 2019
    22 - 8 - 2019
  • London
    8 - 9 - 2019
    19 - 9 - 2019
  • Dubai
    15 - 9 - 2019
    26 - 9 - 2019
  • Paris
    8 - 9 - 2019
    19 - 9 - 2019

Introduction:

This comprehensive course encapsulates for the first time the fundamentals of modeling Logistic Operating Curves for production and storage processes. 

On completion of this course you should be able to: 

  • Improve and evaluate products and production processes in order to attain and maintain a competitive edge.
  • Pursue and achieve a great delivery capability and reliability with the lowest possible logistic and production costs.
  • Depict the extent to which the promised dates for the placed orders can be met.
  • Explain why the marketable production costs, delivery capability and delivery reliability are critical to a company's long-term market success.
  • Monitor the interactions between the performance and cost objectives constantly so as to ensure the production's economic efficiency.
  • Clearly demonstrate the mutual dependencies between the often contradictory logistic objectives.

Course Outline

Introduction

  • Logistic Key Performance Indicators for Manufacturers
  • Dilemma of Operations Planning
  • Model Based Problem Solving Process
  • Objectives of Production Logistics
  • Logistic Operating Curves – an Explanatory Model for Production Logistics

Basic Principles of Modeling Logistic Operating Curves

  • Funnel Model as a Universal Model for Describing Production Processes
  • Work Content and Operation Times
  • Throughput Time
  • Lateness
  • Logistic Objectives in a Throughput Diagram
  • Output Rate and Utilization
  • Work in Process (WIP)
  • Weighted Throughput Time and Range
  • Little’s Law
  • Logistic Operating Curves for Production Processes

Traditional Models of Production Logistics

  • Queuing Models
  • M/G/1 Model
  • Using Queuing Theory to Determine Logistic Operating Curves
  • A Critical Review of the Queuing Theory Approach
  • Simulation
  • PROSIM III Simulation System
  • Simulation as an Aid in Determining Logistic Operating Curves
  • A Critical Review of Simulation

Deriving the Logistic Operating Curves Theory

  • Ideal Logistic Operating Curves
  • Ideal Minimum WIP Level
  • Maximum Possible Output Rate
  • Constructing Ideal Logistic Operating Curves for the Output Rate and Time Parameters
  • Deriving an Approximation Equation for Calculating an Output Rate Operating Curve
  • Cnorm Function as the Basic Function for a Calculated Output Rate Operating Curve
  • Transforming the Cnorm Function
  • Parametrizing the Logistic Operating Curves Equation
  • Calculating Output Rate Operating Curves
  • Calculating Operating Curves for the Time Parameters
  • Normalized Logistic Operating Curves
  • Logistic Operating Curves Theory and Little’s Law – a Model Synthesis
  • Verifying the Logistic Operating Curves Theory
  • Simulation Based Model Validation
  • Validating the Model Based on Field Analyses
  • Under load Operating Zone  
  • Extending the Logistic Operating Curves Theory
  • Hierarchically Aggregating Logistic Operating Curves
  • Manufacturing System Operating Curves
  • Workstations with Common WIP Buffers
  • Considering Overlapping Production
  • Prerequisites for Applying Calculated Logistic Operating Curves
  • Schedule Reliability Operating Curves
  • Mean Relative Lateness Operating Curve
  • Deriving an Operating Curve for Describing the Schedule Reliability
  • Summarizing the Derivation of the Logistic Operating Curves Theory

Basic Laws of Production Logistics

  • First Basic Law of Production Logistics
  • Second Basic Law of Production Logistics
  • Third Basic Law of Production Logistics
  • Fourth Basic Law of Production Logistics
  • Fifth Basic Law of Production Logistics
  • Sixth Basic Law of Production Logistics
  • Seventh Basic Law of Production Logistics
  • Eighth Basic Law of Production Logistics
  • Ninth Basic Law of Production Logistics

Applications of the Logistic Operating Curves Theory

  • Developing and Analyzing Calculated Logistic Operating Curves
  • Calculating the Logistic Operating Curves
  • Applying Logistic Operating Curves for Analyzing a Simulated Manufacturing Process
  • Evaluating Alternative Methods for Developing Potential for Logistic Improvement
  • Varying the Work Content Structure
  • Varying the Capacity Structure
  • Calculating Logistic Operating Curves with Missing or Incorrect Operating Data
  • Incorrect Work Content and Transport Time Data
  • Missing or Incorrect Data for the Maximal Possible Output Rate
  • An Incorrect Stretch Factor α1
  • Impact of an Unsteady Process State on Developing and Interpreting Logistic Operating Curves
  • Time Related Changes to the Work Content Structure
  • Time Related Changes in the WIP Level
  • Possibilities for Employing Logistic Operating Curves in Designing and Controlling Production Processes
  • Logistic Positioning
  • Implementing Logistic Operating Curves in Production Control
  • Logistic Oriented Design and Parameterization of Planning and Control Strategies
  • Logistic Oriented Production Design

Practical Applications of Bottleneck Oriented Logistic Analyses

  • Conducting a Bottleneck Oriented Logistic Analysis
  • Determining Key Figures
  • Determining Logistically Relevant Workstations
  • Determining Measures
  • Bottleneck Oriented Logistic Analysis in a Circuit Board Manufacturer
  • Analysis’ Objectives
  • Data Compilation
  • Order Throughput Analysis
  • Workstation Analysis
  • Quantifying the Potential for Logistic Improvement
  • Experiences in Applying Bottleneck Oriented Logistic Analyses
  • Applying the Bottleneck Oriented Logistic Analysis in a Circuit Board Insertion Department
  • Determining Throughput Time Relevant Workstations
  • Estimating Existing Potential for Logistic Improvement
  • Deriving and Implementing Workstation Specific Measures
  • Summary of Application Experiences
  • Strategies for Implementing the Bottleneck Oriented Logistic Analysis

Applying the Logistic Operating Curves Theory to Storage Processes

  • Throughput Diagram as a Model for the Logistic Procurement Process Chain
  • Storage Operating Curves
  • Determining Storage Operating Curves Using Simulations
  • Determining Storage Operating Curves Using an Approximation Equation
  • Ideal Storage Operating Curve
  • Integrating Plan Deviations
  • Parametrizing the Approximation Equation
  • Verifying Storage Operating Curves Using Simulations
  • Possible Applications
  • Fields and Limits of Application
  • Examples of Applying Storage Operating Curves in order to Evaluate Suppliers

Applying the Logistic Operating Curves Theory to Supply Chains

  • Supply Chain Objectives
  • Weighted Service Level
  • An Approximation Equation for a Service Level Operating Curve
  • Correlations between the Supply Chain’s Logistic Parameters
  • Example of a Supply Chain Logistic Analysis
  • Logistic Oriented Storage Analysis of the Manufacturer’s Finished Goods Store
  • Conducting a Bottleneck Oriented Logistic Analysis of the Manufacturer’s Production
  • Logistic Oriented Storage Analysis of the Manufacturer’s Input Stores
  • Bottleneck Oriented Logistic Analysis of the Supplier’s Production
  • Supply Chain’s Total Potential
  • Summary of Applying Operating Curves to the Supply Chain

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