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