Main Training Program

MOST (MAYNARD OPERATION SEQUENCE TECHNIQUE)

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INTRODUCTION FOR MOST (MAYNARD OPERATION SEQUENCE TECHNIQUE)

The Maynard Operation Sequence Technique (MOST) is a time and motion study method used for analyzing and improving work processes. Developed by Maynard in the 1940s, it focuses on breaking down tasks into basic movement sequences to calculate the time required for each sequence. MOST is designed to be simpler and more efficient than traditional time study methods, as it does not require detailed observations of individual tasks. Instead, it uses predefined sequences and their corresponding time values to estimate the total time needed for completing a task, improving productivity, and optimizing workflows. MOST is widely applied in industrial engineering, manufacturing, and operations management.

 

LEARNING OBJECTIVE

  • Understand the Fundamentals of MOST
    Participants will gain a clear understanding of the Maynard Operation Sequence Technique, its history, and how it differs from traditional time-study methods, enabling them to recognize its value in process improvement.
  • Learn to Break Down Tasks Using MOST
    Participants will develop the ability to decompose tasks into their basic sequences (e.g., reach, grasp, move), and assign appropriate time values to each, effectively applying the MOST methodology to various processes.
  • Analyze and Optimize Work Processes
    Through hands-on exercises, participants will learn how to use MOST to analyze work processes, identify inefficiencies, and suggest improvements to enhance productivity and reduce cycle times.
  • Apply MOST in Complex Scenarios
    Participants will be equipped to apply MOST to more complex and variable work scenarios, adapting the technique to different environments, including manufacturing and service sectors.
  • Implement MOST for Continuous Improvement
    Participants will gain practical knowledge on how to implement MOST within their organizations and integrate it with other process improvement initiatives, such as lean manufacturing, to drive continuous performance gains

 

WHO SHOULD ATTEND

  • Industrial Engineers – Those responsible for analyzing work processes and improving productivity in manufacturing and operations.
  • Production Managers & Supervisors – Individuals overseeing production lines who want to enhance efficiency and reduce cycle times.
  • Lean & Six Sigma Practitioners – Professionals engaged in continuous improvement and waste reduction initiatives.
  • Work Study Analysts & Time Study Practitioners – Those conducting work measurement studies and optimizing task performance.
  • Operations & Process Improvement Specialists – Individuals focused on streamlining workflows and increasing operational efficiency.
  • Manufacturing & Quality Engineers – Engineers responsible for ensuring process standardization and efficiency improvements.
  • HR & Training Personnel in Manufacturing – HR professionals developing training programs for standardized work practices.
  • Logistics & Supply Chain Professionals – Those involved in warehouse management, material handling, and distribution optimization.
  • Service Industry Professionals – Individuals in service operations looking to apply MOST for improving work processes in non-manufacturing environments.

 

LEARNING METHODOLOGY

The MOST (Maynard Operation Sequence Technique) training program will adopt a simulation-based workshop approach to ensure participants can actively engage with the concepts and apply them in real-world scenarios. This hands-on methodology allows for interactive learning and deepens the understanding of the technique through practical application.

Key Features of the Simulation Workshop Approach:

  • Interactive Simulations
    Participants will engage in guided simulations where they will analyze and optimize processes using the MOST technique. Real-world tasks and scenarios will be simulated, allowing participants to practice breaking down activities into sequences, assigning time values, and identifying inefficiencies. These simulations will cover both simple and complex tasks, giving participants the opportunity to tackle a range of operational challenges.
  • Group Collaboration
    The workshop encourages collaborative learning through team-based exercises. Participants will work in small groups to analyze different processes, share insights, and discuss potential improvements based on their MOST analysis. This encourages peer-to-peer learning, fosters communication skills, and promotes problem-solving in a team environment.
  • Role-Playing and Task Simulation
    Participants will role-play as process analysts, utilizing the MOST methodology to break down work elements, define task sequences, and optimize workflows. By simulating tasks such as material handling, assembly lines, or service processes, learners will experience how the technique can be applied across various industries.
  • Real-Time Feedback and Evaluation
    As participants conduct simulations, facilitators will provide real-time feedback and guidance on their analysis and application of MOST. This instant feedback loop ensures that learners can identify errors, refine their approach, and apply correct techniques as they progress.
  • Scenario-Based Learning
    The course will incorporate different industry scenarios and case studies, from manufacturing to service industries. By working through these simulated scenarios, participants can see how MOST can be adapted to different work environments, helping them understand its versatility and practicality.
  • Post-Simulation Debriefing
    After each simulation, the group will engage in a debriefing session where facilitators and participants discuss the outcomes, challenges faced, and key takeaways from the simulation. This reflection allows participants to consolidate their learning, reinforce concepts, and deepen their understanding of how to apply MOST effectively in the workplace.
  • Application to Real-World Problems
    The simulation will culminate in the participants applying MOST to a real-world challenge from their own industry or business. They will present their analysis and recommendations for process improvement, thereby demonstrating their mastery of MOST and its application in practical settings.

 

COURSE CONTENTS

Session 1: Introduction to MOST

  • Overview of work measurement techniques
  • History and development of MOST
  • Key benefits and applications of MOST in industry
  • Difference between MOST and traditional time-study methods

 

Session 2: MOST System Overview

  • Understanding the structure of MOST
    • Basic sequences: Reach, Move, Grasp, etc.
    • Predefined time values for sequences
  • How MOST simplifies time studies and improves efficiency

 

Session 3: MOST Methodology

  • Breakdown of the steps in the MOST methodology
    • Define the task
    • Identify the elements
    • Assign sequence codes and time values
  • Application of the MOST system in analyzing simple tasks
    • Hands-on examples of short tasks and sequence coding

 

Session 4: Practical Exercise ( Simulation workshop)

  • Case study of a simple process
  • Participants break down the process using MOST and calculate the time values
  • Group discussion on the results

 

Session  5: Advanced MOST Concepts

  • Handling complex tasks with multiple sequences
  • Application of MOST in high-variability environments
  • Integration with lean manufacturing and process improvement
  • Combining MOST with other tools (e.g., MTM, work sampling)

 

Session 6: Analyzing Real-World Tasks

  • Reviewing complex industrial tasks through MOST analysis
  • Advanced techniques in sequence timing and application
  • Identifying potential process improvements

 

Session 7: Practical Exercise (Simulation workshop)

  • Analyzing a detailed manufacturing process (real-world or hypothetical)
  • Using MOST to calculate task times, identify inefficiencies, and suggest improvements

 

Session 8: MOST Implementation and Best Practices

  • Steps for implementing MOST in an organization
  • Overcoming challenges in MOST adoption
  • Best practices for training teams and ensuring consistency in usage
  • Using MOST for continuous improvement

 

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