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๐Ÿ’ผStrategic Cost Management Unit 17 Review

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17.2 Value Stream Mapping and Analysis

๐Ÿ’ผStrategic Cost Management
Unit 17 Review

17.2 Value Stream Mapping and Analysis

Written by the Fiveable Content Team โ€ข Last updated September 2025
Written by the Fiveable Content Team โ€ข Last updated September 2025
๐Ÿ’ผStrategic Cost Management
Unit & Topic Study Guides

Value Stream Mapping is a powerful tool in lean manufacturing. It visually represents the flow of materials and information, helping identify waste and inefficiencies in processes. By creating current and future state maps, companies can pinpoint areas for improvement.

Key metrics like process time, lead time, and cycle time are crucial in Value Stream Analysis. This approach also examines takt time, bottlenecks, flow efficiency, and value stream costing to optimize production and reduce waste. It's all about streamlining operations and boosting efficiency.

Value Stream Mapping

Understanding Value Streams and Mapping Processes

  • Value stream encompasses all activities required to transform raw materials into finished products for customers
  • Current state map visually represents existing processes, information flows, and material movements within a value stream
    • Identifies areas of waste, inefficiencies, and opportunities for improvement
    • Uses standardized symbols to depict different elements (workstations, inventory points, material flows)
  • Future state map illustrates the ideal or improved version of the value stream
    • Incorporates proposed changes and enhancements to optimize processes
    • Serves as a blueprint for implementing lean improvements

Key Metrics in Value Stream Mapping

  • Process time measures the duration required to complete a specific task or operation within the value stream
    • Includes value-added activities directly contributing to product transformation
    • Excludes non-value-added activities (waiting, transportation, inspection)
  • Lead time represents the total time from order placement to product delivery to the customer
    • Encompasses both processing time and waiting time between operations
    • Calculated by summing up all individual process times and wait times in the value stream
  • Cycle time indicates the time interval between the completion of consecutive units in a production process
    • Helps identify bottlenecks and balance workloads across different stages

Value Stream Analysis

Analyzing Takt Time and Bottlenecks

  • Takt time calculates the ideal production pace to meet customer demand
    • Derived by dividing available production time by customer demand
    • Formula: Taktย Time=Availableย Productionย TimeCustomerย Demand\text{Takt Time} = \frac{\text{Available Production Time}}{\text{Customer Demand}}
    • Helps synchronize production rate with customer demand (pacemaker)
  • Bottlenecks represent constraints or slowest processes in the value stream
    • Limit overall system throughput and efficiency
    • Identified by comparing cycle times of different processes to takt time
    • Addressing bottlenecks improves overall flow and reduces lead times

Evaluating Flow Efficiency and Value Stream Costing

  • Flow efficiency measures the proportion of value-added time within the total lead time
    • Calculated as: Flowย Efficiency=Value-Addedย TimeTotalย Leadย Timeร—100%\text{Flow Efficiency} = \frac{\text{Value-Added Time}}{\text{Total Lead Time}} \times 100\%
    • Higher flow efficiency indicates better resource utilization and reduced waste
  • Value stream costing assigns costs directly to value streams instead of individual products or departments
    • Provides a holistic view of costs associated with entire product families or processes
    • Includes direct labor, materials, and overhead costs related to the value stream
    • Enables more accurate profitability analysis and decision-making for lean improvements
  • Capacity cost rate determines the cost per time unit of resources within the value stream
    • Calculated by dividing total value stream costs by available capacity
    • Helps in identifying underutilized resources and optimizing capacity allocation