Time and Motion Study by RAS Supply Chain Integrity

SCI_11

Introduction 

  • Objective: To understand the time spent by colleagues on various activities in convenience shops. 
  • Client: One Stop, a large chain of convenience shops across the UK. 
  • Scope: Activities ranging from counter and shopfloor sales to receiving deliveries, stock put away, PI counts, and other store-related tasks. 

Methodology 

  • Time and Motion Study: RAS Supply Chain Integrity (RAS SCI) monitored every activity by the millisecond. 
  • Data Collection: Comprehensive data pool highlighting average times for each type of transaction. 
  • Tools Used: Advanced monitoring tools and software to ensure precise data collection. 

Activities Monitored 

  1. Counter Sales: Time taken to process customer transactions at the counter. 
  2. Shopfloor Sales: Interaction with customers and assistance provided on the shopfloor. 
  3. Receiving Deliveries: Time spent on receiving and checking deliveries. 
  4. Stock Put Away: Time taken to put away stock in the appropriate locations. 
  5. PI Counts: Periodic inventory counts and stock checks. 
  6. Other Store Activities: Miscellaneous tasks such as cleaning, organising, and administrative duties. 

Findings 

  • Average Times: Detailed breakdown of average times for each activity. 
  • Efficiency Insights: Identification of time-consuming tasks and potential areas for improvement. 
  • Cost Allocation: One Stop was able to allocate costs to each store based on the time spent on various activities. 

Benefits 

  1. Improved Efficiency: Identification of bottlenecks and time-consuming tasks allowed for process improvements. 
  2. Cost Management: Accurate allocation of costs based on activity times helped in better financial planning. 
  3. Resource Optimisation: Better understanding of time distribution enabled optimal staffing and resource allocation. 
  4. Enhanced Productivity: Streamlined processes and reduced time wastage led to increased productivity. 
  5. Data-Driven Decisions: Reliable data provided a solid foundation for making informed business decisions. 

Conclusion 

  • Impact on One Stop: Significant improvements in operational efficiency and cost management. 
  • Future Applications: Potential for applying similar studies to other areas of the business for continuous improvement. 

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