Machining Operations- Cycle Time



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Machining Operations- Cycle Time Module 8.2 Tamboura Gaskins, LFM 06 Sean Holly, LFM 06 Mentor: Professor Tim Gutowski Professor and Associate Head of Mechanical Engineering, MIT Brian Bowers, LFM 03 Presentation for: ESD.60 Lean/Six Sigma Systems MIT Leaders for Manufacturing Program (LFM) Summer 2004 These materials were developed as part of MIT's ESD.60 course on "Lean/Six Sigma Systems." In some cases, the materials were produced by the lead instructor, Joel Cutcher-Gershenfeld, and in some cases by student teams working with LFM alumni/ae. Where the materials were developed by student teams, additional inputs from the faculty and from the technical instructor, Chris Musso, are reflected in some of the text or in an appendix

Overview Learning Objectives Impact of cycle time on machining operations The cycle time metric, a key indicator of process and equipment performance How cycle time differs from takt time Methods for controlling cycle time. Session Design (20-30 min.) Part I: Introduction and Learning Objectives (1-2 min.) Part II: Key Concept or Principle Defined and Explained (3-5 min.) Part III: Exercise or Activity Based on Field Data that Illustrates the Concept or Principle (7-10 min.) Part IV: Common Disconnects, Relevant Measures of Success, and Potential Action Assignment(s) to Apply Lessons Learned (7-10 min.) Part V: Evaluation and Concluding Comments (2-3 min.) 6/ 9/04 -- 2

Cycle Time as Process Cash Flow Just as cash flow is a direct measure of company financial performance, cycle time is a direct measure of process and equipment performance. Cycle Time The time to complete a task or collection of tasks. Throughput The desired process throughput is inverse takt time. Yield The amount of product during a processing cycle 6/ 9/04 -- 3

The Cycle Time Metric 50 45 40 35 30 25 20 Cycle Time 15 10 5 0 Prep Machining Deburring Packaging 6/ 9/04 -- 4

Once the unit cycle times are known, then what? Go Lean! Where are we? Determine process bottlenecks Where are we going? Ability to forecast process capacity based on cycle time at the narrowest bottleneck Assess bottleneck cycle times to prioritize continuous improvement/lean initiatives why improve cycle time? Continuous improvement may displace workers, as a reduction in cycle time often results in making more, faster, with fewer resources. There needs to be a plan for dealing with changing resource requirements. How will we get there? Combine cycle time with takt time and available work time to schedule production and labor allocation. Create a detailed action plan that aligns all activities. 6/ 9/04 -- 5

The Cycle Time Metric 50 45 40 35 Bottleneck 30 25 20 Cycle Time 15 10 5 0 Prep Machining Deburring Packaging 6/ 9/04 -- 6

Product Demand 500 units Available Work Time 1 shift/ day = 8.5 hrs 0.5 hr ( lunch) 0.5 hr (breaks)= 450 mins. The average time to make one unit of product. Inverted, it is the average throughput for the process. Cycle Time at Work Takt Time 450 mins./500 units = 54 secs./unit Process Cycle Time Σ (cycle times of each unit operation in the process) = 130 secs. The time to complete a task or collection of tasks from beginning to end. Work Balance # Work Cells (or operators) = Process Cycle Time/Takt Time = 2.4 cells (operators) 6/ 9/04 -- 7

Takt and Cycle Time Exercise Machining Operations Four volunteers Demonstrate Mass Production model Demonstrate Lean Production model Notes Position volunteers at stations with a varied work load at each. Processing involves passing stock from station to station Conduct a production run. Observe the factory dynamics. Use balancing techniques to smooth the operation. 6/ 9/04 -- 8

Machining Operations Adapted from T. Gutowsky, Course 2.810 6/ 9/04 -- 9

Machining Cell Cycle Times Adapted from T. Gutowsky, Course 2.810 6/ 9/04 -- 10

Machining Cell Cycle Times Adapted from T. Gutowsky, Course 2.810 6/ 9/04 -- 11

Machining Cell Cycle Time Optimization Adapted from T. Gutowsky, Course 2.810 6/ 9/04 -- 12

Step 1 Limitations Adapted from T. Gutowsky, Course 2.810 6/ 9/04 -- 13

Step 1: Add Additional Worker Check max (MTj) < CT Worker 1, 80 = 80 Worker 2, 12 + 120 > 79 ª One part every 132 seconds Can the work be shifted off the HM to reduce cycle time? Adapted from T. Gutowsky, Course 2.810 6/ 9/04 -- 14

Step 2: Balance the Load Adapted from T. Gutowsky, Course 2.810 6/ 9/04 -- 15

Step 2: Reduced Cycle Time Check max (MTj) < CT Worker 1, 80 = 80 Worker 2, 110 > 79 Hence, Worker 2 will need to wait for Vertical Mill #2 Adapted from T. Gutowsky, Course 2.810 6/ 9/04 -- 16

Summary of Cycle Time Reduction The new production rate is 1 part/110 sec Cons: Worker is idle Can t speed up by adding additional worker In order to design for flexibility, make Max (MTj) < CT/2 Adapted from T. Gutowsky, Course 2.810 6/ 9/04 -- 17

Alternative Cycle Time Reduction Plan Adapted from T. Gutowsky, Course 2.810 6/ 9/04 -- 18

Connecting Cycle Time to Lean In a mass production setting, cycle time improvements are driven by management with the goal of maximizing machine productivity. Cycle time improvements, such as that shown in step one, are easy for management to drive because machines are idle. In the Lean Model, cycle time improvements are driven by workers, based on their knowledge of the work and equipment, with the goal of increasing value added work and minimizing non-value added work. Cycle time improvements, such as that shown in step two, require an intimate familiarity of both product and process that workers possess. 6/ 9/04 -- 19

Disconnects Technical Factors Relating cycle time to other performance metrics, such as yield and first-pass throughput Prioritizing cycle time improvements to minimize production interruptions Knowing when cycle time improvement is not the answer to productivity problems, e.g. when poor yield is a quality issue not a throughput issue Social Factors Better communication in scheduling product orders to minimize set up time and maximize production time The knowledge possessed by the workers signifies the strongest leveraging point in an organization to drive continuous improvement. 6/ 9/04 -- 20

Measurables A key measure of cycle time performance is customer satisfaction. Can the process meet customer expectations consistently and without a lot of last minute scrambling to meet deadlines? Are cycle times optimized to minimize equipment and personnel idle time? Align unit cycle times to takt time to minimize processing inconsistencies. Are cycle times repeatable and reproducible over the long run? Variable cycle times may cause product quality issues and customer dissatisfaction. 6/ 9/04 -- 21

In Conclusion Cycle time is a key indicator of process and equipment performance. Machining operations rely on consistent cycle times to schedule production and allocate labor. Leverage your knowledge base to drive improvement Questions? 6/ 9/04 -- 22

Appendix: Instructor s Comments and Class Discussion on 8.2 Cycle time is linked to other aspects of lean/ six sigma Continuous improvement leads to stepped improvement in cycle once takt times come down for all steps Standardized work is key to making cycle time work on the floor This module is particularly focused on machining operations, where cycle time is machine paced (in contrast to assembly operations) 6/ 9/04 -- 23

Slide 1-2 Time 2-3 min Appendix: Instructor s Guide Topic Additional Talking Points Introduction, overview and Identify overall themes. learning objectives 3-7 3-5 min Key Concepts Discuss how cycle time relates to determining process bottlenecks. Discuss the relationships between cycle time, takt time, and available work time in production scheduling. 8-18 7-10 min Exercises/Activities Perform group exercise and highlight learning points. Discuss Cycle Time as it pertains to machining operations. 19 5-7 min Disconnects Discuss pertinent disconnects in understanding the import of developing cycle time metrics. 20 2-3 min Measurables Discuss key measurables of cycle time performance, e.g. customer satisfaction and product quality. 21 1-2 min Concluding comments Wrap up discussion. Field questions from the audience. 6/ 9/04 -- 24

Bibliography Dennis, Pascal. Lean Production Simplified. New York: Productivity Press, 2002. Strategos-International. Future State Value Stream: Mapping the Future State Site. Cited June 28, 2004. Available from http://www.strategosinc.com/vsm2.htm. 6/ 9/04 -- 25