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JIT and Lean Operations
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JIT/Lean Production Just-in-time (JIT): A highly coordinated processing system in which goods move through the system, and services are performed, just as they are needed, JIT lean production JIT pull (demand) system JIT operates with very little “fat”
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Goal of JIT The ultimate goal of JIT is a balanced system.
Achieves a smooth, rapid flow of materials through the system
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Summary JIT Goals and Building Blocks
Figure 14.1 Product Design Process Personnel Elements Manufactur- ing Planning Eliminate disruptions Make the system flexible Eliminate waste A balanced rapid flow Ultimate Goal Supporting Goals Building Blocks
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JIT Building Blocks Product design Process design
Personnel/organizational elements Manufacturing planning and control
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Product Design Standard parts Modular design
Highly capable production systems Concurrent engineering
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Process Design Small lot sizes Setup time reduction
Manufacturing cells Limited work in process Quality improvement Production flexibility Little inventory storage
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Benefits of Small Lot Sizes
Reduces inventory Less storage space Less rework Problems are more apparent Increases product flexibility Easier to balance operations
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Personnel/Organizational Elements
Workers as assets Cross-trained workers Continuous improvement Cost accounting Leadership/project management
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Manufacturing Planning and Control
Level loading Pull systems Visual systems Close vendor relationships Reduced transaction processing Preventive maintenance
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Pull/Push Systems Pull system: System for moving work where a workstation pulls output from the preceding station as needed. (e.g. Kanban) Push system: System for moving work where output is pushed to the next station as it is completed
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Traditional Supplier Network
Figure 14.4a Buyer Supplier
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Tiered Supplier Network
Figure 14.4b Supplier Buyer First Tier Supplier Second Tier Supplier Third Tier Supplier
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Comparison of JIT and Traditional
Table 14.3 Factor Traditional JIT Inventory Much to offset forecast errors, late deliveries Minimal necessary to operate Deliveries Few, large Many, small Lot sizes Large Small Setup; runs Few, long runs Many, short runs Vendors Long-term relationships are unusual Partners Workers Necessary to do the work Assets
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Transitioning to a JIT System
Get top management commitment Decide which parts need most effort Obtain support of workers Start by trying to reduce setup times Gradually convert operations Convert suppliers to JIT Prepare for obstacles
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Obstacles to Conversion
Management may not be committed Workers/management may not be cooperative Suppliers may resist Why?
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JIT in Services The basic goal of the demand flow technology in the service organization is to provide optimum response to the customer with the highest quality service and lowest possible cost. Eliminate disruptions Make system flexible Reduce setup and lead times Eliminate waste Minimize WIP Simplify the process
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Benefits of JIT Systems
Reduced inventory levels High quality Flexibility Reduced lead times Increased productivity
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Benefits of JIT Systems (cont’d)
Increased equipment utilization Reduced scrap and rework Reduced space requirements Pressure for good vendor relationships Reduced need for indirect labor
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CHAPTER 15 Scheduling
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Scheduling Scheduling: Establishing the timing of the use of equipment, facilities and human activities in an organization Effective scheduling can yield Cost savings Increases in productivity
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High-Volume Systems Flow system: High-volume system with Standardized equipment and activities Flow-shop scheduling: Scheduling for high-volume flow system Work Center #1 Work Center #2 Output
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Scheduling Manufacturing Operations
High-volume Intermediate- volume Low-volume Service operations Build A A Done Build B B Done Build C C Done Build D Ship JAN FEB MAR APR MAY JUN On time!
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High-Volume Success Factors
Process and product design Preventive maintenance Rapid repair when breakdown occurs Optimal product mixes Minimization of quality problems Reliability and timing of supplies
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Intermediate-Volume Systems
Outputs are between standardized high-volume systems and made-to-order job shops Run size, timing, and sequence of jobs Economic run size:
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Scheduling Low-Volume Systems
Loading - assignment of jobs to process centers Sequencing - determining the order in which jobs will be processed Job-shop scheduling Scheduling for low-volume systems with many variations in requirements
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Gantt Load Chart Figure 15.2 Gantt chart - used as a visual aid for loading and scheduling
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Loading Infinite loading Finite loading Vertical loading
Horizontal loading Forward scheduling Backward scheduling Schedule chart
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Sequencing Sequencing: Determine the order in which jobs at a work center will be processed. Workstation: An area where one person works, usually with special equipment, on a specialized job.
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Sequencing Priority rules: Simple heuristics used to select the order in which jobs will be processed. Job time: Time needed for setup and processing of a job. Everything is #1 Priority
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Priority Rules FCFS - first come, first served
Table 15.2 FCFS - first come, first served SPT - shortest processing time EDD - earliest due date CR - critical ratio S/O - slack per operation Rush - emergency Top Priority
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Example 2 Average Number of Jobs at the Work Center
Table 15.4 3.24 9.67 22.17 CR 2.68 6.33 18.33 EDD 2.63 6.67 18.00 SPT 2.93 9.00 20.00 FCFS Average Number of Jobs at the Work Center Average Tardiness (days) Average Flow Time (days) Rule
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Two Work Center Sequencing
Johnson’s Rule: technique for minimizing completion time for a group of jobs to be processed on two machines or at two work centers. Minimizes total idle time Several conditions must be satisfied
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Johnson’s Rule Conditions
Job time must be known and constant Job times must be independent of sequence Jobs must follow same two-step sequence Job priorities cannot be used All units must be completed at the first work center before moving to second
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Johnson’s Rule Optimum Sequence
List the jobs and their times at each work center Select the job with the shortest time Eliminate the job from further consideration Repeat steps 2 and 3 until all jobs have been scheduled
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Scheduling Difficulties
Variability in Setup times Processing times Interruptions Changes in the set of jobs No method for identifying optimal schedule Scheduling is not an exact science Ongoing task for a manager
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Minimizing Scheduling Difficulties
Set realistic due dates Focus on bottleneck operations Consider lot splitting of large jobs
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Scheduling Service Operations
Appointment systems Controls customer arrivals for service Reservation systems Estimates demand for service Scheduling the workforce Manages capacity for service Scheduling multiple resources Coordinates use of more than one resource
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Cyclical Scheduling Hospitals, police/fire departments, restaurants, supermarkets Rotating schedules Set a scheduling horizon Identify the work pattern Develop a basic employee schedule Assign employees to the schedule
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Service Operation Problems
Cannot store or inventory services Customer service requests are random Scheduling service involves Customers Workforce Equipment
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Overview—United Airlines
Service Scheduling SSU1 Overview—United Airlines
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United Airlines Flight Schedule
Service Scheduling SSU2 United Airlines Flight Schedule
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Painting Example (Washburn Guitar)
Schedule PS8 Painting Example (Washburn Guitar)
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