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Scheduling
Lecture Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],17-
What is Scheduling? ,[object Object],[object Object],17-
Scheduled Operations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],17-
Objectives in Scheduling ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],17-
Shop Floor Control (SFC) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],17-
Loading ,[object Object],[object Object],[object Object],17-
Assignment Method ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],17-
Assignment Method 17- Initial  PROJECT Matrix 1 2 3 4 Bryan 10 5 6 10 Kari 6 2 4 6 Noah 7 6 5 6 Chris 9 5 4 10 Row reduction   Column reduction  Cover all zeros 5 0 1 5 3 0 1 4 3 0 1 4 4 0 2 4 2 0 2 3 2 0 2 3 2 1 0 1 0 1 0 0 0 1 0 0 5 1 0 6 3 1 0 5 3 1 0 5 Number lines    number of rows so modify matrix
17- Assignment Method 1 2 3 4 Bryan 1 0 1 2 Kari 0 0 2 1 Noah 0 3 2 0 Chris 1 1 0 3 PROJECT 1 2 3 4 Bryan 10 5 6 10 Kari 6 2 4 6 Noah 7 6 5 6 Chris 9 5 4 10 PROJECT Project Cost = (5 + 6 + 4 + 6) X $100 = $2,100 Modify matrix Cover all zeros 1 0 1 2 1 0 1 2 0 0 2 1 0 0 2 1 0 3 2 0 0 3 2 0 1 1 0 3 1 1 0 3 Number of lines = number of rows so at optimal solution
Assignment Method - Setup 17- Solution goes here Only 1 leader can be assigned to  each project Click “Solve” for solution Sum of all rows and  columns = 1
Assignment Method - Solution 17- Assignments indicated by 1 Cost of solution
Sequencing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],17-
Minimum Slack & Smallest Critical Ratio ,[object Object],[object Object],17- CR =  = If CR > 1, job ahead of schedule If CR < 1, job behind schedule If CR = 1, job on schedule time remaining due date - today’s date work remaining remaining processing time SLACK = (due date – today’s date) – (processing time)
Sequencing Jobs Through One Process ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],17-
Simple Sequencing Rules 17- PROCESSING DUE JOB TIME DATE A 5 10 B 10 15 C 2 5 D 8 12 E 6 8
Simple Sequencing Rules: FCFS 17- A 0 5 5 10 0 B 5 10 15 15 0 C 15 2 17 5 12 D 17 8 25 12 13 E 25 6 31 8 23 Total  93 48 Average   93/5 = 18.60   48/5 = 9.6 FCFS START PROCESSING COMPLETION DUE SEQUENCE TIME TIME TIME DATE TARDINESS
Simple Sequencing Rules: DDATE 17- C 0 2 2 5 0 E 2 6 8 8 0 A 8 5 13 10 3 D 13 8 21 12 9 B 21 10 31 15 16 Total 75 28 Average 75/5 = 15.00  28/5 = 5.6 DDATE START PROCESSING COMPLETION DUE SEQUENCE TIME TIME TIME DATE TARDINESS
Simple Sequencing Rules: SLACK 17- A (10-0) – 5 = 5 B (15-0) – 10 = 5 C (5-0) – 2 = 3 D (12-0) – 8 = 4 E (8-0) – 6 = 2 E 0 6 6 8 0 C 6 2 8 5 3 D 8 8 16 12 4 A 16 5 21 10 11 B 21 10 31 15 16 Total 82 34 Average 82/5 = 16.40  34/5 = 6.8 SLACK START PROCESSING COMPLETION DUE SEQUENCE TIME TIME TIME DATE TARDINESS
Simple Sequencing Rules: SPT 17- C 0 2 2 5 0 A 2 5 7 10 0 E 7 6 13 8 5 D 13 8 21 12 9 B 21 10 31 15 16 Total 74 30 Average 74/5 = 14.80   30/5 = 6 SPT START PROCESSING COMPLETION DUE SEQUENCE TIME TIME TIME DATE TARDINESS
Simple Sequencing Rules: Summary 17- FCFS 18.60 9.6 3 23 DDATE 15.00 5.6 3 16 SLACK 16.40 6.8 4 16 SPT 14.80 6.0 3 16 AVERAGE AVERAGE NO. OF MAXIMUM RULE COMPLETION TIME TARDINESS JOBS TARDY TARDINESS Best values
Sequencing Jobs Through Two Serial Process 17- ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Sequencing With Excel 17-
Johnson’s Rule 17- JOB PROCESS 1 PROCESS 2 A 6 8 B 11 6 C 7 3 D 9 7 E 5 10 C E A B D
Johnson’s Rule 17- A B C D E E A D B C Process 1 (sanding) 5 11 20 31 38 E A D B C Process 2 (painting) 5 15 23 30 37 41 Idle time Completion time = 41 Idle time = 5+1+1+3=10
Excel for Johnson’s Rule 17- User inputs processing times and sequence Excel calculates completion times and makespan When the set of jobs is completed
Guidelines for Selecting a  Sequencing Rule ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],17-
Monitoring ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],17-
Gantt Chart 17- 1 2 3 4 5 6 8 9 10 11 12 Days 1 2 3 Today’s Date Job 32B Job 23C Job 11C Job 12A Facility Key: Planned activity Completed activity Behind schedule Ahead of schedule On schedule
Input/Output Control 17- Planned input 65 65 70 70 270 Actual input 0 Deviation 0 Planned output 75 75 75 75 300 Actual output 0 Deviation 0 Backlog 30 PERIOD 1 2 3 4 TOTAL 20  10  5  0
Input/Output Control 17- Planned input 65 65 70 70 270 Actual input 60 60 65 65 250 Deviation -5 -5 -5 -5 -20 Planned output 75 75 75 75 300 Actual output 75 75 65 65 280 Deviation -0 -0 -10 -10 -20 Backlog 30 15 0 0 0 PERIOD 1 2 3 4 TOTAL
Excel for Input/Output Control 17- User inputs planned and actual values Excel calculates deviations and backlog
Advanced Planning and Scheduling Systems ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],17-
Advanced Planning and Scheduling Systems ,[object Object],[object Object],[object Object],[object Object],[object Object],17-
Advanced Planning and Scheduling 17-
Theory of Constraints ,[object Object],[object Object],[object Object],[object Object],[object Object],17-
Drum-Buffer-Rope ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],17-
TOC Scheduling Procedure ,[object Object],[object Object],[object Object],[object Object],[object Object],17-
Synchronous Manufacturing 17- B A C D B1  1  5 B2  2  3 B3  1  7 C1  3  2 C2  1  10 C3  2  15 D1  3  10 D2  2  8 D3  3  5 Item  i Key: i Ij  k  l Operation  j  of item  i  performed at  machine center  k  takes  l  minutes  to process
17- Synchronous Manufacturing Demand = 100 A’s Machine setup time = 60 minutes MACHINE 1 MACHINE 2 MACHINE 3 B1 5 B2 3 C1 2 B3 7 C3 15 D3 5 C2 10 D2 8 D1 10 Sum 22 26* 17 * Bottleneck
Synchronous Manufacturing 17- Machine 1 Machine 3 Setup Completion time 1002 2322 12 2732 0 200 1260 1940 2737 C2 B1 B3 C3 B2 D2 C1 D1 D3 Idle Setup Setup Setup Setup 1562 1512 1872 Setup Machine 2 Idle 2
Employee Scheduling ,[object Object],[object Object],[object Object],[object Object],17-
Employee Scheduling Heuristic 17- ,[object Object],[object Object],[object Object],[object Object],[object Object]
Employee Scheduling 17- DAY OF WEEK M T W TH F SA SU MIN NO. OF WORKERS REQUIRED 3 3 4 3 4 5 3 Taylor Smith Simpson Allen Dickerson
Employee Scheduling 17- DAY OF WEEK M T W TH F SA SU MIN NO. OF WORKERS REQUIRED 3 3 4 3 4 5 3 Taylor O X X O X X X Smith O X X O X X X Simpson X O X X O X X Allen X O X X X X O Dickerson X X O X X X O Completed schedule satisfies requirements but has no consecutive days off
17- Employee Scheduling DAY OF WEEK M T W TH F SA SU MIN NO. OF WORKERS REQUIRED 3 3 4 3 4 5 3 Taylor O O X X X X X Smith O O X X X X X Simpson X X O O X X X Allen X X X O X X O Dickerson X X X X O X O Revised schedule satisfies requirements with consecutive days off for most employees
Automated Scheduling Systems ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],17-

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Scheduling Lecture Outline Objectives and Techniques

  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. Assignment Method 17- Initial PROJECT Matrix 1 2 3 4 Bryan 10 5 6 10 Kari 6 2 4 6 Noah 7 6 5 6 Chris 9 5 4 10 Row reduction Column reduction Cover all zeros 5 0 1 5 3 0 1 4 3 0 1 4 4 0 2 4 2 0 2 3 2 0 2 3 2 1 0 1 0 1 0 0 0 1 0 0 5 1 0 6 3 1 0 5 3 1 0 5 Number lines  number of rows so modify matrix
  • 10. 17- Assignment Method 1 2 3 4 Bryan 1 0 1 2 Kari 0 0 2 1 Noah 0 3 2 0 Chris 1 1 0 3 PROJECT 1 2 3 4 Bryan 10 5 6 10 Kari 6 2 4 6 Noah 7 6 5 6 Chris 9 5 4 10 PROJECT Project Cost = (5 + 6 + 4 + 6) X $100 = $2,100 Modify matrix Cover all zeros 1 0 1 2 1 0 1 2 0 0 2 1 0 0 2 1 0 3 2 0 0 3 2 0 1 1 0 3 1 1 0 3 Number of lines = number of rows so at optimal solution
  • 11. Assignment Method - Setup 17- Solution goes here Only 1 leader can be assigned to each project Click “Solve” for solution Sum of all rows and columns = 1
  • 12. Assignment Method - Solution 17- Assignments indicated by 1 Cost of solution
  • 13.
  • 14.
  • 15.
  • 16. Simple Sequencing Rules 17- PROCESSING DUE JOB TIME DATE A 5 10 B 10 15 C 2 5 D 8 12 E 6 8
  • 17. Simple Sequencing Rules: FCFS 17- A 0 5 5 10 0 B 5 10 15 15 0 C 15 2 17 5 12 D 17 8 25 12 13 E 25 6 31 8 23 Total 93 48 Average 93/5 = 18.60 48/5 = 9.6 FCFS START PROCESSING COMPLETION DUE SEQUENCE TIME TIME TIME DATE TARDINESS
  • 18. Simple Sequencing Rules: DDATE 17- C 0 2 2 5 0 E 2 6 8 8 0 A 8 5 13 10 3 D 13 8 21 12 9 B 21 10 31 15 16 Total 75 28 Average 75/5 = 15.00 28/5 = 5.6 DDATE START PROCESSING COMPLETION DUE SEQUENCE TIME TIME TIME DATE TARDINESS
  • 19. Simple Sequencing Rules: SLACK 17- A (10-0) – 5 = 5 B (15-0) – 10 = 5 C (5-0) – 2 = 3 D (12-0) – 8 = 4 E (8-0) – 6 = 2 E 0 6 6 8 0 C 6 2 8 5 3 D 8 8 16 12 4 A 16 5 21 10 11 B 21 10 31 15 16 Total 82 34 Average 82/5 = 16.40 34/5 = 6.8 SLACK START PROCESSING COMPLETION DUE SEQUENCE TIME TIME TIME DATE TARDINESS
  • 20. Simple Sequencing Rules: SPT 17- C 0 2 2 5 0 A 2 5 7 10 0 E 7 6 13 8 5 D 13 8 21 12 9 B 21 10 31 15 16 Total 74 30 Average 74/5 = 14.80 30/5 = 6 SPT START PROCESSING COMPLETION DUE SEQUENCE TIME TIME TIME DATE TARDINESS
  • 21. Simple Sequencing Rules: Summary 17- FCFS 18.60 9.6 3 23 DDATE 15.00 5.6 3 16 SLACK 16.40 6.8 4 16 SPT 14.80 6.0 3 16 AVERAGE AVERAGE NO. OF MAXIMUM RULE COMPLETION TIME TARDINESS JOBS TARDY TARDINESS Best values
  • 22.
  • 24. Johnson’s Rule 17- JOB PROCESS 1 PROCESS 2 A 6 8 B 11 6 C 7 3 D 9 7 E 5 10 C E A B D
  • 25. Johnson’s Rule 17- A B C D E E A D B C Process 1 (sanding) 5 11 20 31 38 E A D B C Process 2 (painting) 5 15 23 30 37 41 Idle time Completion time = 41 Idle time = 5+1+1+3=10
  • 26. Excel for Johnson’s Rule 17- User inputs processing times and sequence Excel calculates completion times and makespan When the set of jobs is completed
  • 27.
  • 28.
  • 29. Gantt Chart 17- 1 2 3 4 5 6 8 9 10 11 12 Days 1 2 3 Today’s Date Job 32B Job 23C Job 11C Job 12A Facility Key: Planned activity Completed activity Behind schedule Ahead of schedule On schedule
  • 30. Input/Output Control 17- Planned input 65 65 70 70 270 Actual input 0 Deviation 0 Planned output 75 75 75 75 300 Actual output 0 Deviation 0 Backlog 30 PERIOD 1 2 3 4 TOTAL 20 10 5 0
  • 31. Input/Output Control 17- Planned input 65 65 70 70 270 Actual input 60 60 65 65 250 Deviation -5 -5 -5 -5 -20 Planned output 75 75 75 75 300 Actual output 75 75 65 65 280 Deviation -0 -0 -10 -10 -20 Backlog 30 15 0 0 0 PERIOD 1 2 3 4 TOTAL
  • 32. Excel for Input/Output Control 17- User inputs planned and actual values Excel calculates deviations and backlog
  • 33.
  • 34.
  • 35. Advanced Planning and Scheduling 17-
  • 36.
  • 37.
  • 38.
  • 39. Synchronous Manufacturing 17- B A C D B1 1 5 B2 2 3 B3 1 7 C1 3 2 C2 1 10 C3 2 15 D1 3 10 D2 2 8 D3 3 5 Item i Key: i Ij k l Operation j of item i performed at machine center k takes l minutes to process
  • 40. 17- Synchronous Manufacturing Demand = 100 A’s Machine setup time = 60 minutes MACHINE 1 MACHINE 2 MACHINE 3 B1 5 B2 3 C1 2 B3 7 C3 15 D3 5 C2 10 D2 8 D1 10 Sum 22 26* 17 * Bottleneck
  • 41. Synchronous Manufacturing 17- Machine 1 Machine 3 Setup Completion time 1002 2322 12 2732 0 200 1260 1940 2737 C2 B1 B3 C3 B2 D2 C1 D1 D3 Idle Setup Setup Setup Setup 1562 1512 1872 Setup Machine 2 Idle 2
  • 42.
  • 43.
  • 44. Employee Scheduling 17- DAY OF WEEK M T W TH F SA SU MIN NO. OF WORKERS REQUIRED 3 3 4 3 4 5 3 Taylor Smith Simpson Allen Dickerson
  • 45. Employee Scheduling 17- DAY OF WEEK M T W TH F SA SU MIN NO. OF WORKERS REQUIRED 3 3 4 3 4 5 3 Taylor O X X O X X X Smith O X X O X X X Simpson X O X X O X X Allen X O X X X X O Dickerson X X O X X X O Completed schedule satisfies requirements but has no consecutive days off
  • 46. 17- Employee Scheduling DAY OF WEEK M T W TH F SA SU MIN NO. OF WORKERS REQUIRED 3 3 4 3 4 5 3 Taylor O O X X X X X Smith O O X X X X X Simpson X X O O X X X Allen X X X O X X O Dickerson X X X X O X O Revised schedule satisfies requirements with consecutive days off for most employees
  • 47.

Editor's Notes

  1. 12
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