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Beni Asllani University of Tennessee at Chattanooga Scheduling Operations Management - 5 th  Edition Chapter 16 Roberta Russell & Bernard W. Taylor, III
Lecture Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is Scheduling? ,[object Object],[object Object]
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]
Objectives in Scheduling ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Shop Floor Control ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Loading ,[object Object],[object Object],[object Object]
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]
Assignment Method: Example 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 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
Assignment Method: Example (cont.) Project Cost = (5 + 6 + 6 + 4) 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 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
Sequencing ,[object Object],[object Object],[object Object],[object Object]
Sequencing Rules ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Critical Ratio Rule CR considers both time and work remaining 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
Sequencing Jobs Through One Process ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Simple Sequencing Rules PROCESSING DUE JOB TIME DATE A 5 10 B 10 15 C 2 5 D 8 12 E 6 8
Simple Sequencing Rules: FCFS 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 FCFS START PROCESSING COMPLETION DUE SEQUENCE TIME TIME TIME DATE TARDINESS
Simple Sequencing Rules: DDATE 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 DDATE START PROCESSING COMPLETION DUE SEQUENCE TIME TIME TIME DATE TARDINESS
Simple Sequencing Rules: SLACK 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 SLACK START PROCESSING COMPLETION DUE SEQUENCE TIME TIME TIME DATE TARDINESS
Simple Sequencing Rules: CR A (10)/5 = 2.00 B (15)/10 = 1.50 C (5)/2 = 2.50 D (12)/8 = 1.50 E (8)/6 = 1.33 E 0 6 6 8 0 D 6 8 14 12 2 B 14 10 24 15 9 A 24 5 29 10 19 C 29 2 31 5 26 CR START PROCESSING COMPLETION DUE SEQUENCE TIME TIME TIME DATE TARDINESS
Simple Sequencing Rules: SPT 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 SPT START PROCESSING COMPLETION DUE SEQUENCE TIME TIME TIME DATE TARDINESS
Simple Sequencing Rules: Summary FCFS 18.60 9.6 3 23 DDATE 15.00 5.6 3 16 SLACK 16.40 6.8 4 16 CR 20.80 11.2 4 26 SPT 14.80 6.0 3 16 AVERAGE AVERAGE NO. OF MAXIMUM RULE COMPLETION TIME TARDINESS JOBS TARDY TARDINESS
Sequencing Jobs Through Two Serial Process ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Johnson’s Rule 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 (cont.) A B C D E Completion time = 41 Idle time = 5+1+1+3=10 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
Guidelines for Selecting a Sequencing Rule ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Monitoring ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Gantt Chart 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 Input/Output Report Planned input 65 65 70 75 Actual input 60 60 65 65 Deviation Planned output 75 75 75 75 Actual output 70 70 65 65 Deviation Backlog 30 PERIOD 1 2 3 4 TOTAL
Input/Output Control (cont.) Input/Output Report Planned input 60 65 70 75 270 Actual input 60 60 65 65 250 Deviation 0 -5 -5 -10 -20 Planned output 75 75 75 75 300 Actual output 70 70 65 65 270 Deviation -5 -5 -10 -10 -30 Backlog 30 20 10 10 10 PERIOD 1 2 3 4 TOTAL
Advanced Planning and Scheduling Systems ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Advanced Planning and Scheduling Systems (cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Theory of Constraints ,[object Object],[object Object],[object Object],[object Object]
Drum-Buffer-Rope ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
TOC Scheduling Procedure ,[object Object],[object Object],[object Object],[object Object],[object Object]
Synchronous Manufacturing 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 Operation  j  of item  i  performed at  machine center  k  takes  l  minutes  to process Item  i Key: i ij  k   l
Synchronous Manufacturing (cont.) 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 (cont.) 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]
Employee Scheduling Heuristic ,[object Object],[object Object],[object Object],[object Object],[object Object]
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 Smith Simpson Allen Dickerson
Employee Scheduling (cont.) 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
Employee Scheduling (cont.) 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]
Copyright 2006 John Wiley & Sons, Inc. All rights reserved.  Reproduction or translation of this work beyond that permitted in section 117 of the 1976 United States Copyright Act without express permission of the copyright owner is unlawful.  Request for further information should be addressed to the Permission Department, John Wiley & Sons, Inc.  The purchaser may make back-up copies for his/her own use only and not for distribution or resale.  The Publisher assumes no responsibility for errors, omissions, or damages caused by the use of these programs or from the use of the information herein.

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Scheduling

  • 1. Beni Asllani University of Tennessee at Chattanooga Scheduling Operations Management - 5 th Edition Chapter 16 Roberta Russell & Bernard W. Taylor, III
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. Assignment Method: Example 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 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
  • 10. Assignment Method: Example (cont.) Project Cost = (5 + 6 + 6 + 4) 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 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
  • 11.
  • 12.
  • 13. Critical Ratio Rule CR considers both time and work remaining 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
  • 14.
  • 15. Simple Sequencing Rules PROCESSING DUE JOB TIME DATE A 5 10 B 10 15 C 2 5 D 8 12 E 6 8
  • 16. Simple Sequencing Rules: FCFS 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 FCFS START PROCESSING COMPLETION DUE SEQUENCE TIME TIME TIME DATE TARDINESS
  • 17. Simple Sequencing Rules: DDATE 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 DDATE START PROCESSING COMPLETION DUE SEQUENCE TIME TIME TIME DATE TARDINESS
  • 18. Simple Sequencing Rules: SLACK 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 SLACK START PROCESSING COMPLETION DUE SEQUENCE TIME TIME TIME DATE TARDINESS
  • 19. Simple Sequencing Rules: CR A (10)/5 = 2.00 B (15)/10 = 1.50 C (5)/2 = 2.50 D (12)/8 = 1.50 E (8)/6 = 1.33 E 0 6 6 8 0 D 6 8 14 12 2 B 14 10 24 15 9 A 24 5 29 10 19 C 29 2 31 5 26 CR START PROCESSING COMPLETION DUE SEQUENCE TIME TIME TIME DATE TARDINESS
  • 20. Simple Sequencing Rules: SPT 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 SPT START PROCESSING COMPLETION DUE SEQUENCE TIME TIME TIME DATE TARDINESS
  • 21. Simple Sequencing Rules: Summary FCFS 18.60 9.6 3 23 DDATE 15.00 5.6 3 16 SLACK 16.40 6.8 4 16 CR 20.80 11.2 4 26 SPT 14.80 6.0 3 16 AVERAGE AVERAGE NO. OF MAXIMUM RULE COMPLETION TIME TARDINESS JOBS TARDY TARDINESS
  • 22.
  • 23. Johnson’s Rule 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
  • 24. Johnson’s Rule (cont.) A B C D E Completion time = 41 Idle time = 5+1+1+3=10 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
  • 25.
  • 26.
  • 27. Gantt Chart 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
  • 28. Input/Output Control Input/Output Report Planned input 65 65 70 75 Actual input 60 60 65 65 Deviation Planned output 75 75 75 75 Actual output 70 70 65 65 Deviation Backlog 30 PERIOD 1 2 3 4 TOTAL
  • 29. Input/Output Control (cont.) Input/Output Report Planned input 60 65 70 75 270 Actual input 60 60 65 65 250 Deviation 0 -5 -5 -10 -20 Planned output 75 75 75 75 300 Actual output 70 70 65 65 270 Deviation -5 -5 -10 -10 -30 Backlog 30 20 10 10 10 PERIOD 1 2 3 4 TOTAL
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35. Synchronous Manufacturing 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 Operation j of item i performed at machine center k takes l minutes to process Item i Key: i ij k l
  • 36. Synchronous Manufacturing (cont.) 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
  • 37. Synchronous Manufacturing (cont.) 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
  • 38.
  • 39.
  • 40. 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 Smith Simpson Allen Dickerson
  • 41. Employee Scheduling (cont.) 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
  • 42. Employee Scheduling (cont.) 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
  • 43.
  • 44. Copyright 2006 John Wiley & Sons, Inc. All rights reserved. Reproduction or translation of this work beyond that permitted in section 117 of the 1976 United States Copyright Act without express permission of the copyright owner is unlawful. Request for further information should be addressed to the Permission Department, John Wiley & Sons, Inc. The purchaser may make back-up copies for his/her own use only and not for distribution or resale. The Publisher assumes no responsibility for errors, omissions, or damages caused by the use of these programs or from the use of the information herein.