SlideShare a Scribd company logo
1 of 23
PRESENTATION
         ON
PRODUCTION SCHEDULING




      PRESENTED BY:-
                 POOJA
                 HEMANGI
                 KIRAN
                 ANURADHA
ROADMAP
What is scheduling
Examples
Objectives
Elements
Priority Planning
Master Production scheduling (MPS)
Objectives of MPS
Functions of MPS
Problems of sequencing in scheduling
SCHEDULING
 Scheduling is one of the most important elements in
  production planning.

 Scheduling calls for through understanding of all aspects of
  the production process and is an outcome of the integration
  of the efforts of planners in the planning group and the
  people in the shop-floor.

 Scheduling integrates the people, machine, materials,
  customer demands, and quality requirements in finalizing the
  priorities. Scheduling makes it possible by determining
  starting and completion data each of the operations.
EXAMPLES OF SCHEDULING

Timetabling Scheduling of the Computer :A number
 of different courses (tasks) have to be given using the
 PC room(resource)
Workforce scheduling : Assign shifts for nurses and
 doctors in a Hospital
Sports Scheduling
Drug Scheduling
CONT……….

  Scheduling effects from 2 environmental factors that are
 internal and external to the organization.
Internal environment
External environment
OBJECTIVES OF SCHEDULING

Maximize throughput
Be predictable:
Minimize overhead
Balance resource use
Achieve a balance between response and utilization
Avoid indefinite postponement
Enforce Priorities
Give preference to process holding
Degrade gracefully under heavy loads
ELEMENTS OF SCHEDULING


The processors
The tasks
The processing timings
The precedence relations
PRIORITY PLANNING

 Planning is the process by which the elements
 required to perform a task are determined in advance
 of the job start. The process is as follows :
Operations soft constraints
Management policy constraints
Engineering hard constraints
MASTER PRODUCTION SCHEDULING
     Master scheduling is a part of scheduling.

 A Master Production Schedule is a Schedule of the
    completions of the end items and these completions are
    very much planned in nature.

 A MPS is also in management language referred to as the
    master of all the schedules as this schedule provides the
    production, planning, purchasing & top management, the
    most needed information required for planning and
    control of the whole manufacturing process or the
    operation.
OBJECTIVES OF MASTER SCHEDULING



Keeping the inventories
Setting up the due dates for the availability of items
Maintaining the customer service
Setting proper schedules
FUNCTIONS OF MASTER
             SCHEDULING

Specifies planning periods as daily, weekly, or monthly.
Group work order processing
Tracks accuracy of order forecasting as percentage.
Classifies supply into types such as materials, purchased,
 flow, work order, and transfer.
Schedule can be edited, changed, or consolidated.
PROBLEMS OF SEQUENCING IN
        SCHEDULING



SHORTEST PROCESSING TIME (SPT)
WEIGHTED SHORTEST PROCESSING TIME (WSPT)
EXAMPLE:-
 The data about a set of single operation jobs that is to be processed in
  a CNC lathe and the processing times of the jobs in the given set of jobs
  are as given in table.
 Find the optimal sequence which will minimize the mean flow time and
  also obtain the corresponding minimum mean flow time.

                     Job, j                Processing time, tj
                       1                             7
                       2                            18
                       3                             6
                       4                             8
                       5                            12
SOLUTION:-
 For the given problem, the number of jobs is equal to
 5. The jobs are arranged as per the SPT ordering.

             Job, j          Processing time, tj
               3                       6
               1                       7
               4                       8
               5                      12
               2                      18


Therefore, the job sequence which will minimize the
 mean flow time is 3-1-4-5-2.
CONT
The computation of flow time for the optimal sequence
 (3-1-4-5-2).
               COMPUTATION FLOW TIME
            Job, j     Processing time, tj   Completion time, cj(fj)

                3              6                       6

                1              7                       13

                4              8                       21

                5              12                      33

                2              18                      51
CONT
Since the ready time rj is zero for all the values of j, the flow
  time (fj) = cj for all j.
Therefore,
1/5 ∑ Fj = 1/5 (6+13+21+33+51)
              = 1/5 (124)
              = 24.8 hours
Therefore, the optimal mean flow time = 24.8 hours.
WSPT
Example
           Job, j     Processing time, tj   Weight , wj

             1                7                 1
             2                18                2
             3                6                 1
             4                8                 2
             5                12                3

Determine the sequence which will minimize the
 weighted flow time of this problem. Also find the
 corresponding weighted mean flow time.
SOLUTION:-

 The weighted processing times of various jobs are
 summarized by using the formula tj/wj, j = 1,2,3,4, and 5
           Job, j   Processing time,   Weight , wj   Tj/wj
                           tj
             1             7               1          7

             2            18               2          9

             3             6               1          6

             4             8               2          4

             5            12               3          4
CALCULATIONS OF WEIGHTED
        FLOW TIMES
Job, j   Processing time,   Cj (Fj)   Weight , wj   Fjwj
                tj
  4             8             8           2         16
  5            12             20          3         60
  3             6             26          1         26
  1             7             33          1         33
  2            18             51          2         102
scheduling

More Related Content

What's hot (20)

Inventory control ppt
Inventory control pptInventory control ppt
Inventory control ppt
 
Just In Time (JIT)
Just In Time (JIT)Just In Time (JIT)
Just In Time (JIT)
 
Forward scheduling vs. backward scheduling in production planning
Forward scheduling vs. backward scheduling in production planningForward scheduling vs. backward scheduling in production planning
Forward scheduling vs. backward scheduling in production planning
 
Micro-Macro Motion Study
Micro-Macro Motion StudyMicro-Macro Motion Study
Micro-Macro Motion Study
 
Inventory Control
Inventory ControlInventory Control
Inventory Control
 
Materials management ppt
Materials management pptMaterials management ppt
Materials management ppt
 
Mbo ppt
Mbo pptMbo ppt
Mbo ppt
 
Master production schedule
Master production scheduleMaster production schedule
Master production schedule
 
What is master production schedule
What is master production scheduleWhat is master production schedule
What is master production schedule
 
Ch17 scheduling
Ch17 schedulingCh17 scheduling
Ch17 scheduling
 
Time study
Time studyTime study
Time study
 
Work measurement
Work measurementWork measurement
Work measurement
 
Capacity Management
Capacity ManagementCapacity Management
Capacity Management
 
Abc Analysis
Abc AnalysisAbc Analysis
Abc Analysis
 
Planning
PlanningPlanning
Planning
 
PPT ON Just in time technique (JIT)
PPT ON Just in time technique (JIT)PPT ON Just in time technique (JIT)
PPT ON Just in time technique (JIT)
 
Controlling ppt
Controlling pptControlling ppt
Controlling ppt
 
Scheduling and sequencing
Scheduling and sequencingScheduling and sequencing
Scheduling and sequencing
 
8. chapter 7 work study (time and motion study)
8. chapter 7   work study (time and motion study)8. chapter 7   work study (time and motion study)
8. chapter 7 work study (time and motion study)
 
travel chart for plant layout
travel chart for plant layouttravel chart for plant layout
travel chart for plant layout
 

Similar to scheduling

Scheduling production
Scheduling   productionScheduling   production
Scheduling productionAditya Powale
 
Operations Research_18ME735_module 5 sequencing notes.pdf
Operations Research_18ME735_module 5 sequencing notes.pdfOperations Research_18ME735_module 5 sequencing notes.pdf
Operations Research_18ME735_module 5 sequencing notes.pdfRoopaDNDandally
 
Global seek optimization in real time database
Global seek optimization in real time databaseGlobal seek optimization in real time database
Global seek optimization in real time databaseIAEME Publication
 
SBS - SMED Training (Set Up Reduction)
SBS - SMED Training (Set Up Reduction)SBS - SMED Training (Set Up Reduction)
SBS - SMED Training (Set Up Reduction)Chris Cummins
 
Litttle knowledge of lean concept helps
Litttle knowledge of lean  concept helpsLitttle knowledge of lean  concept helps
Litttle knowledge of lean concept helpsSF Lau
 
11.optimal three stage flow shop scheduling in which processing time, set up ...
11.optimal three stage flow shop scheduling in which processing time, set up ...11.optimal three stage flow shop scheduling in which processing time, set up ...
11.optimal three stage flow shop scheduling in which processing time, set up ...Alexander Decker
 
Optimal three stage flow shop scheduling in which processing time, set up tim...
Optimal three stage flow shop scheduling in which processing time, set up tim...Optimal three stage flow shop scheduling in which processing time, set up tim...
Optimal three stage flow shop scheduling in which processing time, set up tim...Alexander Decker
 
11.flow shop scheduling problem, processing time associated with probabilitie...
11.flow shop scheduling problem, processing time associated with probabilitie...11.flow shop scheduling problem, processing time associated with probabilitie...
11.flow shop scheduling problem, processing time associated with probabilitie...Alexander Decker
 
Flow shop scheduling problem, processing time associated with probabilities i...
Flow shop scheduling problem, processing time associated with probabilities i...Flow shop scheduling problem, processing time associated with probabilities i...
Flow shop scheduling problem, processing time associated with probabilities i...Alexander Decker
 
A case study on Machine scheduling and sequencing using Meta heuristics
A case study on Machine scheduling and sequencing using Meta heuristicsA case study on Machine scheduling and sequencing using Meta heuristics
A case study on Machine scheduling and sequencing using Meta heuristicsIJERA Editor
 
A case study on Machine scheduling and sequencing using Meta heuristics
A case study on Machine scheduling and sequencing using Meta heuristicsA case study on Machine scheduling and sequencing using Meta heuristics
A case study on Machine scheduling and sequencing using Meta heuristicsIJERA Editor
 
Job Shop Scheduling.pptx
Job Shop Scheduling.pptxJob Shop Scheduling.pptx
Job Shop Scheduling.pptxSyedAmirIqbal3
 
Application of branch and bound technique for nx3 flow shop scheduling, in wh...
Application of branch and bound technique for nx3 flow shop scheduling, in wh...Application of branch and bound technique for nx3 flow shop scheduling, in wh...
Application of branch and bound technique for nx3 flow shop scheduling, in wh...Alexander Decker
 
Job shop scheduling
Job shop schedulingJob shop scheduling
Job shop schedulingSujeet TAMBE
 
Clock driven scheduling
Clock driven schedulingClock driven scheduling
Clock driven schedulingKamal Acharya
 
Machines constrained flow shop scheduling processing time, setup time each as...
Machines constrained flow shop scheduling processing time, setup time each as...Machines constrained flow shop scheduling processing time, setup time each as...
Machines constrained flow shop scheduling processing time, setup time each as...Alexander Decker
 

Similar to scheduling (20)

Scheduling production
Scheduling   productionScheduling   production
Scheduling production
 
Operations Research_18ME735_module 5 sequencing notes.pdf
Operations Research_18ME735_module 5 sequencing notes.pdfOperations Research_18ME735_module 5 sequencing notes.pdf
Operations Research_18ME735_module 5 sequencing notes.pdf
 
Exam110121
Exam110121Exam110121
Exam110121
 
Global seek optimization in real time database
Global seek optimization in real time databaseGlobal seek optimization in real time database
Global seek optimization in real time database
 
Flowshop scheduling
Flowshop schedulingFlowshop scheduling
Flowshop scheduling
 
SBS - SMED Training (Set Up Reduction)
SBS - SMED Training (Set Up Reduction)SBS - SMED Training (Set Up Reduction)
SBS - SMED Training (Set Up Reduction)
 
Litttle knowledge of lean concept helps
Litttle knowledge of lean  concept helpsLitttle knowledge of lean  concept helps
Litttle knowledge of lean concept helps
 
11.optimal three stage flow shop scheduling in which processing time, set up ...
11.optimal three stage flow shop scheduling in which processing time, set up ...11.optimal three stage flow shop scheduling in which processing time, set up ...
11.optimal three stage flow shop scheduling in which processing time, set up ...
 
Optimal three stage flow shop scheduling in which processing time, set up tim...
Optimal three stage flow shop scheduling in which processing time, set up tim...Optimal three stage flow shop scheduling in which processing time, set up tim...
Optimal three stage flow shop scheduling in which processing time, set up tim...
 
R0260950100
R0260950100R0260950100
R0260950100
 
11.flow shop scheduling problem, processing time associated with probabilitie...
11.flow shop scheduling problem, processing time associated with probabilitie...11.flow shop scheduling problem, processing time associated with probabilitie...
11.flow shop scheduling problem, processing time associated with probabilitie...
 
Flow shop scheduling problem, processing time associated with probabilities i...
Flow shop scheduling problem, processing time associated with probabilities i...Flow shop scheduling problem, processing time associated with probabilities i...
Flow shop scheduling problem, processing time associated with probabilities i...
 
A case study on Machine scheduling and sequencing using Meta heuristics
A case study on Machine scheduling and sequencing using Meta heuristicsA case study on Machine scheduling and sequencing using Meta heuristics
A case study on Machine scheduling and sequencing using Meta heuristics
 
A case study on Machine scheduling and sequencing using Meta heuristics
A case study on Machine scheduling and sequencing using Meta heuristicsA case study on Machine scheduling and sequencing using Meta heuristics
A case study on Machine scheduling and sequencing using Meta heuristics
 
Job Shop Scheduling.pptx
Job Shop Scheduling.pptxJob Shop Scheduling.pptx
Job Shop Scheduling.pptx
 
Application of branch and bound technique for nx3 flow shop scheduling, in wh...
Application of branch and bound technique for nx3 flow shop scheduling, in wh...Application of branch and bound technique for nx3 flow shop scheduling, in wh...
Application of branch and bound technique for nx3 flow shop scheduling, in wh...
 
Job shop scheduling
Job shop schedulingJob shop scheduling
Job shop scheduling
 
Extlect02
Extlect02Extlect02
Extlect02
 
Clock driven scheduling
Clock driven schedulingClock driven scheduling
Clock driven scheduling
 
Machines constrained flow shop scheduling processing time, setup time each as...
Machines constrained flow shop scheduling processing time, setup time each as...Machines constrained flow shop scheduling processing time, setup time each as...
Machines constrained flow shop scheduling processing time, setup time each as...
 

Recently uploaded

Keppel Ltd. 1Q 2024 Business Update Presentation Slides
Keppel Ltd. 1Q 2024 Business Update  Presentation SlidesKeppel Ltd. 1Q 2024 Business Update  Presentation Slides
Keppel Ltd. 1Q 2024 Business Update Presentation SlidesKeppelCorporation
 
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCRashishs7044
 
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In.../:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...lizamodels9
 
Independent Call Girls Andheri Nightlaila 9967584737
Independent Call Girls Andheri Nightlaila 9967584737Independent Call Girls Andheri Nightlaila 9967584737
Independent Call Girls Andheri Nightlaila 9967584737Riya Pathan
 
Market Sizes Sample Report - 2024 Edition
Market Sizes Sample Report - 2024 EditionMarket Sizes Sample Report - 2024 Edition
Market Sizes Sample Report - 2024 EditionMintel Group
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...lizamodels9
 
Marketing Management Business Plan_My Sweet Creations
Marketing Management Business Plan_My Sweet CreationsMarketing Management Business Plan_My Sweet Creations
Marketing Management Business Plan_My Sweet Creationsnakalysalcedo61
 
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCRashishs7044
 
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,noida100girls
 
Digital Transformation in the PLM domain - distrib.pdf
Digital Transformation in the PLM domain - distrib.pdfDigital Transformation in the PLM domain - distrib.pdf
Digital Transformation in the PLM domain - distrib.pdfJos Voskuil
 
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...ictsugar
 
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu MenzaYouth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu Menzaictsugar
 
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCRashishs7044
 
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCRashishs7044
 
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… Abridged
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… AbridgedLean: From Theory to Practice — One City’s (and Library’s) Lean Story… Abridged
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… AbridgedKaiNexus
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...lizamodels9
 
Annual General Meeting Presentation Slides
Annual General Meeting Presentation SlidesAnnual General Meeting Presentation Slides
Annual General Meeting Presentation SlidesKeppelCorporation
 
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...lizamodels9
 

Recently uploaded (20)

Keppel Ltd. 1Q 2024 Business Update Presentation Slides
Keppel Ltd. 1Q 2024 Business Update  Presentation SlidesKeppel Ltd. 1Q 2024 Business Update  Presentation Slides
Keppel Ltd. 1Q 2024 Business Update Presentation Slides
 
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
 
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In.../:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
 
Independent Call Girls Andheri Nightlaila 9967584737
Independent Call Girls Andheri Nightlaila 9967584737Independent Call Girls Andheri Nightlaila 9967584737
Independent Call Girls Andheri Nightlaila 9967584737
 
Market Sizes Sample Report - 2024 Edition
Market Sizes Sample Report - 2024 EditionMarket Sizes Sample Report - 2024 Edition
Market Sizes Sample Report - 2024 Edition
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
 
Marketing Management Business Plan_My Sweet Creations
Marketing Management Business Plan_My Sweet CreationsMarketing Management Business Plan_My Sweet Creations
Marketing Management Business Plan_My Sweet Creations
 
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
 
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
 
Digital Transformation in the PLM domain - distrib.pdf
Digital Transformation in the PLM domain - distrib.pdfDigital Transformation in the PLM domain - distrib.pdf
Digital Transformation in the PLM domain - distrib.pdf
 
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...
 
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu MenzaYouth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
 
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
 
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
 
Japan IT Week 2024 Brochure by 47Billion (English)
Japan IT Week 2024 Brochure by 47Billion (English)Japan IT Week 2024 Brochure by 47Billion (English)
Japan IT Week 2024 Brochure by 47Billion (English)
 
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… Abridged
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… AbridgedLean: From Theory to Practice — One City’s (and Library’s) Lean Story… Abridged
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… Abridged
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
 
Corporate Profile 47Billion Information Technology
Corporate Profile 47Billion Information TechnologyCorporate Profile 47Billion Information Technology
Corporate Profile 47Billion Information Technology
 
Annual General Meeting Presentation Slides
Annual General Meeting Presentation SlidesAnnual General Meeting Presentation Slides
Annual General Meeting Presentation Slides
 
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
 

scheduling

  • 1. PRESENTATION ON PRODUCTION SCHEDULING PRESENTED BY:- POOJA HEMANGI KIRAN ANURADHA
  • 2. ROADMAP What is scheduling Examples Objectives Elements Priority Planning Master Production scheduling (MPS) Objectives of MPS Functions of MPS Problems of sequencing in scheduling
  • 3. SCHEDULING  Scheduling is one of the most important elements in production planning.  Scheduling calls for through understanding of all aspects of the production process and is an outcome of the integration of the efforts of planners in the planning group and the people in the shop-floor.  Scheduling integrates the people, machine, materials, customer demands, and quality requirements in finalizing the priorities. Scheduling makes it possible by determining starting and completion data each of the operations.
  • 4. EXAMPLES OF SCHEDULING Timetabling Scheduling of the Computer :A number of different courses (tasks) have to be given using the PC room(resource) Workforce scheduling : Assign shifts for nurses and doctors in a Hospital Sports Scheduling Drug Scheduling
  • 5.
  • 6. CONT………. Scheduling effects from 2 environmental factors that are internal and external to the organization. Internal environment External environment
  • 7. OBJECTIVES OF SCHEDULING Maximize throughput Be predictable: Minimize overhead Balance resource use Achieve a balance between response and utilization Avoid indefinite postponement Enforce Priorities Give preference to process holding Degrade gracefully under heavy loads
  • 8. ELEMENTS OF SCHEDULING The processors The tasks The processing timings The precedence relations
  • 9. PRIORITY PLANNING Planning is the process by which the elements required to perform a task are determined in advance of the job start. The process is as follows : Operations soft constraints Management policy constraints Engineering hard constraints
  • 10.
  • 11. MASTER PRODUCTION SCHEDULING  Master scheduling is a part of scheduling.  A Master Production Schedule is a Schedule of the completions of the end items and these completions are very much planned in nature.  A MPS is also in management language referred to as the master of all the schedules as this schedule provides the production, planning, purchasing & top management, the most needed information required for planning and control of the whole manufacturing process or the operation.
  • 12.
  • 13. OBJECTIVES OF MASTER SCHEDULING Keeping the inventories Setting up the due dates for the availability of items Maintaining the customer service Setting proper schedules
  • 14. FUNCTIONS OF MASTER SCHEDULING Specifies planning periods as daily, weekly, or monthly. Group work order processing Tracks accuracy of order forecasting as percentage. Classifies supply into types such as materials, purchased, flow, work order, and transfer. Schedule can be edited, changed, or consolidated.
  • 15. PROBLEMS OF SEQUENCING IN SCHEDULING SHORTEST PROCESSING TIME (SPT) WEIGHTED SHORTEST PROCESSING TIME (WSPT)
  • 16. EXAMPLE:-  The data about a set of single operation jobs that is to be processed in a CNC lathe and the processing times of the jobs in the given set of jobs are as given in table.  Find the optimal sequence which will minimize the mean flow time and also obtain the corresponding minimum mean flow time. Job, j Processing time, tj 1 7 2 18 3 6 4 8 5 12
  • 17. SOLUTION:- For the given problem, the number of jobs is equal to 5. The jobs are arranged as per the SPT ordering. Job, j Processing time, tj 3 6 1 7 4 8 5 12 2 18 Therefore, the job sequence which will minimize the mean flow time is 3-1-4-5-2.
  • 18. CONT The computation of flow time for the optimal sequence (3-1-4-5-2).  COMPUTATION FLOW TIME Job, j Processing time, tj Completion time, cj(fj) 3 6 6 1 7 13 4 8 21 5 12 33 2 18 51
  • 19. CONT Since the ready time rj is zero for all the values of j, the flow time (fj) = cj for all j. Therefore, 1/5 ∑ Fj = 1/5 (6+13+21+33+51) = 1/5 (124) = 24.8 hours Therefore, the optimal mean flow time = 24.8 hours.
  • 20. WSPT Example Job, j Processing time, tj Weight , wj 1 7 1 2 18 2 3 6 1 4 8 2 5 12 3 Determine the sequence which will minimize the weighted flow time of this problem. Also find the corresponding weighted mean flow time.
  • 21. SOLUTION:-  The weighted processing times of various jobs are summarized by using the formula tj/wj, j = 1,2,3,4, and 5 Job, j Processing time, Weight , wj Tj/wj tj 1 7 1 7 2 18 2 9 3 6 1 6 4 8 2 4 5 12 3 4
  • 22. CALCULATIONS OF WEIGHTED FLOW TIMES Job, j Processing time, Cj (Fj) Weight , wj Fjwj tj 4 8 8 2 16 5 12 20 3 60 3 6 26 1 26 1 7 33 1 33 2 18 51 2 102