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Operation Management
1
Prepared by: Mohamed Reda
What is Operation Management
 is an area of management concerned with overseeing,
designing, and controlling the process of production and
redesigning business operations in the production of
goods or services.
2
Operation Management Dimension of
performance
 Time (responsiveness)
 Variety
 Quality
 Cost (effectives)
These dimensions important for :
1. Performance measurement
2. Defining business strategy
3
2 ways to get competitive advantages
Cost of leadership (reducing
operation overall costs)
Differentiation (Variety,
Quality, Time)
4
Operation Management could help to
 Making operational
trade offs
5
Operation Management could help to
 Overcome
inefficiencies
6
Operation Management could help to
 Evaluate
proposed
redesigned/
new idea or
technology
7
8
9
Process Analysis
 Flow rate (throughput)
 Flow time
 Inventory
 Processing time
 Capacity: m/processing time
 Bottleneck
 Process capacity
 Utilization: Flow rate/ Capacity
10
11
Process Analysis (cont.)
 Processing time
 Capacity: m/processing time
 Bottleneck
 Process capacity
 Utilization: Flow rate/ Capacity
12
Labor productivity measure
 Capacity
 Cycle time
 Direct labor content
 Idle time
 AVG labor utilization
 Cost of direct labor
13
Little’s law
 Inventory=Flow
rate*Flow time
 Inventory turns=
COGS/inventory
 Per unit
inventory cost
14
5 Reasons to for inventory
 Pipe line inventory: min inventory to get output
 Seasonal inventory: for seasonal variation
 Cycle inventory: economics of scale
 Safety inventory: Buffer against demand
 Decoupling inventory/buffer inventory: buffer between several steps
Buffer or suffer
15
Produce/ Process matrix
16
Produce/ Process matrix
17
Make to Order or Make to Stock
 Make to order: (product waits for customer)
 Scale of economies in production
 Rapid fulfillment
Make to Stock: (customer waits for product)
 Fresh preparation
 Allow for more customization
 Produce exactly in demanded quantity
18
Productivity
 Output of units produced/ input
used
 Productivity= Output/
(capital$+labor$+material$+service
$+energy$)
 Inefficiency: or waste is the distance
between your operational
performance and efficient frontier.
 https://www.youtube.com/watch?
v=Aw7A2LPE3lA
19
Sources of waste
 Overproduction: to produce sooner of greater.
 Over produced need to be stored (inventory)
 Bad for inventory turns
 Product become obsolete
 Transportation: unnecessary movement of parts or people between process
 Result of poor layout of the system
 Create handling damages or cause production delay
 Need to relocate resources
20
Sources of waste (cont.)
 Rework: Repeat or correcting of a process because of quality problems
 Failure to meet (do it right the first time)
 Can be caused by methods, material, machine or manpower
 Require additional resources so that normal production is disrupted
 Need analysis and solve root cause
 Over processing: processing beyond customer required
 May result from internal standards that don’t reflect customer requirement
21
Sources of waste (cont.)
 Motion: unnecessary movement of parts within work space
 Result for poor workstation design/ layout
 Arrange people and part around the stations and work content that has been
standardized to minimize motion
 Inventory: number of flow unit in the system
 Raw material , WIP or finished products.
 Increase inventory costs, bad for inventory turn
 Often require real state or storage space
22
Sources of waste (cont.)
 Waiting: under utilizing people or parts while a process complete a work
cycle
 Decrease labor utilization
 Waiting for customer (long flow time)
 Waiting for resource (Idle time)
23
Productivity example
24
Activity time 47 Sec/cust 47 42.3
Demand rate 100 Cust/hour 100 100
Avg rate per customer 6 $/cust 6 6
Avg food cost per customer 1.5 $/cust 1.35 1.5
Staff 4 4 4
Wages 15 $/H 15 15
Fix cost 250 $/H 250 250
Process capacity 76.59574 76.59574 85.10638
Flow rate 76.59574 76.59574 85.10638
Revenue 459.5745 459.5745 510.6383
COGs 114.8936 103.4043 127.6596
Staffing 60 60 60
Fixed costs 250 250 250
Profit 34.68085 46.17021 72.97872
KPI Tree
 Tool to understand the relationship between operation and financial
impact
 The starting point for sensitivity analysis that identify operational variables
that yields the biggest financial improvement
25
KPI tree and sensitivity analysis
26
Overall Equipment Effectiveness
 The fraction of time that resources adding true value
27
Line balancing
 Is sharing work equally among resources and the process, scaling up
process capacity as demand fluctuation or to overcome bottle neck
 Line balancing and staffing to demand (Example)
 Volume flexibility
28
Variety
Fit based
Variety
Performance
Variety
Taste based
Variety
29
Setup time: is to change
configuration between batches
Batches: collection of flow units
made between 2 setups
30
Time/ Responsiveness
 Pooling
 Sequencing
 FIFO, or first in first served
 Easy to implement
 Perceived fairness
 Lowest variance to waiting time
 Sequence based on importance
 Emergency cases
 Identify profitable flow units
31
 Shortest processing time rule
 Minimizing AVG waiting time
 Problem of having true processing time
32
Quality
Capability
analysis
Conformance
analysis
Investigating
Assignable
cause
Eliminate
Assignable
cause
33
Statistical process control
Ishikawa Diagram (Cause and Effect)
34
Thank You
35

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operation presentation

  • 2. What is Operation Management  is an area of management concerned with overseeing, designing, and controlling the process of production and redesigning business operations in the production of goods or services. 2
  • 3. Operation Management Dimension of performance  Time (responsiveness)  Variety  Quality  Cost (effectives) These dimensions important for : 1. Performance measurement 2. Defining business strategy 3
  • 4. 2 ways to get competitive advantages Cost of leadership (reducing operation overall costs) Differentiation (Variety, Quality, Time) 4
  • 5. Operation Management could help to  Making operational trade offs 5
  • 6. Operation Management could help to  Overcome inefficiencies 6
  • 7. Operation Management could help to  Evaluate proposed redesigned/ new idea or technology 7
  • 8. 8
  • 9. 9
  • 10. Process Analysis  Flow rate (throughput)  Flow time  Inventory  Processing time  Capacity: m/processing time  Bottleneck  Process capacity  Utilization: Flow rate/ Capacity 10
  • 11. 11
  • 12. Process Analysis (cont.)  Processing time  Capacity: m/processing time  Bottleneck  Process capacity  Utilization: Flow rate/ Capacity 12
  • 13. Labor productivity measure  Capacity  Cycle time  Direct labor content  Idle time  AVG labor utilization  Cost of direct labor 13
  • 14. Little’s law  Inventory=Flow rate*Flow time  Inventory turns= COGS/inventory  Per unit inventory cost 14
  • 15. 5 Reasons to for inventory  Pipe line inventory: min inventory to get output  Seasonal inventory: for seasonal variation  Cycle inventory: economics of scale  Safety inventory: Buffer against demand  Decoupling inventory/buffer inventory: buffer between several steps Buffer or suffer 15
  • 18. Make to Order or Make to Stock  Make to order: (product waits for customer)  Scale of economies in production  Rapid fulfillment Make to Stock: (customer waits for product)  Fresh preparation  Allow for more customization  Produce exactly in demanded quantity 18
  • 19. Productivity  Output of units produced/ input used  Productivity= Output/ (capital$+labor$+material$+service $+energy$)  Inefficiency: or waste is the distance between your operational performance and efficient frontier.  https://www.youtube.com/watch? v=Aw7A2LPE3lA 19
  • 20. Sources of waste  Overproduction: to produce sooner of greater.  Over produced need to be stored (inventory)  Bad for inventory turns  Product become obsolete  Transportation: unnecessary movement of parts or people between process  Result of poor layout of the system  Create handling damages or cause production delay  Need to relocate resources 20
  • 21. Sources of waste (cont.)  Rework: Repeat or correcting of a process because of quality problems  Failure to meet (do it right the first time)  Can be caused by methods, material, machine or manpower  Require additional resources so that normal production is disrupted  Need analysis and solve root cause  Over processing: processing beyond customer required  May result from internal standards that don’t reflect customer requirement 21
  • 22. Sources of waste (cont.)  Motion: unnecessary movement of parts within work space  Result for poor workstation design/ layout  Arrange people and part around the stations and work content that has been standardized to minimize motion  Inventory: number of flow unit in the system  Raw material , WIP or finished products.  Increase inventory costs, bad for inventory turn  Often require real state or storage space 22
  • 23. Sources of waste (cont.)  Waiting: under utilizing people or parts while a process complete a work cycle  Decrease labor utilization  Waiting for customer (long flow time)  Waiting for resource (Idle time) 23
  • 24. Productivity example 24 Activity time 47 Sec/cust 47 42.3 Demand rate 100 Cust/hour 100 100 Avg rate per customer 6 $/cust 6 6 Avg food cost per customer 1.5 $/cust 1.35 1.5 Staff 4 4 4 Wages 15 $/H 15 15 Fix cost 250 $/H 250 250 Process capacity 76.59574 76.59574 85.10638 Flow rate 76.59574 76.59574 85.10638 Revenue 459.5745 459.5745 510.6383 COGs 114.8936 103.4043 127.6596 Staffing 60 60 60 Fixed costs 250 250 250 Profit 34.68085 46.17021 72.97872
  • 25. KPI Tree  Tool to understand the relationship between operation and financial impact  The starting point for sensitivity analysis that identify operational variables that yields the biggest financial improvement 25
  • 26. KPI tree and sensitivity analysis 26
  • 27. Overall Equipment Effectiveness  The fraction of time that resources adding true value 27
  • 28. Line balancing  Is sharing work equally among resources and the process, scaling up process capacity as demand fluctuation or to overcome bottle neck  Line balancing and staffing to demand (Example)  Volume flexibility 28
  • 30. Setup time: is to change configuration between batches Batches: collection of flow units made between 2 setups 30
  • 31. Time/ Responsiveness  Pooling  Sequencing  FIFO, or first in first served  Easy to implement  Perceived fairness  Lowest variance to waiting time  Sequence based on importance  Emergency cases  Identify profitable flow units 31
  • 32.  Shortest processing time rule  Minimizing AVG waiting time  Problem of having true processing time 32
  • 34. Ishikawa Diagram (Cause and Effect) 34