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Distribution Planning and Inventory Management - Introduction to Operations Management - Lecture Slides, Slides of Production and Operations Management

Distribution Planning and Inventory Management, Distribution Planning, Inventory Management, Raw Material, More Recent Data, Anticipated Variation, Inventory Policy, Relevant Costs, Ordering Cost, Maximum Inventory.These are the important points of Operations Management.

Typology: Slides

2012/2013

Uploaded on 01/01/2013

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Distribution Planning
One last look at shortest paths
Inventory Management
What is it, why keep it, inventory policies
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Distribution Planning

One last look at shortest paths

Inventory Management

What is it, why keep it, inventory policies

Inventory Management (pg. 132)

Inventory = goods that have not yet been sold

  • raw material
  • work-in-process
  • finished goods
  • supplies

Year Total inventory

% of GDP

Total inventory / monthly shipments 95 $52 B 6.7% 1.

Why Keep Inventory?

1. Seasonality (anticipated variation)

2. Provide flexibility (unanticipated

variation) a.k.a.:

3. Economies of scale

4. Price speculation (not an ops reason)

5. Something to work on

6. NDR,JP

Inventory Policy

Answers two general questions

• When to order? (ROP = reorder point)

• How much to order? (Q = reorder quantity)

A&E Noise (VCRs) (pg. 134)

  • Cost: $
  • Price: $
  • Ordering cost: $30/order
  • Holding cost:

0.25 × 150/365 = $0.1/unit-day

  • Inventory policy
    • Order 80 when inventory position ≤ 60
    • Inventory position = inv. on hand + inv. in transit
    • Lead time: 5 days

Order 80 when inventory pos. ≤ 60

Lead time: 5 days

  1. Inventory POSITION includes inventory in transit.
  2. Example 1 - the Distribution Game
  3. Example 2 - Today is 21 Aug. 1997, and there are 50 units in stock. The last two orders were placed on 9 Aug. and 18 Aug. Should Jane order today?

I = 50 + 80 = 130 > 60, do not order today (Aug 18 order in transit)

Finding Good Inventory Policies

  • Approach 1: Simulation
    • We will use historical sales (instead of generating random future sales)
    • We will assume demand = sales (an approximation)
    • Experiment with different values of Q and ROP
  • Approach 2: EOQ + LTD
    • An approximate model
    • Simpler to use
    • More abstract

to ExcelDocsity.com

Acquisition Costs (pg. 142)

  • Total units sold per year ≈

(10.12 VCRs/day)(365 days/year) = 3695 VCRs/year

  • Total acquisition costs per year ≈

($150/VCR)(3695 VCRs/year) = $554,350/year

  • Total acquisition costs per year if order size

were changed to 90 ≈

$554,350 / year Acquisition costs are not affected by inventory policy, as long as demand is satisfied and there are no volume discounts

Time

Inventory

Simulated inventory profile

Time

Inventory

Approximation 1: constant demand

Holding Costs (pg. 143)

  • Minimum inventory ≈ ROP – LTD = 60 VCRs – (5 days)(10.12 VCRs/day) = 9.4 units
  • Maximum inventory ≈ Min. inv. + Q = 9.4 + 80 = 89.4 VCRs
  • Average inventory ≈ (min + max)/2 = (9.4 + 89.4)/2 = 49.4 VCRs
  • Total VCR-years of inventory per year ≈ (49.4 VCRs)(1 year) = 49.4 VCR-years
  • Total holding cost per year ≈ (49.4 VCR-years)($37.5 / VCR / year) = $1852.50 / year

Time

Inventory

Avg. inventory

VCR

2 VCRs

1 year

1 VCR-year of inventory

1 VCR-year of inventory

1 VCR-year of inventory

1 VCR-year of inventory

1 VCR-year of inventory

Total inventory for the year: 5 VCR-years

What is a “VCR-year” of inventory?

3 VCRs

4 VCRs

5 VCRs