Model Optimisation Flashcards

1
Q

What is Optimisation?

A

How do existing stores compare with the optimal stores? i.e. a store in every location

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2
Q

What is the issue with optimisation?

A

Combinational Problem - e.g. want 5 new stores in 100 zones gives 50 mil. solutions - too large for SIMs to compute

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3
Q

What are the two scenarios for optimisation?

A

Ideal Representational Plan (IRP)

Mergers and Acquisitions

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4
Q

How does the IRP work?

A
  1. Create 100 zones and try a store in every zone for max. revenue. Example answer = zone 56
  2. Fix location in 56 and try other 99 locations for next best. E.g. answer = 27
  3. Fix locations 56 and 27 - repeat until have 5 stores
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5
Q

What is the difference between a Full IRP and a Rationalised IRP?

A

Full: maintains all existing no. stores but relocates them to the ideal locations to increase sales and max. revenue

Rationalised: reduces the no. stores to reduce costs whilst maintaining or increasing sales - the ideal locations with the fewest sites

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6
Q

What is the ideal IRP?

A

RATIONALISED - gives the ideal blueprint for growth

However, as more companies get hold of the tech. they can all create their ideal blueprint

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7
Q

What are the 3 optimisation methods for mergers?

A
  1. Pre-merger planning - who’s the optimal partner?
  2. Check competition commission - by acquiring/merging, what’s the impact on local competition?
  3. Post-merger planning - optimising new/combined networks
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8
Q

What went wrong with Barclay’s acquisition of Woolwich in 2000?

A

Acquired for £5.3bn

Barclay’s plan: close any Woolwich store within 100m of existing Barclay’s branches - 100 closures of 400 stores

Sold the 100 off

BUT didn’t research success of Woolwich stores, therefore ended up shutting some of the most successful ones

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9
Q

What did Clarke et al. (2003) create in response to the Barclay’s failure?

A

8 scenario optimisation model for the financial services sector in order to give each town a geographically unique scenario

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10
Q

How can GIS be used to find optimal locations?

A

Location-Allocation Models by finding the optimal supply point and then trying to minimise the euclidean distance - but this method is limited, therefore argue that GIS is not best suited for optimal location (BIRKIN ET AL., 1999)

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