What is the main points from the UPS case?
Wanted to create are more efficient tool for planning their routes
- change management was crucical
- Had issues with the data accuracy
- Difference between model optimal routes and practical solutions
What does the UPS case have in common with you case?
Data not accurate enough → NatMilk needs to find out how long the pipelines should be.
Internal resistance to change.
What is the overall purpose of ORION according to Pidd (1999)
o ORION is somewhere between decision automation and routine decision support → The driver may still have the final action. The intention of ORION is to automatize the route for the drivers (so very little interactions of the drivers is necessary)
ORION is used frequently and uses a huge amount of data.
Can ORION and the UPS case be identified as a mess?
o It is a mess: A range of problems and uncertainty because the problem formulation is not clear → they want to minimize distance, but they don’t know what the distances are and they have a hard time defining the constraints.
maybe not ONLY minimize distance but also construct routes that are consistent
What problem structuring method is used in the UPS case?
o Dissolving:
Solving → used in the vehicle problem and TSPTW.
Resolve → need to change the way data is being collected
Clinical approach and research approach are used together → design approach
What is the B-Kay Tech case concerning?
What is the similarities between the B-Kay Tech case and you case?
How is the 6 principled suggested by Pidd 1999 seen in the B-Kay Tech case?
o Pidd(1999) - principle 3: To collaborate both companies need to modify their replenishment system
o Pidd (199) - principle 5: Make their own data since they find out that the data they use are not accurate enough.
How can the B-Kay tech case be identified as a mess according to Rosenhead?
What problem structuring method is used in the B-Kay Tech case?