A PROTO:87 quality score for rolling stock
It is customary that FREMO groups keep inventory of engines and cars. The main reason being that each piece of rolling stock needs to have a unique number. This is not only true to the prototype but also avoids confusion during operating sessions. When a member wants to register a newly acquired model, he emails the particular number to the list keeper.
The list keeper of the FREMO:87 group recently changed and the new admin suggested a few additional data sets including a quality score to added to the list.
Introducing a quality score
This quality score, which is assigned by the rolling stock owners themselves, is supposed to encourage the continued improvement of models and has three levels:
- Ready to run model with spring-loaded buffers, PROTO:87 wheels and original coupler
- Ready to run model with details such as wire grab handles or etched steps
- Ready to run model with etched axle holders, brake lines and cylinders or brass model kit
I think introducing a quality score is a great idea but I am not sure if three levels are enough to accurately represent the varying degrees of detailing.
My proposed scoring system
Instead, I am proposing a 10 point system in which a point is awarded for each addition.
- Spring-loaded buffers, basic PROTO:87 wheels, unique number and original couplers (the bare minimum)
- Brake hose
- Etched or wire grab handles
- Cast or echted steps
- Brake lines and cylinder
- Brake shoes with hanging gear
- Etched axle holders with cast bearings or scale bogie/truck
- Scale frame
- PROTO:87 wheels with prototypical wheel contour
- Weathering
Looking at my current PIKO Tds926 project it would score six out of ten once it is weathered. A fully assembled and weathered brass kit would most likely score ten out of ten.
Summary
I think my system has three distinct advantages:
- It makes less of a distinction between ready to run models that have been supered and complete brass kits.
- It focuses more on the effort of the modeler who spend a considerable amount of time and money on detailing their rolling stock.
- It is flexible and can be easily adapted because it doesn’t try to categorize models by attributes.
Your turn
What do you think about my system? Do you have suggestions for improvement? I am looking forward to your comments.



