Dear Lists,
Here are my latest posts on retrenching and locating facilities better. Do
you have anything in academic papers that use data mining- analytics for

1) Better Employee ROI quantitative measurement or cutting costs rationally
based on data rather across the board.

2) Locating facilities based on pure quant based approaches than local
supply demand conditions.

Specific application for your respective softwares on this on actual
packages or modules used or a case study.

The original posts are available at www.decisionstats.com . Apologize for
the unsolicited email.

Regards,

Ajay

---------- Forwarded message ----------
From: DecisionStats <ohri2007@gmail.com>
Date: Sat, Oct 25, 2008 at 8:28 PM
Subject: Decision Stats
To: ohri2007@gmail.com


   Decision Stats <http://www.decisionstats.com>

Cutting Employee Costs not
Employees.<http://feeds.feedburner.com/~r/DecisionStats/~3/431922289/>

Posted: 25 Oct 2008 09:25 AM CDT







   - use more contractors. use company alumni rather than out of town
   contractors as this saves the time for them to get up to speed.



   - use more skype rather than phones. get over the headphones discomfort.
   It is better than the unemployment discomfort.



   - use more WebEX meetings than flying people around. Money you save for
   your company will help you in retaining others, and yourselves. Most of the
   airlines money goes to the foreign oil providers anyways.



   - shop for cheaper open source software than blindly approve annual
   license fees.  this can save you more money than you think and is less
   complex. Dont go for 100 % either -or solution. Example replace 20 % of your
   desktops with open office , rather than microsoft office renewals.



   - use more variable linked bonus than flat fees for salaries. this
   helps separates the grain from the chaff. And improve revenue and cut costs
   rather than employees.





Each unemployed person is a drag on the economy that will take social
security that YOU will pay anyways. Employed people spend money on groceries
, movies and provide even more jobs or potential markets.



Mahatma Gandhi once said - Be Indian , Buy Indian. It helped India get rid
of the British Empire.

Once in a while, think about paying a small premium for being American ,
buying American

<http://feeds.feedburner.com/~a/DecisionStats?a=Q2eyXl>

A Framework for
Diners<http://feeds.feedburner.com/~r/DecisionStats/~3/431922290/>

Posted: 25 Oct 2008 08:48 AM CDT
I thought of opening my own diner, but how to decide where to locate it ?
Note this is a generic model that can also be used to things like shopping
malls, or even an service dealership , or any facility that is dependent on
nearby population density.
 Here is the approach and it is called Ohri Dhaba  Framework (in case you
wish to use it, as I have the copyright ,thank you")-
 1) Take Google Earth or Any GIS data for mapping specific zones of City.
2) Use Market Research to get population density , income levels , ethnic
preferences, age range , as well as probable customers for that kind of
food/service/mall.
3) Use a KML (thats Google Earth format) parser to recover longitude and
latitude of centroids of zones .
4) Add additional columns in each zone like other facilties like that (other
malls in area)
5) Keep a shortlist of existing as well proposed new sites.
6) Make two circles for 3 km and 10 km penetration of the service from the
existing sites and proposed sites.
7) using radius formula convert longitude and latitude to distance in km
8) Convert each site area into a mix of zonal areas (as in area1_3km = zone
1*A1 +zone2*A2…)
9) run regression on known sites ( whose customers are known) to get
eventual customers , error terms and coefficients of additional columns in
step 4
10) project probable customers of proposed sites.
11) Use feedback loop for changing time validation or percentage error term.
 This is a framework for locating location sites using rules rather than gut
instinct or pricing dynamics, etc. I am not sure how existing diners ,auto
dealerships choose locations but that is more of perceived demand for new
sites, and load on existing facilities rather than scientific. This may or
maynot be patentable, as someone like X mart may have already built a
facilty locating algorithm., but no framework exists to my knowledge.To the
best of my knowledge there are many tools that help you locate a site, but
no framework as such.

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-- 
Regards,

Ajay Ohri
http://tinyurl.com/liajayohri

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