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2
asset_based_lending.md
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FCC - fixed charge coverage ratio - looks at cash flow as compared to cash require dto fulfill debt payments
FCC - fixed charge coverage ratio - looks at cash flow as compared to cash require dto fulfill debt payments
SLR - senior debt leverage ratio - senior debt to ebitda

15
bash.md Normal file
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Update PostgreSQL
------------------------------------------------------------------------------------------------------------
wget -q https://www.postgresql.org/media/keys/ACCC4CF8.asc -O - | sudo apt-key add -
sudo sh -c 'echo "deb http://apt.postgresql.org/pub/repos/apt/ `lsb_release -cs`-pgdg main" >> /etc/apt/sources.list.d/pgdg.list'
sudo apt-get update
sudo apt-get install postgres-10
sudo su - postgres
psql

2
marketing.md
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new business startup on $1000 and 90 days [blog](https://medium.com/the-mission/seth-godin-new-business-5-step-fdb354988c23)

38
master_data_nodes.md
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CREATE TABLE mast.node
(
id bigint GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY
,nam text
,sch text
,doc jsonb
)
CREATE TABLE acct.accm
(
id bigint GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY
,nam text
--reference to node ids
--should be limited to certain types of nodes, like location, product line, fsline, perhaps an enum?
,nodes bigint[]
--node attributes pooled here
,doc jsonb
CREATE TABLE mast.node
(
id bigint GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY
,nam text
,sch text
,doc jsonb
)
CREATE TABLE acct.accm
(
id bigint GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY
,nam text
--reference to node ids
--should be limited to certain types of nodes, like location, product line, fsline, perhaps an enum?
,nodes bigint[]
--node attributes pooled here
,doc jsonb
)

58
postgres_features.md
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Version 10 Features
===================
Auto Logging [blog](http://databasedoings.blogspot.com/2017/07/cool-stuff-in-postgresql-10-auto-logging.html)
Transition Tables [blog](http://databasedoings.blogspot.com/2017/07/cool-stuff-in-postgresql-10-transition.html)
Correlated Columns Query Plan [blog](https://blog.2ndquadrant.com/pg-phriday-crazy-correlated-column-crusade/)
Native Partitioning
Logical Replication
Add a version of jsonb's delete operator that takes an array of keys to delete (Magnus Hagander)
Make json_populate_record() and related functions process JSON arrays and objects recursively (Nikita Glukhov)
Identity Columns [blog](https://blog.2ndquadrant.com/postgresql-10-identity-columns/)
Add view pg_hba_file_rules to display the contents of pg_hba.conf (Haribabu Kommi)
Add XMLTABLE function that converts XML-formatted data into a row set (Pavel Stehule, Álvaro Herrera)
Security
===================
LDAP & Active Directory [blog](https://www.openscg.com/2017/07/setting-up-ldap-with-active-directory-in-postgresql/)
Version 10 Features
===================
Auto Logging [blog](http://databasedoings.blogspot.com/2017/07/cool-stuff-in-postgresql-10-auto-logging.html)
Transition Tables [blog](http://databasedoings.blogspot.com/2017/07/cool-stuff-in-postgresql-10-transition.html)
Correlated Columns Query Plan [blog](https://blog.2ndquadrant.com/pg-phriday-crazy-correlated-column-crusade/)
Native Partitioning
Logical Replication
Add a version of jsonb's delete operator that takes an array of keys to delete (Magnus Hagander)
Make json_populate_record() and related functions process JSON arrays and objects recursively (Nikita Glukhov)
Identity Columns [blog](https://blog.2ndquadrant.com/postgresql-10-identity-columns/)
Add view pg_hba_file_rules to display the contents of pg_hba.conf (Haribabu Kommi)
Add XMLTABLE function that converts XML-formatted data into a row set (Pavel Stehule, Álvaro Herrera)
Security
===================
LDAP & Active Directory [blog](https://www.openscg.com/2017/07/setting-up-ldap-with-active-directory-in-postgresql/)
Add SCRAM-SHA-256 support for password negotiation and storage (Michael Paquier, Heikki Linnakangas)

40
price_mix_vol.md
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Only applies to items that exist in both sets of data
**Change in Price**
( P₂ - P₁ ) Q₂
**Change in Quantity**
( Q₂ - Q₁ ) P₁
_To further break out change in quantity_
Change in Quantity - _Volume Related_
Q₂ ( Q₁ / Σ ( Q₁ ) ) - Q₁
Change in Quantity - _Mix Related_
Only applies to items that exist in both sets of data
**Change in Price**
( P₂ - P₁ ) Q₂
**Change in Quantity**
( Q₂ - Q₁ ) P₁
_To further break out change in quantity_
Change in Quantity - _Volume Related_
Q₂ ( Q₁ / Σ ( Q₁ ) ) - Q₁
Change in Quantity - _Mix Related_
Q₂ - Q₂ ( Q₁ / Σ ( Q₁ ) )

108
production_scheduling.md
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Logic to setup production plan, inventory balances, purchases, and shipments
Starting point
- known balances STKB
- known available BOLH - not posted
- known prod schedule SOFT
- known shipments Sales Forecast
- forecasted orders Sales Forecast
- machines that a part can run on ??
- actual run-time performance Alternates
- actual BOM performance Alternates
- actual scrap performance Alternates
- available machine time ??
Populate
- forecasted prod schedule
- forecasted on-hand (via forecast perpetual transactions)
- forecasted available (via forecast transactions)
- forecasted purchases
Iterate through each calendar day
1. materialize forecasted purchases
1. update on-hand & available
2. materialize production
1. update on-hand & available
3. materialize transfers
1. update on-hand & available
3. materialize shipments
1. update on-hand & available
4. process forecasted order submissions
1. check for inventory available
1. Yes
1. mark unavailable
2. schedule shipment for request date
2. No or partial
1. mark unavailable any partial
2. schedule on next open slot regardless of request date (each part should be mapped to certain set of machines)
1. raw materials available
1. Yes
1. mark unavailable (at begin prod date?)
2. No
1. mark unavailable any partial (at begin prod date?)
2. schedule a purchase net of lead time
2. sub-components available?
1. Yes
1. mark unavialable (at begin prod date?)
2. No
1. (return to 4.1.2.2)
3. schedule transfer of production after completion if necessary
3. schedule shipment for request date, or production date if past request date
snap-shot STKB
snap-shot BOLH
Logic to setup production plan, inventory balances, purchases, and shipments
Starting point
- known balances STKB
- known available BOLH - not posted
- known prod schedule SOFT
- known shipments Sales Forecast
- forecasted orders Sales Forecast
- machines that a part can run on ??
- actual run-time performance Alternates
- actual BOM performance Alternates
- actual scrap performance Alternates
- available machine time ??
Populate
- forecasted prod schedule
- forecasted on-hand (via forecast perpetual transactions)
- forecasted available (via forecast transactions)
- forecasted purchases
Iterate through each calendar day
1. materialize forecasted purchases
1. update on-hand & available
2. materialize production
1. update on-hand & available
3. materialize transfers
1. update on-hand & available
3. materialize shipments
1. update on-hand & available
4. process forecasted order submissions
1. check for inventory available
1. Yes
1. mark unavailable
2. schedule shipment for request date
2. No or partial
1. mark unavailable any partial
2. schedule on next open slot regardless of request date (each part should be mapped to certain set of machines)
1. raw materials available
1. Yes
1. mark unavailable (at begin prod date?)
2. No
1. mark unavailable any partial (at begin prod date?)
2. schedule a purchase net of lead time
2. sub-components available?
1. Yes
1. mark unavialable (at begin prod date?)
2. No
1. (return to 4.1.2.2)
3. schedule transfer of production after completion if necessary
3. schedule shipment for request date, or production date if past request date
snap-shot STKB
snap-shot BOLH
snap-shot SOFT

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sales_planning.md
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A method to planning sales
----------------------------
## Summary
1. copy history
1. start with open orders
2. add orders as placed in past
1. true-up to current run rate
1. normalize price for current pricing
1. will need to idenitfy blocks in the base period that best represent pricing efforts
2. scale prior periods to match final pricing
2. exclude expired products/customers
3. scale new developments to reflect full-year (new products customers)
4. update cost to current
5. request date attainment performance
3. walk prior period sales to new baseline sales as change in run-rate
2. build in changes to current run-rate
1. volume changes
2. pricing changes
3. new products (must be defined in future at a mininum)
4. future cost changes
5. request date attainment
| timeline | day | running days | responsible |
| -------------------------------------------- | --- | ------------ | ----------- |
| **_establish run-rate sales_** | | | |
| copy history | 1 | 1 | executor |
| identify pricing windows | 1 | 2 | sales team |
| scale windows to match final | 1 | 3 | executor |
| identify expired products/customers | 3 | 6 | sales team |
| eliminate expired volume | 1 | 7 | executor |
| identify new products/customers | 3 | 10 | sales team |
| scale new to full year volume | 1 | 11 | executor |
| **_load new plans_** | | | |
| layer in planned changes not yet implemented | | | |
| identify changes to existing volume | 3 | 14 | sales team |
| load changes | 1 | 15 | executor |
| identify changes in price | 3 | 18 | sales team |
| load changes | 1 | 19 | executor |
| identify new products | 3 | 22 | sales team |
| load new | 1 | 23 | executor |
A method to planning sales
----------------------------
## Summary
1. copy history
1. start with open orders
2. add orders as placed in past
1. true-up to current run rate
1. normalize price for current pricing
1. will need to idenitfy blocks in the base period that best represent pricing efforts
2. scale prior periods to match final pricing
2. exclude expired products/customers
3. scale new developments to reflect full-year (new products customers)
4. update cost to current
5. request date attainment performance
3. walk prior period sales to new baseline sales as change in run-rate
2. build in changes to current run-rate
1. volume changes
2. pricing changes
3. new products (must be defined in future at a mininum)
4. future cost changes
5. request date attainment
| timeline | day | running days | responsible |
| -------------------------------------------- | --- | ------------ | ----------- |
| **_establish run-rate sales_** | | | |
| copy history | 1 | 1 | executor |
| identify pricing windows | 1 | 2 | sales team |
| scale windows to match final | 1 | 3 | executor |
| identify expired products/customers | 3 | 6 | sales team |
| eliminate expired volume | 1 | 7 | executor |
| identify new products/customers | 3 | 10 | sales team |
| scale new to full year volume | 1 | 11 | executor |
| **_load new plans_** | | | |
| layer in planned changes not yet implemented | | | |
| identify changes to existing volume | 3 | 14 | sales team |
| load changes | 1 | 15 | executor |
| identify changes in price | 3 | 18 | sales team |
| load changes | 1 | 19 | executor |
| identify new products | 3 | 22 | sales team |
| load new | 1 | 23 | executor |
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