You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 superstore
【Schema】
# Table: south_superstore
[
(Row ID:INTEGER, Primary Key, Examples: [10343, 10344, 10345]),
(Order ID:TEXT, Examples: [CA-2011-106054, CA-2011-167199, CA-2011-149020]),
(Order Date:DATE, Examples: [2013-01-06]),
(Ship Date:DATE, Examples: [2013-01-07]),
(Ship Mode:TEXT, Examples: [First Class, Standard Class, Second Class]),
(Customer ID:TEXT, Examples: [JO-15145, ME-17320, AJ-10780]),
(Region:TEXT, Examples: [South]),
(Product ID:TEXT, Examples: [OFF-AR-10002399, FUR-CH-10004063, OFF-BI-10004632]),
(Sales:REAL, Examples: [12.78, 2573.82, 609.98]),
(Quantity:INTEGER, Examples: [3, 9, 2]),
(Discount:REAL, Examples: [0.0, 0.7, 0.2]),
(Profit:REAL, Examples: [5.2398, 746.4078, 274.491])
]
# Table: people
[
(Customer ID:TEXT, Primary Key, Examples: [AA-10315, AA-10375, AA-10480]),
(Customer Name:TEXT, Examples: [Alex Avila, Allen Armold, Andrew Allen]),
(Segment:TEXT, Examples: [Consumer, Home Office, Corporate]),
(Country:TEXT, Examples: [United States]),
(City:TEXT, Examples: [Round Rock, Omaha, Springfield]),
(State:TEXT, Examples: [Texas, Nebraska, Missouri]),
(Postal Code:INTEGER, Examples: [78664, 68104, 65807]),
(Region:TEXT, Primary Key, Examples: [Central, East, West])
]
# Table: west_superstore
[
(Row ID:INTEGER, Primary Key, Examples: [13583, 13584, 13585]),
(Order ID:TEXT, Examples: [CA-2011-130813, CA-2011-157147, CA-2011-123477]),
(Order Date:DATE, Examples: [2013-01-06]),
(Ship Date:DATE, Examples: [2013-01-08]),
(Ship Mode:TEXT, Examples: [Second Class, Standard Class, First Class]),
(Customer ID:TEXT, Examples: [LS-17230, BD-11605, DW-13195]),
(Region:TEXT, Examples: [West]),
(Product ID:TEXT, Examples: [OFF-PA-10002005, OFF-ST-10000078, FUR-BO-10003034]),
(Sales:REAL, Examples: [19.44, 1325.85, 333.999]),
(Quantity:INTEGER, Examples: [3, 5, 4]),
(Discount:REAL, Examples: [0.0, 0.15, 0.2]),
(Profit:REAL, Examples: [9.3312, 238.653, 3.9294])
]
# Table: east_superstore
[
(Row ID:INTEGER, Primary Key, Examples: [4647, 4648, 4649]),
(Order ID:TEXT, Examples: [CA-2011-141817, CA-2011-130092, CA-2011-118192]),
(Order Date:DATE, Examples: [2013-01-05]),
(Ship Date:DATE, Examples: [2013-01-12]),
(Ship Mode:TEXT, Examples: [Standard Class, First Class, Second Class]),
(Customer ID:TEXT, Examples: [MB-18085, SV-20365, MM-17920]),
(Region:TEXT, Examples: [East]),
(Product ID:TEXT, Examples: [OFF-AR-10003478, FUR-FU-10000010, OFF-PA-10002947]),
(Sales:REAL, Examples: [19.536, 9.94, 37.408]),
(Quantity:INTEGER, Examples: [3, 2, 7]),
(Discount:REAL, Examples: [0.2, 0.0, 0.7]),
(Profit:REAL, Examples: [4.884, 3.0814, 13.0928])
]
# Table: central_superstore
[
(Row ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Order ID:TEXT, Examples: [CA-2011-103800, CA-2011-112326, CA-2011-105417]),
(Order Date:DATE, Examples: [2013-01-03]),
(Ship Date:DATE, Examples: [2013-01-07]),
(Ship Mode:TEXT, Examples: [Standard Class, First Class, Second Class]),
(Customer ID:TEXT, Examples: [DP-13000, PO-19195, VS-21820]),
(Region:TEXT, Examples: [Central]),
(Product ID:TEXT, Examples: [OFF-PA-10000174, OFF-LA-10003223, OFF-ST-10002743]),
(Sales:REAL, Examples: [16.448, 11.784, 272.736]),
(Quantity:INTEGER, Examples: [2, 3, 7]),
(Discount:REAL, Examples: [0.2, 0.8, 0.6]),
(Profit:REAL, Examples: [5.5512, 4.2717, -64.7748])
]
# Table: product
[
(Product ID:TEXT, Primary Key, Examples: [FUR-BO-10000112, FUR-BO-10000330, FUR-BO-10000362]),
(Product Name:TEXT),
(Category:TEXT, Examples: [Furniture, Office Supplies, Technology]),
(Sub-Category:TEXT, Examples: [Bookcases, Chairs, Furnishings]),
(Region:TEXT, Primary Key, Examples: [Central, South, West])
]
【Foreign keys】
south_superstore.Customer ID=people.Customer ID
south_superstore.Region=people.Region
south_superstore.Product ID=product.Product ID
south_superstore.Region=product.Region
west_superstore.Customer ID=people.Customer ID
west_superstore.Region=people.Region
west_superstore.Product ID=product.Product ID
west_superstore.Region=product.Region
east_superstore.Customer ID=people.Customer ID
east_superstore.Region=people.Region
east_superstore.Product ID=product.Product ID
east_superstore.Region=product.Region
central_superstore.Customer ID=people.Customer ID
central_superstore.Region=people.Region
central_superstore.Product ID=product.Product ID
central_superstore.Region=product.Region

    【Question】
    Which order of Logitech G600 MMO Gaming Mouse has the highest total cost? Logitech G600 MMO Gaming Mouse refers to "Product Name"; highest total cost refers to MAX(SUTRACT(MULTIPLY(DIVIDE(Sales, SUTRACT(1, discount)), Quantity), Profit))

    【Evidence】
    Logitech G600 MMO Gaming Mouse refers to "Product Name"; highest total cost refers to MAX(SUTRACT(MULTIPLY(DIVIDE(Sales, SUTRACT(1, discount)), Quantity), Profit))

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T1.`Order ID` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'Logitech G600 MMO Gaming Mouse' GROUP BY T1.`Order ID` ORDER BY SUM((T1.Sales / (1 - T1.Discount)) * T1.Quantity - T1.Profit) DESC LIMIT 1