EAN-139780749460747   EAN-13 barcode 9780749460747
Product NameWarehouse Management: A Complete Guide To Improving Efficiency And Minimizing Costs In The Modern Warehouse
CategoryBook / Magazine / Publication
Short DescriptionHeight:9.21 inches / Length:6.14 inches / Weight:1.16 pounds / Width:0.71 inches
Amazon.comA Buy on Amazon ~ 0749460741
Price New2,128.01 US Dollars    (curriencies)
Price Used45.00 US Dollars    (curriencies)
Width0.8 inches    (convert)
Height9.17 inches    (convert)
Length6.16 inches    (convert)
Weight17.92 ounces    (convert)
AuthorGwynne Richards
Page Count352
FeaturesUsed Book in Good Condition
Long DescriptionWarehouses are an integral part of the modern supply chain, involved in sourcing, producing and distributing goods. However, due to the complexities of warehouse operations they can often be one of the most costly parts of the supply chain. Their efficient management is therefore critical for minimizing cost and contributing to an effective and efficient supply chain.  Warehouse Management provides a complete guide to best practice in warehouse operations. Covering everything from the latest technological advances to current environmental issues, this book provides an indispensable companion to the modern warehouse. Supported by case studies, the text considers many aspects of warehouse management, including:  -cost reduction  -productivity  -people management  -warehouse operations  Backed up with numerous case studies that demonstrate how to apply new technology, minimize spending, and create efficient, stream-lined operations, this book is an invaluable resource for warehouse managers, logistics professionals, operations managers and students of logistics.
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Created11-21-2012 1:55:18pm
Modified05-01-2020 12:31:52am
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Article of interest

Here we will demonstrate the most basic example of importing the CSV data files that we produce on this site into your MySQL database.

For information about various databases you can use and how to import CSV files into them, please view the overview article "Importing CSV data into your database".

For this example, we are going to import the product data CSV file out of the but this same process will work on the full data download file. We will also be executing the commands in the MySQL Workbench but you can also use the command line tool with the same commands if you like.

First, start by creating a blank table. Use the table layout described in the read_me file for the most up-to-date table layout. It is suggested that you not use any indexing at this point. You can add indexes later. It is most likely that you will have your own tables where you want to store your data so importing the CSV files can be done into temporary tables and then later copied over to your tables. Leaving off the indexes and constraints on these import tables reduces the risk of import errors. Here is an example:

create table ean_product
    EAN13             varchar(13),
    UPCA              varchar(12),
    UPCE              varchar(8),
    SKU               varchar(200),
    PriceNew          numeric(15,2),
    PriceUsed         numeric(15,2),
    PriceDate         date,
    company           varchar(13),
    product           varchar(100),
    description       varchar(100),
    category          int,
    url               varchar(500),
    created           datetime,
    modified          datetime

Next we perform the import using the LOAD DATA INFILE command. The path to the file depends on where you saved the data and which operating system you are on. For Windows users you might find your file on the C: drive and Linux users may find your date in your home (~) folder. This example shows a Linux import. Only the path would be different between the operating systems.

    INFILE '~/sample_ean_data/sample_ean_product.csv' 
    INTO TABLE ean_product

Finally, lets look at the data that we just imported.


You may have seen some warnings after the import command. If you are concerned about these warnings, examine the data. It could be that some data has grown beyond the size specified in the read_me file. If you are worried, make the fields larger and try the process again after deleting all of the data out of the table.