| Chapter 2 Profit increase starts with taking action. |
| You too can achieve these results in your factory. |
|
|
| If you are not satisfied with your company's current business performance,
it is worth trying to see what results you can get. |
|
| What did they do to get results?
|
|
|
The companies on the previous page realized "visual management" so as to make a "visible factory", speeded up delivery date quotation for order additions and changes, and also bravely took up the challenge to shorten lead times and reduce inventory, so that they would be able to join the winners of the manufacturing industry in today's harsh business environment.
|
|
|
|
| How did they address the challenge specifically?
|
|
|
They were able to meet the challenge by using a production scheduler called Asprova to computerize production scheduling. Details of their stories are described by Zenjiro Imaoka in the book "Manufacturing Time Into Money" (published in Japanese by The Nikkan Kogyo Shimbun, Ltd.), based on actual interviews with companies that deployed Asprova.
* The descriptions in parentheses on the previous page indicate pages and lines of this book.
|
|
|
|
Now, do you think your factory can also achieve
these brilliant results?
|
|
|
Among the more than 900 Asprova users worldwide, those results are not unusual. However, it is unknown right now as to whether the same results can be achieved in your factory, as products and manufacturing know-how differ between the cited companies and your factory.
|
|
|
|
| Then, how can you know what results you can achieve?
|
|
|
You can determine what level of results you can expect by creating a prototype using actual data of your factory and trying scheduling it.
|
|
|
|
| Is that easy to do?
|
|
|
Yes. You can use the free trial version of Asprova to enter your factory's data and make a schedule. To begin with, you can try with a small amount of data for free. Simply by doing this, your factory will become a "visible factory" and you can roughly visualize the future of your factory. If you would like a more realistic trial using larger-scale data, please let us know. We will fully support you to the best of our ability to help you achieve the above-mentioned results or even greater results.
|
|
|
|
|
|