The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
The goal of npdsim is to simulate the demand for ready to launch new products over their life cycle, and to simulate their attributes. The generated data will help you test and compare your new product demand forecasting approaches.
The simulation of demand is based on the idea that each product has a demand level and a demand shape where level is the cumulative demand of the product over a specific number of time periods (the number of time periods is set by the user), and shape is the normalized demand over those periods. The attributes of each product are assumed to be linked to its shape and level.
You can install the development version of npdsim from GitHub with:
# install.packages("pak")
::pak("mohammedhichame/npdsim") pak
This is a basic example which shows you how to simulate the demand and attributes for 200 products:
library(npdsim)
<- npd_data_sim(products_number=200,
npd_data1 periods_number=40,
shape_number=7,
level_number=30)
str(npd_data1)
#> 'data.frame': 8000 obs. of 13 variables:
#> $ product_id : int 1 1 1 1 1 1 1 1 1 1 ...
#> $ time : num 1 2 3 4 5 6 7 8 9 10 ...
#> $ demand : num 8 18 22 27 32 43 50 56 72 78 ...
#> $ attribute10: num 0.224 0.224 0.224 0.224 0.224 ...
#> $ attribute8 : num 0.924 0.924 0.924 0.924 0.924 ...
#> $ attribute1 : num 0.0923 0.0923 0.0923 0.0923 0.0923 ...
#> $ attribute5 : num 0.393 0.393 0.393 0.393 0.393 ...
#> $ attribute6 : num 0.74 0.74 0.74 0.74 0.74 ...
#> $ attribute4 : num 0.594 0.594 0.594 0.594 0.594 ...
#> $ attribute7 : num 0.618 0.618 0.618 0.618 0.618 ...
#> $ attribute3 : num 0.282 0.282 0.282 0.282 0.282 ...
#> $ attribute2 : num 0.368 0.368 0.368 0.368 0.368 ...
#> $ attribute9 : num 0.335 0.335 0.335 0.335 0.335 ...
We show below, the plots of demand for the products with product_id=1,2,…,5:
You can also generate the demand over only the introduction and growth phases of products. For example :
<- npd_data_sim(products_number=200,
npd_data2 periods_number=40,
shape_number=7,
level_number=30,
shape_type="intro & growth")
We can also only simulate the demand or attributes of products using
the functions demand_sim
or attribute_sim_dep
(or also attribute_sim_ind
).
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.