npdsim (version 1.0.0)

npd_data_sim: Simulate the demand and attributes for new products

Description

Simulate the demand and attributes for new products during their life cycle by specifying their life cycle type of shape and providing information about their attributes.

Usage

npd_data_sim(
  products_number,
  periods_number,
  shape_number,
  shape_type = "random",
  level_number,
  level_range = 1000:10000,
  noise_cv = 0.05,
  attribute_type = "ind",
  attributes_number = 10,
  shape_attributes_number = 5,
  level_attributes_number = 3
)

Value

A date frame that contains the following columns: product_id, demand and attributes.

Arguments

products_number

Number of products

periods_number

Number of periods of the introduction and growth phases

shape_number

Number of generic shapes

shape_type

Type of shape to generate. It can take the values: "triangle", "trapezoid", "bass", "random" and "intro & growth". The type "random" picks one of the types "triangle", "trapezoid", "bass" randomly for each product. The type "intro & growth" is used for the shapes of the introduction and growth phases.

level_number

Number of generic levels

level_range

Range of values from which the level is sampled

noise_cv

The coefficient of variation of the noise added to the simulated sales

attribute_type

Type of relationship between attributes and shape and level. There can be independent attributes or dependent attributes. attribute_type takes one of the two values: "dep" and "ind". Check `attribute_sim_dep` and `attribute_sim_dep`.

attributes_number

The number of attributes

shape_attributes_number

The number of attributes assigned to shape

level_attributes_number

The number of attributes assigned to level

Examples

npd_data_sim(products_number=100,
periods_number=30,
shape_number=5,
level_number=20)

npd_data_sim(products_number=100,
periods_number=20,
shape_number=5,
shape_type="bass",
level_number=20,
level_range=1000:10000,
noise_cv=0.05,
attribute_type="ind",
attributes_number=15,
shape_attributes_number=7,
level_attributes_number=5)