NonHomogeneousPoissonAgeReplacementPolicy

class assetlife.policies.NonHomogeneousPoissonAgeReplacementPolicy(baseline)

Age replacement policy for non-homogeneous Poisson processes.

Parameters:

baselineNonHomogeneousPoissonProcess

Underlying non-homogeneous Poisson process.

Methods

asymptotic_expected_equivalent_annual_cost	The asymptotic expected equivalent annual cost.
asymptotic_expected_net_present_value	The asymptotic expected net present value.
compute_optimal_ar	Compute the optimal ages of replacement.
expected_equivalent_annual_cost	The expected equivalent annual cost.
expected_net_present_value	The expected net present value.

asymptotic_expected_equivalent_annual_cost(*, ar, a0=None, discounting_rate=0.0, **costs)

The asymptotic expected equivalent annual cost.

\[\lim_{t\to\infty} q(t)\]

Parameters:

arfloat or 1d array

Preventive ages of replacement.

a0float or 1d array, optional

Initial ages of the assets.

discounting_ratefloat, default is 0.

The discounting rate used for cost computations.

**costsfloats or 1d arrays

Required costs, such as cp, cf and/or cr.

Returns:

ndarray

The asymptotic expected values.

asymptotic_expected_net_present_value(*, ar, a0=None, discounting_rate=0.0, **costs)

The asymptotic expected net present value.

\[\lim_{t\to\infty} z(t)\]

Parameters:

arfloat or 1d array

Preventive ages of replacement.

a0float or 1d array, optional

Initial ages of the assets.

discounting_ratefloat, default is 0.

The discounting rate used for cost computations.

**costsfloats or 1d arrays

Required costs, such as cp, cf and/or cr.

Returns:

ndarray

The asymptotic expected values.

compute_optimal_ar(discounting_rate=0.0, **costs)

Compute the optimal ages of replacement.

Parameters:

discounting_ratefloat, default=0.0

The discounting rate used for cost computations.

**costsfloats or 1d arrays

Required costs cr and cp.

Returns:

arfloat or np.ndarray

Optimal ages of replacement.

expected_equivalent_annual_cost(tf, nb_steps, *, ar, a0=None, discounting_rate=0.0, **costs)

The expected equivalent annual cost.

\[q(t) = \dfrac{\delta z(t)}{1 - e^{-\delta t}}\]

where :

• \(t\) is the time.

• \(z(t)\) is the expected net present value at time \(t\).

• \(\delta\) is the discounting rate.

Parameters:

tffloat

The final time.

nb_stepsint

The number of steps used to discretize the time.

arfloat or 1d array

Preventive ages of replacement.

a0float or 1d array, optional

Initial ages of the assets.

discounting_ratefloat, default is 0.

The discounting rate used for cost computations.

**costsfloats or 1d arrays

Required costs, such as cp, cf and/or cr.

Returns:

outtuple of np.ndarray

Timeline and corresponding values.

expected_net_present_value(tf, nb_steps, *, ar, a0=None, discounting_rate=0.0, **costs)

The expected net present value.

\[z(t) = \mathbb{E}(Z_t) = \int_{0}^{\infty}\mathbb{E}(Z_t~|~X_1 = x)dF(x)\]

where :

• \(t\) is the time

• \(X_1 \sim F\) is the random lifetime of the first asset

• \(Z_t\) are the random costs at each time \(t\)

• \(\delta\) is the discounting rate

It is computed by solving the renewal equation.

Parameters:

tffloat

The final time.

nb_stepsint

The number of steps used to discretize the time.

arfloat or 1d array

Preventive ages of replacement.

a0float or 1d array, optional

Initial ages of the assets.

discounting_ratefloat, default is 0.

The discounting rate used for cost computations.

**costsfloats or 1d arrays

Required costs, such as cp, cf and/or cr.

Returns:

outtuple of np.ndarray

Timeline and corresponding values.