Optimal Age For Equipment Replacement

This site is a part of the JavaScript E-labs learning objects for decision making. Other JavaScript in this series are categorized under different areas of applications in the MENU section on this page.

Professor Hossein Arsham

The performance of almost everything declines with age such as machines. Although a routine maintenance can keep the equipment working efficiently, but there comes a point when the repairs are too expensive and it is less expensive to buy a replacement.

This JavaScript computes the best time to replace equipment, and provides the average cost during its usage.

Enter up-to-28 pairs of (Resale value, and the Running cost in previous period) starting from age 0. For the first column, that is, for age zero, the "resale value" is the price, and its "running cost" is always equal to zero. After entering the data correctly, then click the Calculate button. Blank boxes are not included in the calculations but zeros are.

In entering your data to move from cell to cell in the data-matrix use the Tab key not arrow or enter keys.

To edit your data, including add/change/delete, you do not have to click on the "clear" button, and re-enter your data all over again. You may simply add a pair of numbers to any blank cells, change a number to another in the same cell, or delete a number from a cell. After editing, then click the "calculate" button.

For extensive edit or to use the JavaScript for a new set of data, then use the "clear" button.

Age of Equipment 0 1 2 3 4 5 6 7 8 9 10 11 12 13
$ Resale Value
$ Running cost in Previous Year
Age of Equipment 14 15 16 17 18 19 20 21 22 23 24 25 26 27
$ Resale Value
$ Running cost in Previous Year
The Replacement Optimal Age and Its Average Cost:

For Technical Details, Back to:Decision Making in Economics and Finance

Kindly email your comments to:Professor Hossein Arsham

MENU

Decision Tools in Economics & Finance

  • ABC Inventory Classification
  • Autoregressive Time Series
  • Beta and Covariance Computations
  • Bivariate Discrete Distributions
  • Break-Even Analysis and Forecasting
  • Categorized Probabilistic, and Statistical Tools
  • Detecting Trend & Autocrrelation
  • Determination of the Outliers
  • Forecasting by Smoothing
  • Inventory Control Models
  • Linear Optimization Solvers to Download
  • Linear Optimization with Sensitivity
  • Maths of Money: Compound Interest Analysis
  • Matrix Algebra, and Markov Chains
  • Mean, and Variance Estimations
  • Measuring Forecast Accuracy
  • Other Polynomial Regressions
  • Optimal Age for Replacement
  • Parametric System of Linear Equations
  • Performance Measures for Portfolios
  • Plot of a Time Series
  • Predictions by Regression
  • Proportion Estimation
  • Quadratic Regression
  • Regression Modeling
  • Seasonal Index
  • Single-period Inventory Analysis
  • Summarize Your Data
  • System of Equations, and Matrix Inversion
  • Test for Random Fluctuations
  • Test for Seasonality
  • Test for Stationary Time Series
  • Time Series' Statistics
Probabilistic Modeling

  • Bayesian Inference for the Mean
  • Bayes' Revised Probability
  • Bivariate Discrete Distributions
  • Comparing Two Random Variables
  • Decision Making Under Uncertainty
  • Determination of Utility Function
  • Making Risky Decisions
  • Measure the Quality of Your Decision
  • Multinomial Distributions
  • Two-Person Zero-Sum Games

Statistics

  • Analysis of Covariance
  • ANOVA for Condensed Data Sets
  • ANOVA for Dependent Populations
  • ANOVA: Testing the Means
  • Bayesian Statistical Inference
  • Bivariate Sampling Statistics
  • Chi-square Test for Relationship
  • Compatibility of Multi-Counts
  • Confidence Intervals for Two Populations
  • Descriptive Statistics
  • Determination of the Outliers
  • Empirical Distribution Function
  • Equality of Multi-variances
  • Estimations With Confidence
  • Goodness-of-Fit for Discrete Variables
  • Identical Populations Testing
  • Index Numbers with Applications
  • K-S Test for Equality of Two Populations
  • Lilliefors Test for Exponentially
  • Multiple Regressions
  • Percentage: Estimation & Testing
  • Paired Proportion Test
  • Polynomial Regressions
  • Pooling Means, and Variances
  • P-values for the Popular Distributions
  • Quadratic Regression
  • Sample Size Determination
  • Revising the Mean and the Variance
  • Scattered Diagram and the Outliers
  • Simple Linear Regression
  • Subjective Assessment of Estimates
  • Subjectivity in Hypothesis Testing
  • Test for Several Correlation Coefficients
  • Test for Homogeneity of a Population
  • Test for Normality
  • Test for Uniform Distribution
  • Testing Poisson Process
  • Test for Randomness
  • Testing Several Proportions
  • Testing the Mean
  • Testing the Medians
  • Testing the Correlation Coefficient
  • Testing Two Populations
  • Testing the Variance
  • The Before-and-After Test
  • The Other Means
  • Two-Way ANOVA Test
  • Two-Way ANOVA with Replications

The Copyright Statement: The fair use, according to the 1996 Fair Use Guidelines for Educational Multimedia, of materials presented on this Web site is permitted for non-commercial and classroom purposes only. This site may be translated and/or mirrored intact (including these notices), on any server with public access. All files are available at http://home.ubalt.edu/ntsbarsh/Business-stat for mirroring.

Kindly e-mail me your comments, suggestions, and concerns. Thank you. Professor Hossein Arsham

Back to:

Dr Arsham's Home Page

EOF: © 1994-2015.

Tag » How To Calculate Optimum Replacement Interval