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Step 1

• Step 1. Real and Nominal Rates: The nominal rate includes inflation while the real rate does not. In the USA, DevTreks recommends using Office of Management and Budget rates for the same year as the date of the input.

Step 2

• Step 2. Start Date: Earliest starting date of the operation or component. The date is adjusted in the timeliness calculations to the same date as the children machinery inputs (so be careful with input dates).
• Step 2. Labor Available (hours per day): The total hours of labor available each day of the operation or component.
• Step 2. Workday Probability (percent): The percent of days of the operation or component with conditions, such as weather, that allow work to be completed. This number will be divided by 100 in the calculation. (the ASABE reference includes representative workday probabilities)
• Step 2. Timeliness Penalty (percent output loss per day): The percent of output loss per day if an operation or component is not completed on time. This number will be divided by 100 in the calculation. An additional penalty (plus or minus) can be added when losses change significantly for later operations or components. (the ASABE reference includes representative penalties)
• Step 2. Timeliness Penalty Days From Start Date (number of days): The number of days (i.e. 35) from the Start Date of an operation or component when the timeliness penalty starts.
• Step 2. Additional Timeliness Penalty and Additional Days: These two numbers will be added to their respective first penalties to derive an additional penalty.
• Step 2. Timeliness Penalty Output Name: The name of the output to use for the timeliness penalty. Note that, when this operation/component is added to a budget, the budget's actual outputs will be substituted for these outputs. The substitution will either look for an output with the same name (i.e. corn) or choose the output with the highest revenue. Keep the output naming conventions simple.
• Step 2. Timeliness Penalty Output Unit: The unit of the output to use for the timeliness penalty. Note that units must be consistent among the inputs, operations and components (i.e. metric, hours per acre).
• Step 2. Timeliness Penalty Output Price Per Unit: The price per unit of the output to use for the timeliness penalty.
• Step 2. Timeliness Penalty Output Yield: The yield of the output to use for the timeliness penalty.
• Step 2. Timeliness Penalty Composition Amount and Unit: Composition of output, generally used for livestock (i.e. 100 head of cattle).
• Step 2. Timeliness Penalty Output Times: Number of times this yield of output is harvested (can also be used as a general multiplier).

Step 3

• Step 3. Use Same Calculator Pack In Descendants?: True to insert or update this same calculator in children.
• Step 3. Overwrite Descendants?: True to insert or update all of the attributes of this same calculator in all children. False only updates children attributes that are controlled by the developer of this calculator (i.e. version, stylehsheet name, relatedcalculatorstype ...)
• Step 3. What If Tag Name: Instructional videos explaining the use of what-if scenario calculations should be viewed before changing or using this parameter.
• Step 3. Related Calculators Type: When the Use Same Calculator Pack in Descendant is true, uses this value to determine which descendant calculator to update. Inserts a new descendant when no descendant has this same name. Updates the descendant that has this same name.
• Step 3. Operation or Component Timeliness Penalty, Operating, and Allocated Overhead Costs: These numbers do not appear when running calculations at the group level. The timeliness penalty is calculated using yield losses alone. The operating and allocated overhead cost calculations do not include the timeliness penalty. Add the two numbers together to get the full operation or component cost. Further explanation of timeliness penalties can be found in the references below.

References

• American Society of Agricultural and Biological Engineers, ASAE D497.7 MAR2011 Agricultural Machinery Management Data
• American Society of Agricultural and Biological Engineers, ASAE EP496.3 FEB2006 (R2011) Agricultural Machinery Management
• John Siemens, University of Illinois User Guide Farm Machinery and Selection Program, Version S10, 1988 ( http://devtreks.cloudapp.net/commontreks/preview/commons/resourcepack/DevTreks%20Machinery%20Costs/437/none ) (last accessed 2012-04-05
• William Edwards. Iowa State University Farm Machinery Selection, File A3-28, www.extension.iastate.edu/agdm (last accessed February, 2012)
• Hallam, Eidman, Morehart and Klonsky (editors) Commodity Cost and Returns Estimation Handbook, Staff General Research Papers, Iowa State University, Department of Economics, 1999