Operations
An operation represents an activity: these consume and produce material, take time and also require capacity.
An operation consumes and produces material, modeled through flows.
An operation requires capacity, modeled through loads.
Different operation types exist:
- Models an operation with a duration that is independent of the quantity. A good example is a transport or a procurement operation.
- Models an operation where the duration increases linear with the quantity. A good example is a manufacturing operation where the duration is determined by the production rate of a machine.
- Models a choice between different operations.FrePPLe automatically builds an alternate operation if the same item-location can be replenished in multiple ways: eg multiple operations to produce an item, multiple vendors for an item, multiple source locations for a distribution order, a choice between making the item or purchasing it, etc… Explicitly adding alternate operations in your model is no longer required.
- This operation type plans the demand proportionally over a number of sub-operations, using some pre-defined percentages.
- Models a sequence a number of step sub-operations, to be executed sequentially.
Field |
Type |
Description |
---|---|---|
name |
non-empty string |
Unique name of the operation.
This is the key field and a required attribute.
|
item |
item |
Reference to the item being produced.
We will try to determine the item as the producing records
from the operation-material records: if an operation has
only a single operation-material with a positive quantity
then we use its item as the item of the operation.
Only in exceptional modeling situations should you worry
about setting this field yourself. Eg when an operation
produces multiple items.
|
location |
location |
Location of the operation. The working hours and holidays for the operation are calculated as the intersection of:
Default is null. |
available |
calendar |
A calendar specifying the working hours for the operation. The working hours and holidays for the operation are calculated as the intersection of:
Default is null. |
effective_start |
dateTime |
Date when the operation becomes valid. The value of this field is only used when the item field is populated on the operation. Only then is the operation registered as a replenishment method for the item at this location. |
effective_end |
dateTime |
Date after which the operation becomes invalid. The value of this field is only used when the item field is populated on the operation. Only then is the operation registered as a replenishment method for the item at this location. |
priority |
integer |
Priority of this operation to produce the specified item. This is useful when there are multiple operations producing the same item-location, or the same item-location can also be replenished with purchase orders and/or distribution orders. The value of this field is only used when the item field is populated on the operation. Only then is the operation registered as a replenishment method for the item at this location. When the priority is 0, the operation is not automatically used during planning. Only a planner can manually create manufacturing orders on it. |
description |
string |
Free format description. |
category |
string |
Free format category. |
subcategory |
string |
Free format subcategory. |
fence |
duration |
Time window from the current date of the plan during which all manufacturing orders are expected to be frozen/released. The duration refers to available time (i.e. respecting the working hours and holiday calendars mentioned above). When the ‘FENCE’ constraint is enabled in the solver, it won’t create any new operation plans in this time fence. Only the externally supplied and locked manufacturing orders will then exist in this time window. By default the fence is 0, we can plan operations to be started immediately. |
batchwindow |
duration |
The solver algorithm will scan for opportunities to create batches within this time window before and after the requirement date. By default the batching windows is 0, which disables this feature. |
size_minimum |
positive double |
A minimum quantity for manufacturing orders. A request for a lower, non-zero quantity will be rounded up. This field also influences the alternate choices when multiple operations are available to produce an item. The planning algorithm will try to plan on those alternates where the requirement is between the size_minimum and size_maximum. The default value is 1. |
size_minimum_calendar |
calendar |
A calendar to define the minimum size of manufacturing orders when this value varies over time. The end date of the manufacturing orders determines which date we use as lookup in the calendar. If both the size_minimum and size_minimum_calendar are specified, we use the highest value. |
size_multiple |
positive double |
A multiple quantity for manufacturing orders. |
size_maximum |
positive double |
The maximum quantity for manufacturing orders.
Note that this value limits the size of individual
manufacturing orders. The solver can create multiple manufacturing
orders of this maximum size, so this value does NOT constrain the
total planned quantity on the operation. The field is
useful to break big manufacturing orders in smaller ones.
This field also influences the alternate choices when multiple
operations are available to produce an item. The planning
algorithm will try to plan on those alternates where the
requirement is between the size_minimum and size_maximum.
|
cost |
double |
The cost of executing this operation, per unit of the
operation_plan.
Depending on what the operation models, this
represents transportation costs, manufacturing costs,
procurement costs, delivery costs, etc…
The raw material cost and the resource usage cost are added
to this cost and should not be included in this value.
The default value is 0.
|
posttime |
duration |
A post-operation time, used as a buffer for uncertain
capacity or operation duration.
The solver will try to respect this time as a soft
constraint. Ie when required to meet demand on time the
post-operation time can be violated.
Resources are not loaded during the post-operation time.
This field is used to model time-based safety stock
targets, aka days of inventory. It is then set for the
producing operation of a certain buffer.
If you want to model a safety stock quantity, you can use
the minimum or minimum_calendar fields on the buffer.
|
Operation_fixed_time
Models an operation with a fixed duration regardless of the quantity. E.g. a transport operation.
This is the default operation type.
Field |
Type |
Description |
---|---|---|
duration |
duration |
Duration of the operation.
The default value is 0.
|
Operation_time_per
Models an operation where the duration changes linear with the quantity. E.g. a production operation.
The total duration of the operation plan is the sum of:
A fixed DURATION.
A variable duration, computed as the manufacturing order quantity multiplied by a DURATION_PER.
Field |
Type |
Description |
---|---|---|
duration |
duration |
Fixed component of the duration of the manufacturing
order.
The default value is 0.
|
duration_per |
duration |
Variable component of the duration of the manufacturing
order.
The default value is 0.
|
Operation_alternate
Models a choice between different operations. It has a list of alternate sub-operations listed, each with a priority.
Operation minimum, multiple and maximum size constraints of each individual alternate sub-operation are respected. The ones on the operation_alternate operation itself are ignored.
Field |
Type |
Description |
---|---|---|
search |
string |
Defines the order of preference among the alternate loads. The valid choices are:
|
suboperations |
List of suboperation |
List of alternate sub-operations.
See Suboperations
|
Operation_split
This operation type plans the demand proportionally over a number of operations. It has a list of alternate sub-operations listed, each with a percentage.
The percentages are treated as a hard constraint by the solver. This means that if one of the alternates can’t deliver the requested quantity, the complete split operation is considered as infeasible. (If we’ld treat it as a soft constraint, we would distribute the infeasible quantity among the other alternates).
Minimum, multiple and maximum size constraints on the sub-operations are respected. This means that we can end up with a split that deviates to some extent from the specified percentages.
The percentages don’t need to add up to 100%. We use the relative ratio’s of the sub-operations.
Field |
Type |
Description |
---|---|---|
suboperations |
List of suboperation |
List of sub-operations to divide the plan across.
See Suboperations
|
Operation_routing
Models a sequence a number of ‘step’ sub-operations, to be executed sequentially.
Field |
Type |
Description |
---|---|---|
suboperations |
List of suboperation |
List of sub-operations to execute in sequence.
See Suboperations
|
hard_posttime |
Boolean |
A flag to mark whether the post-operation time of the
routing steps should be used as a hard or soft constraint.
The default is false, i.e. a soft constraint.
Note that this field currently is not defined in the
user interface or database. It is only available to
customizations working in the planning engine.
|