employee-scheduling | employee scheduling website I built for RIT | Job Scheduling library
kandi X-RAY | employee-scheduling Summary
kandi X-RAY | employee-scheduling Summary
The employee scheduling website I built for RIT Dining Commons using Django.
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Top functions reviewed by kandi - BETA
- Delete a block
- Returns a list of shifted shifts
- Returns a copy of this Shift instance
- Sets the term to the given time
- Render a profile
- Creates a profile edit form
- Update the current availability
- Shortcut for AddUnitForm
- Render a manual page
- Get the table of contents of a unit
- Generate a view of the available positions
- Generates the number of shifts based on the given dates
- Main view function
- This view allows to approve users
- Sub request
- Return the timeliness of the time series
- Render a unit selector
- Render a schedule dropdown tag
- Render a markdown tag
- Schedules a view
- Handles the request
- Render a password page
- Create a new user
- This view allows the user to approve a list of work requests
- View an attendance view
- View of approve_all_shifts
employee-scheduling Key Features
employee-scheduling Examples and Code Snippets
Community Discussions
Trending Discussions on employee-scheduling
QUESTION
I'm hoping to create a distribution that displays the times an employee is available to work. Similar to this figure, which is found at this link staff distribution.
To achieve this, I've created the staff_availability_df
that contains the number of employees to pick from, which is found in the ['Person']
column. The min - max
hours they can work, how much they get paid are labelled as such. The available times they can work are separated into hours ['Availability_Hr']
, which represents the times they can work expressed in hours. So the first person is '8-18'
, which is 8:00:00am - 18:00:00pm
. The ['Availability_15min_Seg']
is essentially the same but hours are split up into 4 segments. So the first person is '1-41'
, which is again 8:00:00am - 18:00:00pm
.
Note: The standard shift operates between 8:00:00am - 3:30:00am
, so approx 20 hours.
The staff_requirements_df
displays the Time
throughout the shift and the required People
I need.
ANSWER
Answered 2019-Apr-05 at 03:45From the top of my head, a greedy algorithm could work. Pick an option that increases your optimization function the most etc; if no options available for the next step, backtrack and pick the next best option, etc.
As explained on the link, how optimal the found solution would be depends highly on the kind of the optimization function.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install employee-scheduling
You can use employee-scheduling like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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