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Add numbering to chapter 3 notebooks
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alessandrozocca committed Nov 20, 2023
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24 changes: 12 additions & 12 deletions _toc.yml
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Expand Up @@ -6,7 +6,7 @@ chapters:
- file: notebooks/01/01.00.md
sections:
- file: notebooks/01/01-production-planning.ipynb
- file: notebooks/01/02_production-planning-basic.ipynb
- file: notebooks/01/02-production-planning-basic.ipynb
- file: notebooks/01/03-production-planning-advanced.ipynb

- file: notebooks/02/02.00.md
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- file: notebooks/03/03.00.md
sections:
- file: notebooks/03/bim-perturbed.ipynb
- file: notebooks/03/shift-scheduling.ipynb
- file: notebooks/03/recharging-electric-vehicle.ipynb
- file: notebooks/03/simple-production-model-gdp.ipynb
- file: notebooks/03/machine-scheduling.ipynb
- file: notebooks/03/facility-location.ipynb
- file: notebooks/03/bim-production-revisited.ipynb
- file: notebooks/03/cryptarithms.ipynb
- file: notebooks/03/strip-packing.ipynb
- file: notebooks/03/job-shop-scheduling.ipynb
- file: notebooks/03/maintenance-planning.ipynb
- file: notebooks/03/01-bim-perturbed.ipynb
- file: notebooks/03/02-shift-scheduling.ipynb
- file: notebooks/03/03-recharging-electric-vehicle.ipynb
- file: notebooks/03/04-simple-production-model-gdp.ipynb
- file: notebooks/03/05-machine-scheduling.ipynb
- file: notebooks/03/06-facility-location.ipynb
- file: notebooks/03/07-bim-production-revisited.ipynb
- file: notebooks/03/08-cryptarithms.ipynb
- file: notebooks/03/09-strip-packing.ipynb
- file: notebooks/03/10-job-shop-scheduling.ipynb
- file: notebooks/03/11-maintenance-planning.ipynb

- file: notebooks/04/04.00.md
sections:
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24 changes: 12 additions & 12 deletions notebooks/03/03.00.md
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Expand Up @@ -17,17 +17,17 @@ where $\mathcal{I} \subseteq \{1,\dots,n\}$ is the subset of indices identifying

This chapter includes several examples with companion Pyomo implementation that explore various modeling and implementation aspects of MILO:

* A basic MILO example modeling the [BIM production with perturbed data](bim-perturbed.ipynb)
* [A workforce shift scheduling problem](shift-scheduling.ipynb)
* [Optimal recharging strategy for an electric vehicle](recharging-electric-vehicle.ipynb)
* [A production problem using disjunctions](simple-production-model-gdp.ipynb)
* [A machine scheduling problem](machine-scheduling.ipynb)
* [BIM production revisited](bim-production-revisited.ipynb)
* [Facility location problem](facility-location.ipynb)

* [Extra material: Cryptarithms puzzle](cryptarithms.ipynb)
* [Extra material: Strip packing](strip-packing.ipynb)
* [Extra material: Job shop scheduling](job-shop-scheduling.ipynb)
* [Extra material: Maintenance planning](maintenance-planning.ipynb)
* A basic MILO example modeling the [BIM production with perturbed data](01-bim-perturbed.ipynb)
* [A workforce shift scheduling problem](02-shift-scheduling.ipynb)
* [Optimal recharging strategy for an electric vehicle](03-recharging-electric-vehicle.ipynb)
* [A production problem using disjunctions](04-simple-production-model-gdp.ipynb)
* [A machine scheduling problem](05-machine-scheduling.ipynb)
* [BIM production revisited](06-bim-production-revisited.ipynb)
* [Facility location problem](07-facility-location.ipynb)

* [Extra material: Cryptarithms puzzle](08-cryptarithms.ipynb)
* [Extra material: Strip packing](09-strip-packing.ipynb)
* [Extra material: Job shop scheduling](10-job-shop-scheduling.ipynb)
* [Extra material: Maintenance planning](11-maintenance-planning.ipynb)

Go to the [next chapter](../04/04.00.md) about network optimization.
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"id": "229dff1b-612f-46a6-8ae8-9c7581cb1782",
"metadata": {},
"source": [
"# Production model using disjunctions"
"# 3.4 Production model using disjunctions"
]
},
{
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"```{index} single: Gantt charts\n",
"```\n",
"\n",
"# Machine Scheduling"
"# 3.5 Machine Scheduling"
]
},
{
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"```{index} pandas dataframe\n",
"```\n",
"\n",
"# BIM production revisited"
"# 3.6 BIM production revisited"
]
},
{
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"id": "6HJBsbRamSjV"
},
"source": [
"# Facility location problem\n",
"# 3.7 Facility location problem\n",
"\n",
"This notebook illustrates Example 20 from Chapter 3 of the textbook Hands-On Mathematical Optimization with Python, Cambridge University Press, 2024.\n",
"\n",
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