From 4ccf8b87814d33d348ddf365a9a2f5dfe0e47677 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Fabiana=20=F0=9F=9A=80=20=20Campanari?=
 <113218619+FabianaCampanari@users.noreply.github.com>
Date: Thu, 24 Apr 2025 22:35:09 -0300
Subject: [PATCH] Update README.md
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Signed-off-by: Fabiana 🚀  Campanari <113218619+FabianaCampanari@users.noreply.github.com>
---
 README.md | 38 ++++++++++++++++----------------------
 1 file changed, 16 insertions(+), 22 deletions(-)

diff --git a/README.md b/README.md
index 8b6ce83..50b5e4e 100644
--- a/README.md
+++ b/README.md
@@ -1247,7 +1247,7 @@ This is a method to generate an initial feasible solution without considering tr
 
 <br>
 
-### 🔹 Steps:
+### ➢ Steps:
 
 1. **Start in the top-left (northwest) corner** of the transportation table.
    - This is always cell $begin:math:text$ x_{11} $end:math:text$.
@@ -1264,13 +1264,13 @@ This is a method to generate an initial feasible solution without considering tr
 <br>
 
 
-## 💸 Least Cost Method (Método do Custo Mínimo)
+## 💸  [Least Cost Method (Método do Custo Mínimo]():
 
 This method takes into account the transportation costs to guide the initial allocation.
 
 <br>
 
-### 🔹 Steps:
+### ➢ [Steps]():
 
 1. **Identify the cell with the lowest unit cost** in the cost matrix among the remaining unallocated cells.
 2. **Allocate as much as possible** to this cell, without exceeding supply or demand constraints.
@@ -1278,11 +1278,15 @@ This method takes into account the transportation costs to guide the initial all
 4. **Remove** (cross out) the row or column where supply or demand becomes zero. If both are zero simultaneously, cross out only one to maintain feasibility.
 5. **Repeat** the steps until all supplies and demands are met.
 
+
+<br>
+   
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 ⚠️ Unlike the Northwest Corner, this method **considers the costs** and usually leads to a **better initial solution**, closer to the optimal.
 
 <br>
 
-### 🔍 Link to Risk Analysis
+### 🔍  [Link to Risk Analysis]():
 
 - Unbalanced models simulate **shortage/surplus risks**.
 - Dummy rows/columns help visualize **operational failures**.
@@ -1290,12 +1294,14 @@ This method takes into account the transportation costs to guide the initial all
   - Where **stockouts** will occur
   - How to **redistribute resources**
   - Costs of **unserved demands**
+ 
+<br>
 
 This makes the model highly applicable to **supply chain risk management, disaster response logistics, and critical infrastructure planning**.
 
 <br>
 
-### 📐 Initial Basic Feasible Solution
+### 📐 [Initial Basic Feasible Solution]():
 
 A basic feasible solution must:
 1. Satisfy **all row (supply)** and **column (demand)** constraints.
@@ -1306,18 +1312,22 @@ These principles ensure a **non-degenerate** starting point for iterative improv
 
 <br>
 
-## 🧩 Summary
+### 🧩 [Summary]():
 
 The transportation problem provides a clear, visual way to:
 - Model **linear resource flows**,
 - Simulate **imbalances and failure points**,
 - Optimize with **tailored algorithms**, and
 - Integrate with **Simplex** and **risk frameworks** for smarter planning.
+<br>
+
 
 It's a cornerstone of **Operational Research**, **Logistics**, and **Decision Science**.
 
 
 
+<br><br>
+
    
 
 
@@ -1370,22 +1380,6 @@ $x_1 \geq 0, \quad x_2 \geq 0\$
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 ## [Contribute]()