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Market Expansion Strategy using Linear Programming

·196 words·1 min
Table of Contents
Comprehensive case study analyzing profitability in different business scenarios using Linear Programming models for optimal resource allocation.

Project Overview
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This project involves analyzing various business scenarios for market expansion through the lens of operations research. Using Linear Programming techniques, I developed optimization models to maximize profitability while considering real-world constraints and supply chain limitations.

Technologies Used
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Linear Programming Lingo Operations Research Supply Chain Analysis

Key Achievements
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Optimization Modeling
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  • Constraint Identification: Systematically identified and quantified business constraints
  • LP Model Construction: Built comprehensive Linear Programming models for each scenario
  • Sensitivity Analysis: Analyzed solution robustness through sensitivity and ranging reports

Business Impact
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  • Resource Allocation: Provided optimal strategies for resource distribution
  • Profitability Maximization: Identified maximum profit potential under various constraints
  • Strategic Insights: Delivered actionable recommendations for market expansion

Technical Analysis
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  • Lingo Solution Reports: Interpreted complex optimization outputs
  • Supply Chain Optimization: Analyzed end-to-end supply chain efficiency
  • Scenario Planning: Evaluated multiple business expansion strategies

Skills Demonstrated
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  • Operations Research: Advanced optimization techniques and constraint modeling
  • Business Analysis: Strategic thinking and market analysis capabilities
  • Mathematical Modeling: Complex problem formulation and solution interpretation
  • Supply Chain Management: Understanding of operational constraints and efficiencies
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