FSSCoding
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- Created 15 real-world test scenarios across diverse industries - Each scenario includes autonomous instructions and results placeholders - Industries covered: engineering, healthcare, finance, education, tech, agriculture - Scenarios test FSS-Mini-RAG with authentic professional use cases - Complete deployment guide and validation tools included - Ready for agent delegation and execution Scenarios range from mechanical engineering CAD standards to cybersecurity compliance, ensuring broad market validation.
66 lines
3.2 KiB
Markdown
66 lines
3.2 KiB
Markdown
# Test Scenario 03: Plant Logistics - Warehouse Optimization & Supply Chain
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## 🏭 **Industry Context**: Manufacturing Plant Operations
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**Role**: Logistics Coordinator
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**Task**: Research warehouse optimization strategies and supply chain best practices for a mid-size manufacturing facility
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## 📋 **Scenario Description**
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You work at a manufacturing plant that produces automotive parts. The facility is experiencing bottlenecks in warehouse operations and supply chain inefficiencies. Management has asked you to research modern logistics practices, warehouse optimization techniques, and inventory management systems to improve operational efficiency and reduce costs.
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## 🎯 **Your Mission (Completely Autonomous)**
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### **Step 1: Setup FSS-Mini-RAG**
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1. Read the repository README.md to understand how to install FSS-Mini-RAG
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2. Follow the installation instructions for your platform
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3. Verify the installation works by running `rag-mini --help`
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### **Step 2: Gather Research Materials**
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Create a folder called `plant-logistics-research` and populate it with relevant documentation:
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- Warehouse layout optimization guides and case studies
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- Lean manufacturing and Six Sigma methodologies for logistics
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- Inventory management systems (JIT, Kanban) documentation
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- Supply chain risk management and resilience strategies
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- Automation and robotics in warehouse operations
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**Sources to explore**:
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- Council of Supply Chain Management Professionals (CSCMP) resources
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- Lean manufacturing guides and case studies
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- Warehouse management system (WMS) documentation
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- Industry reports on supply chain optimization
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- Academic papers on logistics and operations research
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### **Step 3: Index and Search**
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1. Use FSS-Mini-RAG to index your `plant-logistics-research` folder
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2. Perform searches to answer these logistics questions:
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- "What are the key principles of efficient warehouse layout design?"
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- "How can Just-In-Time inventory reduce carrying costs?"
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- "What metrics should be used to measure supply chain performance?"
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- "How can automation improve warehouse picking accuracy?"
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- "What strategies reduce supply chain disruption risks?"
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### **Step 4: Document Your Findings**
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Write your findings in `RESULTS.md` including:
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- Warehouse layout optimization recommendations
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- Inventory management system improvements
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- Supply chain efficiency metrics and KPIs
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- Technology solutions for logistics automation
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- Risk mitigation strategies for supply chain resilience
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### **Step 5: Evaluation**
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Rate FSS-Mini-RAG's effectiveness for:
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- Finding operational improvement strategies
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- Searching through technical logistics documentation
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- Helping with process optimization research
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- Overall usefulness for manufacturing logistics workflows
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## 📁 **Deliverables**
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- `plant-logistics-research/` folder with logistics materials
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- `RESULTS.md` with findings and FSS-Mini-RAG evaluation
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- Documentation of your search queries and optimization discoveries
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## ⏱️ **Expected Duration**: 2-3 hours
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## 🎓 **Learning Objectives**
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- Test FSS-Mini-RAG with operational and technical documentation
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- Evaluate search effectiveness with manufacturing and logistics content
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- Assess usefulness for process improvement and optimization research |