Showing posts with label Supply Chain. Show all posts
Showing posts with label Supply Chain. Show all posts

Building logistics eco system

To support supply chain logistics integration across areas like Purchasing, Shipment, Freight Forwarding, Cargo, Customs, and Special Handling, you can build on or adapt an open-source portal solution with strong data integration, workflow orchestration, user-role management, and modular architecture.


Below are recommended open-source solutions (some platform-level, some tailored for logistics) and integration toolkits to help unify these functions:





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1. Odoo (Community Edition)

 – Modular ERP with Supply Chain Apps



  • Strengths: Modular, supports purchasing, inventory, shipment tracking, and custom workflows.
  • Relevant Modules:
  • Purchasing
  • Inventory Management
  • Shipping connectors (DHL, FedEx, UPS)
  • Customs (via 3rd party apps or custom modules)
  • Freight (extendable)

  • Tech: Python, PostgreSQL
  • License: LGPL



🔗 https://www.odoo.com/page/logistics





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2. ERPNext

 – Supply Chain and Logistics Support



  • Strengths: Open-source ERP with purchasing, logistics, and inventory modules.
  • Built-in Support For:
  • Supplier management
  • Purchase orders & invoices
  • Shipment tracking
  • Item handling, warehouses
  • Customs info (extendable)

  • Tech: Python (Frappe framework), MariaDB
  • License: GPL



🔗 https://erpnext.com





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3. OpenBoxes

 – Open-source Supply Chain Management System



  • Best For: Healthcare or humanitarian logistics, adaptable to general logistics.
  • Key Features:
  • Shipment tracking
  • Inventory visibility across locations
  • Purchase order and fulfillment management
  • Cold chain & special handling

  • Tech: Java/Groovy, MySQL
  • License: MPL 2.0



🔗 https://openboxes.com





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4. OpenTCS (The Control System)

 – Freight & Cargo Automation



  • Focus: Physical logistics automation — AGVs, freight/cargo movement control.
  • Use Case: Special handling, warehouse/cargo bay movement coordination.
  • Tech: Java
  • License: Apache 2.0



🔗 https://github.com/eclipse/opentcs





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5. Apache Camel + Custom UI Portal

 – Integration Middleware



If your aim is to integrate disparate systems (EDI, ERP, TMS, WMS, Customs API):


  • Apache Camel for data routing and protocol bridging (HTTP, FTP, JMS, EDI, AS2)
  • Combine with an open-source frontend like:
  • React Admin or Metabase for portals
  • Node-RED for drag-and-drop flows

  • Useful when you already have subsystems and need middleware + dashboards.



🔗 https://camel.apache.org





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6. iDempiere

 – Open-source ERP with extensibility for Logistics



  • Strengths: Deep enterprise ERP features with customizable supply chain workflows.
  • Tech: Java, PostgreSQL
  • License: GPL



🔗 https://www.idempiere.org





✅ Ideal Stack Example for Full Portal



From Blogger iPhone client

Supply Chain Monitoring system for Airline

Certainly. Here’s a structured breakdown of the advantages and requirements of implementing spend analytics for the supply chain department (technical parts) of an airline like Qatar Airways, with an added emphasis on integrating cargo and freight forwarder data to reduce expedition costs.





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Advantages of Spend Analytics in Supply Chain (Technical Parts - Airline)




1. 

Cost Optimization



  • Identify excessive or non-strategic spend on technical parts and maintenance services.
  • Consolidate suppliers to negotiate better pricing and payment terms.
  • Reduce dependency on emergency procurement or last-minute orders, which often cost more.




2. 

Inventory Management Efficiency



  • Analyze historical consumption patterns to optimize stock levels.
  • Avoid overstocking or stockouts of high-value aircraft components.




3. 

Supplier Performance Insights



  • Assess delivery times, quality issues, compliance, and cost trends per supplier.
  • Support decision-making for supplier rationalization or diversification.




4. 

Category Management



  • Segment spend by part category (e.g., avionics, hydraulics, engine components).
  • Identify opportunities for bundling or volume purchasing.




5. 

Strategic Sourcing



  • Use analytics to drive sourcing strategies based on total cost of ownership (TCO).
  • Identify alternative suppliers for critical components to minimize risk.




6. 

Reduction in Expedition Costs



  • By forecasting needs and aligning logistics proactively, avoid urgent shipments (air freight, charter).
  • Minimize “AOG” (Aircraft on Ground) scenarios due to parts unavailability.






📈 

Linking Cargo & Freight Forwarders Data




Key Benefits:



  1. Proactive Logistics Planning
  2. Align parts procurement with real-time cargo capacity and freight schedules.
  3. Reduce reliance on expedited or chartered logistics.

  4. Visibility & Control
  5. Track shipment statuses and adjust based on criticality and delivery windows.
  6. Match shipping lead times with aircraft maintenance schedules.

  7. Cost Avoidance
  8. Identify inefficient routes or costly freight decisions.
  9. Optimize for bulk or consolidated shipments instead of fragmented urgent orders.

  10. Vendor Coordination
  11. Improve collaboration with freight forwarders on optimal transport modes and warehouse availability.
  12. Predict congestion or seasonal delays and reroute accordingly.






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Requirements for Implementing Spend Analytics




1. 

Data Integration



  • Integrate ERP (Oracle Fusion or EBS), MRO systems (like AMOS or Ramco), procurement systems, and logistics data sources.
  • Real-time or batch data flow from freight forwarders, cargo divisions, and customs.




2. 

Data Cleansing & Standardization



  • Normalize supplier names, part numbers, units of measure, and currency.
  • Ensure consistency in historical spend data across cost centers and GL codes.




3. 

Category Taxonomy



  • Develop a clear and standardized part classification schema (e.g., ATA chapter-based).
  • Assign spend to categories like engines, avionics, consumables, etc.




4. 

Analytics Tools & Dashboards



  • BI platforms (Power BI, Tableau, or Oracle Analytics Cloud) to visualize spend patterns.
  • KPI dashboards for lead time, cost per shipment, supplier scorecards.




5. 

Cross-Functional Collaboration



  • Align supply chain, engineering, finance, and cargo departments on data governance.
  • Define ownership of insights and actions (e.g., procurement savings, logistics planning).




6. 

Predictive Capabilities



  • Use machine learning to forecast demand for parts and anticipated freight needs.
  • Simulate cost impacts of sourcing vs. delivery trade-offs.






🛫 Example: Use Case in Qatar Airways



  • Problem: Frequent AOG situations due to delayed delivery of critical engine components, requiring last-minute expedited freight at a premium.
  • Solution:
  • Use spend analytics to identify patterns in emergency shipments and their root causes.
  • Integrate freight forwarders’ route data to anticipate delays or congestion.
  • Create a predictive replenishment model to pre-position parts at hubs based on aircraft routing.





Would you like this formatted into a presentation slide or summarized for a report/proposal?


From Blogger iPhone client

List of KPIs for Supply Chain Management in Airline Industry

Here are some key performance indicators (KPIs) for supply chain management in the airline industry:


1. **On-Time Performance (OTP)**: Percentage of flights that depart and arrive on time.

2. **Cargo Load Factor**: The ratio of cargo carried to the total cargo capacity available.

3. **Aircraft Utilization**: Hours of aircraft operation relative to total available hours.

4. **Turnaround Time**: Time taken to prepare an aircraft for its next flight, including refueling, cleaning, and boarding.

5. **Inventory Turnover Ratio**: The rate at which spare parts and maintenance supplies are used and replaced.

6. **Fuel Efficiency**: Fuel consumption per passenger mile or per ton-mile of cargo.

7. **Maintenance Cost per Aircraft**: Total maintenance costs divided by the number of aircraft.

8. **Supplier Lead Time**: Average time taken for suppliers to deliver parts and supplies.

9. **Customer Satisfaction**: Passenger feedback on the efficiency and reliability of services.

10. **Freight Handling Efficiency**: Time and accuracy of handling cargo from booking to delivery.


These KPIs help in monitoring and optimizing various aspects of supply chain operations in the airline industry.

From Blogger iPhone client