CLSCMP Course in Oman

Evolution of the supply chain concept

Defining logistics and supply chain

Extended supply chain

Supply chain/logistics integration

Linkages in logistics and supply chain

Decisions in logistics and supply chain

Prevailing practices in logistics and supply chain

Supply Chain Mapping: Visualizes extended networks and identifies key bottlenecks

Predictive Insights: Uses AI for demand forecasting and trend detection

Integration Analytics: Simulates supply chain risks for proactive mitigation

Strategic Balance: Combines AI efficiency with human contextual reasoning

Decision Integrity: Applies judgment for company-specific trade-offs and outcomes

Goals of logistics

Functions of logistics

Business processes impacted by logistics

Reverse logistics

Logistics decision hierarchy

Value chain

Demand chain

Value creation through supply chain

Value-added services in supply chain

Strategic importance of logistics in improving profitability

Route Optimization: Uses AI tools to enhance logistics efficiency

Reverse Logistics: Tracks returns and streamlines back-end operations

Performance Dashboards: Monitors logistics KPIs for data-driven improvement

Human Oversight: Ensures profitability and customer satisfaction alignment

Service Balance: Identifies when AI efficiency harms service quality

Inventory functions

Inventory as a buffer

Reasons for carrying inventory

Inventory related costs

Inventory and customer service

Approaches to managing inventory

Risk pooling in inventory management

Inventory control techniques

Bullwhip effect

Modern inventory control tools

Materials requirements planning (MRP I)

Manufacturing resources planning (MRP II)

Distribution requirement planning

Just in time system

Vendor managed inventory

Different types of warehouses

Functions of warehouses

Warehouses consolidation and break bulk

Strategic functions of warehouses

Strategic materials and inventory management

Demand Forecasting: Leverages AI to enhance accuracy and precision

Predictive Planning: Optimizes EOQ and JIT inventory management systems

Automation Integration: Employs robotics for efficient warehouse operations

Human Oversight: Ensures adaptability in volatile market conditions

Judgment Balance: Recognizes when AI limits effective inventory decisions

Economic order quantity

Just in time procurement

Vendor managed inventory

Online procurement

E-procurement

Reverse auction

Strategic sourcing

Major trends in procurement

Innovative procurement methods

Importance of procurement in lean manufacturing

Procurement risks management

Difference between purchasing/procurement

Contribution of procurement in adding value to organisation

Procurement strategies

Link between corporate, business level and procurement strategies

How external factors affect business and procurement

Supplier Scoring: Uses AI to rank and evaluate vendor performance

Risk Prediction: Forecasts procurement risks for proactive decision-making

Process Automation: Streamlines e-auctions and sourcing workflows efficiently

Strategic Oversight: Aligns AI outputs with ethics and corporate values

Human Judgment: Balances cost efficiency with responsible procurement practices

Distribution channels and logistics

Flows in distribution channel

Channel strategy, length, breadth, and members

Distribution centres and site selection

Transportation infrastructure (sea, air, road)

Cargo movement and freight management

Factors influencing freight cost

Transportation networks: point-to-point, hub & spoke, transshipment, milk run

Containerisation

Third party logistics

Freight Modeling: Utilizes AI to optimize costs and shipment efficiency

Predictive Tracking: Monitors routes and anticipates delays in real time

Optimization Insights: Enhances multimodal transport planning and performance analysis

Human Oversight: Balances efficiency metrics with customer-centric decision-making

Reliability Judgment: Identifies when low-cost AI routes risk service quality

Importance of capacity and network planning

Role of network design

Strategic factors in network design

Operational and tactical factors in network and capacity planning

Steps in network design process

Facility location and capacity allocation

Scenario Simulation: Uses AI for “what-if” network design analysis

Capacity Optimization: Evaluates warehouse locations and balancing through predictive modeling

Analytical Strength: Processes complex configurations for optimal logistical outcomes

Strategic Judgment: Integrates business realities beyond AI’s computational scope

Practical Insight: Identifies when theoretical AI models lack real-world feasibility

International trade drivers

International sourcing

Direct vs indirect exporting

The STEEPLE framework

Managing exchange rate risk

Importance of documentation in logistics

Importance of Incoterms

Strategic importance of HS codes

Invoice, packing list, bill of lading, insurance, certificate of origin

Transport documents in air, road, and sea

Payment mechanisms in international trade

Letter of credit

Export options defined

Strategic importance of Incoterms and LCs in EXIM procedures

Alliances and outsourcing

Global supply chain and logistics

Strategic issues in global logistics

Importance of packaging in logistics

Compliance Automation: Uses AI to validate documentation and Incoterms compliance

Risk Monitoring: Detects payment irregularities and flags potential compliance breaches

Accuracy Enhancement: Improves HS code validation and reduces manual processing

Human Oversight: Resolves disputes and interprets complex regulatory ambiguities

Negotiation Expertise: Applies human insight in customs and authority interactions

Task: Create workflow maps labeling “AI-led” vs “Human-led” tasks

Deliverable: Diagram + rationale

Outcome: Balanced AI-augmented workflows in logistics and supply chain