Supply Chain Engineering & Management Course

Name: Supply Chain Engineering & Management Training Course
Availability: InStock

Master quantitative network design, auto-ID sensors, lot-sizing heuristics, and discrete-event simulation for resilient logistics.

Supply Chain Engineering & Management Course

At a glance

Duration: 2 Weeks
Format: Classroom
Cities: Amman, Tokyo, Athens, Doha, Zanzibar, Rome and more
Next session: 18 – 29 October 2026, Amman
Average fee: 9,900 €

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Supply Chain Engineering & Management Training Course

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Overview

Modern distribution engineering demands rigorous mathematical optimization, telemetry integration, and automated tracking architectures. The Supply Chain Engineering & Management course equips technical specialists and industrial planners with analytical tools to calculate dynamic lot-sizing heuristics, configure radio-frequency identification topologies, and balance multi-echelon distribution pipelines. Participants evaluate stochastic lead-time variances, automated identification protocols, discrete-event simulation engines, and capable-to-promise logic to eliminate logistical friction across high-throughput distribution corridors. This course is delivered by Agile Leaders Training Center.

Who Should Attend

Industrial engineers designing automated identification architectures and sensor-driven material handling workflows.
Operations research specialists and quantitative analysts developing multi-echelon buffer stock heuristics.
Logistics systems architects specifying radio-frequency identification tags, middleware, and telemetry layers.
Distribution facility designers modeling dock-to-stock throughput, sorting capacities, and automated guided vehicles.
Systems deployment planners configuring order allocation algorithms and real-time execution engines.

Departments and Industries

This technical curriculum supports engineering units and computational analytics groups across capital-intensive sectors.

Automotive assembly plants and tier-one component fabrication hubs
Semiconductor packaging facilities and electronic hardware foundries
Biopharmaceutical manufacturing facilities and cold-chain distribution terminals
Heavy machinery manufacturing plants and high-velocity spare parts centers
Automated consumer package fulfillment hubs and robotic distribution hubs

Learning Objectives

By the end of this course, participants will be able to:

Formulate quantitative heuristics for multi-echelon replenishment using deterministic and stochastic variables.
Deploy radio-frequency identification frameworks, sensor arrays, and middleware across industrial transit routes.
Execute discrete-event simulation runs to evaluate throughput constraints and fleet dispatching bottlenecks.
Calibrate dynamic lot-sizing heuristics including Silver-Meal and Wagner-Whitin algorithms for fluctuating demand.
Construct reverse logistics flow topologies to calculate component harvesting yields and remanufacturing throughput.
Program Available-to-Promise and Capable-to-Promise rules within automated enterprise execution platforms.
Quantify systemic fragility across distribution corridors using node criticality metrics and stochastic failure models.
Synchronize multi-facility replenishment policies via multi-agent coordination frameworks and decentralized control logic.

Course Agenda

Day 1: Auto-ID Protocols and Sensor Telemetry Architecture

Physics of passive and active radio-frequency identification in harsh industrial environments
Antenna array placement, electromagnetic interference mitigation, and reader portal design
Middleware integration specifications linking automated scanners with execution databases
Sensor telemetry arrays: Continuous temperature logging, vibration monitoring, and GPS beacons
Data throughput metrics, read-rate validation testing, and tag encoding standardisation
Laboratory benchmark: Quantifying read accuracy thresholds under metal and liquid interference

Day 2: Quantitative Record Reconciliation and Auto-ID Data Pipelines

Serialized material tracking frameworks across automated high-bay distribution hubs
Algorithmic discrepancy reconciliation between physical sensor events and ledger databases
Automated cycle counting workflows using automated aerial drones and optical scanners
Loss mitigation formulas: Tracking misplaced assets through spatial probability filters
Data ingestion architectures handling high-velocity serialized tag signals
Technical workshop: Programming automated scan reconciliation scripts for real-time stock balances

Day 3: Digital Telemetry and Transit Event Management

Architectures for mobile telematics pipelines and real-time transit telemetry
Edge computing deployment on transport fleets for localized anomaly classification
Integration gateways linking transport telemetry systems with enterprise schedule planners
Simulation of transit asset utilization using discrete-event fleet tracking engines
Cybersecurity parameters, packet encryption, and transmission protocols in mobile logistics fleets
Technical workshop: Building automated exception trigger logic for multi-modal freight routes

Day 4: Network Topologies and Stochastic Demand Modeling

Computational modeling of demand variance using power-law and Poisson distributions
Multi-agent simulation protocols for assessing decentralized replenishment decisions
Late-stage customization heuristics and modular postponement calculation techniques
Facility location algorithms: P-median and capacitated facility location formulation
Throughput capacity balancing between regional distribution hubs and cross-dock terminals
Technical workshop: Solving capacitated distribution allocation models using linear programming tools

Day 5: Closed-Loop Topologies and Component Harvesting

Mathematical modeling of reverse flow volumes, grading gates, and recovery streams
Topological design of consolidation points, testing yards, and disassembly facilities
Economic break-even algorithms for remanufacturing, recycling, and asset disposition
Traceability mechanisms for tracking end-of-life component serialisation and residual value
Circular material flow accounting models for industrial regulatory compliance
Technical workshop: Designing an automated disassembly queue model with variable yield inputs

Day 6: Industrial Flow Synchronization and Throughput Balancing

Mathematical balancing of fabrication cycle times and assembly takt times
Calculating dynamic Kanban quantities and Constant Work-in-Process replenishment triggers
Bottleneck identification methodologies using Theory of Constraints and throughput analysis
Material flow synchronization across automated high-density storage and retrieval machinery
Reducing transit buffers through point-of-use line feeding and kitting delivery logic
Technical workshop: Simulating shop-floor replenishment schedules using pull-system algorithms

Day 7: Decentralized Replenishment and Lot-Sizing Heuristics

Algorithmic comparison of dynamic lot-sizing heuristics: Wagner-Whitin versus Silver-Meal
Part-period balancing formulation under non-stationary discrete demand profiles
Safety stock pooling calculations: Centralized hub consolidation versus distributed depots
Vendor-managed replenishment telemetry architectures and continuous replenishment parameters
Multi-stop route dispatching optimization using vehicle routing heuristics
Technical workshop: Formulating mathematical lot-sizing algorithms for erratic multi-period demand

Day 8: Disruption Simulation and Structural Fragility Analysis

Taxonomy of logistical failure modes: Port closures, supplier insolvencies, and corridor blocks
Quantifying network robustness using graph theory, node degree, and edge betweenness centrality
Stochastic lead-time modelling using Monte Carlo simulations for component transit
Dual-sourcing optimization: Balancing low-cost distant vendors with agile local suppliers
Contingency rerouting algorithms under capacity-constrained alternate shipping channels
Technical workshop: Stress-testing distribution topologies using discrete-event failure injectors

Day 9: Corridors Optimization and Quantitative Auditing

Lead-time compression analytics across complex multi-modal international transit lanes
Formulating multi-tier quantitative telemetry scorecards: Asset turns and cash cycle velocity
Cross-dock throughput optimization using automated sortation scheduling formulas
Empirical benchmarking metrics for automated storage density and handling unit costs
Designing automated exception-reporting dashboards for engineering management teams
Technical workshop: Constructing a variance diagnostic tool for cross-border freight transit runs

Day 10: Demand Allocation and Capable-to-Promise Execution

Algorithmic logic of Available-to-Promise (ATP) and Capable-to-Promise (CTP) rules
Real-time multi-echelon allocation engines under constrained manufacturing capacities
Dynamic order promising protocols linking raw material schedules with dispatch queues
Advanced replenishment scheduling using predictive statistical forecasting models
Capstone synthesis: Engineering an integrated tracking and automated distribution framework
Technical workshop: Simulating multi-tier order allocation under severe component shortages

Practical Exercises

Participants solve applied engineering problem sets using quantitative methods and data structures.

Suggested activity: Formulate an optimal RFID reader placement scheme to maximize read rates along automated conveyor sorters.
Suggested activity: Calculate multi-echelon safety stock quantities across regional depots using stochastic lead-time formulas.
Suggested activity: Build a mathematical dynamic lot-sizing script comparing Silver-Meal and Wagner-Whitin methods.
Suggested activity: Conduct a Monte Carlo disruption simulation to measure inventory depletion during prolonged port congestion.

FAQs

What computational background is expected for this course?

Participants should be comfortable with engineering mathematics, spreadsheet-based data analysis, and basic industrial distribution concepts. Optimization equations and simulation techniques are taught progressively from core principles.

How are sensor and RFID architectures demonstrated during the sessions?

The curriculum analyzes hardware specifications, antenna frequencies, middleware filtering algorithms, and data integration protocols through engineering schematics, technical data feeds, and deployment case exercises.

How does this engineering course differ from general logistics courses?

This program focuses on mathematical modeling, operations research, telematics pipelines, and hardware integration rather than commercial contracting or general purchasing administration.

Conclusion

Supply chain engineering provides the analytical foundations required to design resilient, data-driven distribution ecosystems. By mastering auto-ID protocols, dynamic heuristics, and throughput balancing, technical planners build high-performance material flows that withstand disruption, protect production continuity, and maximize asset utilization across complex multi-echelon networks.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 61-74 of 74 events

Location	Dates	Duration	Mode	Price
Manama	Week 36, 2027 12 – 23 September 2027	2 Weeks	Onsite	€8,000
Amsterdam	Week 37, 2027 13 – 24 September 2027	2 Weeks	Onsite	€10,000
Singapore	Week 38, 2027 20 September – 1 October 2027	2 Weeks	Onsite	€10,000
London	Week 39, 2027 27 September – 8 October 2027	2 Weeks	Onsite	€10,000
Barcelona	Week 39, 2027 27 September – 8 October 2027	2 Weeks	Onsite	€10,000
Kuwait	Week 39, 2027 3 – 14 October 2027	2 Weeks	Onsite	€11,000
Dubai	Week 40, 2027 4 – 15 October 2027	2 Weeks	Onsite	€8,500
Vienna	Week 40, 2027 4 – 15 October 2027	2 Weeks	Onsite	€10,000
Cairo	Week 41, 2027 11 – 22 October 2027	2 Weeks	Onsite	€7,000
Istanbul	Week 41, 2027 11 – 22 October 2027	2 Weeks	Onsite	€8,500
Baku	Week 41, 2027 11 – 22 October 2027	2 Weeks	Onsite	€8,800
Milan	Week 41, 2027 11 – 22 October 2027	2 Weeks	Onsite	€10,000
Paris	Week 42, 2027 18 – 29 October 2027	2 Weeks	Onsite	€10,000
Prague	Week 42, 2027 18 – 29 October 2027	2 Weeks	Onsite	€10,000

Frequently asked questions

What does this course cover?

OverviewModern distribution engineering demands rigorous mathematical optimization, telemetry integration, and automated tracking architectures. The Supply Chain Engineering & Management course equips technical specialists and industrial planners with analytical tools to calculate dynamic lot-sizing heuristics, configure radio-frequency identification top…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Supply Chain Engineering & Management Course