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Inventory Optimization Modeling: Safety Stock, Service Levels & Multi-Echelon Planning Training Course

Goes beyond inventory control to quantitative modeling: safety stock, service level targets, reorder policies, and multi-echelon stock across a network.

IWM · Inventory, Warehousing & Materials ManagementAll Levels#3168ClassroomEnglish , Arabic
Duration
5 Days
Download BrochureView Upcoming Dates

Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy

Course Overview

The Inventory Optimization Modeling: Safety Stock, Service Levels & Multi-Echelon Planning Training Course equips inventory planners, supply chain planners, materials managers, and supply chain analysts with the quantitative methods needed to decide how much stock to hold, where to hold it, and why. Every organization balances the cost of holding inventory against the cost of running out, and many still set stock levels by habit, by rules of thumb, or by a single number of days of cover applied to every item. The course focuses on quantitative modeling rather than on the fundamentals of inventory management and control or on end-to-end supply chain planning. It assumes participants already know inventory types, costs, and classification, and it moves on to the models behind sound stock decisions. Participants measure demand variability and forecast error, calculate safety stock for different service level definitions, set reorder points and order quantities under continuous and periodic review, and handle items with intermittent or slow-moving demand where standard formulas break down. The final part of the program extends these models from a single location to a network. Participants examine how stock held at a central warehouse protects regional sites, how lead times and variability travel through a multi-echelon network, and how to compare options using trade-off curves and simple simulation. The methods work in spreadsheets, so participants can build and test them without specialist software, and they learn how planning systems apply the same logic. Results always depend on data quality and on how consistently the policies are applied. The course is delivered through worked examples, spreadsheet modeling exercises, case data from distribution and maintenance environments, and a final workshop. Participants leave with a safety stock calculator, a service level segmentation by item class, reorder policy templates, a multi-echelon comparison model, and an inventory policy review they can adapt to their own organizations.

Learning Objectives

  • Explain the trade-off between holding cost, ordering cost, and the cost of stockouts in quantitative terms.
  • Measure demand variability and forecast error and use them as inputs to inventory models.
  • Distinguish service level definitions, including cycle service level and fill rate, and choose between them.
  • Calculate safety stock for variable demand, variable lead time, and both together.
  • Set reorder points and order quantities under continuous review policies.
  • Design periodic review policies and calculate order-up-to levels.
  • Segment items by value, variability, and criticality and set differentiated service level targets.
  • Model intermittent and slow-moving demand where standard formulas do not apply.
  • Analyze how stock at central and regional locations interacts in a multi-echelon network.
  • Compare inventory options using trade-off curves and simple simulation.
  • Build inventory models in spreadsheets and test them against historical data.
  • Explain how planning systems apply inventory models and what parameters they need.
  • Prepare an inventory policy review that sets out recommended changes and their rationale.

Who Should Attend

This course is designed for inventory planners, supply chain and demand planners, materials and spare parts managers, warehouse and distribution managers, and supply chain analysts who set or review stock levels and reorder policies. It is equally relevant for procurement managers who agree lead times and order quantities with suppliers, maintenance planners responsible for critical spares, and finance staff who review working capital tied up in inventory. Planning system administrators who maintain inventory parameters will also benefit. Professionals in manufacturing, oil and gas, utilities, mining, healthcare and pharmaceutical supply, retail and distribution, and government warehousing will find the course directly applicable. Comfort with spreadsheets and basic statistics is helpful. It is particularly valuable for participants who already understand inventory fundamentals and want to move from rules of thumb to quantitative policies, and for organizations reviewing stock levels across several warehouses or sites.

Learning Outcomes

  • By the end of this course, participants will be able to:
  • Quantify the trade-off between holding, ordering, and stockout costs.
  • Measure demand variability, forecast error, and lead time variability from historical data.
  • Choose a suitable service level definition and explain its consequences.
  • Calculate safety stock for variable demand, variable lead time, and both together.
  • Segment items and set differentiated service level targets.
  • Set reorder points, order quantities, and order-up-to levels for different review policies.
  • Apply suitable models to intermittent and slow-moving items.
  • Analyze stock positioning between central and regional locations across a multi-echelon network.
  • Compare inventory options using trade-off curves and simple simulation.
  • Build and test inventory models in spreadsheets.
  • Specify the parameters planning systems need and how to maintain them.
  • Prepare an inventory policy review with recommendations, assumptions, and limitations.

Course Outline

Course Outline:

Day 1

The Economics of Inventory and Demand Variability

  • Holding, ordering, and stockout costs and the trade-off between them
  • Cycle stock, safety stock, and pipeline stock in quantitative terms
  • Measuring demand variability and forecast error
  • Lead time and lead time variability as model inputs
  • Preparing and cleaning demand history for modeling
  • Practical application: participants profile the demand and lead time data of a case item set
Day 2

Safety Stock and Service Levels

  • Service level definitions: cycle service level and fill rate
  • Safety stock under variable demand, variable lead time, and both
  • The cost of higher service levels and the shape of the trade-off curve
  • Segmenting items by value, variability, and criticality
  • Setting differentiated service level targets by item class
  • Practical application: participants build a safety stock calculator and a service level segmentation
Day 3

Reorder Policies and Order Quantities

  • Continuous review: reorder point and order quantity
  • Periodic review: review interval and order-up-to level
  • Economic order quantity and its practical limits
  • Minimum order quantities, pack sizes, and supplier constraints
  • Intermittent and slow-moving demand: alternative models for spares
  • Practical application: participants design reorder policies for fast-moving and slow-moving items
Day 4

Multi-Echelon Inventory Planning

  • Inventory in networks: central warehouses, regional sites, and points of use
  • How lead times and variability travel through a multi-echelon network
  • Where to position stock: centralization, pooling, and its limits
  • Comparing network options with trade-off curves
  • Simple simulation to test policies before applying them
  • Practical application: participants compare stocking options for a two-level distribution network
Day 5

Implementation, Systems, and Policy Review

  • How planning systems apply inventory models and the parameters they need
  • Monitoring policy performance: service, stock levels, and exceptions
  • Reviewing parameters as demand, lead times, and costs change
  • Agreeing inventory policies with operations, procurement, and finance
  • Presenting results honestly, including assumptions and data limitations
  • Final workshop: participants prepare an inventory policy review for their own organizations

Upcoming Dates

CityDatesPrice per ParticipantEarly Bird
Kuala LumpurScheduled
9 – 13 Nov 2026€4,400—
LisbonScheduled
16 – 20 Nov 2026€5,400—
MadinahScheduled
23 – 27 Nov 2026€4,200—
LondonScheduled
23 – 27 Nov 2026€5,600—
MadridScheduled
30 Nov – 4 Dec 2026€5,400€4,860until 9 Nov
ManamaScheduled
7 – 11 Dec 2026€4,700€4,230until 16 Nov
MakkahScheduled
7 – 11 Dec 2026€4,200€3,780until 16 Nov
MarbellaScheduled
14 – 18 Dec 2026€5,400€4,860until 23 Nov
MuscatScheduled
21 – 25 Dec 2026€5,300€4,770until 30 Nov
OnlineScheduled
27 – 31 Dec 2026€1,700€1,530until 7 Dec
ParisScheduled
28 Dec 2026 – 1 Jan 2027€5,700€5,130until 7 Dec
RiyadhScheduled
4 – 8 Jan 2027€4,200€3,780until 14 Dec
AbujaScheduled
11 – 15 Jan 2027€5,100€4,590until 21 Dec
AccraScheduled
11 – 15 Jan 2027€5,100€4,590until 21 Dec
AmmanScheduled
17 – 21 Jan 2027€3,100€2,790until 28 Dec
AmsterdamScheduled
25 – 29 Jan 2027€5,400€4,860until 4 Jan
BakuScheduled
25 – 29 Jan 2027€4,800€4,320until 4 Jan
BangkokScheduled
1 – 5 Feb 2027€6,100€5,490until 11 Jan
BarcelonaScheduled
8 – 12 Feb 2027€5,400€4,860until 18 Jan
BeirutScheduled
14 – 18 Feb 2027€4,000€3,600until 25 Jan
CairoScheduled
14 – 18 Feb 2027€3,300€2,970until 25 Jan
CasablancaScheduled
22 – 26 Feb 2027€4,300€3,870until 1 Feb
DammamScheduled
28 Feb – 4 Mar 2027€4,200€3,780until 8 Feb
DohaScheduled
28 Feb – 4 Mar 2027€4,400€3,960until 8 Feb
DubaiScheduled
7 – 11 Mar 2027€4,400€3,960until 15 Feb
ErbilScheduled
14 – 18 Mar 2027€3,100€2,790until 22 Feb
GenevaScheduled
15 – 19 Mar 2027€6,300€5,670until 22 Feb
IstanbulScheduled
22 – 26 Mar 2027€4,700€4,230until 1 Mar
JeddahScheduled
28 Mar – 1 Apr 2027€4,200€3,780until 8 Mar
KigaliScheduled
29 Mar – 2 Apr 2027€5,100€4,590until 8 Mar

Available in: Istanbul · Dubai · London · Riyadh · Doha · Amsterdam

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