Demand-Driven Inventory Optimization and Replenishment: Creating a More Efficient Supply Chain

Index

ABC classifications:

about

customer service policies

inventory optimization and

Matas A/S case study

POV examples

Aberdeen report

Acceptability metric

Accumulated demand variance

Actual lead time

Advertising:

long-term schedules

out of stock situations

overstock situations and

planning on key products

rule of thumb inventory management and

Aggregate demand

Alerts:

customer service and

short supplies and

_ALGORITHM_ variable

Allocation of products

AMR Research study

Arc connections

Auto-leveling process

Automated ordering project. See Matas A/S case study

Automobile industry

Availability of product

Average backorder

Average cost

Average inventory

Average order frequency

Backlog metric

Backorder penalty costs

Backorder ratio

Backorders

Balance sheets

Barabas EOQ Model

Baseline planning estimates

Base stock policy

Batch run optimization

Beer Game (MIT)

Benchmark reports

Build-to-order model. See also Pull (demand-driven) methodology

Built-to-stock model. See also Push (supply-driven) methodology

Bulk purchasing discounts

Bullwhip effect:

about

aggregate demand and

days of supply and

demand variance and

distribution chain inefficiencies and

long tail products

Matas A/S case study

Business rules

Cecere, Lora

Change management

Check-and-balance inventory management

Chemicals industry

Collaborative planning, forecasting, and replenishment (CPFR)

Communication:

importance of

Telephone game and

Constraints, theory of

Consumer packaged goods industry

Continuous replenishment

Continuous ...