Career Equity and Experience Maps: Action Plan
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Transcript Career Equity and Experience Maps: Action Plan
© 2013 West Monroe Partners | Reproduction and distribution without West Monroe Partners prior consent prohibited
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Utilizing Simulation to Determine
a Retail Best Practice
Abstract #A4066
Kate Fisher and Joel Brock
West Monroe Partners
IIE Annual Conference 2014 – Montreal, Canada
© 2013 West Monroe Partners | Reproduction and distribution without West Monroe Partners prior consent prohibited
Introduction
Background
West Monroe Partners (WMP)
Operations Excellence (OPEX) Solution
Line
• Our Team delivers IE solutions in the
retail industry space
Joel Brock
BS/MS IE from Northern Illinois
University
14 years of IE/OE experience
Kate Fisher
BS IE from The Ohio State University
Simulation modeling expertise
Objectives
The main objectives of this study are:
Review how “best practices” play into
retail and why simulation is a great tool
to help make business decisions
Present information on differing stocking
methodologies, how these impact the
retail store, and why this case study was
chosen
Portray the approach used in testing the
stocking “best practices” using
simulation, share how others can use the
approach
Illustrate the outcomes of the simulation
study
Share key lessons learned
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Why Use Simulation to Determine Best Practices?
Core Retail Process
Examples:
Register Processing
Customer Service
Tools to Analyze
Processes
Develop
Current
State
Processes
Stocking of Product
Simulation
Process Mapping
•
•
Value Stream Mapping
Others
When engineering the retail world, fixed
measureable processes are integrated with
the more randomly fluctuating aspect of
the customer. As a retailer develops a
process both the controllable aspects of
the process and the variable aspects must
be considered.
Benefits of Simulation as
a Process Analysis Tool
•
Ability to model activities
that have variable
components
Ability to test multiple
iterations to scenarios
without having to facilitate
and setup live tests
No limitations in a virtual
world
While possible in static models to capture
variable elements, simulation provides a
virtual environment where multiple variable
elements can be modeled to interact as they
would in the real world. Simulation can
provide backup proof and data that validates
that a best practice is truly a best practice.
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Common Retail Stocking Methodologies
Stocking with Pre-Loaded Cart
Associate stocks with an already loaded cart, relies on
knowledge of aisle and product locations
Store floor remains clear of obstacles and debris
Stocking with Case Spotting
A member of the team with product placement
knowledge pre-positions the cases in the correct aisle
near the product location for a second group of
associates to follow through and stock to final location
Creates a double handle of each case and places
obstacles in the aisles which can affect the customer
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Approach
Stocking with Pre-Loaded Cart
Stocking with Case Spotting
Baseline – determine a baseline scenario (same cases, aisles, product) that will be modeled utilizing both processes
Build – create two models that utilize the same baseline data run through the two different processes
Analyze – test both models determine which process steps cause the most variability to the outcome
Design – based on the model output, present a preferred best practice that minimizes the labor requirement
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Findings
Stocking with Pre-Loaded Cart
Stocking with Case Spotting
The final results and recommendations will be
presented live at the conference session
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Key Stocking Lessons Learned
Stocking Variables
Best Practices
Staging Location
Search Time
TBD
Cart Travel
Rework
Recommendation
TBD
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Questions?
Contact Information:
Joel Brock
[email protected]
Kate Fisher
[email protected]
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