2. SIMANDO is a global management and technology consulting firm with a high
focus on decision support systems and operational excellence. We partner with
client organizations in all industrial sectors to address their most important
challenges and develop complete solutions that will enable them to achieve
their objectives and make significant improvements in their performance. Our
customized approach combines innovative technology, systems thinking and
passion for operational excellence. This ensures that our solutions enable our
clients to achieve sustainable competitive advantage by optimized operations
and responsiveness to the current dynamic business environment.
Founded in 2009, SIMANDO is a private company with its headquarters in
Timisoara, Romania. For more information, please visit:
www.simando.com
3. Outline
About SIMANDO
Services and Products
Simulation Modeling
Simulation of logistic systems
Order Picking Systems
Warehouse Operations
2011 3/35
4. About SIMANDO
Company founded in 2009
Privately owned, LLC
Headquarters: Timisoara, ROMANIA
Mission
At SIMANDO, our primary mission is to help our clients make substantial, continuous improvement in their performance. We
accomplish this by providing them with outstanding technology solutions and consulting services to increase their excellence
degree at all levels.
Vision
We strive to be the company that understands perfectly its clients' objectives, always delivers quantifiable results and
maximizes the financial and trust investments made by its clients.
Our Certifications
Certified Six Sigma Black Belt Project Management Professional
(American Society for Quality) (Project Management Institute)
Certificate in Finance Oracle Certified Professional Java
(New York Institute of Finance) Programmer
(Oracle Corporation)
2011 4/35
5. Expertise
Modeling and Simulation Operational Excellence
Systems modeling, simulation and optimization Lean Six Sigma Transformation
All simulation paradigms - discrete events, agent- Design for Six Sigma
based and system dynamics
Toyota Production System
Statistics
Theory of Constraints
Product Development
Software Applications Development Industrial
Advanced algorithms and design patterns Project and product development management
Software architecture
Computer Integrated Manufacturing
Software development lifecycle methodologies
Industrial engineering and factory planning
Functional and object oriented programming
Manufacturing, logistics, supply chain design
Database Management Systems
Transport and distribution systems
MRP/ERP Systems
2011 5/35
6. Services and Products
Services
Production, logistics, supply chain, healthcare engineering , modelling and simulation
Operations optimization
Lean Six Sigma/Design For Six Sigma training and implementation
Training and assistance in simulation models development
Product development and project management
Computer Integrated Manufacturing
Products
Modeling and simulation component libraries
MANSIM™ - general manufacturing
SOLSIM ™ - photovoltaics manufacturing equipment
LOGSIM ™ - warehousing and logistics
Specialized software applications for Lean Six Sigma, planning and scheduling
2011 6/35
7. P&L Systems Performance Optimization
Industrial
Engineering
Information
Six Sigma
Technology
Production &
Logistic Systems
Performance
TRIZ Lean
Theory of
Constraints
Synergistic framework for continuous significant improvement of production and logistics
2011 7/35
8. Logistic Systems Leverage Points
1st Dimension
1st Dimension
Products and processes selection
Warehouse location, size and layout
2nd Dimension
Warehouse or DC personnel
Material handling systems
Degree of automation 2nd Dimension
3nd Dimension
Jobs scheduling
Preventive maintenance protocols
Personnel allocation protocols
Batching protocols
Waste reduction programs
The 3 Dimensions of Logistics 3rd Dimension
Investment
Logistic System Performance
2011 8/35
9. Why Simulation ?
What?
Where? Who? The future is of greater interest
to me than the past, since that
is where I intend to spend the
! rest of my life.
When? Why? ~ Albert Einstein
How?
BECAUSE … SIMULATION GIVES US ANSWERS!
2011 9/35
10. Simulation Study Types
Simulation
Studies
System Design Problem Solving Continuous Improvement
New processes Diagnosis Opportunity definition
New facilities Problem definition Performance measurement
New concepts Solution finding Performance improvement
Structural Design Diagnosis Opportunity Definition
Elements Problem definition Benchmarking
Layout
Logic
Logical Design Testing Schemes Test Plans
Flow logic What-if scenarios analysis Feasibility check
Operations sequences
Priority rules
Parametric Design Solution Validation Plan Validation
Cycle times Sensitivity analysis Sensitivity analysis
Reliability requirements
Velocities, rates
2011 10/35
11. Simulation Benefits
Analyze the behavior of
Experiment and get complex systems
Make prompt and
fast feedback
correct decisions
Convince clients of your
operational capabilities Communicate ideas
efficiently and credibly
Teach new Test fast, fail fast, adjust fast.
concepts easily
~ Tom Peters
Discover alternatives to
unexpected roadblocks
Save money in short
and medium term
Safely analyze
dangerous scenarios Implement your decisions
with confidence
2011 11/35
13. How We Do It ?
Continuous improvement is better
than delayed perfection.
~ Mark Twain
Problem formulation
Objectives and plan definition
Control
Model conceptualization
Data collection
Your trajectory to success Implementation
with simulation
Reporting
Model development
Experiments run and analysis
Code verification
Design of experiments
Model validation
2011 13/35
14. Modeling
Reusable models and components encourage continuous improvement!
Specialized
component
libraries
2D/3D
customizable
animation
Domain specific
library components
Fast and easy
drag-and-drop
layout modeling
2011 14/35
15. Simulation Models Input/Output Data
CAD Run-time Charts
Text Text
Excel Excel
XML Simulation Model XML
Input Output
Database Database
Data Data
Webservice Webservice
2011 15/35
16. Simulation of Order Picking/Packaging
Creativity is thinking up new things.
Innovation is doing new things.
~ Ted Levitt
E.g. Order Picking & Packaging System
(simulation application developed by SIMANDO)
2011 16/35
17. Simulation of Order Picking/Packaging
Pickers & zones
Pickers & weigh runtime statistics
stations
Equipment
Storage zones runtime statistics
filled with goods
Operators loading
from pallets into
the storage zone
Pallets with
different types of
goods
Packaging
End of line & equipment
delivery pallet
2011 17/35
18. Simulation of Order Picking/Packaging
• Highly detailed behavior of pickers (states: IDLE, PICKING, • Detailed modeling of equipments (e.g. conveyors, offloaders,
MOVING_BUSY, MOVING_FREE, WAITING, and any other strapping, plastic foil application, foil heating, weight checker,
custom state according to needs) storage zones, carousels, mini-loads, stacker cranes, labeling)
• Support for complex interactions among personnel (pickers, • Probabilistic/deterministic events for breakdowns,
operators), equipment and items maintenance, change of consumables, setup, assistance etc.
• Picking time based on item weight, dimension, appedices, • Tracking/evaluation of energy use, consumables, spare parts
wrapping, picker dexterity, tiredness etc. according to operation scenarios
• Personnel have dexterity levels, moving speeds, max load • Support for any type of items, picking strategies used (single,
capacity etc. batch, baskets, tote boxes, sorting etc.)
• Dynamically configurable layout, number of resources, • Customizable animation, behavior and parameter set for any
animation, animation/speed ratio component
• Any type of KPI can be tracked, reported and analyzed
2011 18/35
19. Simulation Order Picking/Packaging
IT’S MORE THAN A SIMULATION MODEL, IT’S AN APPLICATION!
Feedback
Production plan
(ERP/WMS/WCS)
The simulation model resulted is a Java stand-alone application that is utilized by the end-user
daily after the system is installed, to simulate production scenarios and make fine-tunings
Extremely fast - 1 week production scenario for an average order fulfillment and packaging
system simulated on a regular laptop in less than 3 minutes!
2011 19/35
20. Simulation of Order Picking/Packaging
Simulation model/application benefits (order fulfillment systems specific)
Great support for system design activities: system layout, equipment selection, value engineering, FMEA, KPIs
Work dispatching and scheduling alternatives efficiency
Order batching and picking strategies
Zoning and slotting of products
Zone balancing and labor required to meet schedule
Zone reconfiguration recommendations
System bottlenecks detection and management
Sales tool to convince your clients of your capabilities and abilitiy to deliver in time
Cost effective optimizations
Features
Labor, zones, and system productivity KPIs
Runtime charts
Reports and statistics available in PDF format following a simulation run
Integration with ERP, WMS, WCS or other software applications
Great visualization tool
Extremely fast simulation
Platform independent application (Windows, Linux, Mac OS)
2011 20/35
21. Simulation of Warehouse Operations
Multi-depth/level
Forklifts storage racks
Trucks arrival according
to deterministic or
probabilistic schedule
Conveyor system
Receiving docks
S/R machine
E.g. Warehouse Operations
(simulation application developed by SIMANDO)
2011 21/35
22. Simulation of Warehouse Operations
Innovative and revealing customized
animation based on large data Extensive and easily configurable
visualization techniques simulation parameter set
Runtime and post-simulation
statistics and charts for inflows,
outflows, stocks, equipment
S/R machine with acceleration utilization, energy consumption,
and deceleration for all types of spare parts etc.
movements; single/multi cycle
2011 22/35
23. Simulation of Warehouse Operations
Simulation models/applications utility
Long term planning
Dimensioning of storage areas and warehouse technology/MH equipment selection
Preparation of the warehouse layout (storage & access pathways)
Development of fundamental operating strategies and proof of functionality
Input for the implementation of WMS/WCS functions
Staging protocols
Medium term planning
Planning the asortment and range of items to be kept in stock to react to seasonal/market
influences
Manpower requirement planning, preparation of shift models and work schedules
Reorganization of stocks
Planning of transport routes within the warehouse
2011 23/35
24. Simulation of Warehouse Operations
SIMANDO simulation models/applications benefits
All aspects of warehousing operations (receiving, cross-docking, storing, picking, packing, shipping) are covered,
thus local optimizations to the detriment of the whole system are avoided
Calculation of a realistic Total Cost of Ownership (TCO) based on stochastic models
The built-in flexibility enables you to run any type of scenario imaginable
The end-result is a stand-alone Java application that can be used for planning and optimizing operations daily
Great tool to make decisions in reverse-logistics (which have a high degree of variability/uncertainty)
Features
Simulation/application developed with AnyLogic platform
2D/3D customizable animation
Runtime charts
Reports and statistics available in PDF format following a simulation run
Integration with ERP, WMS, WCS or other software applications
Extremely fast simulation models/applications compared to other fixed-library simulation platforms
Platform independent application (Windows, Linux, Mac OS)
2011 24/35
25. Logistic Systems Life Cycle
Cost vs. Impact Cost
Potential is negative
(Impact < Cost)
Potential is positive
(Impact > Cost)
Impact
Time
Design Produce/Build Deliver Support
Impact of design stages on life cycle
2011 25/35
26. Thank you for your attention!
SIMANDO Team
SIMANDO LLC
9 Republicii Blvd
Timisoara, TM 300159
ROMANIA
Tel: +40 356 172 021
Fax: +40 356 172 017
E-mail: info@simando.com
Web: www.simando.com
