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2011 1/24
Think | Simulate | Succeed
Simulation in Logistics
2011
Outline
Company overview
Expertise
Products and services
Modeling and simulation
Simulation in Logistics Order Fulfillment Systems
Warehouse Operations
2011 2/24
Company Overview
Founded 2009
Limited Liability Company
Headquarters: Timisoara, ROMANIA
2011 3/24
Our mission:
Our vision:
SIMANDO delivers outstanding simulation, analysis and optimization software applications and services that enable its clients to better understand, design and run their processes and systems.
At SIMANDO, simulation is viewed as an important, multi-purpose component of the value chain. By this approach, we offer to our clients the most effective simulation-based tools and services that will enable them to maximize the results of their enterprises.
Expertise
Software Applications Development
Advanced algorithms and design patterns
Software architecture
Software development lifecycle methodologies
Functional and object oriented programming
2011
Industrial
Project and product development management
Computer Integrated Manufacturing
Industrial engineering and factory planning
Manufacturing, logistics, supply chain design
Transport and distribution networks
Continuous Improvement
Lean principles implementation
Six Sigma/Design For Six Sigma
Modeling and Simulation
Systems modeling, simulation and optimization
All simulation paradigms - discrete events, agent-based and system dynamics
4/24
Expertise
2011 5/24
Our certifications Certified Six Sigma Black Belt American Society for Quality
Project Management Professional Project Management Institute
Certificate in Finance New York Institute of Finance
Oracle Certified Professional Java Programmer Oracle Corporation
Our clients’ benefits
Rapid understanding of their environment and
problems to solve
Solutions based on proven methods and technology
Efficient communication and professional project management
Consideration for a mix of aspects that impact the proposed solutions
Flexible, timely and cost efficient solutions
Products and Services
Products
Modeling and simulation component libraries
MANSIM™ - general manufacturing
SOLSIM™ - photovoltaics manufacturing
LOGSIM™ - warehousing and logistics
Specialized components for Lean Six Sigma applications
Services
Production, logistics, supply chain, healthcare, financial modeling and simulation
Training and assistance in simulation platforms and paradigms
Lean Six Sigma/Design For Six Sigma training and implementation
Product development and project management
Computer Integrated Manufacturing
Facilities planning
2011 6/24
Why Simulation ?
SIMULATION GIVES YOU ANSWERS!
2011 7/24
The future is of greater interest to me than the past, since that is where I intend to spend the rest of my life. ~ Albert Einstein
When?
Where?
What?
Who?
Why?
How?
!
Simulation Study Types
Simulation
Studies
System Design
New processes
New facilities
New concepts
Structural Design
Elements
Layout
Logic
Logical Design
Flow logic
Operations sequences
Priority rules
Parametric Design
Cycle times
Reliability requirements
Velocities, rates
Problem Solving
Diagnosis
Problem definition
Solution finding
Diagnosis
Problem definition
Testing Schemes
What-if scenarios analysis
Solution Validation
Sensitivity analysis
Continuous Improvement
Opportunity definition
Performance measurement
Performance improvement
Opportunity Definition
Benchmarking
Test Plans
Feasibility check
Plan Validation
Sensitivity analysis
2011 8/24
Simulation Benefits
2011 9/24
Convince clients of your operational capabilities
Safely analyze dangerous scenarios Implement your decisions
with confidence
Make prompt and correct decisions
Experiment and get fast feedback
Analyze the behavior of complex systems
Communicate ideas efficiently and credibly
Discover alternatives to unexpected roadblocks
Teach new concepts easily
Save money in short and medium term
Test fast, fail fast, adjust fast. ~ Tom Peters
Applicability Areas
Manufacturing
Key Performance Indicators FMEA Production flow design Planning and scheduling Resource estimation Capacity planning Total cost of ownership
2011 10/24
Lean Six Sigma
Stochastic process simulation Statistical analysis Variability elimination Pull mechanism design QOS metrics Dynamic VSM Benchmarking
Logistics and Supply Chain
Transport networks design Fleet planning & maintenance Warehouse design Operations optimization Supply chain planning
IT & Telecom
Wireless networks topology
Protocols design
Agent-based emergent behaviour analysis
QOS
Urban Development
Public utilities planning
Evacuation plans creation
Disaster recovery
Anti-terrorist measures
Healthcare
Resource estimation
QOS
Epidemics dynamics
Operations optimization
How we do it ?
Problem formulation
Objectives and plan definition
Model development
Data collection
Model conceptualization
Code verification
Model validation
Control
Implementation
Reporting
Experiments run and analysis
Design of experiments
Your trajectory to success with simulation
2011 11/24
Continuous improvement is better than delayed perfection. ~ Mark Twain
Modeling
2011 12/24
Specialized component libraries
Domain specific library components
2D/3D customizable animation
Fast and easy drag-and-drop layout modeling
Reusable models and components encourage continuous improvement!
Simulation models input/output data
2011 13/24
Text
Excel
Database
Webservice
XML
Text
Excel
Database
Webservice
XML
Run-time Charts
Simulation Model
Input Data
Output Data
CAD
Simulation in Logistics
2011 14/24
E.g. Order Fulfillment & Packaging System (simulation application developed by SIMANDO)
Creativity is thinking up new things. Innovation is doing new things. ~ Ted Levitt
Simulation in Logistics
2011 15/24
Pallets with different types of
goods
Operators loading from pallets into the storage zone
Packaging equipment
Equipment runtime statistics Storage zones
filled with goods
Pickers & weigh stations
Pickers & zones runtime statistics
End of line & delivery pallet
Simulation in Logistics
2011 16/24
• Highly detailed behavior of pickers (states: IDLE, PICKING,
MOVING_BUSY, MOVING_FREE, WAITING, and any other custom state according to needs)
• Support for complex interactions among personnel (pickers, operators), equipment and items
• Picking time based on item weight, dimension, appedices, wrapping, picker dexterity, tiredness etc.
• Personnel have dexterity levels, moving speeds, max load capacity etc.
• Dynamically configurable layout, number of resources, animation, animation/speed ratio
• Any type of KPI can be tracked, reported and analyzed
• Detailed modeling of equipments (e.g. conveyors, offloaders,
strapping, plastic foil application, foil heating, weight checker, storage zones, carousels, mini-loads, stacker cranes, labeling)
• Probabilistic/deterministic events for breakdowns, maintenance, change of consumables, setup, assistance etc.
• Tracking/evaluation of energy use, consumables, spare parts according to operation scenarios
• Support for any type of items, picking strategies used (single, batch, baskets, tote boxes, sorting etc.)
• Customizable animation, behavior and parameter set for any component
Simulation in Logistics
IT’S MORE THAN A SIMULATION MODEL, IT’S AN APPLICATION!
2011 17/24
Production plan (ERP/WMS/WCS)
Feedback
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!
Simulation in Logistics
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 18/24
Simulation in Logistics
2011 19/24
E.g. Warehouse Operations (simulation application developed by SIMANDO)
Receiving docks
Conveyor system
Forklifts
Receiving docks
S/R machine
Multi-depth/level storage racks
Trucks arrival according to deterministic or probabilistic schedule
Simulation in Logistics
2011 20/24
S/R machine with acceleration and deceleration for all types of movements; single/multi cycle
Innovative and revealing customized animation based on large data visualization techniques
Extensive and easily configurable simulation parameter set
Runtime and post-simulation statistics and charts for inflows, outflows, stocks, equipment utilization, energy consumption, spare parts etc.
Simulation in Logistics
2011 21/24
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
Simulation in Logistics
2011 22/24
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)
Simulation in Logistics
Design Produce/Build Deliver Support
Time
Cost vs. Impact
Impact
Potential is positive
(Impact > Cost)
Cost
Potential is negative (Impact < Cost)
2011 23/24
Impact of design stages on life cycle
SIMANDO Team
Thank you for your attention!
SIMANDO 9 Republicii Blvd Timisoara, TM 300159 ROMANIA Tel: + 40 356 172 021 Fax: + 40 356 172 017 [email protected] www.simando.com
2011 24/24