Mission and operations planning (M&OP) is based on the commercial supply chain S&OP process and modified for use in planning and managing disaster response and humanitarian supply chains.
The document discusses using supply chain simulations to model a 3M supply chain and identify opportunities for improvement. It describes simulating the supply chain's daily operations to see costs and performance, looking for points of failure, testing changes to products, facilities, vehicles and routes, and exploring ways to lower both costs and carbon footprint through synchronization, reduced inventory, and vehicle selection. The goal is to find solutions that improve the supply chain's efficiency and sustainability.
Supply Chain Modeling and Simulation in 6 Easy StepsMichael Hugos
SCM Globe has academic and business versions. Easy to use and modestly priced; available to anyone wishing to use interactive simulations for teaching or analyzing supply chain operations. Model and simulate real supply chains anywhere in the world. Step by step case studies, course syllabus examples, and personal support for instructors.
The document discusses Sales & Operations Planning (S&OP) and how supply chain simulations can be used to improve logistics planning and operating efficiencies. It describes a 5-step process for S&OP: 1) sales forecasting, 2) demand planning, 3) supply planning, 4) reconciling plans through simulations, and 5) implementing and monitoring the plan. The document uses a case study of a furniture company to illustrate how a cloud-based simulation platform can be used to model the company's supply chain, identify issues, and develop an optimal operating plan through cross-functional collaboration.
Tactical Mission Planning in Humanitarian Response SituationsMichael Hugos
This presentation shows how a simple mission and operations planning process (M&OP) can be combined with a cost-effective supply chain simulation tool to plan and coordinate actual humanitarian and disaster response missions. This same combination also provides an effective online training platform. A scenario depicting the simulated evacuation of refugees from war torn Aleppo in Syria is used to illustrate these points.
Platform for Collaborative Real-Time Supply ChainsMichael Hugos
New technologies are transforming supply chain operations, but technology alone is not enough. Real-time collaboration between people and companies is needed to respond effectively as situations change. Simulation and collaboration platforms let people explore options, create consensus and act effectively in high change and unpredictable supply chains.
A global biopharmaceutical company faced space constraints and safety issues in their main warehouse. Consultants conducted a racking assessment, created an interactive inventory map, and performed a future demand analysis based on inputs from several departments. The project increased warehouse storage capacity by 11% while decreasing the footprint by 9%, addressing the client's goals of improving capacity and compliance with regulations.
Total Trading & Shipping's IT division implemented Corporate Modeler to efficiently manage and evolve their internal processes repository. Corporate Modeler allowed them to graphically represent processes, generate an HTML version integrated into their intranet, and clearly improve the repository's readability, ease of use, and information coherence from a single database point. Through prototyping various modeling solutions, Total found Corporate Modeler to be the most flexible and user-friendly tool to personalize to their specific needs.
This document discusses analytics in the automotive industry. It provides an introduction to the industry, noting that two-wheelers make up 80% of the market share. It then discusses how analytics are used to build smarter vehicles, understand customer behavior, and enable autonomous driving. Two case studies are presented: one where Audi partnered with Adobe to improve their website and customer experiences, and another where top automakers use OpenStack Hadoop to create private clouds to support big data initiatives and improve quality assurance.
The document discusses using supply chain simulations to model a 3M supply chain and identify opportunities for improvement. It describes simulating the supply chain's daily operations to see costs and performance, looking for points of failure, testing changes to products, facilities, vehicles and routes, and exploring ways to lower both costs and carbon footprint through synchronization, reduced inventory, and vehicle selection. The goal is to find solutions that improve the supply chain's efficiency and sustainability.
Supply Chain Modeling and Simulation in 6 Easy StepsMichael Hugos
SCM Globe has academic and business versions. Easy to use and modestly priced; available to anyone wishing to use interactive simulations for teaching or analyzing supply chain operations. Model and simulate real supply chains anywhere in the world. Step by step case studies, course syllabus examples, and personal support for instructors.
The document discusses Sales & Operations Planning (S&OP) and how supply chain simulations can be used to improve logistics planning and operating efficiencies. It describes a 5-step process for S&OP: 1) sales forecasting, 2) demand planning, 3) supply planning, 4) reconciling plans through simulations, and 5) implementing and monitoring the plan. The document uses a case study of a furniture company to illustrate how a cloud-based simulation platform can be used to model the company's supply chain, identify issues, and develop an optimal operating plan through cross-functional collaboration.
Tactical Mission Planning in Humanitarian Response SituationsMichael Hugos
This presentation shows how a simple mission and operations planning process (M&OP) can be combined with a cost-effective supply chain simulation tool to plan and coordinate actual humanitarian and disaster response missions. This same combination also provides an effective online training platform. A scenario depicting the simulated evacuation of refugees from war torn Aleppo in Syria is used to illustrate these points.
Platform for Collaborative Real-Time Supply ChainsMichael Hugos
New technologies are transforming supply chain operations, but technology alone is not enough. Real-time collaboration between people and companies is needed to respond effectively as situations change. Simulation and collaboration platforms let people explore options, create consensus and act effectively in high change and unpredictable supply chains.
A global biopharmaceutical company faced space constraints and safety issues in their main warehouse. Consultants conducted a racking assessment, created an interactive inventory map, and performed a future demand analysis based on inputs from several departments. The project increased warehouse storage capacity by 11% while decreasing the footprint by 9%, addressing the client's goals of improving capacity and compliance with regulations.
Total Trading & Shipping's IT division implemented Corporate Modeler to efficiently manage and evolve their internal processes repository. Corporate Modeler allowed them to graphically represent processes, generate an HTML version integrated into their intranet, and clearly improve the repository's readability, ease of use, and information coherence from a single database point. Through prototyping various modeling solutions, Total found Corporate Modeler to be the most flexible and user-friendly tool to personalize to their specific needs.
This document discusses analytics in the automotive industry. It provides an introduction to the industry, noting that two-wheelers make up 80% of the market share. It then discusses how analytics are used to build smarter vehicles, understand customer behavior, and enable autonomous driving. Two case studies are presented: one where Audi partnered with Adobe to improve their website and customer experiences, and another where top automakers use OpenStack Hadoop to create private clouds to support big data initiatives and improve quality assurance.
The document discusses various types of automated systems used in manufacturing. It describes fixed automation, programmable automation, and flexible automation systems. It also covers different types of material handling equipment used to transport materials within factories, such as conveyor systems, cranes, hoists, and automated guided vehicles. Additionally, it discusses automated storage and retrieval systems and how they are used to store materials in a way that optimizes storage capacity, accessibility, and system throughput.
Fleet management can be defined by three basic components: Equipment assignment
and optimization, Production monitoring, and Position and material monitoring. Equipment assignment
and optimization is the primary reason many construction companies choose to implement fleet
management systems in the first place. By enabling the scheduling and assignment of all types of
equipment from multiple manufacturers as well as shift change management from a central office
location. The second critical element, production monitoring, is the ability to review information on
machine cycle time, payload, loading performance and other key operational parameters. Fleet
management provides visibility in real time to this kind of data which can be tracked by individual
machine or operator, groups of machines, specific sites or an entire fleet enabling miners to make timely
changes to improve loading performance and increase payload predictability. Position and material
monitoring is the third key component. At its most basic level, fleet management is about monitoring
equipment location for an entire fleet but beyond that, it also helps to ensure that machines are in the
right location and that the amount and type of material they are moving is accurate. The study revealed
to analyze performance factors such as dump movement and haul road congestion to boost overall site
productivity.
Uber Business Metrics Generation and Management Through Apache FlinkWenrui Meng
Uber uses Apache Flink to generate and manage business metrics in real-time from raw streaming data sources. The system defines metrics using a domain-specific language and optimizes an execution plan to generate the metrics directly rather than first generating raw datasets. This avoids inefficiencies, inconsistencies, and wasted resources. The system provides a unified way to define metrics from multiple data sources and store results in various databases and warehouses.
The document provides a status update on NASA's Commercial Crew Program. It discusses progress made by program partners Blue Origin, Boeing, Sierra Nevada Corp., and SpaceX in 2012 under the program's Commercial Crew Development and Commercial Crew Integrated Capability initiatives. It outlines upcoming milestones and plans for continued design and testing work in 2013 as the partners work to develop commercial crew transportation systems.
This document outlines a feasibility study conducted by Sikorsky Aircraft to develop an autonomous vertical take-off and landing (VTOL) scalable logistics architecture (AVSLA). The study seeks to determine how decisions are made, routes are determined, and responses are timed within such a system. Initial concepts include a baseline hub-and-spoke model, a flattened hub-and-spoke, and a distributed architecture. Future work may include refining air vehicle and autonomy requirements and applying the system at a national scale or for non-terrestrial applications.
The document describes the application of Model Based Systems Engineering (MBSE) in the product development of a new 2650CX Hybrid Hydraulic/Electric Mining Shovel by Joy Global. MBSE tools like AMESim, MathWorks, Adams and Nastran were integrated into various phases including concept selection, component sizing, performance assessment, structural integrity analysis, and controls development. Backward-facing quasi-static models were used for initial performance estimates while higher fidelity forward-facing dynamic models captured system behavior and predicted performance metrics like fuel consumption and cycle times. Co-simulation was utilized to determine structural loads. The MBSE approach helped overcome challenges in developing the large, complex shovel system.
This document provides an overview of SAP's Advanced Planning and Optimization (APO) module. It discusses how APO supports advanced supply chain planning functions like demand planning and supply network planning. The summary is:
APO is SAP's planning module that works with the ECC/R3 execution system. It uses optimization techniques and considers constraints to create advanced supply chain plans. The document outlines APO's demand planning and supply network planning capabilities, which allow concurrent planning across the network. It also discusses how APO integrates with ECC/R3 through a core interface to share master data and return planning results.
The document discusses plans for the Bloodhound SSC project, which aims to break the land speed record. It analyzes scenarios for completing the project under different resource constraints:
1) Completing with current resources would achieve the target date in late 2016.
2) Meeting the 2014 target date would require immediately hiring over 100 additional engineers, exceeding available resources.
3) Hiring a small number of additional engineers could achieve the target date in mid-2015, saving 15 months.
4) Conducting a media jet engine test in 2013/14 could provide further schedule acceleration.
This document is Shirley Zhang's portfolio that outlines her background and experiences. It includes sections on her objectives, life path, education, work experience at Cardinal Health and CGN Global as a consultant, certifications, awards, research abilities, volunteer activities, hobbies, and self-evaluation. The work experience details her projects assisting with supply chain operations and analytics for clients such as a labor scheduling app and global on-highway truck manufacturer.
Evaluation and Reduction of Truck Turnaround Time Rutulshah15
The document discusses truck turnaround time (TTAT) at an FMCG plant. It notes that TTAT is an important KPI and the objective is to optimize TTAT. Currently, average TTAT is 6 hours 12 minutes versus an ideal time of 1 hour 50 minutes. Major delays stem from drivers waiting for tarps (43%) and unplanned vehicles (20%). Suggestions to improve TTAT include reducing delays, standardizing processes, and implementing new technologies like automated storage and retrieval systems.
Logistic management involves planning, implementing, and controlling the efficient flow of goods, services, and information from the point of origin to the point of consumption. The three key objectives of logistics management are cost reduction, capital reduction, and service improvement. Fundamental logistics questions address when and where resources should be produced, stored, and transported. Logistics is important for business success but also accounts for a significant percentage of business costs, ranging from 5-35% of sales. Maintaining efficient logistics is important but also expensive for businesses.
In SAP ECC 6.0 LES WM Functionality there only exists an ability to carry out a 2-step picking. Many a time Companies/Customers have defined their offsite/contract warehouuses as storage types in SAP WM and they require that material be procured/transferred from these offsite Storage Types by triggers from SAP Production Execution related Transfer Requirements. This could involve more than 2-step-picking and SAP ECC 6.0 WM does not provide the multi step picking ability.
The attached/Subject Solution brief details a solution that provides an end-to-end "Multi Step WM Picking Process" that provides visibility at all stages of picking and also provides an end-to-end audit trail too.
A Computer Model for Selecting Equipment for Earthmoving Operations Using Sim...Hassan Eliwa
This document presents a computer model called PROEQUIP for selecting equipment for earthmoving operations using simulation. PROEQUIP allows users to input project data and choose from databases of equipment options. It then runs simulations to determine the fleet configuration that provides the maximum production and minimum cost. The document describes the model components, assumptions, and provides examples of case studies where PROEQUIP is used to analyze two earthmoving projects and select the optimal equipment for each. It concludes that PROEQUIP is an effective tool for decision makers to evaluate equipment options for earthmoving planning and management.
Planning building & operating 3rd party warehousingImdad Logistics
This document outlines the planning and implementation process for building and operating a third-party logistics centre in Riyadh, Saudi Arabia in 2010. It begins by defining key terms like supply chain, third-party logistics, and operational specifications. It then discusses determining the facility type and engineering guidelines. Sections also address the questions of why go with third-party logistics, who would be involved, when to launch, and how to implement the project over six phases from initiation to going live. The implementation process would take around 22 months from initiation to a pilot project assessment.
WMATA and Amtrak Discuss Maximo Mobile Success Stacey Miller
The Maximo European Rail Summit occurred on June 4, 2014. This presentation shows how Amtrak and WMATA are using next generation Interloc's Mobile Informer for Maximo to ensure successful Maximo mobility for their field workers.
The specialized transportation industry is discovering powerful, new partners for the harmonization of interstate permitted moves, particularly through the largest corridors. Hear about current efforts and how your company can help improve efficient movement of oversize cargo throughout the U.S. – from the Northwest Passage connecting Wisconsin to Washington, to the Spirit of US 54 from Texas to Wichita, to the I-95 connecting the entire Eastern seaboard.
Speakers:
Mark Berndt, Freight Program Leader, Olsson Associates
Marygrace Parker, Project Coordinator, I-95 Corridor Coalition
Moderator:
Ray Morgan, Vice President, Perkins STC
The document discusses vehicle routing problems and algorithms for solving them. It defines the vehicle routing problem, describes several variants including the traveling salesman problem and vehicle routing problem with time windows. It also outlines common route generation algorithms like savings, nearest neighbor and discusses how to evaluate solution quality based on vehicle utilization and load factors. An example problem is presented demonstrating the application of nearest neighbor and savings algorithms to find routes for a fleet of vehicles servicing customer demands from a depot.
Essentials of Supply Chain Management, 4th Edition Lecture and Study SlidesMichael Hugos
Lecture slides and weekly quizzes for instructors and students using Essentials of Supply Chain Management, 4th Ed. PowerPoint version available, contact info@scmglobe.com.
M&OP Demand and Supply Planning TemplatesMichael Hugos
The document outlines the planning for Operation Inherent Rescue, a humanitarian mission in Syria involving the establishment of refugee camps and transport of refugees from Aleppo to Homs. It describes the facilities and forces involved, and goes through a 5-step planning process to forecast demand, plan supply needs, reconcile the plans, and monitor implementation over a 15-day period. Detailed worksheets are included to plan the demand for products and facilities for both military and civilian components, and the supply using vehicles and routes.
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The document discusses various types of automated systems used in manufacturing. It describes fixed automation, programmable automation, and flexible automation systems. It also covers different types of material handling equipment used to transport materials within factories, such as conveyor systems, cranes, hoists, and automated guided vehicles. Additionally, it discusses automated storage and retrieval systems and how they are used to store materials in a way that optimizes storage capacity, accessibility, and system throughput.
Fleet management can be defined by three basic components: Equipment assignment
and optimization, Production monitoring, and Position and material monitoring. Equipment assignment
and optimization is the primary reason many construction companies choose to implement fleet
management systems in the first place. By enabling the scheduling and assignment of all types of
equipment from multiple manufacturers as well as shift change management from a central office
location. The second critical element, production monitoring, is the ability to review information on
machine cycle time, payload, loading performance and other key operational parameters. Fleet
management provides visibility in real time to this kind of data which can be tracked by individual
machine or operator, groups of machines, specific sites or an entire fleet enabling miners to make timely
changes to improve loading performance and increase payload predictability. Position and material
monitoring is the third key component. At its most basic level, fleet management is about monitoring
equipment location for an entire fleet but beyond that, it also helps to ensure that machines are in the
right location and that the amount and type of material they are moving is accurate. The study revealed
to analyze performance factors such as dump movement and haul road congestion to boost overall site
productivity.
Uber Business Metrics Generation and Management Through Apache FlinkWenrui Meng
Uber uses Apache Flink to generate and manage business metrics in real-time from raw streaming data sources. The system defines metrics using a domain-specific language and optimizes an execution plan to generate the metrics directly rather than first generating raw datasets. This avoids inefficiencies, inconsistencies, and wasted resources. The system provides a unified way to define metrics from multiple data sources and store results in various databases and warehouses.
The document provides a status update on NASA's Commercial Crew Program. It discusses progress made by program partners Blue Origin, Boeing, Sierra Nevada Corp., and SpaceX in 2012 under the program's Commercial Crew Development and Commercial Crew Integrated Capability initiatives. It outlines upcoming milestones and plans for continued design and testing work in 2013 as the partners work to develop commercial crew transportation systems.
This document outlines a feasibility study conducted by Sikorsky Aircraft to develop an autonomous vertical take-off and landing (VTOL) scalable logistics architecture (AVSLA). The study seeks to determine how decisions are made, routes are determined, and responses are timed within such a system. Initial concepts include a baseline hub-and-spoke model, a flattened hub-and-spoke, and a distributed architecture. Future work may include refining air vehicle and autonomy requirements and applying the system at a national scale or for non-terrestrial applications.
The document describes the application of Model Based Systems Engineering (MBSE) in the product development of a new 2650CX Hybrid Hydraulic/Electric Mining Shovel by Joy Global. MBSE tools like AMESim, MathWorks, Adams and Nastran were integrated into various phases including concept selection, component sizing, performance assessment, structural integrity analysis, and controls development. Backward-facing quasi-static models were used for initial performance estimates while higher fidelity forward-facing dynamic models captured system behavior and predicted performance metrics like fuel consumption and cycle times. Co-simulation was utilized to determine structural loads. The MBSE approach helped overcome challenges in developing the large, complex shovel system.
This document provides an overview of SAP's Advanced Planning and Optimization (APO) module. It discusses how APO supports advanced supply chain planning functions like demand planning and supply network planning. The summary is:
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2) Meeting the 2014 target date would require immediately hiring over 100 additional engineers, exceeding available resources.
3) Hiring a small number of additional engineers could achieve the target date in mid-2015, saving 15 months.
4) Conducting a media jet engine test in 2013/14 could provide further schedule acceleration.
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1. SCM Globe (www.scmglobe.com) 1
Logistics of Disaster Response
Michael Hugos – mhugos@scmglobe.com
Using Supply Chain Modeling and Simulation for
Disaster Response Mission & Operations Planning (M&OP)
Transportation Research Board Annual Conference 2017 - Session Nbr: P17-20648
Sponsored by:
• Standing Committee on the Logistics of
Disaster Response (ABR20)
• Standing Committee on Military
Transportation (ATO35)
• Standing Committee on Emergency
Evacuations (ABR30)
2. SCM Globe (www.scmglobe.com) 2
Model and Simulate any Supply Chain with Four Entities
• Define different combinations of products, facilities, vehicles and routes
• Place them on a map to create different supply chain models
Local Aid Station
Warehouse
Pre-positioned Products
Pre-positioned Products
Pre-positioned Products
Local Aid Station
Local Aid Station
Local Aid Station
Warehouse
Products – Facilities – Vehicles – Routes
Train
Large Truck
Medium
Truck
Depot
3. SCM Globe (www.scmglobe.com) 3
1.
Mission
Orders
2.
Demand
Planning
3.
Supply
Planning
4.
Reconcile
Plans
(Run Simulations)
5.
Implement
and Monitor
(Evaluate Options)
Every 15 days (or as needed)
Demand Plan:
- Product specs
- Facility demands
Supply Plan:
- Vehicle specs
- Delivery Routes
Logistics Plan:
Effective logistics
plan for 15+ days
• Based on supply chain S&OP process modified to fit
needs of humanitarian / disaster response missions
• CONOPS drives demand and supply planning
• Supply chain simulations show how well these plans work
• Use simulation results to adjust Supply Plan and Demand
Plan so product supply meets mission demand
CONOPS:
- Scope/Facilities
- Personnel
Operating Cost:
Operating budget
and performance
metrics
(Products, Facilities) (Vehicles, Routes)
SIMPLE 5-STEP PROCESS: Mission & Operations Planning
Supply Chain Modeling
& Simulation
Disaster response supply chain shown in this
presentation is from Nepal Earthquake in 2015
4. SCM Globe (www.scmglobe.com) 4
STEP 1. Mission Orders: Concept of Operations (CONOPS)
CONOPS shows:
• Which global logistics depots will send aid supplies to disaster area
• Initial number and locations of aid facilities in disaster area
• Organizations and number of personnel participating in the mission
5. SCM Globe (www.scmglobe.com) 5
STEP 2: Demand Planning: PRODUCTS and FACILITIES
• Finalize locations and specifications for facilities
• Assign activities and personnel to each facility
• Define demand for products at each facility
Zoom in and switch to
satellite view to see actual
facility and surrounding
terrain and roads
Use map view to see
locations for in country
facilities and distances
between facilities
6. SCM Globe (www.scmglobe.com) 6
STEP 2: Demand Planning: PRODUCTS – Data Needed
Ten Product Categories for Aid Supplies:
• Camp Management
• Construction
• Education
• Food
• Health
• Logistics
• Operations Support
• Protection
• Shelter
• Wash
PRODUCT Name Price Weight
(kg)
Size
(m3)
Define product
data at the
pallet quantity
level
Camp Mgmt
Construction
etc.
Define aid supply product categories needed for this disaster response
7. SCM Globe (www.scmglobe.com) 7
STEP 2. Demand Planning : FACILITIES – Data Needed
FACILITY Name Type Storage Rent Ops Cost
Define data for
each facility
Kathmandu
Babare
etc.
FACILITY -
PRODUCTS
Product
Name
Demand Production On-Hand
Define for each
product at
each facility
Construction
Food
etc.
• Kathmandu DC – 80 aid workers plus 1,000 - 2,000 refugees per day
• Babare Warehouse – 50 aid workers plus 1,000 - 2,000 refugees per day
• Charikot Warehouse – 60 aid workers plus 1,000 to 2,000 refugees per day
• Deurali Warehouse – 150 aid workers plus 3,000 - 6,000 refugees per day
• Dhading Warehouse – 65 aid workers plus 2,000 - 4,000 refugees per day
Define facilities and demand for products at each facility
8. SCM Globe (www.scmglobe.com) 8
STEP 3. Supply Planning : VEHICLES and ROUTES
• Decide how to use available vehicles to move products between facilities
• Define delivery schedules and routes for vehicles serving each facility
9. SCM Globe (www.scmglobe.com) 9
STEP 3. Supply Planning : VEHICLES – Data Needed
Civilian Vehicles:
• Large Trucks
• Medium Truck
• Buses
• Railroad Freight Containers
• Air Freight Container
• Other…
Military Vehicles:
• Medium Truck
• Tanker Truck
• Black Hawk Helicopter
• C-130 Transport Aircraft
• Other…
VEHICLE Name Type Carry
Volume
Max
Weight
Speed Ops Cost
per km
Delay -
Depart
Define
data for
each
vehicle
Large
Trucks
Railroad
Freight Ctr
etc.
Define vehicles used for delivering products to facilities
10. SCM Globe (www.scmglobe.com) 10
STEP 3. Supply Planning: ROUTES – Data Needed
ROUTE - PRODUCT Name Facility/Stop Drop Qty Pickup Qty
Define product drop qty
for each product at each
facility on a route
Food Babare
Shelter Charikot
etc.
ROUTE Name Vehicle Distance Time
Define vehicle
routes (each
vehicle has one
or more routes)
Kath – Babare Helicopters (calculated) (calculated)
Kath - Charikot Trucks - 20 (calculated) (calculated)
etc.
Delivery Routes and Vehicles:
• Kuala Lumpur – Kathmandu (air freight)
• Kuala Lumpur – Kolkata (ocean freight)
• Kolkata – Kathmandu (large trucks)
• Brindisi – Kathmandu (air freight)
• Shanghai – Kathmandu (air freight)
• Kathmandu – Babare (helicopters)
• Kathmandu – Charikot (trucks)
• Kathmandu – Deurali (trucks)
• Kathmandu – Dhading (trucks and helos)
Define vehicle delivery routes and products to drop off and pick up at each facility
11. SCM Globe (www.scmglobe.com) 11
STEP 4. Reconcile Plans: Build Supply Chain Model
• Demand Plan provides data for: 1) PRODUCTS; 2) FACILITIES and product demand
• Supply Plan provides data for: 3) VEHICLES; and 4) ROUTES and product delivery qty
• Use this data to build initial supply chain model for disaster response mission
12. SCM Globe (www.scmglobe.com) 12
STEP 4. Reconcile Plans: Run Simulations – Fix Problems
• Simulate operations of the supply chain to find and fix points of failure
• Explore different options, make adjustments so supply chain runs for 15+ days
• Supply chain model that works best in simulations becomes operating plan
13. SCM Globe (www.scmglobe.com) 13
STEP 5: Implement and Monitor: Collaboration
• Cloud-based collaboration platform accessible to all (PCs, laptops, Internet)
• Real-time visibility of problems as they arise, drives consensus and effective action
• Data collection from participant organization computer systems and mobile devices
• Map-based user interface to organize streams of data - Situational Awareness
14. SCM Globe (www.scmglobe.com) 14
STEP 5. Implement and Monitor: Operations
Monitor events and
update supply chain
model based on new
data from field
operations
Continue planning
and simulating
responses to new
situations as mission
unfolds
(back to STEP 1)
15. SCM Globe (www.scmglobe.com) 15
Supply Chain Modeling and Simulation
Learn more about disaster response supply chains and simulations on SCM Globe website:
• Nepal Earthquake Disaster - http://blog.scmglobe.com/?page_id=5137
• Central European Flooding Disaster – http://blog.scmglobe.com/?page_id=2588
• Syria Evacuation Scenario - http://blog.scmglobe.com/?page_id=4672