Digital Twin as a Service
In previous supply chain operations, network planning, and re-engineering took months, but in the third decade of the twenty-first century, time is of the essence. Critical effects exert their effects within hours and redraw previous knowledge, so new perspectives are needed to transform the network. One answer is to create a digital twin of your company, based on your knowledge of the processes, which will enable you to analyze the impacts that have occurred or are expected, explore scenarios, and thus increase your resilience and crisis resistance. With the help of AIMMS SC Navigator, our modelers quickly and efficiently translate your reality to the digital twin of the supply chain and introduce it to the process of rapid decision preparation.
Deliverables
1.Quick Wins, Analysis and Network Modelling for Specific Scenarios, like:
-quantifying major cost improvement opportunities
-identifying high return / profitable network redesign projects
-Setting up the right manufacturing footprint, back-up options
-Setting up the right distribution footprint
-The elimination of inefficiencies
-risk analysis
2.Digital Twin Including Input/Output Integration, “user friendly” Dashboard Summarizing Scenarios Outcomes, for:
-visualizing a SC end-to-end, with outputs/reports generated
-regular network modelling, reflecting of the constraints in capacities, i.e. for the tactical planning cycle
-Business Continuity Planning
-economic production planning for key customers
-supporting mid to long term operational optimization of network assets, transportation services and transportation related strategic and day-to-day decisions.
-forward visibility of flows and warehouse volumes
-network bottlenecks evaluation and simulation
-definition of optimal mix of modalities
-investigate the optimum approach to inventory holding versus manufacturing efficiencies achieved by building additional inventory, in an environment of continuous growth and mix transition
-How does the current network react to increased volumes
3.Building In-House Knowledge for Self-Enabled Modelling and Scenario Analysis:
-building consensus among users and stakeholders
-empowering customers to manage their SC Digital Twin autonomously
-digital twin setting application
-training sessions for key users
-consulting of network design
-model sharing, easiness of model building
When should you use Digital Twin?
Typical Customer concerns/worries:
- Margin optimization
- Cost optimization
- Acquisition and network consolidation
- Inventory handling
- High-cost network regular review
- Risk analysis of supply chain
- Network capacity expansion along with market expansion
- Channel and transportation mode overview
- Product portfolio change and its effect on network
- “Global” downstream model, consolidating all regions and defining stepped ocean transport costs (transport modes) that provided insight on freight consolidation center opportunities
- Regional downstream models focused on minimizing DC direct variable costs (DVC) and fixed overhead cost, inbound (IB) and outbound (OB) transportation costs, duties, and inventory holding cost
○measuring CO2 and have minimized CO2 consumption within some modeling scenarios
- Focused tactical manufacturing planning (across multiple years / quarters) per the review above and BCP evaluation
- Development of tactical storage planning models at a DC, understanding capacity (or sizing of) storage types within a DC
- BCP will need to be addressed as an aspect in all scenarios timize stock placement
- Manufacturing footprint, including options to manufacture product externally, consolidate / divest plants
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