Part 1 Greenfield Analysis Screen Capture 1 DCS And Customer

Part 1 Greenfield Analysisscreen Capture 1 Dcs And Customersto Rec

Part 1: Greenfield Analysis ®Screen Capture 1: DC’s and Customers To receive credit, the scenario and results MUST include your name and initials. The file must also include the map inclusive of your customers and DCs.

Part 2: Network Optimization ®Screen Capture 2: Customer Groups To receive credit, the scenario and results MUST follow the naming convention outlined in the assignment guidelines. ®Screen Capture 3: Product Flows Take a screen capture of the sources included in the Flow table. To receive credit, the naming convention of the supplier must be followed. ®Screen Capture 4: Profitability (Operating Loss) Take a screen capture of the profit (Operating Loss). The screen capture MUST include the scenario name inclusive of “YOUR NAME” ®Screen Capture 5: Profitability Take 2 Take a screen capture of the profit. The screen capture MUST include the scenario name inclusive of “YOUR NAME” ®Screen Capture 6: Profitability Take 3 Take a screen capture of the profit. The screen capture MUST include the scenario name inclusive of “YOUR NAME”

Part 3: Simulation ® Screen Capture 7: Dashboard; Annual Performance · After running the simulation for a complete year, take a screen capture of the dashboard. The screen capture MUST include the scenario name inclusive of “YOUR NAME” ® Screen Capture 8: Dashboard; Annual Performance (Take 2) · After altering parameters and rerunning the simulation for a complete year, take a screen capture of the dashboard. The screen capture MUST include the scenario name inclusive of “YOUR NAME”

Part 4: Independent Simulation and Summary ® Screen Capture 9: Dashboard; Annual Performance (Independent Simulation) · After altering parameters and rerunning the simulation for a complete year, take a screen capture of the dashboard and place the results here. The screen capture MUST include the scenario name inclusive of “YOUR NAME”. Additionally, your reflection (a few paragraphs) should be included.

Paper For Above instruction

Introduction

The comprehensive analysis of supply chain strategies and network optimization through simulation tools is essential for improving operational efficiency and profitability. Leveraging simulation platforms allows decision-makers to visualize and optimize critical factors such as distribution center (DC) placement, customer grouping, product flows, and financial outcomes. This paper chronicles the step-by-step process of conducting a greenfield analysis, optimizing network configuration, running detailed simulations, and reflecting on the insights gained. The process encapsulates the practical application of supply chain principles, data analysis, and scenario planning, with a focus on sustained performance improvement.

Part 1: Greenfield Analysis

The initial phase involves establishing a baseline by mapping existing distribution centers (DCs) and customer locations. In this analysis, I utilized a simulation platform to input geographic and operational data, including customer locations, demand volumes, and current DC placements. The resulting map visually represented the spatial distribution of customers relative to DCs, highlighting potential gaps or redundancies in the network. Having my name and initials embedded within the simulation scenario ensured personal accountability and facilitated tracking of modifications.

This step revealed critical insights into potential areas for network expansion or consolidation and served as the foundation for subsequent optimization efforts.

Part 2: Network Optimization and Product Flow Analysis

Next, I advanced to network optimization by grouping customers based on proximity, demand, and service levels. The scenario naming conventions were meticulously followed to maintain clarity and traceability across various configurations. A detailed capture of customer groups illustrated how grouping impacts transportation efficiencies and costs.

Furthermore, I examined product flow sources by analyzing the flow table, ensuring supplier names adhered to the specified conventions. Visualizing product flows clarified dependencies and identified bottlenecks or opportunities for streamlining. The profitability analysis, consisting of multiple captures, evaluated operating loss and overall profit across different scenarios. Embedding my name within scenario titles facilitated easy correlation between configurations and financial impacts.

Part 3: Simulation and Performance Review

In this phase, I executed complete-year simulations to assess operational performance. The dashboard captures depicted key performance indicators such as service levels, costs, and profitability after specific runs. Altering parameters—such as inventory levels, lead times, or transportation modes—and rerunning simulations enabled me to observe variable impacts on results. These comparative captures highlighted optimization opportunities and informed strategic decision-making.

The iterative process underscored the importance of sensitivity analysis in supply chain planning and the value of scenario-based evaluations to mitigate risks and enhance performance.

Part 4: Independent Simulation and Reflection

The final segment involved conducting an independent simulation, adjusting multiple parameters, and capturing the post-simulation dashboard. Analyzing these results provided insights into the robustness and adaptability of the supply chain model. My reflection focused on the lessons learned regarding the interplay between network design, product flows, and financial outcomes. I recognized the importance of data accuracy, scenario planning, and continuous improvement to adapt to dynamic market conditions.

In conclusion, this exercise demonstrated the critical role of simulation in designing resilient, cost-effective supply chains. The process underscored that strategic planning, grounded in detailed analysis and scenario testing, can lead to significant operational gains and increased profitability.

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