Business Analysis

How can Business Analysts use Gap Analysis to improve supply chain efficiency post-pandemic?

CH Asked by Christopher Evans · 05-01-2024
0 upvotes 15,628 views 0 comments
The question

We are seeing huge discrepancies between our target fulfillment times and our actual delivery dates. I want to perform a formal Gap Analysis to find out exactly where the process is breaking down. For those working in logistics or supply chain, what specific data points are you analyzing to bridge this gap? Are there common "hidden" gaps that traditional reporting usually misses, particularly in international shipping and last-mile delivery?

 

3 answers

0
PA
Answered on 07-01-2024

In supply chain, the most common "hidden" gap is the "Information Latency Gap." This is the time it takes for a delay at the port to actually show up in your internal system. I suggest mapping your "As-Is" process against your "To-Be" model using BPMN diagrams. Look at the dwell time at each node. Often, the gap isn't in the physical transport but in the administrative hand-offs. Analyzing the "Order-to-Cash" cycle time alongside "Supplier Lead Time Variability" will usually highlight exactly where your targets are being derailed by external volatility. 

0
M
Answered on 09-01-2024

Have you tried integrating real-time IoT data into your analysis, or are you still relying on static weekly reports from your vendors? 

JA 10-01-2023

Michael, the shift to real-time is the "To-Be" state we are aiming for! Currently, we are stuck in the "Static Report" phase, which is a massive gap in itself. I'm building a case for a "Digital Twin" of our supply chain. By simulating different disruption scenarios, we can identify gaps in our contingency planning before they happen. It’s a step up from traditional gap analysis because it’s proactive rather than just diagnostic. Addressing the "Technology Gap" is our priority for Q3.

0
BA
Answered on 11-01-2024

Don't overlook the "Skill Gap" in your warehouse staff. Sometimes the software is fine, but the data entry at the source is inconsistent, leading to "Garbage In, Garbage Out." 

C 12-01-2023

Excellent point, Barbara. Process gaps are often just human training gaps in disguise. Ensuring everyone understands the 'why' behind the data is key.

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