Empowering Decision-Making in Supply Chains

From Complexity to Clarity: Streamlining Supply Chain Decisions with Smart Tools

In a recent webinar, Jerry Bendiner, an expert with over 30 years of experience in logistics and supply chain modeling, shared his insights on the key factors for optimizing and redesigning logistics networks effectively. Below is a summary of the key points from his presentation.

Time: The Scarcest Resource

Today, the biggest challenge for planners is not just the complexity of supply chains but the lack of time to analyze and make informed decisions.
For a logistics redesign project to succeed, it is essential to balance the level of detail and model complexity with time constraints. In the corporate world, no one is looking for the mathematically optimal solution; what they truly need are tools that consistently generate good recommendations with minimal effort.

How to Make Better Decisions?

Supply chains are constantly evolving, and making strategic decisions requires evaluating alternatives quickly and effectively. However, not all decisions are the same:
  • Execution: Implementing short-term operational plans.
  • Tactical Planning: Optimizing existing resources in the medium term.
  • Strategic Planning: Defining the structure and direction of the supply chain over the long term.

Key questions go beyond costs and capacity: Where should a new distribution center be located? Is it profitable to maintain certain product categories or customers? Should we expand our current capacity or look for new suppliers? The key is to model, optimize, and compare scenarios efficiently.

The Best Solutions in the Market

The most effective tools for supply chain design are built on four fundamental pillars:

  1. Data Import, Organization, and Auditing: A model is only as good as the data it uses. A robust solution should enable data structuring, quality validation, and efficient updates.
  2. A Mathematical Model or Algorithm: Advanced analytics allows evaluating different scenarios and generating logical and pragmatic solutions, avoiding unattainable theoretical models and focusing on actionable recommendations.
  3. An Intuitive Interface: For a tool to be truly useful, it must allow users to easily interact with the data, clearly visualize results, and make decisions without needing to be optimization experts.
  4. An Advanced Analytical Component: By combining visual elements such as maps, dashboards, and grids, along with AI-driven insights, the best solutions enable users to interpret and compare results intuitively, facilitating strategic decision-making.
Less Complexity, More Impact

To achieve this balance, combining human expertise with artificial intelligence can make a significant difference. An effective analytical strategy should:

  • Minimize time and effort required to generate scenarios.
  • Automate and audit data to reduce errors and omissions.
  • Facilitate result interpretation with clear and actionable visualizations.
Success Stories

Leading companies have transformed their supply chains using this approach. Some examples:

  • Alquería (Colombia): Modeled its urban network to optimize carbon footprint while keeping cost and time constraints in check.
  • 3PL in the U.S.: Optimized its distribution network across 13 states with a SaaS model that has evolved for over 20 years, ensuring agile decision-making for clients with constantly changing needs.
Our End-to-End Cloud Solution

Our End-to-End cloud solution covers the entire supply chain, from suppliers to customers, ensuring a balance between result quality and ease of decision-making. It includes:

  • Automated data import and validation to streamline the modeling process.
  • Scenario optimization and simulation, allowing rapid evaluation of multiple alternatives.
  • Clear and interactive visualization, making it easier to interpret and communicate results.
  • An AI-driven analytical component, integrating maps, dashboards, and grids to compare scenarios and understand trends intuitively.
  • Integration with advanced tools, such as Flexsim, to assess demand variability and optimize inventory policies without wasting time on unnecessarily complex analyses.

Conclusion

In supply chain decision-making, balancing quality, time, and effort is crucial. A highly complex and detailed model is useless if it takes hours to generate results. What is truly needed are intuitive tools that allow planners to make well-informed decisions without being overloaded.

Supply chain design is no longer a luxury but a key competitive advantage. With the right approach and tools, strategic decisions become faster, more precise, and more effective.

Discover how Factible Tools can simplify your planning processes, enhance decision-making, and adapt to your business’s changing needs.

👉Learn more about Factible Tools and start optimizing today!

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