Arkieva Supply Chain Link Blog.

Creating the link between better supply chain planning and decisions.

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What is a Demand-driven Supply Chain?

A Demand-driven Supply Chain (DDSC) is defined as a supply chain management method focused on building supply chains in response to demand signals. The main force of DDSC is that it is driven by customer demand. In comparison with the traditional supply chain, DDSC uses the pull (Demand pull) technique. It gives the market opportunities to share more information and to collaborate with others in the supply chain.

By | April 19th, 2018|Demand Planning, Supply Chain|0 Comments

Tips for Optimizing Your Entire Supply Chain Planning Process

Optimizing your supply chain involves looking at the entire process, and not just the initial solution. Here’s an example of how.

By | April 17th, 2018|Supply Chain Optimization|0 Comments

What is Statistical Forecasting? A snowfall-based explanation

During the last storm, I was watching the snow plows go to work and thinking about the amount of planning that must go into the resources needed to deal with the snow - what with salt, and plows needed. That must be a whole supply chain.

By | April 13th, 2018|Forecasting|0 Comments

An Example of When Optimization Is Helpful in Supply or Central Planning

Use this example as a starting point to understand the different optimization methods, and when optimization is helpful in supply or central planning.

By | April 11th, 2018|Supply Chain Optimization|0 Comments

Do Returns Impact My Forecast Error Calculation Negatively?

Should you factor returns in your forecast error calculation? In this article, we’ll use a sample data set, to demonstrate if you should consider returns when calculating your forecast errors.

By | April 6th, 2018|Forecasting|2 Comments

Two Simple Examples to Help You Understand How Supply Chain Optimization Algorithms Work.

I work with clients that utilize our supply chain optimization software to maximize their resources. In my upcoming webinar “Should I Optimize My Supply Chain Planning?” I’ll dive deeper into the concepts of supply chain optimization and show examples of when it’s ideal to optimize and when it’s less ideal. In today’s blog post, I’d like to simplify this concept by looking at some basic equations and scenarios to explain how “solvers” or supply chain optimization algorithms work.

By | April 4th, 2018|Supply Chain, Supply Chain Optimization|0 Comments

Going Digital? Things to Consider When Creating a Digital Supply Chain Strategy

A digital supply chain is a supply chain network (DSN) that focuses on using digital systems or technology tools to reduce the need for disparate systems through connectivity; eliminating manual processes and leveraging the data that is available through these systems to enhance the entire supply chain network.

By | March 29th, 2018|Supply Chain|0 Comments

Should I Use Order Lead Time for Demand Segmentation?

To set the foundation for this discussion, let us first look at the definition of order lead time. Order lead time is the time gap between the date when a customer places an order and when they expect to receive the product. Typically, in a B2B environment, the expectation is that there will be some gap between the two dates, and in many cases, this gap can be negotiated.

By | March 27th, 2018|Demand Planning, Segmentation|0 Comments

Can Demand Segmentation Improve Your Statistical Forecast?

Imagine a demand planner working with 10,000 unique combinations. One of the not so envious tasks for this person would be to generate statistical forecast for all these combinations. These days, the statistical forecasting tools available on the market can forecast these combinations using a list of forecasting methods and figure out which method works best for a particular combination.

By | March 22nd, 2018|Demand Planning|0 Comments
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