Arkieva prides itself on providing some of the best in supply chain thought leadership. Over 300,000 individuals read our blog articles in 2021. The volatile nature of the supply chain today drove our readers to educate themselves on practical actions they can take to remain competitive.
We are excited to announce that we are rebranding Arkieva to fuel growth, strengthen our position in the market, and continue to be a recognized leader in the supply chain industry. Over the past few years, we have been relentlessly focused on solving the most complex planning challenges through simple, intuitive, end-to-end solutions leveraging our best-in-class data scientists, software developers, and supply chain optimization consultants.
These “key tools” balance a need for simple with a need to handle the complexity of SCM – following the IBM adage – complexity exists whether you ignore it or not, best not to ignore it.
In a previous blog post, we discussed how a high or low value of Coefficient of Variation (CV) impacts the first or second term of safety stock. Today we decided to put this to the test using real customer data - here we will discuss our findings.
In an ideal world, demand and supply would be steady and predictable, resulting in optimal capacity utilization and no back orders or missed customer orders. However, in the actual supply chain world variations in actual sales vs. projected sales result in lower forecast accuracy, and either overstocking or stock out situations.
2017 Supply chain productivity and prioritization tips for supply chain planners. Every morning, a supply chain planner must make this decision; “what should I work on today?” In a supply chain of any reasonable complexity, this question can easily be answered with the corresponding fire of the day. On any given day, a supply chain
Last week I wrote about the potential benefits in forecasting results based on removing outliers from one-time events. A key question that came up because of that post was this: How long does a change in demand as a result of an event (whether up or down) impact forecasts in the future? Rather than theorize
How does currency demonetization affect statistical forecasting? The Government of India recently enacted the policy to demonetize Rupees 500 and 1,000 banknotes. ( ₹500 and ₹1,000). All bank notes of these denominations ceased to be legal tender on November 9, 2016. A Google search on this will reap rich returns; here is an article on this topic on
Good handling of market demand data is one of the most vital concepts in any supply chain. But how to create powerful demand planning implementation? The five-step approach outlined below provides guidance.
In 1994, the IBM Micro-electronics Division, itself a fortune 100 size firm, put in place a major effort to create best in class supply chain planning process and software including demand planning(DM), central planning, available to promise, et al. I was fortunate to be an original member and had the opportunity to work extensively on