Arkieva Supply Chain Link Blog.
Creating the link between better supply chain planning and decisions.
RECENT POSTS
Inventory Management – Navigating the Trenches Without Losing Sight of the Big Picture
Inventory comes in many forms and flavors; it is the critical element of supply chains that enable a firm to respond quickly and take advantage of scale. However, managing inventory is one of the most...
Inventory Management: Avoiding Data Driven Disasters – Targets and Monitoring
Inventory management (IM) is a critical component of any successful organization where the mechanics of measuring and monitoring inventory involve KPIs, dashboards, and data science...
The Dual Reality of Inventory Management (IM): Stand Alone and Central Planning – Avoiding Data Driven Disasters
This blog will provide some basic information on CPIM to balance the SAIM focus of these webinars and most importantly position the two so that the oversight of inventory is coordinated.
Executive Perceptions of Machine Learning and Data Anomalies
The chatter about Artificial Intelligence’s (AI) and its recent companion, machine learning (ML) is ever-present. In a wide range of economic activities, AI/ML methods are now standard practice...
Supply Chain Management – Autonomous is Far Away and Resiliency is Needed Now
Over the past few years, the chatter about the role of AI to “optimize” supply chain has been almost endless. Some of the material is great, other is hype, some conjecture, and in most cases, we will not know the impact...
Statistical Forensics: Manipulating Probabilities to Determine the Real Risk From Viruses
The risk of viruses is often a topic of conversation in current times. One of the dominant questions at social gatherings is - what is a bigger risk (defined as serious illness) this fall and winter: regular virus (REGVIR) or COVID-19...
Optimization and Effective Use of Space – COVID-19 Challenges
For most involved in Supply Chain Management, optimization is viewed as one of the three primary methods to create a supply or central plan that matches or balances assets with demand. Historically effective use of space involved minimizing unused space or maximizing revenue from a fixed amount of space. COVID-19 has upset the social order.
Avoiding Data Driven Disasters – Operations Management (OM) To The Rescue
If you are thinking “machine learning and AI” will save you from data disasters – think again as the pandemic behavior is playing havoc with machine learning models.
Statistical Forensics – The Danger of Being Data and Not Operations Management Driven
As previously discussed, being only data-driven can be a road to disaster for COVID-19 or supply chain management. To avoid this disaster requires skill sets from operations management (OM). In this blog we demonstrate that the probability a person actually has COVID-19 antibodies depends heavily on other factors besides the “raw data” of the test results.
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