Arkieva Supply Chain Link Blog.
Creating the link between better supply chain planning and decisions.
RECENT POSTS
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.
COVID-19 & SCM – Importance of Operations Management to Overcome the Limitations of Data-Driven
An often-heard theme in supply chain management (SCM) and COVID-19 is “data-driven” – being data-driven is the path to success. For COVID-19 “science-driven” is often said in the same sentence. For SCM demand or customer-driven replaces “science”. This blog will point out a few examples in the COVID-19 challenge demonstrating COVID-19 is an OM challenge.
Demand Management’s Partner in Crime – Central Planning
Arguably the two most important core components of managing the supply chain or demand-supply network are demand management (DM) and Central Planning (CP). CP is sometimes referred to as master planning or supply planning.
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