Supply Chain | Arkieva Supply Chain Blog - Page 15

Category: Supply Chain

Investing in SCM Technology: 6 Hints for Success – From a Long Time Ago in a Galaxy Far, Far Away

“Chaos, complexity, and uncertainty” often victimize an organization’s supply chain outstripping the ability of spreadsheet-based tools to respond intelligently. Sounds like 2020? In fact, this comes from one of the original Jedi Knights Dr. Harlan Crowder in a 1997 paper titled “Helpful Hints for OR/MS Consultants”. The purpose of this blog is to revisit this paper since the hints for success are as relevant now as they were then.

Investing in SCM Technology: Vision and Trenches – Lessons for a Successful Journey

The purpose of a vision in this journey is to create a focus on the implementation of decision technology as tools to overcome inherent organizational cognitive limitations of bounded rationality and uncertainty bias to improve SCM. This blog provides some critical lessons to protect a firm’s investment in technology.

5 Things to Consider When Starting Your Supply Chain Digital Transformation Journey

Digital Transformation is a popular term being used in today’s supply chain world. This can mean different things for your organization based on your company’s maturity. In this blog, you will learn the five key points to consider in a supply chain transformation journey.

Invest in Supply Chain Management Technology: Survival and Ability to Respond to Emerging Challenges

When and how to invest in supply chain management technology is a critical question for all firms that is not a one-time question but ongoing. This blog will observe the real business value is “survival and responsiveness” and elaborate on the challenges with this evaluation.

Relationship Between MAD and Standard Deviation for a Normally Distributed Random Variable

A colleague and I were talking recently, and the conversation turned to what is the relationship between Mean Absolute Deviation (MAD) and the Standard Deviation (STDEV). In this post, I will explain to you the math behind that approximation, which by the way, only applies to normal distributions.

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...

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