Industrial Technology Commons^™

A Capability Maturity Model For Artificial Intelligence Integration In Supply Chain Management, Lordt Becklines

Dissertations

Artificial Intelligence (AI) is transforming Supply Chain Management (SCM), yet many organizations struggle to assess their readiness for AI adoption and to understand how AI capabilities develop across maturity stages. This dissertation addresses this gap by developing a Capability Maturity Model (CMM) for AI integration in SCM, grounded in Organizational Information Processing Theory (OIPT), the Resource-Based View, and related capability frameworks. The model provides a structured approach for evaluating an organization's information-processing requirements, resource configurations, and alignment needed for effective AI-enabled supply chain operations.

Using a design science research approach, the AI-SCM CMM and its associated assessment instrument were derived …

Modeling New Product Success From Component Measures Of Product Advantage: A Model Utilizing Automated Text Classification And Sentiment Analysis, Ashley Nolen Akerman

Dissertations

What attributes of products are most associated with product success from the perspective of the consumer and how is this association affected by the technology level of the product offering? Creating successful new products is an imperative for long term survival for businesses. Past research has focused on the perspectives of manufacturers to understand product attributes that comprise the construct described as product advantage. This study investigated the components of product advantage from the perspective of the consumer and the significance of each component in explaining variance in product success.

A methodology and two classification toolsets were developed for the …

Virtual Design Verification And Process Improvement Of Composite Sheet Material Products Using Intelligent Finite Element Analysis (Ifea), Sathyanarayanan Narasimhan

Dissertations

Engineering design decisions influence more than 70% of product costs. Various computational analysis tools such as Finite Element Analysis (FEA) are typically utilized, to achieve an effective design cycle. Literature review in design process indicates a striking reality that about 75% of design errors can be eliminated through analysis and about 20% of analyses are misrepresented, leading to inadequate or faulty design. Also, analyses in general, generate more information about the problem than is often looked into, leading to a vast potential to study the knowledge creation.

This research bridges these gaps in design process through efficient use of computer-based …

Optimum Failure Truncated Testing Strategies, Erik Kostandyan

Dissertations

Accumulated fatigue damage on mechanical components due to random stress loads eventually causes failure. Therefore products with lower failure rates are more desirable. Testing mechanical components for their intended purpose under predetermined working conditions is a common practice used by industries to prevent failures. Fatigue tests are categorized as Time Truncated or Failure Truncated, known in the literature as Type I and Type II tests, respectively. In failure truncated tests, the mechanical components are tested until the desired number of results is obtained. The parameters of a typical failure truncated test include the capacity of the test facility, the actual …