Applies a holistic, systems approach to student success at PFW, designing a progress roadmap and information hub that addresses both academic and non-academic factors to improve retention, graduation, and student well-being.
Examines the automotive transition to green and digital, economics-as-a-service manufacturing, comparing manufacturing and product-development strategies across China, Europe, and the United States via root-cause and benchmark analysis.
Identifies and structures the barriers companies face in adopting Industry 5.0 (human-centered, sustainable, resilient production) through a literature review, axiomatic-design structuring, and an international survey of more than 200 participants.
Evaluates ChatGPT-4o as an AI assistant for solving electric-circuit problems in engineering education, assessing accuracy and its potential as a teaching aid.
Applies model-based systems engineering (Cameo System Modeler) to sustainable factory design, tracing stakeholder needs to functional requirements and solution alternatives, with sustainability assessment grounded in axiomatic design and the European Sustainability Reporting Standards (ESRS).
Proposes a resilient sustainability-assessment framework that treats sustainability as a transdisciplinary system-of-systems problem, reconciling conflicting objectives across the three sustainability pillars.
Frames sustainability assessment under the EU Sustainability Reporting Standards as a complex many-objective, multi-agent, multidisciplinary system-of-systems problem, and proposes a formulation based on a company's sustainability-readiness level.
Applies Collective System Design to two SMEs — a manufacturing job shop and a service-oriented higher-education setting — showing how standard work and continuous improvement address enterprise complexity, measured through Functional Requirement Measures.
Presents MSDD 10.0, an updated design pattern that extends the Manufacturing System Design Decomposition toward sustainable manufacturing systems.
Frames Industry 4.0 adoption within a long-term, sustainable enterprise system design, deriving needs, functional requirements, and candidate physical solutions across the triple bottom line.
Applies the CSD methodology to an emergency room, identifying functional requirements and solutions that yielded a significant reduction in door-to-doctor time and a substantial gain in patient satisfaction.
Uses Collective System Design to express organizational goals as Functional Requirements met by Physical Solutions, with a manufacturing re-design case examining the synergy with Value Stream Mapping and the leadership implications.
Introduces the Manufacturing System Design Decomposition (MSDD), separating objectives from the means of achievement and relating low-level decisions to high-level requirements so a firm can simultaneously achieve cost, quality, delivery, and flexibility objectives.
Explains the cause-and-effect relationship between performance measurement and manufacturing system design, illustrating why common measurement methods push plants toward mass production and how an axiomatic-design approach yields aligned measures.
Combines a traditional design procedure with functional decomposition of manufacturing-system requirements, giving designers a tool to design systems efficiently while keeping requirements in view, illustrated with a case study.
Presents an approach to determine the objectives and implementation of a "lean" production system design for a manufacturing business, guided by the design axiom of independence.
Presents an evaluation tool, grounded in the MSDD, that determines how well the physical characteristics of a piece of equipment satisfy the functional requirements of the manufacturing system design.
Investigates why machines are typically designed to reduce unit labor cost, and shows how operationally-focused machine design combined with the unit-cost equation produces costly factory-system implementations that miss enterprise objectives.
Additional publications available on request — dscochra@purdue.edu.