Jiten Shah

Papers

Total Citations

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About

Jiten Shah is a researcher whose work sits at the intersection of manufacturing engineering, precision machining, and computational design. His primary research focuses on developing mathematical frameworks and computer-aided tools to optimize fixture design and setup planning for large, complex castings and weldments. Shah’s major contribution is a novel methodology that uses mathematical tools to create "setup-maps," which enable manufacturers to optimally locate each casting within a machining fixture. This approach directly addresses the high costs associated with first fixture setups, particularly for components with minimum wall thickness constraints. By integrating CAD models, tolerance specifications, and process plans, his work reduces material waste and machining errors, offering a systematic path to lower production costs. While his most-cited paper, “Mathematical Tools for Building Setup-Maps to Optimally Locate Each Casting in a Machining Fixture: Case Study With Minimum Wall Thickness” (2020, 2 citations), is early in its citation life, it represents a foundational step toward smarter, data-driven fixture design. Shah’s research is particularly valuable for industries like aerospace and heavy equipment manufacturing, where precision and cost-efficiency are paramount. His work exemplifies how applied mathematics can solve real-world manufacturing challenges, making him a promising voice in production engineering.