The term 'product domain' is correct and usable in written English.
It is typically used in business and tech contexts to refer to the area of focus that a given product or product line covers. For example, "The company's core product domain is cloud storage solutions."
Virtual manufacturing, or manufacturing simulation, can be divided into three domains: product domain, process domain, and resource domain.
As a method Kansei Engineering was used, describing a product domain from a physical and semantic point of view.
One of the main steps when applying this approach concerns the semantic description of the product domain.
The literature advocates functional modeling to capture these considerations but applies it separately to either the product domain or to the manufacturing domain.
The correction terms are given by the solution of correlation equations in the tensor product domain, which can efficiently be computed by means of H-matrices.
The first level of the model involves a thermodynamically based evolution of the product domain from the parent one in the PZT fibers, and the second one treats the PZT fibers and the inactive polymer as a two-phase composite.
Another useful approach, common in professional services but applicable in other product domains, is to create groups that cut across functional areas.
The Hp spaces could be the standard ones as well as weighted Hp spaces, Hp spaces on product domains, etc.
Using matricial Schur ideals and some factorization theorems for tensor products of operator algebras, we are able to obtain matrix-valued interpolation results for general product domains.
Across various studies, product domains and experimental designs, we consistently find that decision makers engage in leader-focused search, not leader-supporting search.
Critiquing in recommender systems has been accepted as an effective feedback mechanism that allows users to incrementally refine their preferences for product attributes, especially in complex decision environments and high-investment product domains where users' initial preferences are usually uncertain and incomplete.
