scispace - formally typeset
C

Chon Huat Goh

Researcher at Rutgers University

Publications -  18
Citations -  884

Chon Huat Goh is an academic researcher from Rutgers University. The author has contributed to research in topics: Group technology & Supply chain. The author has an hindex of 12, co-authored 18 publications receiving 859 citations. Previous affiliations of Chon Huat Goh include Southern Methodist University & University of Kentucky.

Papers
More filters
Journal ArticleDOI

Service typologies: a state of the art survey

TL;DR: In this article, a unified schematic representation of services is developed in which the common themes underlying service typology development are identified from both a macro and micro level, and areas for future research are identified.
Journal ArticleDOI

A revised weighted sum decision model for robot selection

TL;DR: In this article, a revised weighted sum model that incorporates the values assigned by a group of experts on different factors in selecting robots is presented, which reduces the impact of any decision maker, with a vastly different opinion, on the overall decision.
Journal ArticleDOI

Evaluating and classifying POM journals

TL;DR: In this paper, the authors applied an established multifaceted citation-based methodology to assign journals to categories (elite and major) along each of four dimensions (breadth, consistency, trend, and intensity of recognition) and subsequently organized into distinct tiers of importance to the production and operations management field.
Journal ArticleDOI

Applying lean manufacturing principles to information intensive services

TL;DR: This paper uses an example of insurance claims handling process to illustrate how the lean manufacturing principles can be beneficially applied, albeit with some modifications, to information intensive services and argues that minimising cycle time plays the same role as reducing inventory.
Journal ArticleDOI

Analytic hierarchy process for robot selection

TL;DR: In this article, a robot selection model that incorporates the inputs from multiple decision makers is provided, based on the analytic hierarchy process method, and both the subjective and objective criteria for robot selection are used.