Engineering Commons^™

Developing A Greenometer For Green Manufacturing Assessment, Ahmed H. Salem, Ahmed M. Deif

Industrial Technology and Packaging

In this paper a toolbox (Greenometer) to assess the greenness level of manufacturing companies is proposed. The assessment approach is based on capturing the relative greenness position of any company among other industries from different sectors as well as within the same sector. The assessment was based on selected greenness attributes and their composing indicators at each of the two levels of the developed Greenometer. Geometric Mean Method (GMM) was adopted to be the generic assessment technique for cross industries greenness evaluation, while Data Envelopment Analysis (DEA) was employed to assess the greenness level of intra-industries layer. Three different industrial …

Insights On Lean Gamifications For Higher Education, Ahmed Deif

Industrial Technology and Packaging

Purpose

There is no argument that using games (gamification) is an efficient way of learning in higher education. The questions, though, are which gamification approach is most suitable at that level and how to assess its suitability? This paper aims to attempt to partially answer these two questions, in the context of lean thinking education.

Design/methodology/approach

The paper offers an assessment criteria to investigate the impact of lean gamification based on the evaluation of motivational, cognitive and social processing during games. In addition, a study is conducted among selected games using these assessment criteria. The study included statistical as well …

Evaluation Of Career Readiness At An Industrial Technology Program Using A Fuzzy Approach, Ahmed Deif, Cameron Stark, Kathryn Butler, Eric Olsen

Industrial Technology and Packaging

In this research, a quantitative model to measure the “career readiness” performance level of the current curriculum of the Industrial Technology and Packaging program at California Polytechnic State University is proposed. Career readiness is first defined through performance attributes and these attributes are further classified into specific categories and metrics. Using a fuzzy logic computational approach, “career readiness” measures are developed and a “career readiness” score referred to as (CRS) is calculated. The model is designed to be flexible, dynamic and easy to use. It should enable a systematic measurement of career readiness by producing a final integrated unit-less score. …