Journal of Management and Engineering Integration, v.12 no.1
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Item Journal of Management & Engineering Integration, v.12 no.1 (Summer)(Association for Industry, Engineering and Management Systems (AIEMS), 2019-06) Association for Industry, Engineering and Management Systems (AIEMS)Item Smart sensor interface model using IoT for pipeline integrity Cathodic Protection(Association for Industry, Engineering and Management Systems (AIEMS), 2019-06) Algarni, Mohammed; Zwawi, MohammedThis study proposes a design of a smart sensor interface for monitoring Cathodic Protection (CP) in an Internet of Things (IoT) environment. The corrosion sensor is used to monitor voltage potential from a sacrificial anode to an underground pipe or pipelines. The past design of monitoring CP was via wired networking (for data transfer) or by onsite inspection. Although such inspection offers a very reliable monitoring method, it is expensive and inconvenient. This research proposes a new, advanced and straightforward method to monitor CP, for field engineers, by the advancement of IoT intelligence to provide suggestions and make online-orders for consumable parts. This research proposes a solution by the novel design of monitoring corrosion via CP using a smart sensor interface model in an IoT environment and smart-phone applications. The results of this system design show good monitoring performance and excellent analytical potential.Item Engineering disasters: The role of engineering versus management cumulative failure risk factor(Association for Industry, Engineering and Management Systems (AIEMS), 2019-06) Gapinski, Andrzej J.The article investigates engineering disasters as failures of either engineering design, project management decisions, or management processes in general. The paper points out that more often than not the failures of engineering endeavors were due to shortcomings of project management and organizational culture irrespective of the area of engineering discipline involved. The cumulative failure risk factor is proposed to assess an overall project failure risk, which can assist in project failure risk assessment and consequently in identifying the shortcomings in an organization.Item Exploratory analysis of the Malcolm Baldrige National Performance Excellence Award model(Association for Industry, Engineering and Management Systems (AIEMS), 2019-06) Tettey, Anyama; Gholston, Sampson; Mesmer, BryanThis paper conducts exploratory statistical analysis to assess trends in scores for the Malcolm Baldrige National Performance Excellence Award Model (MBNQA). The analysis identifies significant differences and similarities across sectors of examiner scores for the award program. The paper makes use of real consensus and site visit scores data collected over 11 years period, 2007-2017, from a States' Performance Excellence Award program to conduct the analysis. There are 2 parts to the study. In the first part, the authors use descriptive statistics and various univariate parametric procedures to observe differences/ similarities in variability and mean scores over the period of the study. The results show that the variability in the scoring approaches across sectors were not statistically different. The mean consensus scores, however, were statistically different from the mean site visit scores. The second part of the study uses multivariate analysis to assess any significant difference in means between award winners and non-award winners for the consensus and site visit scores. The results show a significant difference between award winners and non-award winners for all 7 category scores using the site visit data but a different pattern for the consensus scores. The study confirms examiner consistency and reliability, as well as the need for all applicants to be given a site visit tour during the award program.Item Performance enhancing drug usage: The influence of adverse health effects and public embarrassment(Association for Industry, Engineering and Management Systems (AIEMS), 2019-06) Cudmore, B. Andrew; Jensen, SherryThis research examines the impact of adverse health effects and public embarrassment as deterrents to the use of performance enhancing drugs (PEDs). Deterrence theory suggests that potential PED users execute a cost-benefit analysis before engaging in illicit drug use; any increase in perceived costs reduces the likelihood of drug use. In accordance with the deterrence theory, this study finds that social costs (public embarrassment) have a negative impact on attitudes toward PEDs. However, potential health costs, even extreme ones, do not deter amateur athletes from considering PEDs. Rationale is offered for why fear of social disapproval has a larger impact than adverse health outcomes on attitudes of potential PED users. Results provide guidance for the development of marketing communications designed to deter amateur athletes from considering PEDs.