CONISAR Proceeding 2016

Las Vegas, Nevada

Conference Highlights

Abstracts

Abstracts Chair

Jeffrey Cummings, University of North Carolina Wilmington


Ordered by presentation time

Prototype to Production: A Case Study

Michael Fabbri
University of North Carolina Wilmington

Tuesday - 11/8/2016 in Sierra 8 at 9:50 am
http://proc.conisar.org/2016/abstracts/4286.html

This case study investigates the concerns that should be addressed when scaling source code from a single-developer prototype to a production code base with multiple active developers. The primary purpose of this study is to create a roadmap for the process of completely rewriting a prototype application, including selecting a framework, configuring a deployment solution, and dividing the development process between team members. ....

A Simulation Modeling Approach to Improve JIT Implementation in a Highly Dynamic Manufacturing Environment

Barry Wray
University of North Carolina Wilmington

Rebecca Scott
University of North Carolina Wilmington

Tuesday - 11/8/2016 in Sierra 8 at 10:05 am
http://proc.conisar.org/2016/abstracts/4289.html

Many factors contribute to a successful implementation of the Japanese Just-In-Time (JIT) with kanban manufacturing philosophy. Much of the JIT research points out success with JIT is not automatic. Fairly stable distributions are necessary for both internal and external sources of production variation. A critical question for successful JIT implementation is how smooth timing between workstations will be achieved when highly stochastic distributions are present. This research looks at three sources of variation: product demand, machine processing times, and vendor supply. This research attempts to build a computer simulation model of a JIT system with probabilistic distributions for these three sources of uncertainty. However our model will have constant central tendencies across all distributions and the sole source of uncertainty will be a highly variable stochastic dispersion for all distributions. .....

A Comprehensive Current Review of Text Messaging Usage

Alan Peslak
Penn State University - Worthington Scranton

Wendy Ceccucci
Quinnipiac University

Scott Hunsinger
Appalachian State University

S Kruck
James Madison University

Patricia Sendall
Merrimack College

Tuesday - 11/8/2016 in Sierra 3 & 4 at 2:50 pm
http://proc.conisar.org/2016/abstracts/4287.html

Text messaging, also known as "texting", refers to the exchange of brief messages, typically between 140-160 characters, sent between mobile phones over cellular networks. (Lenhart, Hitlin, & Madden, Teens and Technology, 2005). There were over one trillion text messages sent and received in the U.S. in 2008 (Raposo, 2009). Over 8 trillion text messages were sent in 2011 which makes this service surpass traditional telephone conversations (NetBlueWeb, 2012). According to Pew Internet (Smith (2015)) ”Text messaging is the most widely-used smartphone feature …Fully 97% of smartphone owners used text messaging at least once over the course of the study period, making it the most widely-used basic feature or app; Lenhart, A., Ling, R., Campbell, S., & Purcell, K. (2010) found “Cell-phone texting has become the preferred channel of basic communication between teens and their friends and cell calling is a close second. With such a pervasive use and a ubiquitous technology, it is important to understand as much as possible about influences on the use of this technology. .....

System Analysis of the Infrastructure of an IT services provider

Deepak Krishnappa
University of North Carolina Wilmington

Douglas Kline
University of North Carolina Wilmington

Tuesday - 11/8/2016 in Sierra 3 & 4 at 3:05 pm
http://proc.conisar.org/2016/abstracts/4290.html

As more businesses outsource their information technology functions, service providers are beset with many challenges including security, business continuity, performance, agility, cost, etc. Service providers need logical and physical infrastructures that meet today’s challenges, but they also need to refresh their technology and look to the future. We will present an analysis of an information technology service provider for small and medium size businesses (SMBs) that is considering options for redesigning their infrastructure.