Management Information Systems Commons^™

Isscm Graduating Cohort, December 2013, Raj Soin College Of Business, Wright State University

ISSCM Master Cohort Posters

Poster congratulating the December 2013 Graduating Cohort from the Master of Science in Logistics and Supply Chain Management Program.

Isscm Graduating Cohort, August 2013, Raj Soin College Of Business, Wright State University

ISSCM Master Cohort Posters

Poster congratulating the August 2013 Graduating Cohort from the Master of Information Systems and the Master of Science in Logistics and Supply Chain Management Programs.

Data Science In Supply Chain Management: Data-Related Influences On Demand Planning, Yao Jin

Graduate Theses and Dissertations

Data-driven decisions have become an important aspect of supply chain management. Demand planners are tasked with analyzing volumes of data that are being collected at a torrential pace from myriad sources in order to translate them into actionable business intelligence. In particular, demand volatilities and planning are vital for effective and efficient decisions. Yet, the accuracy of these metrics is dependent on the proper specification and parameterization of models and measurements. Thus, demand planners need to step away from a "black box" approach to supply chain data science. Utilizing paired weekly point-of-sale (POS) and order data collected at retail distribution …

"Big Data" For Business And Education, Shu Z. Schiller

ISSCM Faculty Publications

Have you heard of the phrase, Big Data? The New York Times declared 2012 the dawn of the “Age of Big Data. ”Today, Big Data, together with social and mobile, are the hottest trends in the technology and business communities. "Big Data” is no longer just a technical term, but rather indicates business opportunity. The Data Warehousing Institute (TDWI) Best Practices Report on Big Data Analytics reports that 74% of organizations have adopted some form of analytics today and 34% companies practice some form of advanced Big Data analytics. However, Big Data brings along challenges with benefits. The purpose of …

Integrating Strategic And Tactical Rolling Stock Models With Cyclical Demand, Michael F. Gorman

MIS/OM/DS Faculty Publications

In the transportation industry, companies position rolling stock where it is likely to be needed in the face of a pronounced weekly cyclical demand pattern in orders.

Strategic policies based on assumptions of repetition of cyclical weekly patterns set rolling stock targets; during tactical execution, a myriad dynamic influences cause deviations from strategically set targets. We find that optimal strategic plans do not agree with results of tactical modeling; strategic results are in fact suboptimal in many tactical situations. We discuss managerial implications of this finding and how the two modeling paradigms can be reconciled.

Isscm Graduating Cohort, 2013, Raj Soin College Of Business, Wright State University

ISSCM Master Cohort Posters

Poster congratulating the 2013 Graduating Cohort from the Master of Information Systems and the Master of Science in Logistics and Supply Chain Management Programs.

Sensitivity Analysis And Optimization For Selected Supply Chain Management Issues In The Company – Using System Dynamics And Vensim, Elżbieta Kasperska, Elwira Mateja-Losa, Rafał Marjasz

Journal of Entrepreneurship, Management and Innovation JEMI

The aim of our paper is to present the new results of research work on optimization and simulation for some logistic problems in the company. The System Dynamics (SD) method and the Vensim simulation language are applied in order to solve specific managerial problems described by Forrester in the model of supply chain. The historical model of Customer-Producer-Employment System by Forrester (Forrester, 1961) has not been examined with the sensitivity analysis, from the “automatic” testing perspective. Optimization experiments have not been conducted, either. It is surprising, since the model is old and widely known. The opportunities offered by the Vensim …

The Modeling Process Of The Materials Management System In A Manufacturing Company Based On The System Dynamics Method, Małgorzata Baran

Journal of Entrepreneurship, Management and Innovation JEMI

The article presents the steps of modeling of the material management system in a manufacturing company. First, the modeling procedures indicating by Forrester, Łukaszewicz, Souček, Tarajkowski and Sterman were described and the essence of materials management in a manufacturing company was presented. Next, modeling of the materials management system was shown - step by step. Initially, the variables of the mental model connected with materials were defined, then variables in casual loop diagrams were linked. Diagrams were transformed into a simulation model that has been verified. The validation of the simulation model was conducted by using the following methods: assessing …

06. Management, University Of Central Oklahoma

Oklahoma Research Day Abstracts

No abstract provided.

Research And Pedagogy In Business Analytics: Opportunities And Illustrative Examples, Ramesh Sharda, Daniel Asamoah, Natraj Ponna

ISSCM Faculty Publications

In recent times, business analytics and big data have gained momentum both in industry practice and academic research. The objective of this paper is to provide both a research and teaching introduction to business analytics in the context of both current and prospective perspective of the business analytics domain. It begins by providing a quick overview of the three types of analytics. To assist the future analytics professionals, we identify, group and discuss nine different participants of the analytics industry into clusters. We then include a brief description of some current research projects under way in our team. We also …

Exploring A Third-Party E-Waste Recycling System Under The Extended Producer Responsibility Framework In China, Hua Zhong, Shu Z. Schiller

ISSCM Faculty Publications

The rapid advance of information technologies has produced a large amount of waste of electronic and electrical equipment (WEEE). WEEE or e- waste, refers to old, end-of-life (EoL) or discarded electronic appliances. The world produces 20 to 50 million metric tons of e-waste annually (Electronics Take-back Coalition 2009), of which China alone contributes 2 million tons. Each year at least 6 million washing machines, 7 million TV sets, 10 million PCs and 70 million mobile phones are discarded and the number increases at the rate of more than 10 per cent each year (Hung 2007), according to the report from …

05. Information Operations Management, University Of Central Oklahoma

Oklahoma Research Day Abstracts

No abstract provided.

Coordinating A Supply Chain With A Manufacturer-Owned Online Channel: A Dual Channel Model Under Price Competition, Jennifer K. Ryan, Daewon Sun, Xuying Zhao

Department of Supply Chain Management and Analytics: Faculty and Staff Publications

We consider a dual channel supply chain in which a manufacturer sells a single product to end-users through both a traditional retail channel and a manufacturer-owned direct online channel. We adopt a commonly used linear demand substitution model in which the mean demand in each channel is a function of the prices in each channel.We model each channel as a news vendor problem, with price and order quantity as decision variables. In addition, the manufacturer must choose the wholesale price to charge to the independent retailer. We analyze the optimal decisions for each channel and prove the existence of a …

Modeling Social Transmission Dynamics Of Unhealthy Behaviors For Evaluating Prevention And Treatment Interventions On Childhood Obesity, Leah M. Frerichs, Ozgur M. Araz, Terry T.-K. Huang

Department of Supply Chain Management and Analytics: Faculty and Staff Publications

Research evidence indicates that obesity has spread through social networks, but lever points for interventions based on overlapping networks are not well studied. The objective of our research was to construct and parameterize a system dynamics model of the social transmission of behaviors through adult and youth influence in order to explore hypotheses and identify plausible lever points for future childhood obesity intervention research. Our objectives were: (1) to assess the sensitivity of childhood overweight and obesity prevalence to peer and adult social transmission rates, and (2) to test the effect of combinations of prevention and treatment interventions on the …