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A Relative Comparison Of Leading Supply Chain Management Software Packages, Zhongxian Wang, Ruiliang Yan, Kimberly Hollister, Ruben Xing
A Relative Comparison Of Leading Supply Chain Management Software Packages, Zhongxian Wang, Ruiliang Yan, Kimberly Hollister, Ruben Xing
Department of Information Management and Business Analytics Faculty Scholarship and Creative Works
Supply Chain Management (SCM) has proven to be an effective tool that aids companies in the development of competitive advantages. SCM Systems are relied on to manage warehouses, transportation, trade logistics and various other issues concerning the coordinated movement of products and services from suppliers to customers. Although in today’s fast paced business environment, numerous supply chain solution tools are readily available to companies, choosing the right SCM software is not an easy task. The complexity of SCM systems creates a multifaceted issue when selecting the right software, particularly in light of the speed at which technology evolves. In this …
Chapter Xii: A Comparison And Scenario Analysis Of Leading Data Mining Software, John Wang, Xiaohua Hu, Kimberly Hollister, Dan Zhu
Chapter Xii: A Comparison And Scenario Analysis Of Leading Data Mining Software, John Wang, Xiaohua Hu, Kimberly Hollister, Dan Zhu
Department of Information Management and Business Analytics Faculty Scholarship and Creative Works
Finding the right software is often hindered by different criteria as well as by technology changes. We performed an analytic hierarchy process (AHP) analysis using Expert Choice to determine which data mining package was best suitable for us. Deliberating a dozen alternatives and objectives led us to a series of pair-wise comparisons. When further synthesizing the results, Expert Choice helped us provide a clear rationale for the decision. The issue is that data mining technology is changing very rapidly. Our article focused only on the major suppliers typically available in the market place. The method and the process that we …
A Risk/Cost Framework For Logistics Policy Evaluation: Hazardous Waste Management, Kimberly Hollister
A Risk/Cost Framework For Logistics Policy Evaluation: Hazardous Waste Management, Kimberly Hollister
Department of Information Management and Business Analytics Faculty Scholarship and Creative Works
The management of hazardous waste disposal operations is extremely complex involving a multitude of environmental, engineering, economic, social and political concerns. This article proposes a framework to assist policy makers in the evaluation of logistic policies. A spatial general equilibrium based policy evaluation model is developed to calculate risk, cost, and risk equity tradeoff curves. This framework provides policy makers a tool with which they can relate resulting logistics patterns and their associated risk, cost, and equity attributes to original policy goals.