Whirlpool Corporation Global Procurement

Author(s):  
Timothy M. Laseter

This case introduces a framework for cost modeling. Two data sets (one for injection-molded plastic parts and another for compressors) allow students to apply the cost-driver framework in conjunction with basic spreadsheet and regression analyses. Although obviously applicable in a course on supply chain management, the case can also be used to teach competitive cost analysis for strategic decision making.

Author(s):  
Timothy M. Laseter

This case introduces a framework for cost modeling. Two data sets (one for injection-molded plastic parts and another for compressors) allow students to apply the cost-driver framework in conjunction with basic spreadsheet and regression analyses. Although obviously applicable in a course on supply chain management, the case can also be used to teach competitive cost analysis for strategic decision making.


Author(s):  
Anteneh Ayanso ◽  
Paulo B. Goes ◽  
Kumar Mehta

Relational databases have increasingly become the basis for a wide range of applications that require efficient methods for exploratory search and retrieval. Top-k retrieval addresses this need and involves finding a limited number of records whose attribute values are the closest to those specified in a query. One of the approaches in the recent literature is query-mapping which deals with converting top-k queries into equivalent range queries that relational database management systems (RDBMSs) normally support. This approach combines the advantages of simplicity as well as practicality by avoiding the need for modifications to the query engine, or specialized data structures and indexing techniques to handle top-k queries separately. This paper reviews existing query-mapping techniques in the literature and presents a range query estimation method based on cost modeling. Experiments on real world and synthetic data sets show that the cost-based range estimation method performs at least as well as prior methods and avoids the need to calibrate workloads on specific database contents.


Author(s):  
Douglas C. Mehl ◽  
Kurt A. Beiter ◽  
Kos Ishii

Abstract This paper addresses the determination of wall thicknesses and gating schemes in the preliminary design of injection-molded plastic parts. Today, most of the existing design guidelines come in the form of experience-based qualitative rules. If the designers already have a detailed geometry of the part, the numerical process simulation program provides another form of design aid. There exists a huge gap between these two types of design aids; the experience-based guidelines are often too vague, while the process simulation programs come too late to impact preliminary part design. To fill this gap, this paper develops physics-based guidelines that utilize dimensional analysis techniques. Experiments and simulation studies can deduce non-dimensional relationships between flow length, thickness, material, and process parameters. The guidelines will aid plastic component designers in determining wall-thickness, gating schemes, and in selecting the material in the preliminary stages of part design. This paper describes the formulation of the non-dimensional charts for fillability assessment, and explains the use of these charts in part design. We further outline an ongoing experimental program to validate and refine our formulation.


2018 ◽  
Vol 7 (4.5) ◽  
pp. 608
Author(s):  
Ch. Nanda Krishna ◽  
M. Ramesh ◽  
Dr. M. Suneetha

Minimizing the cost and utilization of resources in an efficient manner helps any organization in its progress that is growth of the organization. This paper gives an optimized solution for reducing the cost of resources in government services of Transportation. If the data is structured can use any one of the Relational Database Management Systems (RDBMS), if the data is unstructured or semi-structured we can use hadoop for processing the data and analyze the data which is processed by using R. Strategic decision making can be made by the end results that we get from the visualizations of R-Language in-order to get better insights of the business and better decisions can be taken for better growth of the organization.  


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