The Hog Problem: Integrated Logistics Executive Summary The hog slaughtering plant located in Brendon‚ Manitoba has the capacity to slaughter 2.5 million hogs per year‚ around 50‚000 per week and 10‚000 per day. Hogs arrive at the slaughter plant from all over Manitoba and certain parts of Saskatchewan via truck. Every farm is located within a different distance from the slaughter facility and delivery lead times vary from as low as half an hour to as high as three and a half
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Regression Analysis: Predicting for Detroit Tigers Game Managerial Economics BSNS 6130 December 13‚ 2012 By: Morgan Thomas Chad Goodrich Jake Dodson Austin Burris Brittany Lutz Abstract As there are many who invest in athletic events‚ the ability to better predict attendance to such events‚ such as the Detroit Tigers games‚ could benefit many. The benefits include being able to better stock concessions stands‚ allocate advertising budgets‚ and staff security. Therefore‚ the aim
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Package ‘randomForest’ February 20‚ 2015 Title Breiman and Cutler ’s random forests for classification and regression Version 4.6-10 Date 2014-07-17 Depends R (>= 2.5.0)‚ stats Suggests RColorBrewer‚ MASS Author Fortran original by Leo Breiman and Adele Cutler‚ R port by Andy Liaw and Matthew Wiener. Description Classification and regression based on a forest of trees using random inputs. Maintainer Andy Liaw <andy_liaw@merck.com> License GPL (>= 2) URL http://stat-www.berkeley.edu/users/breiman/RandomForests
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Third-party logistics company CEVA Logistics has appointed Didier Chenneveau to lead its growing business in Asia-Pacific. Chenneveau is currently executive vice president and chief supply chain officer for LG Electronics‚ with worldwide responsibility for global supply chain management for the company’s $50 billion operations. Prior to joining LG in 2008‚ Didier was vice president of Americas operations for HP’s Imaging and Printing Business. He was based in San Diego. He also worked in Europe
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About Retail Logistics Logistics is a process of planning‚ implementing‚ and controlling the operations of the supply chain activities to look upon the customer needs more efficiently. It involves planning and management of all activities involved in sourcing and procurement and in conversion of final products. The use of logistics in the Retail industry has led to low fulfillment costs‚ shorter delivery times‚ and enhanced ability to focus on service delivery rather than on administrative processes
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2008 Reverse Logistics* How to realise an agile and efficient reverse chain within the Consumer Electronics industry *connectedthinking 4 PricewaterhouseCoopers Foreword Welcome to PricewaterhouseCoopers’ first Reverse Logistics report in the Consumer Electronic industry. This report is designed to help companies in the Consumer Electronics industry to better explore‚ understand and share the ideas about today’s pressing business and strategic topic: Reverse Logistics. Our unique
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PREFACE Over the last few years‚ the concept of logistics has become more and more recognized‚ it has even become a vital part of foreign trade activities. Integrating with the trend of globalization‚ Vietnam has gradually developed forwarding and logistics industry‚ created incentives to develop export and import activities in the country. After a long period of time fostering professional knowledge‚ I found this internship program a chance that the university had offered to students to gain actual
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APPLIED EPIDEMIOLOGY 1. Discuss odds ratio. An odds ratio (OR) is a measure of association between an exposure and an outcome. The OR represents the odds that an outcome will occur given a particular exposure‚ compared to the odds of the outcome occurring in the absence of that exposure. Odds ratios are most commonly used in case-control studies‚ however they can also be used in cross-sectional and cohort study designs as well (with some modifications and/or assumptions). In statistics‚
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THE EVALUATION OF CREDIT RISKS OF MONGOLIAN BANKS USING ARTIFICIAL NEURAL NETWORK AND SELECTED ECONOMETRIC MODELS Battulga Otgonbaatar Manduhai Mendbayar Shurentsetseg Byambatsogt Institute of Finance and Economics of Mongolia/ Economic department Abstract The importance of optimal decision-making and precise predictions is not limited to banks only but also of importance to other financial institutions. Nowadays‚ financial markets are becoming increasingly uncertain and interdependent‚
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What is Mode Choice Model? Mode Choice models define travelers’ choice towards choosing various modes like public transport or private transport modes. These models take into account all the input variables about each possible mode of transport that the traveler has available for the trip and gives the proportion of travelers which would use each mode of transport. This model sometimes called a mode split model. Mode choice model helps in building trip matrix and mode split model separates this matrix
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