doi:10.3926/jiem.2010.v3n1.p11-32 JIEM, 2010 – 3(1): 11-32 – Online ISSN: 2013-0953 Print ISSN: 2013-8423 A case study of lean, sustainable manufacturing Geoff Miller1, Janice Pawloski2, Charles Standridge 3 1 Grand Rapids Chair Company (USA); 2, 3 School of Engineering, Grand Valley State University (USA) geoff@grandrapidschair.com; pawloskj@gvsu.edu; standric@gvsu.edu Received December 2009 Accepted May 2010 Abstract: A small furniture production company has integrated lean tools
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------------------------------------------------- University of Ottawa School of Electrical Engineering and Computer Science (EECS) ELG 4913 Final Report Project Title: Solar Panel Enhancement System Executive Summary The project is to enhance the functionality of the solar panels. Our project is divided onto three main parts. Snow and dust can prevent the
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are commonly used as sensors. The appearance is same as a common LED. Since the human eye cannot see the infrared radiations, it is not possible for a person to identify whether the IR LED is working or not, unlike a common LED. To overcome this problem, the camera on a cellphone can be used. The camera can show us the IR rays being emanated from the IR LED in a circuit. SENSOR A sensor (also called detector) is a converter that measures a physical quantity and converts it into a signal which
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of considerable assistance to the manager in his decision-making process. In fact actual problem-solving may require many skills and tools which are not available in the traditional economist’s. For example, knowledge of accounting and of statistical concepts and methods, which are not taught in economics, can help the analyses to apply more effectively the economic tools in a concrete situation. The problems of industrial management do not neatly fall into one academic discipline or another. Rather
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3PART ONE * Lecture 1 (01/09) Posted on: Monday, January 28, 2013 Topics: Stable Matching Reading: class handout * Lecture 2 (01/14) Posted on: Thursday, January 24, 2013 Topics: Graph Representation, BFS, DFS Reading: CLRS (Sections 22.1, 22.2, 22.3), KT (3.2, 3.3) Notes: 2 possible representations of a graph 1. Adjacency Matrix-used for dense graphs (V2 memory space) a. Aij=1 if edge exists between I and J but 0 if not 2. Adjacency List- Used for sparse graphs (V+E
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and news from some of the leading minds in the software industry. Contents 1 Introduction 1.1 What this book is, and what it isn’t . . . 1.2 Assumed knowledge . . . . . . . . . . . . 1.2.1 Big Oh notation . . . . . . . . . . 1.2.2 Imperative programming language 1.2.3 Object oriented concepts . . . . . 1.3 Pseudocode . . . . . . . . . . . . . . . . . 1.4 Tips for working through the examples . . 1.5 Book outline . . . . . . . . . . . . . . . . 1.6 Testing . . . . . . . . . . . . . . . . . . . 1
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States Georgia Institute of Technology, 765 Ferst Dr., Atlanta, GA 30332-0205, United States a r t i c l e i n f o a b s t r a c t This paper presents a detailed survey of the research on warehouse design, performance evaluation, practical case studies, and computational support tools. This and an earlier survey on warehouse operation provide a comprehensive review of existing academic research results in the framework of a systematic classification. Each research area within this framework
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Databases Abstract: The cloud database as a service is a novel paradigm that can support several Internet-based applications, but its adoption requires the solution of information confidentiality problems. We propose a novel architecture for adaptive encryption of public cloud databases that offers an interesting alternative to the tradeoff between the required data confidentiality level and the flexibility of the cloud database structures at design
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CHAPTER 1 INTRODUCTION 1.1 History A forklift (also called a lift truck, a high/low, a stacker-truck, trailer loader, side loader or a fork hoist) is a powered industrial truck used to lift and transport materials. The modern forklift was developed in the 1920s by various companies including the transmission manufacturing company Clark and the hoist company Yale & Towne Manufacturing. The forklift has since become an indispensable piece of equipment in manufacturing and warehousing operations
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zetabytes data. These options are Cassendara, Mongodb and HBase. We will discuss about them one by one and in a proper research method and will compare them in order to contrast their difference and efficiency. Research Background One problem in understanding the phenomenon is that the size of these data sets the volume greatly exceeds the Data warehouse. A plane collects 10 terabytes of information from sensors every 30 minutes flight, while the Stock Exchange of New York collects structured
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