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Delays in construction projects are frequently expensive, since there is usually a construction loan involved which charges interest, management staff dedicated to the project whose costs are time dependent, and ongoing inflation in wage and material prices. Many techniques are used to analyze delays. Some of these methods have inherent weaknesses and should be avoided. This book points out the shortcomings of these faulty methods and explains how a delay analysis should be performed. It then describes specifically how the analysis is done with CPM schedules. A explanation of delays and delay

Construction industry --- Production scheduling. --- Management. --- Job scheduling (Production control) --- Job-shop scheduling --- Project scheduling (Production control) --- Scheduling (Management) --- Production control --- Scheduling --- Building --- Management --- Engineering --- Industrial Engineering

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This work provides teachers with a four-phase lesson planning framework and numerous teaching strategies to build higher-level thinking skills and increase student learning in extended class periods.

Block scheduling (Education) --- High school teaching. --- Teenagers --- Adolescents --- Teen-agers --- Teens --- Young adults (Teenagers) --- Youth --- Secondary school teaching --- Teaching --- 4 x 4 scheduling (Education) --- 4x4 scheduling (Education) --- A/B scheduling (Education) --- Alternative day scheduling (Education) --- Intensive scheduling (Education) --- Schedules, School --- Education.

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This book constitutes the revised papers of the 14th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2009, which was held in Rome, Italy, in May 2009. The 15 revised papers presented were carefully reviewed and selected from 25 submissions. The papers cover all current issues of job scheduling strategies for parallel processing; this year the conference had an increasing trend towards heterogeneous and multi-core architectures.

Parallel processing (Electronic computers) --- Computer capacity --- Production scheduling --- Computer Science --- Engineering & Applied Sciences --- Management --- Job scheduling (Production control) --- Job-shop scheduling --- Project scheduling (Production control) --- Scheduling (Management) --- Capacity, Computer --- Computer science. --- Logic design. --- Computer software --- Microprocessors. --- Software engineering. --- Operating systems (Computers). --- Computer Science. --- Operating Systems. --- Software Engineering/Programming and Operating Systems. --- Processor Architectures. --- Performance and Reliability. --- Logic Design. --- Software Engineering. --- Reusability. --- Computer operating systems --- Computers --- Disk operating systems --- Systems software --- Computer software engineering --- Engineering --- Minicomputers --- Reusability of software --- Reusable code (Computer programs) --- Software reusability --- Software reengineering --- Generic programming (Computer science) --- Design, Logic --- Design of logic systems --- Digital electronics --- Electronic circuit design --- Logic circuits --- Machine theory --- Switching theory --- Informatics --- Science --- Operating systems --- Production control --- Scheduling --- Electronic data processing --- Computer software—Reusability. --- Computer architecture. --- Computers. --- Hardware Performance and Reliability. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Architecture, Computer

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Scheduling in Distributed Computing Systems: Analysis, Design and Models is a research monograph that intends to inculcate the innovative ideas for the scheduling aspect. Although the models in this book have been designed for distributed computing systems, the same information is applicable for any type of system that requires distributed processing. Scheduling in Distributed Computing Systems: Analysis, Design and Models is supposed to dramatically improve the design and management of the processes for industry professionals. This book deals exclusively with the scheduling aspect, which finds little space in other distributed operating system books. Scheduling in Distributed Computing Systems: Analysis, Design and Models is structured for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a reference for graduate-level students in management sciences, and computer science for distributed computing system classes. .

Information Technology --- Computer Science (Hardware & Networks) --- Electronic data processing -- Distributed processing -- Congresses. --- Internet -- Congresses. --- Electronic data processing --- Computer scheduling --- Engineering & Applied Sciences --- Computer Science --- Distributed processing --- Computer scheduling. --- Distributed processing. --- Processor scheduling (Electronic data processing) --- Scheduling of electronic data processing --- Distributed computer systems in electronic data processing --- Distributed computing --- Distributed processing in electronic data processing --- Scheduling --- Computer science. --- Input-output equipment (Computers). --- Computer organization. --- Computer communication systems. --- Computer system failures. --- Operating systems (Computers). --- Computers. --- Computer Science. --- Computer Communication Networks. --- Operating Systems. --- Computer Systems Organization and Communication Networks. --- Input/Output and Data Communications. --- System Performance and Evaluation. --- Information Systems and Communication Service. --- Production scheduling --- Time-sharing computer systems --- Computer networks --- Computer network architectures. --- Data transmission systems. --- Computer system performance. --- Information systems. --- Data communication systems --- Transmission of data --- Digital communications --- Electronic systems --- Information theory --- Telecommunication systems --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture --- Computer operating systems --- Computers --- Disk operating systems --- Systems software --- Operating systems --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Computer failures --- Computer malfunctions --- Failure of computer systems --- System failures (Engineering) --- Fault-tolerant computing --- Computer I/O equipment --- Electronic analog computers --- Electronic digital computers --- I/O equipment (Computers) --- Input equipment (Computers) --- Input-output equipment (Computers) --- Output equipment (Computers) --- Organization, Computer --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Failures --- Input-output equipment

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Two-stage stochastic programming models are considered as attractive tools for making optimal decisions under uncertainty. Traditionally, optimality is formalized by applying statistical parameters such as the expectation or the conditional value at risk to the distributions of objective values. Uwe Gotzes analyzes an approach to account for risk aversion in two-stage models based upon partial orders on the set of real random variables. These stochastic orders enable the incorporation of the characteristics of whole distributions into the decision process. The profit or cost distributions must pass a benchmark test with a given acceptable distribution. Thus, additional objectives can be optimized. For this new class of stochastic optimization problems, results on structure and stability are proven and a tailored algorithm to tackle large problem instances is developed. The implications of the modelling background and numerical results from the application of the proposed algorithm are demonstrated with case studies from energy trading.

Decision making. --- Stochastic analysis. --- Stochastic programming. --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Theory --- Linear programming. --- Computer science. --- Software engineering. --- Mathematics. --- Probabilities. --- Computer Science. --- Software Engineering. --- Probability Theory and Stochastic Processes. --- Mathematics, general. --- Production scheduling --- Programming (Mathematics) --- Linear programming --- Distribution (Probability theory. --- Math --- Science --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Computer software engineering --- Engineering --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk