This volume contains selected papers presented at a UK-Japanese Workshop held at Churchill College, Cambridge, July 1995. The first group of papers looks at modelling, and solution techniques that have proved useful in the operational and strategic levels of manufacturing-greedy algorithms, Markov Decision processes and Petri Nets. Further papers concentrate on operational aspects of manufacturing in an uncertain environment. The last group describes interesting problems. The volume shows that the need for stochastic modelling is an important factor in support of decision making, and that this is a growing, exciting and rewarding area of research.
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First Sentence:
We consider a general stochastic production model made up of a set of production or processing units, which may be thought of as being machines, workstations or reactors. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
two parity disks, abnormal roll change, parity sparing, best response method, sparing architecture, delay time concept, optimal selection problem, imperfect debugging environment, optimal replacement time, age replacement problem, different demand scenarios, basic information patterns, planned backlog, stochastic ordering relations, distributed sparing, machine permutation, reliability demonstration testing, buffer plot, sparing methods, delay time distribution, mean firing time, expected cost rate, buffer arrangement, monotone rule, total expected reward Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Japan Abstract, Management Science, Computer Science, Total Backlog, John Wiley, Operational Research Society, Poisson All, British Steel, Software Engineering, Objective Value, University of Edinburgh, International Journal of Production Research, Motor Corporation, Negative Binomial, Pool Delay, University of Salford, Academic Press, Aichi Institute of Technology, Applied Statistics, European Journal of Operational Research, Monte Carlo, San Francisco, Differentsial'nye Uravneniya, Faculty of Engineering New!
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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
We consider a general stochastic production model made up of a set of production or processing units, which may be thought of as being machines, workstations or reactors. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
two parity disks, abnormal roll change, parity sparing, best response method, sparing architecture, delay time concept, optimal selection problem, imperfect debugging environment, optimal replacement time, age replacement problem, different demand scenarios, basic information patterns, planned backlog, stochastic ordering relations, distributed sparing, machine permutation, reliability demonstration testing, buffer plot, sparing methods, delay time distribution, mean firing time, expected cost rate, buffer arrangement, monotone rule, total expected reward Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Japan Abstract, Management Science, Computer Science, Total Backlog, John Wiley, Operational Research Society, Poisson All, British Steel, Software Engineering, Objective Value, University of Edinburgh, International Journal of Production Research, Motor Corporation, Negative Binomial, Pool Delay, University of Salford, Academic Press, Aichi Institute of Technology, Applied Statistics, European Journal of Operational Research, Monte Carlo, San Francisco, Differentsial'nye Uravneniya, Faculty of Engineering New!
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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Citations (learn more)
This book cites 39
books:
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- Comparison Methods for Queues and Other Stochastic Models (Wiley Series in Probability and Statistics) by Professor Dietrich Stoyan on page 29, and page 224
- Operations Research by Frederick S. Hillier on page 17, and page 307
- New York by Tama Janowitz on page 28, and page 280
- Data Analysis (New Topics for Secondary School Mathematics) by Nc School of Sci and Math on page 186, and Back Matter
- Stochastic Processes by Sheldon M. Ross on page 154, and page 256
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