| Description |
1 online resource (267 pages) |
| Contents |
Cover ; Half Title ; Title Page ; Copyright Page; Contents; Foreword; Preface; 1 Industrial models for optimization; 1.1 The construction of models; 1.2 Assumptions, approximations, estimations; 1.3 Assessing interrelationships; 1.4 Proposing mathematical relationships: regression techniques; 1.5 Adaptive models; 1.6 Isolating subsystems; 1.7 Optimization policies; 1.8 Applications of optimization in industry; 2 Chemical process control; 2.1 Chemical process models; 2.2 Steady-state optimization; 2.3 Steady-state optimization of an oxosynthesis process |
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2.4 Steady-state optimization of a catalytic cracking unit2.5 The optimization of lime process manufacture; 2.6 The dynamic optimization problem; 2.7 Dynamic programming control of a batch reaction; 2.8 The optimization of multi-stage processes; 3 Machine sequencing and resource utilization; 3.1 Short-term planning in a factory; 3.2 Optimization problems in machine sequencing; 3.3 Optimal solutions to small sequencing problems; 3.4 Complex sequencing problems; 3.5 Heuristic techniques; 3.6 Permutation procedures for sequencing problems; 3.7 Inlet controlled scheduling |
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3.8 Stock cutting to minimize wastage3.9 The paper-trim problem; 4 Stock control and production scheduling; 4.1 Decisions in stock control and production scheduling; 4.2 Static deterministic single-product models; 4.3 Probabilistic demand: the re-order level and periodic review systems; 4.4 Dynamic models: warehousing, production smoothing, reservoir control; 4.5 Multi-product problems: production, storage and selection; 5 Design optimization; 5.1 Design optimization studies; 5.2 Design of product mixes; 5.3 Design of chemical plant; 5.4 Design of machinery; 5.5 Design and research |
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5.6 Instrument design: optimization of optical systems5.7 Application in electronics; 5.8 Layout problems: the network crossings problem; 6 Plant renewal and location; 6.1 Long-term planning problems; 6.2 Criteria for replacing a single machine; 6.3 Planned renewal of a machine with technological improvement; 6.4 Capacity renewal in an industry: the electricity generating system; 6.5 Plant location problems: choosing between pre-selected sites; 6.6 Plant location without pre-selected sites; 7 Distribution and transportation; 7.1 The range of problems; 7.2 A basic distribution problem |
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7.3 The transportation method7.4 Extensions of the basic distribution problem; 7.5 Finding the shortest route between two points in a network; 7.6 Vehicle routing; 7.7 Timing problems: transport fleet scheduling and railway diagramming; 7.8 Traffic signal setting; 8 Planning in investment and advertising; 8.1 Planning under uncertainty; 8.2 Portfolio selection; 8.3 Optimal timing of bond refunding; 8.4 Financing seasonal cash requirements; 8.5 Allocation of funds to interdependent projects; 8.6 Planning of advertising campaigns: static problems; 8.7 Dynamic campaigns; Answers to exercises |
| Notes |
Includes index |
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Print version record |
| Subject |
Programming (Mathematics)
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Mathematical optimization.
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Mathematical optimization
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Programming (Mathematics)
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| Form |
Electronic book
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| ISBN |
9781351501392 |
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1351501399 |
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