Optimization In Industry: Industrial Applications

Front Cover
Transaction Publishers, 1971 - Business & Economics - 265 pages
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The origin of any industrial optimization study lies in the theory that some improvement can be made in a controllable system. The possibility for improvements may arise in any context, for example, in the control of a chemical plant, the organization of production to meet delivery dates, the design of rubber compounds, in traffic signal settings, and so on. In this volume, T. A. J. Nicholson deals with applications of the industrial optimization techniques demonstrated in the first volume of this two-part project, Optimization in Industry: Optimization Techniques.

Applications are classified by their main functional areas in industrial planning, design, and control. The fields covered are machine sequencing, stock control and scheduling, plant renewal, distribution, financial problems, and chemical process control and design. These last two, in particular, are subjects often overlooked in operations research curricula. In each field the place and status of optimization techniques is first described and then a wide range of realistic case studies and examples are reviewed, many of them international. The problems given in this volume are primarily concerned with formulation not with solution; the task is to formulate the problems to be solved by one or more of the methods described in volume one.

By connecting the optimization techniques with their applications, the gap between the people devising the methods and the people who actually need to use them is bridged. As with the first volume, this text is also supported by new exercises and model answers making this book important as an introduction to the application of optimization techniques for students as well as a reference work for the practitioner.

T. A. J. Nicholson is senior lecturer at the London School of Business Studies with research and consulting interests in industrial control systems.

 

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Contents

Industrial models for optimization
1
12 Assumptions approximations estimations
2
13 Assessing interrelationships
4
regression techniques
5
15 Adaptive models
9
16 Isolating subsystems
10
17 Optimization policies
12
18 Applications of optimization in industry
13
52 Design of product mixes
99
53 Design of chemical plant
101
54 Design of machinery
104
55 Design and research
106
optimization of optical systems
109
57 Applications in electronics
112
the network crossings problem
113
Plant renewal and location
124

Chemical process control
16
22 Steadystate optimization
20
23 Steadystate optimization of an oxosynthesis process
22
24 Steadystate optimization of a catalytic cracking unit
24
25 The optimization of lime process manufacture
27
26 The dynamic optimization problem
30
27 Dynamic programming control of a batch reaction
31
28 The optimization of multistage processes
37
Machine sequencing and resource utilization
44
32 Optimization problems in machine sequencing
45
33 Optimal solutions to small sequencing problems
48
34 Complex sequencing problems
52
35 Heuristic techniques
56
36 Permutation procedures for sequencing problems
59
37 Inlet controlled scheduling
64
38 Stock cutting to minimize wastage
65
39 The papertrim problem
67
Stock control and production scheduling
74
42 Static deterministic singleproduct models
77
the reorder level and periodic review systems
81
warehousing production smoothing reservoir control
85
production storage and selection
90
Design optimization
98
62 Criteria for replacing a single machine
125
63 Planned renewal of a machine with technological improvement
133
the electricity generating system
141
choosing between preselected sites
148
66 Plant location without preselected sites
152
Distribution and transportation
159
72 A basic distribution problem
160
73 The transportation method
162
74 Extensions of the basic distribution problem
164
75 Finding the shortest route between two points in a network
168
76 Vehicle routing
172
transport fleet scheduling and railway diagramming
176
78 Traffic signal setting
179
Planning in investment and advertising
189
82 Portfolio selection
190
83 Optimal timing of bond refunding
191
84 Financing seasonal cash requirements
193
85 Allocation of funds to interdependent projects
198
static problems
201
87 Dynamic campaigns
203
Answers to exercises
208
Index
251
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