Manufacturing and Service Enterprise with Risks (eBook)

A Stochastic Management Approach

Masayuki Matsui (Autor)

eBook Download: PDF

2008 | 2009
XI, 282 Seiten
Springer US (Verlag)
978-0-387-84804-4 (ISBN)

Infos

The subject for this book is my life work on the enterprise modeling and integration by a stochastic/queuing form, and the book plan was conceived before my stay in the USA in 1996-97 as a visiting scholar. The rst title was 'Stochastic Management and Design of Manufacturing Systems.' The rst version was attempted in 2001; however, this version was inappropriate and was not revised till now. It is 40 years since I attempted a stochastic approach to manufacturing and management due to the limitations of statistical approaches. The century in which industrial engineering and management rose to the forefront was one in which a static/statistical approach was applied to the development of classical models and general/average theory. This book presents a stochastic management approach to the manufacturing and service enterprise with risks by a game/strategic view, and is based on many papers in production/queueing studies that have appeared in famous journals. The book's objective is to discuss and show the goals and constraints on manufacturing and service enterprises, and to provide a strategic/collaborative solution for management with risks in heterogeneity. This book mainly focuses on the three manufacturing classes: continuous, poi- wise, and exible stream types under risks. These manufacturing streams are rst studied using the respective stochastic processes, and are characterized and dev- oped as a queueing/strategic control problem of look-ahead/buffer, selection/swit- over, and arrangement/routings. Moreover, the behaviors of some design/control variables are shown and useful theories for design are established.

In writing this book, Prof. Matsui draws from his more than 35 years of research in production and queueing studies. The book will mainly focus upon strategic classes: continuous, pair-wise, and flexible stream types under risks.

 

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The subject for this book is my life work on the enterprise modeling and integration by a stochastic/queuing form, and the book plan was conceived before my stay in the USA in 1996-97 as a visiting scholar. The rst title was "e;Stochastic Management and Design of Manufacturing Systems."e; The rst version was attempted in 2001; however, this version was inappropriate and was not revised till now. It is 40 years since I attempted a stochastic approach to manufacturing and management due to the limitations of statistical approaches. The century in which industrial engineering and management rose to the forefront was one in which a static/statistical approach was applied to the development of classical models and general/average theory. This book presents a stochastic management approach to the manufacturing and service enterprise with risks by a game/strategic view, and is based on many papers in production/queueing studies that have appeared in famous journals. The book's objective is to discuss and show the goals and constraints on manufacturing and service enterprises, and to provide a strategic/collaborative solution for management with risks in heterogeneity. This book mainly focuses on the three manufacturing classes: continuous, poi- wise, and exible stream types under risks. These manufacturing streams are rst studied using the respective stochastic processes, and are characterized and dev- oped as a queueing/strategic control problem of look-ahead/buffer, selection/swit- over, and arrangement/routings. Moreover, the behaviors of some design/control variables are shown and useful theories for design are established.

Inhalt

Preface 6
Contents 9
About the Author 11
Introduction 12
Management in the Age of Risk 13
1.1 Introduction 13
1.2 Target Enterprise 13
1.3 Management Goal and Risks 16
1.4 Objectives of this Book 18
References 19
Stochastic Management Approach 20
2.1 3M& I and Stochastic Approach
Remarks 26
References 27
2.2 Risk Chains and Balancing 28
Remarks 34
References 34
Stochastic Management Model 36
Management Cycle Model 37
3.1 Process Cycle Model 37
3.1.1 Introduction 37
3.1.2 Manufacturing Process Cycle 37
3.1.3 Single Cycle Models 37
3.1.4 Single and Multiple Models 41
Remarks 43
References 43
3.2 Limit-Cycle Model 44
3.2.1 Introduction 44
3.2.2 Management Cycle 44
3.2.3 Mathematical Formulation 46
3.2.4 Numerical Considerations 49
Remarks 52
References 54
Management with Sales Risk 56
4.1 Management Game/Strategic View 56
4.1.1 Introduction 56
4.1.2 Management View and Module 56
4.1.3 Management Design Method 59
4.1.4 Simple Enterprise type 61
4.1.5 Management Strategy 64
Remarks 67
References 67
4.2 Service Versus Manufacturing Model 69
4.2.1 Introduction 69
4.2.2 Management Game Model 69
4.2.3 Service Type MGM 71
4.2.4 Pair-Matrix Table 74
Remarks 77
References 78
Stream Risk Processes 79
Continuous Risk Stream 80
5.1 Line DesignWithout Stoppers 80
5.1.1 Introduction 80
5.1.2 Explanation of the Model 81
5.1.3 Total Line Balancing 84
5.1.4 Optimal Design Example 87
References 89
5.2 Line Design with Stoppers 91
5.2.1 Introduction 91
5.2.2 Station-Centered Approach 91
5.2.3 Numerical Consideration 94
5.2.4 Further Consideration 96
References 98
Point-Wise Risk Processes 99
6.1 Periodic Type Strategy 99
6.1.1 Introduction 99
6.1.2 Stochastic Model 100
6.1.3 Objective Functions 103
6.1.4 Cooperative Case 105
6.1.5 Cooperative versus Non-Cooperative Type 108
References 110
6.2 Dynamic Type Strategy 112
6.2.1 Introduction 112
6.2.2 Stochastic Model 112
6.2.3 Objective Functions 113
6.2.4 Optimal Control 118
References 121
Flexible Risk Processes 122
Flexible Cell System 123
7.1 Flexible Assembly System (FAS) 123
7.1.1 Introduction 123
7.1.2 A FAS Model 123
7.1.3 Three Station Case 125
7.1.4 Concluding Remarks 128
References 128
7.2 FAS with Generalized CSPSs 130
7.2.1 Introduction 130
7.2.2 Simple FAS Model 130
7.2.3 Two-Stage Design Procedures 133
7.2.4 Management Design Strategy 135
References 138
Job/Customers Routing 140
8.1 Flexible Machining System (FMS) 140
8.1.1 Introduction 140
8.1.2 The Model: Fixed and Dynamic 141
8.1.3 Performance Evaluation 143
8.1.4 Fixed versus Dynamic Routing 147
Remarks 149
References 150
8.2 FMS/FAS and Optimal Routing 151
8.2.1 Introduction 151
8.2.2 Explanation of the Model 151
8.2.3 Throughputs for the System 153
8.2.4 Comparative Rules 157
References 159
Ellipse Management with Risks 160
Assembly Enterprise 161
9.1 Efficient Assembly and Reconfiguration 161
9.1.1 Introduction 161
9.1.2 Efficient Assembly Problem 162
9.1.3 Strategic Map 164
9.1.4 Strategic Consideration 166
References 169
9.2 Mixed Line Design with Look-Ahead 171
9.2.1 Introduction 171
9.2.2 Design Problem 171
9.2.3 Setting of Look-Ahead 174
9.2.4 Optimal Design Example 175
References 180
NonAssembly Type 181
10.1 Job-Shop Enterprise and Ellipse Strategy 181
10.1.1 Introduction 181
10.1.2 Management/Design Problem 181
10.1.3 Two-Stage Design 183
10.1.4 Management Strategy 186
10.1.5 Actual Situation 188
References 189
10.2 Flexible Enterprise and Ellipse Strategy 191
10.2.1 Introduction 191
10.2.2 CSM with Sales 191
10.2.3 Operating Cost 194
10.2.4 Design Method 196
10.2.5 Ellipse Theory 199
References 202
Demand and Supply Risk Chain 204
2MGM Chains and Balancing 205
11.1 Serial SCM and Balancing 205
11.1.1 Introduction 205
11.1.2 Balancing Problem 205
11.1.3 Formulation and Objectives 207
11.1.4 Simple SCM Case 209
11.1.5 Assembly SCM Case 211
References 213
11.2 Make-or-Buy and Retail SCMs 214
11.2.1 Introduction 214
11.2.2 Overview of the Research 215
11.2.3 Two Parallel Models 215
11.2.4 Markovian Analysis 218
11.2.5 Balancing Consideration 220
Remarks 224
References 224
Manufacturing SCM 226
12.1 Push Versus Pull System 226
12.1.1 Introduction 226
12.1.2 Models for Lot Production 226
12.1.3 Operating Cost 228
12.1.4 Push Versus Pull 232
12.1.5 Management Strategy 235
References 237
12.2 Toyota Versus Dell Strategy 238
12.2.1 Introduction 238
12.2.2 SCM Balancing 238
12.2.3 Toyota and Dell 240
12.2.4 Total versus Integral 243
References 246
Emerging Challenge 248
Pair-Strategic Map Issues 249
13.1 Conflict of Business and Manufacturing 249
13.2 Pair-Strategic Map 249
13.3 Strategy for Profit Maximization 251
13.4 Strategy for Four Points 253
References 255
Summary and Remarks 256
14.1 Introduction 256
14.2 Two-Center Issues 256
14.3 Balancing Issues 258
14.4 Balancing of Limited-Cycle 259
References 261
A Theory of Demanded-to-Supply Economics 262
A.1 Introduction 262
A.2 Demand-and-Supply System 262
A.3 A System of Efficiencies 263
A.4 Demand-to-Supply Formulas 263
A.5 Further Formulas 264
References 265
Index 266

Produkt-Details

• Erscheint lt. Verlag: 9.10.2008
• Reihe/Serie: International Series in Operations Research & Management Science
• Reihe/Serie: International Series in Operations Research & Management Science
• Zusatzinfo: XI, 282 p.
• Verlagsort: New York
• Sprache: englisch
• Themenwelt: Technik ► Bauwesen
• Themenwelt: Technik ► Maschinenbau
• Themenwelt: Wirtschaft ► Allgemeines / Lexika
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management
• Schlagworte: ellipse theory/ balanced scorecard • enterprise modeling • Management • manufacturing queues • Model • Operations Research • Production • Service • service/sales enterprise • Stochastic Processes • strategic/gaming management • Strategy • Supply Chain Management
• ISBN-10: 0-387-84804-5 / 0387848045
• ISBN-13: 978-0-387-84804-4 / 9780387848044