Industrial Objectives and Industrial Performance

Lamia Berrah, Laboratory of Computer Science, Systems, Information Processing and Knowledge (LISTIC) - University of Savoy - Annecy, France. Vincent Clivillé, Laboratory of Computer Science, Systems, Information Processing and Knowledge (LISTIC) - University of Savoy - Annecy, France. Laurent Foulloy, Laboratory of Computer Science, Systems, Information Processing and Knowledge (LISTIC) - University of Savoy - Annecy, France.

• Foreword ixChapter 1. The Industrial System 11.1. Introduction 11.2. The RB company’s “Hydraulic Cylinder Production” line 21.2.1. The Overall Equipment Effectiveness – OEE 41.2.2. The Non-compliance rate 51.2.3. The Throughput time 51.3. Characterization of the industrial system 61.3.1. General comments about systems theory 71.3.2. The role of the observer 121.3.3. Abstraction levels 131.3.4. Structure of the industrial system 141.3.5. Behavior of the industrial system 171.3.6. To summarize these system characteristics 231.4. A few words about information handling for the “Hydraulic Cylinder Production” line of the RB company 241.5. Objectives and systems theory 261.6. Summary 29Chapter 2. Industrial Objectives: The Variable 312.1. Introduction 312.2. The objective and the variable: re-reading the tale of the chicken and the egg 342.3. Definition of the notion of a variable 372.4. When a variable becomes a criterion 422.5. Industrial typology 472.5.1. Key success factors and key performance factors 492.5.2. Strategic, tactical and operational variables 502.5.3. Action variables and state variables 512.5.4. Customer satisfaction, productivity and context 532.6. Relationships between variables: industrial practice 542.6.1. Hierarchical approaches 542.6.2. Cognitive approaches 602.7. Semantic and choice of a variable: the power of an intention 622.8. Summary 68Chapter 3. Industrial Objectives: The Value 713.1. Introduction 713.2. A value to define the objective 733.3. The value and the intention 783.3.1. The desire-objective 783.3.2. The requirement-objective 803.3.3. Inadequacy, improvement and desire 843.3.4. The value, the desire-objectives and the requirement-objectives 873.4. The value and the time 893.4.1. Achieving the objective, a question of time 893.4.2. Some characteristics of the temporal horizon 913.4.3. Summary 943.5. The observer’s intention and the temporal horizon: converging perspectives 953.6. What is said about objectives 973.7. Summary 105Chapter 4. Industrial Objectives: A Fuzzy Formalization to Move from Natural Language to Numbers 1074.1. Introduction 1074.2. The interest of using the theory of fuzzy subsets 1094.3. When Mr. C.C. expresses himself about the Throughput time of the “Hydraulic Cylinder Production” line 1134.4. Numbers and words 1144.5. Graduality and fuzzy subsets 1214.5.1. Membership function 1214.5.2. Fuzzy meaning and description 1244.6. Operations between fuzzy subsets 1264.6.1. Fuzzy union, intersection and complement 1264.6.2. Example of use of the operator of fuzzy union. 1274.6.3. Example of use of the fuzzy intersection operator 1294.6.4. Triangular norms 1324.6.5. Triangular conorms 1334.7. Imprecision of measurements and theory of possibilities 1344.7.1. Generalities about measurement uncertainties 1364.7.2. Confidence intervals and possibility distribution 1384.7.3. Fuzzy descriptions of an imprecise measurement 1414.8. Summary 144Chapter 5. Industrial Objectives: Outlining Performance Expression 1475.1. Introduction 1475.2. The notion of performance 1485.2.1. General comments 1485.2.2. Industrial performance 1515.3. From performance to performance expression 1555.3.1. General comments 1555.3.2. Semantics of performance expression 1575.4. The process of precisiation of the finality into objectives: model and notations 1595.4.1. Principle 1605.4.2. From the finality to the goal variables 1625.4.3. From goal variables to objective variables 1635.4.4. The process of precisiation 1635.4.5. Objective attributes 1635.5. Computation of performance expression: our assumptions 1695.6. Summary 171Chapter 6. Industrial Objectives: Computation of Performance Expression of the Desire-Objective 1736.1. Introduction 1736.2. Returning to the notion of the desire-objective 1746.3. “Computation” of the performance expression of a desire-objective 1766.4. The observer expresses their “feeling” directly 1786.5. The observer has a measurement value associated with the considered variable 1796.6. The observer has a set of measurement values or of information associated with the considered variable 1826.7. Looking back over computation 1876.8. Summary 189Chapter 7. Industrial Objectives: Computation of the Performance Expression of the Requirement-Objective 1917.1. Introduction 1917.2. Returning to the notion of a requirement-objective 1927.3. A few points about the notion of scale 1947.4. Computation of the performance expression for the improvement-objective 1967.4.1. The observer computes a numerical performance expression 1977.4.2. The observer computes a linguistic performance expression 2047.4.3. Looking back over the computation 2127.5. Computation of the performance expression of the inadequacy-objective 2147.5.1. The observer computes a performance expression 2157.5.2. The observer computes a performance expression and represents it visually 2207.5.3. Looking over the computation 2277.6. Summary 227Conclusion 229Bibliography 233Index 249