simulări manageriale prin modelare matematică şi tehnici fuzzy

Simulări manageriale prin modelare matematică şi tehnici fuzzy 7
Chap. III. APPLICATIONS OF MANAGERIAL
SIMULATIONS 165
3.1. Determination and simulation of the influence of the production level
and structure on total costs 165
3.1.1. General ideas 165
3.1.2. Determination of the type of function for the modelling of production
cost-structure dependence 166
3.1.3. Determination of production total cost-structure dependences 168
3.1.4. Conclusions 172
3.2. Identification of evolution scenarios compatible with the economic
state of a given geographical area 173
3.2.1. Characterzation of socio-economic state 173
3.2.2. Identification analysis and correction of the model 178
3.3. Simulation of production and commercial processes 186
3.3.1. Development of managerial simulation 186
3.3.2. Specificities of distribution market 186
3.3.3. Decision-making mechanism 188
3.3.4. Role of general manager 192
3.3.5. Concise role of financial manager 193
3.3.6. Role of commercial manager 194
3.3.7. Role of production manager 195
3.4. Simulation of supply processes 197
3.4.1. Decision-making process 197
3.4.2. Relations within the chain of supply 198
3.4.3. Defining the competition factors 201
3.4.4. External market 202
3.4.5. Decisional process 202
3.4.6. Analysis of performance indicators 205
3.5. Simulation of company behaviour 211
3.5.1. Brief presentation of decisional simulations 211
3.5.2. Main strategic decisions made 212
3.5.3. Evaluation of the economic results 217
3.5.4. Debate upon some problems regarding the usual activity of the company 221
3.6. Simulation of economic processes and phenomena with MARKOV
strings with variable extrem and the method of entropy systems 229
3.6.1. Introductory considerations 229
3.6.2. Simulation and forecast of socio-productive systems with entropy 230
3.6.3. Forecast and simulation by means of Markov strings and logistic maximum 237
3.6.4. Forecast of the revenues of main economic sectors within “NE” County 241
3.6.5. Forecast of thereturns to the municipal budget 246
3.7. Simulation by use of fuzzy techniques 257
3.7.1. The F set of rectangular fuzzy numbers 258
3.7.2. Simulation fuzzy algorithm with MARKOV strings 260
3.7.3. Examples of applications of simulation fuzzy algorithm 264