CHEMICAL LOGISTICS
CONTENTS PART I INTRODUCTION SUPPLY CHAIN AND SUPPLY CHAIN MANAGEMENT INTRODUCTION TERMS AND DE?NITIONS NETWORK DYNAMICS AND MANAGEMENT OF THE SUPPLY CHAIN DESIGN CRITERIA/INTEGRATION CONCEPTS SCOR: MODELING THE SUPPLY CHAIN SUMMARY REFERENCES PART II SIMULATION LOGISTICS SIMULATION IN THE CHEMICAL INDUSTRY AREAS OF APPLICATION FOR LOGISTICS SIMULATION IN THE PROCESS INDUSTRY THE SIMULATION PROCESS IN MANUFACTURING AND LOGISTICS CASE STUDIES BENE?TS AND EXPENSES OF SIMULATION PROJECTS HOW A SIMULATOR WORKS DEVELOPMENTS IN THE FIELD OF LOGISTICS SIMULATION LOGISTIC SIMULATION OF PIPELESS PLANTS PIPELESS BATCH PLANTS PPSIM–PIPELESS PLANT SIMULATION INDUSTRIAL CASE STUDY CONCLUSIONS PART III INDUSTRIAL SOLUTIONS PLANNING LARGE SUPPLY CHAIN SCENARIOS WITH “QUANT-BASED COMBINATORIAL OPTIMIZATION” THE LIMITS OF TRADITIONAL LP QUANT-BASED COMBINATORIAL OPTIMIZATION TYPICAL PLANNING SCENARIOS IN THE PROCESS INDUSTRY CONSTRAINTS ADDITIONAL MODELING ELEMENTS OF THE QUANT-BASED COMBINATORIAL OPTIMIZATION THE SOLUTION APPROACH SPECIAL REQUIREMENTS AND ADVANCED MODELING FEATURES FOR THE CHEMICAL INDUSTRY SCHEDULING AND OPTIMIZATION OF A COPPER PRODUCTION PROCESS COPPER PRODUCTION PROCESS SCHEDULING PROBLEM SOLUTION APPROACH RESULTS STOCHASTIC TOOLS IN SUPPLY CHAIN MANAGEMENT RANDOM DEMAND RANDOM SERVICE (AND SHORTAGE) OPTIMIZATION OF SERVICE SOLUTION TECHNIQUE IMPLEMENTATION IN BAYAPS PP PART IV OPTIMIZATION METHODS ENGINEERED MIXED-INTEGER PROGRAMMING IN CHEMICAL BATCH SCHEDULING THE CASE STUDY AN ENGINEERED APPROACH TO OPTIMAL SCHEDULING NONLINEAR SHORT-TERM SCHEDULING MODEL LINEARIZED SHORT-TERM MODEL COMPARATIVE NUMERICAL STUDIES MILP OPTIMIZATION MODELS FOR SHORT-TERM SCHEDULING OF BATCH PROCESSES CLASSI?CATION OF BATCH SCHEDULING PROBLEMS CLASSI?CATION OF OPTIMIZATION MODELS FOR BATCH SCHEDULING REVIEW OF SCHEDULING MODELS COMPUTATIONAL COMPARISON DISCRETE VS CONTINUOUS APPROACHES CONCLUDING REMARKS AND FUTURE DIRECTIONS ACKNOWLEDGEMENTS UNCERTAINTY CONSCIOUS SCHEDULING BY TWO-STAGE STOCHASTIC OPTIMIZATION SCHEDULING UNDER UNCERTAINTY USING A MOVING HORIZON APPROACH WITH TWO-STAGE STOCHASTIC OPTIMIZATION TWO-STAGE STOCHASTIC INTEGER PROGRAMMING A STAGE DECOMPOSITION BASED EVOLUTIONARY ALGORITHM NUMERICAL STUDIES SCHEDULING BASED ON REACHABILITY ANALYSIS OF TIMED AUTOMATA SCHEDULING WITH TIMED AUTOMATA REACHABILITY ANALYSIS BENCHMARK EXAMPLE PART V INTERACTION WITH ERP SYSTEMS INTEGRATED SHORT AND MIDTERM SCHEDULING OF CHEMICAL PRODUCTION PROCESSES – A CASE STUDY ADVANCED PLANNING IN CHEMICAL INDUSTRIES CASE STUDY MODELING THE CASE STUDY SCENARIO IN MYSAP SCM SOLVING THE CASE STUDY SCENARIO IN MYSAP SCM CONCLUSION INTEGRATION OF SCHEDULING WITH ERP SYSTEMS PRODUCTION SCENARIOS THE PLANNING PROBLEM AND A SOLUTION APPROACH DATA MODEL PLANNING SOFTWARE REMARKS ON PLANNING PHILOSOPHY REMARKS ON TECHNICAL ISSUES