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LECTURE 7. Course: “Design of Systems: Structural Approach” Dept. “Communication Networks &Systems”, Faculty of Radioengineering & Cybernetics Moscow Inst. of Physics and Technology (University) . Mark Sh. Levin Inst. for Information Transmission Problems, RAS.
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LECTURE 7. Course: “Design of Systems: Structural Approach” Dept. “Communication Networks &Systems”, Faculty of Radioengineering & Cybernetics Moscow Inst. of Physics and Technology (University) Mark Sh. Levin Inst. for Information Transmission Problems, RAS Email: mslevin@acm.org / mslevin@iitp.ru PLAN: 1.Concurrent engineering (concurrent processes, concurrency in life cycle) 2.Hierarchical system design 3.Some examples of applied systems (e.g., manufacturing systems) 4.Some problems in mobile communication systems Sept. 17, 2004
Illustration for concurrent engineering Series process 3 4 2 1 5 Process 1 Process 2 Process 3 Process 4 Process 5 t 0 T =ki=1i Process 1 Process 2 Process 3 Concurrent scheme A Process 4 Process 5 0 t T1 < T Concurrent scheme B Process 1 Process 2 Process 3 Process 4 Process 5 0 t Tp < T1 < T
Concurrency in life cycle Cycle 1 Cycle 2 R & D Manuf. Market Utiliz. Recycl. R & D Manuf. Market Utiliz. Recycl. t 0 T 2T Scheme A 0 t PLUS modularity, configuration management Scheme B 0 t
Concurrency in life cycle for several products ORGANIZATIONAL DIRECTION: concurrency, modularity, configuration management, and coordination for products A, B, etc. Product A . . . 0 t Product B . . . 0 t
Hierarchical system design Set of the best system decisions SYSTEM BOTTOM-UP PROCESS C E A B D Selection process: 1.Contsraints 2.Multicriteria selection (ranking) 3.Optimization approach 4.Expert judgment Set of alternatives Composition of selected alternatives Selection of the best alternatives
Main approaches to system design 1.Multidisciplinary optimization (e.g., aerospace engineering, structural engineering) 2.Mixed integer non-linear programming (e.g., chemical engineering, process, systems engineering) 3.Non-linear multicriteria (multiobjective) optimization including evolutionary multiobjective optimization 4.Formal methods in design (e.g., mechanical engineering) 5.Global optimization methods 6.Grammatical design (i.e., grammar description of decomposable systems) 7.Methods of artificial intelligence (knowledge-based systems, neural networks, genetic algorithms, etc.) (e.g., computer engineering, VLSI design) 8.Parameter Space Investigation PSI (e.g., mechanical engineering, nuclear engineering) 9.Hierarchical system design (traditional engineering organizational methods, modular design methods, combinatorial synthesis) 10.Hybrid methods