Optimization: algorithms and consistent approximations
Optimization: algorithms and consistent approximations
Quantitative Models for Supply Chain Management
Quantitative Models for Supply Chain Management
Designing And Managing The Supply Chain
Designing And Managing The Supply Chain
Proceedings of the 35th conference on Winter simulation: driving innovation
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This paper describes a distributed dynamic model of enterprise systems via a network of elements which are abstractions of biological membranes. Membrane characteristics such as active sites controlling the flow of substances correspond to local feedback laws in the elements of the supply chain of the enterprise. Flow conservation and chemical reactions of substances across the membrane are abstracted to represent component flow interaction in the supply chain. The model characteristics are illustrated with a simulation example. This model methodology is completely encodable. It provides a blueprint for highly automated model generation of enterprise systems, and for on-line generation of continuous repair implementations of planning, scheduling and execution applications. The proposed embedded distributed control system allows for the realization of diverse optimization strategies because a given criterion is approximated by a generic criterion via the penalty method. The control system also satisfies network element constraints and inter-element synchronization requirements.