A spatial superstructure approach to the optimal design of modular processes and supply chains

被引:8
作者
Shao, Yue [1 ]
Ma, Jiaze [1 ]
Zavala, Victor M. [1 ]
机构
[1] Univ Wisconsin Madison, Dept Chem & Biol Engn, 1415 Engn Dr, Madison, WI 53706 USA
关键词
Modularity; Design; Supply chains; PROCESS INTENSIFICATION; DISTRIBUTED CONTROL; FRAMEWORK; OPTIMIZATION; SYSTEMS; GAS;
D O I
10.1016/j.compchemeng.2022.108102
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Modularity is a design principle that aims to provide flexibility for spatio-temporal assembly/disassembly and reconfiguration of systems. This design principle can be applied to multiscale (hierarchical) manufacturing systems that connect units, processes, facilities, and entire supply chains. Designing modular systems is challenging because of the need to capture spatial interdependencies that arise between system components due to product exchange/transport between components and due to product transformation in such components. In this work, we propose an optimization framework to facilitate the design of modular manufacturing systems. Central to our approach is the concept of a spatial superstructure, which is a graph that captures all possible system configurations and interdependencies between components. The spatial superstructure is a generalization of the notion of a superstructure and of a p-graph used in process design, in that it encodes spatial (geographical) context of the system components. We show that this generalization facilitates the simultaneous design and analysis of processes, facilities, and of supply chains. Our framework aims to select the system topology from the spatial superstructure that minimizes design cost and that maximizes design modularity. We show that this design problem can be cast as a mixed-integer, multi-objective optimization formulation. We demonstrate these capabilities using a case study arising in the design of a plastic waste upcycling supply chain.
引用
收藏
页数:19
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