Premium
Modularity measures: Concepts, computation, and applications to manufacturing systems
Author(s) -
Shao Yue,
Zavala Victor M.
Publication year - 2020
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.16965
Subject(s) - modularity (biology) , modular design , context (archaeology) , computer science , measure (data warehouse) , computation , perspective (graphical) , systems engineering , distributed computing , theoretical computer science , industrial engineering , engineering , data mining , programming language , artificial intelligence , genetics , biology , paleontology
We propose a measure to quantify the modularity of industrial production (manufacturing) systems and optimization formulations to compute it. From a manufacturing perspective, we argue that a system is deemed modular if: (a) the equipment units that comprise it form clusters (modules) of dense connectivity (i.e., difficult module assembly tasks are performed off‐site), (b) connectivity between modules is sparse (i.e., easy assembly tasks are performed on‐site), (c) the number of modules is small, and (d) the module dimensions facilitate transportation. We show that the measure proposed satisfies these requirements and that it can be computed by solving a convex mixed‐integer quadratic program. We provide a discussion on advantages and disadvantages of alternative modularity measures used in different scientific and engineering communities. Our results seek to highlight conceptual and computational challenges that arise from the need to define and quantify modularity in a manufacturing context.