Sustainable Manufacturing with Cyber-Physical Discrete Manufacturing Networks: Overview and Modeling Framework

Daniel J. Garcia; Mojtaba Mozaffar; Huaqing Ren; Jorge E. Correa; Kornel Ehmann; Jian Cao; Fengqi You

doi:10.1115/1.4041833

Sustainable Manufacturing with Cyber-Physical Discrete Manufacturing Networks: Overview and Modeling Framework

Daniel J. Garcia, Mojtaba Mozaffar, Huaqing Ren, Jorge E. Correa, Kornel Ehmann, Jian Cao^*, Fengqi You

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

Abstract

Cyber-physical systems (CPS) enable unprecedented communication between product designers and manufacturers. Effective use of these technologies both enables and requires a new paradigm of methods and models to identify the most profitable and environmentally friendly production plans for a manufacturing network. The operating system for cyber-physical manufacturing (OSCM) and the paired network operations administration and monitoring (NOAM) software are introduced. These technologies guide our development of a mixed integer bilevel programming (BP) model that models the hierarchy between designers and manufacturers as a Stackelberg game while considering multiple objectives for each of them. Designers select and pay manufacturers, while manufacturers decide how to execute the order with the payment provided by the designer. To solve the model, a tailored solution method combining a decomposition-based approach with approximation of the lower level Pareto-optimal solution set is proposed. The model is applied to a case study based on a network of manufacturers in Wisconsin and Illinois. With the proposed model, designers and manufacturers alike can take full advantage of CPS to increase profits and decrease environmental impacts.

Original language	English (US)
Article number	021013
Journal	Journal of Manufacturing Science and Engineering, Transactions of the ASME
Volume	141
Issue number	2
DOIs	https://doi.org/10.1115/1.4041833
State	Published - Feb 1 2019

Funding

We gratefully acknowledge the financial support from the Presidential Fellowship program at Northwestern University, the National Science Foundation (NSF) Cyber-Physical Systems (CPS) under grant No. CPS/CMMI-1646592, and the Digital Manufacturing Design and Innovation Institute (DMDII). Special thanks also to Professor Placid Matthew Ferreira and Marco Giovannini for advice and guidance on the project. Division of Civil, Mechanical and Manufacturing Innovation (CPS/CMMI-1646592).

ASJC Scopus subject areas

Control and Systems Engineering
Mechanical Engineering
Computer Science Applications
Industrial and Manufacturing Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1115/1.4041833

Cite this

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abstract = "Cyber-physical systems (CPS) enable unprecedented communication between product designers and manufacturers. Effective use of these technologies both enables and requires a new paradigm of methods and models to identify the most profitable and environmentally friendly production plans for a manufacturing network. The operating system for cyber-physical manufacturing (OSCM) and the paired network operations administration and monitoring (NOAM) software are introduced. These technologies guide our development of a mixed integer bilevel programming (BP) model that models the hierarchy between designers and manufacturers as a Stackelberg game while considering multiple objectives for each of them. Designers select and pay manufacturers, while manufacturers decide how to execute the order with the payment provided by the designer. To solve the model, a tailored solution method combining a decomposition-based approach with approximation of the lower level Pareto-optimal solution set is proposed. The model is applied to a case study based on a network of manufacturers in Wisconsin and Illinois. With the proposed model, designers and manufacturers alike can take full advantage of CPS to increase profits and decrease environmental impacts.",

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Sustainable Manufacturing with Cyber-Physical Discrete Manufacturing Networks: Overview and Modeling Framework

Abstract

Funding

ASJC Scopus subject areas

UN SDGs

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