Risk-informed simulation for sustainable product design decision making

Christian Enyoghasi; Fazleena Badurdeen

doi:10.1016/j.promfg.2020.02.195

Risk-informed simulation for sustainable product design decision making

Christian Enyoghasi, Fazleena Badurdeen

Mechanical Engineering

Research output: Contribution to journal › Conference article › peer-review

4 Scopus citations

Abstract

This paper presents a risk-informed Monte-Carlo simulation approach for effective decision making by considering optimal product configuration design and the risk models for the product design. The proposed approach is demonstrated through an industrial case study by assessing the influence of inaccuracy in demand forecast identified as a high likelihood risk event on the total lifecycle profit for different optimal designs of a toner cartridge. The result provides valuable information to product designers and decision makers on the sensitivity of total lifecycle cost benefits feasible from different optimal designs in the event of a perceived high risk.

Original language	English
Pages (from-to)	399-406
Number of pages	8
Journal	Procedia Manufacturing
Volume	43
DOIs	https://doi.org/10.1016/j.promfg.2020.02.195
State	Published - 2020
Event	17th Global Conference on Sustainable Manufacturing 2019 - Shanghai, China Duration: Oct 9 2019 → Oct 11 2019

Bibliographical note

Funding Information:
This work was partially supported by funding from the Digital Manufacturing and Design Innovation Institute (DMDII) [grant number 15 -05-08].

Publisher Copyright:
© 2020 The Authors. Published by Elsevier B.V.

Keywords

Monte-Carlo simulation
Product design
decision making
risk-informed design
total lifecycle

ASJC Scopus subject areas

Industrial and Manufacturing Engineering
Artificial Intelligence

Access to Document

10.1016/j.promfg.2020.02.195

Cite this

@article{ab6e806d73af49ad94bbd546d60ecc01,

title = "Risk-informed simulation for sustainable product design decision making",

abstract = "This paper presents a risk-informed Monte-Carlo simulation approach for effective decision making by considering optimal product configuration design and the risk models for the product design. The proposed approach is demonstrated through an industrial case study by assessing the influence of inaccuracy in demand forecast identified as a high likelihood risk event on the total lifecycle profit for different optimal designs of a toner cartridge. The result provides valuable information to product designers and decision makers on the sensitivity of total lifecycle cost benefits feasible from different optimal designs in the event of a perceived high risk.",

keywords = "Monte-Carlo simulation, Product design, decision making, risk-informed design, total lifecycle",

author = "Christian Enyoghasi and Fazleena Badurdeen",

note = "Funding Information: This work was partially supported by funding from the Digital Manufacturing and Design Innovation Institute (DMDII) [grant number 15 -05-08]. Publisher Copyright: {\textcopyright} 2020 The Authors. Published by Elsevier B.V.; null ; Conference date: 09-10-2019 Through 11-10-2019",

year = "2020",

doi = "10.1016/j.promfg.2020.02.195",

language = "English",

volume = "43",

pages = "399--406",

}

TY - JOUR

T1 - Risk-informed simulation for sustainable product design decision making

AU - Enyoghasi, Christian

AU - Badurdeen, Fazleena

N1 - Funding Information: This work was partially supported by funding from the Digital Manufacturing and Design Innovation Institute (DMDII) [grant number 15 -05-08]. Publisher Copyright: © 2020 The Authors. Published by Elsevier B.V.

PY - 2020

Y1 - 2020

N2 - This paper presents a risk-informed Monte-Carlo simulation approach for effective decision making by considering optimal product configuration design and the risk models for the product design. The proposed approach is demonstrated through an industrial case study by assessing the influence of inaccuracy in demand forecast identified as a high likelihood risk event on the total lifecycle profit for different optimal designs of a toner cartridge. The result provides valuable information to product designers and decision makers on the sensitivity of total lifecycle cost benefits feasible from different optimal designs in the event of a perceived high risk.

AB - This paper presents a risk-informed Monte-Carlo simulation approach for effective decision making by considering optimal product configuration design and the risk models for the product design. The proposed approach is demonstrated through an industrial case study by assessing the influence of inaccuracy in demand forecast identified as a high likelihood risk event on the total lifecycle profit for different optimal designs of a toner cartridge. The result provides valuable information to product designers and decision makers on the sensitivity of total lifecycle cost benefits feasible from different optimal designs in the event of a perceived high risk.

KW - Monte-Carlo simulation

KW - Product design

KW - decision making

KW - risk-informed design

KW - total lifecycle

UR - http://www.scopus.com/inward/record.url?scp=85088509776&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85088509776&partnerID=8YFLogxK

U2 - 10.1016/j.promfg.2020.02.195

DO - 10.1016/j.promfg.2020.02.195

M3 - Conference article

AN - SCOPUS:85088509776

VL - 43

SP - 399

EP - 406

Y2 - 9 October 2019 through 11 October 2019

ER -

Risk-informed simulation for sustainable product design decision making

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this