Mojtaba Arezoomand

ORCID: 0000-0001-6253-5666
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About
Contact & Profiles
Research Areas
  • Sustainable Supply Chain Management
  • Quality Function Deployment in Product Design
  • Persona Design and Applications
  • Design Education and Practice
  • Multi-Criteria Decision Making
  • Economic and Environmental Valuation
  • Color perception and design
  • Transportation Planning and Optimization
  • Decision-Making and Behavioral Economics
  • Team Dynamics and Performance
  • Construction Project Management and Performance
  • Behavioral and Psychological Studies
  • Complex Systems and Decision Making
  • Energy, Environment, and Transportation Policies
  • Product Development and Customization
  • Quality and Management Systems
  • Systems Engineering Methodologies and Applications

University of Michigan
2017-2021

Michigan United
2021

Abstract Go/no-go decisions require engineering design teams to evaluate whether a concept is worth further investment of resources. These can be difficult when product success depends on multiple stakeholders in addition the end-user. This study proposes Stakeholder Agreement Metric (SAM) framework estimate level agreement between stakeholder preferences via distance optimal designs calculated from preference model derived conjoint analysis. The was tested an empirical case describing and...

10.1115/1.4049315 article EN Journal of Mechanical Design 2020-12-14

Conjoint experiments (CEs) provide designers with insights into consumer preferences and are one of several user-based design approaches aimed at meeting users' needs. Traditional CEs require participants to evaluate products based on two-dimensional (2D) visual representations or written lists attributes. Evidence suggests that product can affect how perceive attributes, an effect might be exacerbated in a Low- Middle-Income Country setting where have seldom been studied. This study...

10.1016/j.deveng.2021.100063 article EN cc-by Development Engineering 2021-01-01

Effectively managing risk is crucial to successful engineering design. Formal methods offer strategies for making decisions under uncertainty and mitigating risk. However, insights from other fields such as cognitive science behavioral economics suggest that decision-makers may exhibit behaviors in response feedback which can undermine these strategies. This study presents results an experiment participants were tasked with selecting a design factor of safety four prompts objective...

10.1115/detc2017-68336 article EN 2017-08-06

Abstract Complex engineering design tasks require teams of engineers with different skills and unique knowledge sets to work together develop a solution. In these contexts, team communication is critical successful outcomes. Previous research has identified effective management frequency as an important dimension leading improved Organization literature demonstrated curvilinear relationship in which both frequent infrequent may hamper organizational performance. contrast, recent found...

10.1115/detc2019-97301 article EN 2019-08-18

10.7302/3817 article EN Deep Blue (University of Michigan) 2021-01-01

Abstract A key assumption of new product development is that user requirements and related preferences do not vary on time scales the process length. However, prior work has identified cases in which for attributes can with time. This study proposes a method, Design Dynamic User Preferences, adapts reinforcement learning (RL) algorithms designing physical systems whose functionality changes feedback. An illustrative case comprised design variable stiffness prosthetic ankle presented to...

10.1115/detc2020-22460 article EN 2020-08-17

Abstract Go/no-go decisions require engineering design teams to evaluate whether a concept is worth further investment of resources. These can be difficult when product success depends on multiple stakeholders in addition the end-user. This study proposes Stakeholder Agreement Metric (SAM) framework estimate level agreement between stakeholder preferences via distance optimal designs calculated from preference model derived conjoint analysis. The was compared analytical hierarchy process...

10.1115/detc2020-22138 article EN 2020-08-17

Abstract Engineers must consider the usage context of a product in order to both predict its technical performance and model customer preferences. An emerging body work Decision-based Design (DBD) has elaborated various approaches for modeling better choice behavior select optimal attributes. Building on this prior work, study proposes new method formulating DBD problems which attribute values can change contextual factors. Results from vehicle design case demonstrate utility proposed...

10.1115/detc2021-67890 article EN 2021-08-17
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