Concurrent Optimization of Product Design and Manufacturing Coping With Demand Variability

1993 ◽  
Author(s):  
Masataka Yoshimura ◽  
Atsushi Takeuchi
Keyword(s):  
Decision Making ◽  
Design Optimization ◽  
Product Design ◽  
Integrated Design ◽  
Industrial Robots ◽  
Design Decision ◽  
Satisfaction Level ◽  
Market Demand ◽  
Decision Variables ◽  
Practical Design

Abstract A user-oriented product design methodology for integrating design, manufacturing and marketing is proposed and the practical design optimization procedures are constructed and presented. First, market demand analyses are conducted by dividing users into groups based on similarities of users’ needs. The product satisfaction level of each group is formulated using the users’ satisfaction levels for product attributes. Next, in order to obtain optimum design solutions effectively in the integrated decision making processes of design, manufacturing and marketing (which include an enormous number of decision variables), multiphase procedures of design optimization are constructed according to simplicity levels of shape modelings with structural characteristics and manufacturing costs which can be evaluated. Then, practical design decision making procedures from the extraction of design alternatives through the determination of detailed decision variables are described corresponding to multiphase modeling starting with simplified models and advancing to detailed models. Here, the objective function of decision making is to maximize the satisfaction level of product user. Finally, the proposed integrated design optimization method is applied to industrial robots for demonstrating the effectiveness of the method.

PRODUCT DESIGN OPTIMIZATION METHOD CONSIDERING THE INTEGRATED SATISFACTION LEVEL

2013 ◽  
Vol 41 (3) ◽  
Author(s):  
Masataka Yoshimura ◽  
Masaki Sato ◽  
Tomoyuki Miyashita ◽  
Hiroshi Yamakawa
Keyword(s):  
Design Optimization ◽  
Product Design ◽  
Optimization Method ◽  
Satisfaction Level

Concurrent Design and Manufacturing for Mechanical Systems

1999 ◽  
Author(s):  
Kuang-Hua Chang ◽  
Javier Silva ◽  
Ira Bryant
Keyword(s):  
Decision Making ◽  
Product Development ◽  
Product Design ◽  
Development Process ◽  
Product Performance ◽  
Product Development Process ◽  
Concurrent Design ◽  
Manufacturing Cost ◽  
Design Decision ◽  
Design And Manufacturing

Abstract Conventional product development process employs a design-build-break philosophy. The sequentially executed product development process often results in a prolonged lead-time and an elevated product cost. The proposed concurrent design and manufacturing (CDM) process employs physics-based computational methods together with computer graphics technique for product design. This proposed approach employs Virtual Prototyping (VP) technology to support a cross-functional team analyzing product performance, reliability, and manufacturing cost early in the product development stage; and conducting quantitative trade-off for design decision making. Physical prototypes of the product design are then produced using Rapid Prototyping (RP) technique primarily for design verification purposes. The proposed CDM approach holds potential for shortening the overall product development cycle, improving product quality, and reducing product cost. A software tool environment that supports CDM for mechanical systems is being built at the Concurrent Design and Manufacturing Research Laboratory (http://cdm.ou.edu) at the University of Oklahoma. A snap shot of the environment is illustrated using a two-stroke engine example. This paper presents three unique concepts and methods for product development: (i) bringing product performance, quality, and manufacturing cost together in early design stage for design considerations, (ii) supporting design decision-making through a quantitative approach, and (iii) incorporating rapid prototyping for design verification through physical prototypes.

scholarly journals Front End Projects Benefits Realisation from a Requirements Management Perspective—A Systematic Literature Review

Buildings ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 83
Author(s):  
Joas Serugga ◽  
Mike Kagioglou ◽  
Patricia Tzortzopoulos
Keyword(s):  
Decision Making ◽  
Management Practice ◽  
Integrated Design ◽  
Current Evidence ◽  
Design Decision ◽  
Requirements Management ◽  
Support Design ◽  
Front End ◽  
Improved Performance ◽  
New Research

The recent notable emergence of a body of research in requirements management on one hand and benefits realisation has contributed to addressing a growing need for improved performance in Architecture, Engineering and Construction (AEC) projects. However, front end design (FED) as one of the vital processes in the project life cycle and delivery has attracted limited research to date within this understanding. This paper aims to map current evidence on requirements management in facilitating benefits realisation from an FED perspective. This is to bring about an updated and unified position on requirements management for its impact on design decision making. A systematic review of the literature covering the last ten years (2008–2018) aims first to build understanding and support identification of these emergent conceptual positions and secondly underscore essential requirements and their categorisations that impact on design discourse in FED. One hundred sixty-one peer-reviewed journal papers in the areas of benefits realisation and/or requirements management and/or FED based are identified on a pre-determined inclusion and exclusion criteria. Thirty-six requirements are identified as important in influencing use case changes important in design decision making broadly grouped into nine major categories. Following analysis, this research finds little evidence supporting an integrated requirements management practice and understanding to support design decision making. The research further finds bias in current research discourse towards four requirements categories (technical, economics, governance and environment); and 14 requirements, dominated by three strategic values, collaboration and project governance, with over 80% share of literature. The least 14 requirements such as “flow of spaces, social status/aspiration, mobility and integrated design” among others only account for less than 10% of literature. The authors argue for new research to bridge this gap, highlight the essential role of requirements management and broaden understanding to improve benefits realisation, particularly for FED processes.

Risk-Based Decision-Making for Managing Resources During the Design of Complex Space Exploration Systems

2006 ◽  
Vol 128 (4) ◽  
pp. 1014-1022 ◽  
Author(s):  
Ali Farhang Mehr ◽  
Irem Y. Tumer
Keyword(s):  
Decision Making ◽  
Resource Management ◽  
Design Methodology ◽  
Complex Space ◽  
Risk Mitigation ◽  
Space Exploration ◽  
Integrated Design ◽  
System Level ◽  
Design Decision ◽  
Risk Elements

Complex space exploration systems are often designed in collaborative engineering environments where requirements and design decisions by various subsystem engineers have a great impact on the overall risk of the mission. As a result, the system-level management should allocate risk mitigation resources (e.g., capital to place additional sensors or to improve the current technology) among various risk elements such that the main objectives of the system are achieved as closely as possible. Minimizing risk has been long accepted as one of the major drivers for system-level decisions and particularly resource management. In this context, Risk-Based Decision Making refers to a process that allocates resources in such a way that the expected risk of the overall system is minimized. This paper presents a new risk-based design decision-making method, referred to as Risk and Uncertainty Based Concurrent Integrated Design Methodology or RUBIC Design Methodology for short. The new approach is based on concepts from portfolio optimization theory and continuous resource management, extended to provide a mathematical rigor for risk-based decision-making during the design of complex space exploration systems. The RUBIC design method is based on the idea that a unit of resource, allocated to mitigate a certain risk in the system, contributes to the overall system risk reduction in the following two ways: (1) by mitigating that particular risk; and (2) by impacting other risk elements in the system (i.e., the correlation among various risk elements). RUBIC then provides a probabilistic framework for reducing the expected risk of the final system via optimal allocation of available risk-mitigation resources. The application of the proposed approach is demonstrated using a satellite reaction wheel example.

Product Design Optimization Method Considering the Integrated Satisfaction Level

2012 ◽  
Author(s):  
Masataka Yoshimura ◽  
Masaki Satou ◽  
Tomoyuki Miyashita ◽  
Hiroshi Yamakawa
Keyword(s):  
Design Optimization ◽  
Product Design ◽  
Optimization Method ◽  
Satisfaction Level

An Industry Case Study: Investigating Early Design Decision Making in Virtual Reality

2016 ◽  
Vol 17 (1) ◽  
Author(s):  
Leif P. Berg ◽  
Judy M. Vance
Keyword(s):  
Decision Making ◽  
Virtual Reality ◽  
Product Design ◽  
New Product Development ◽  
Development Project ◽  
Design Tool ◽  
Comfort Level ◽  
Design Decision ◽  
Team Members

The research presented here describes an industry case study of the use of immersive virtual reality (VR) as a general design tool with a focus on the decision making process. A group of design and manufacturing engineers, who were involved in an active new product development project, were invited to participate in three design reviews in an immersive environment. Observations, interviews, and focus groups were conducted to evaluate the effect of using this interface on decision making in early product design. Because the team members were actively engaged in a current product design task, they were motivated to use the immersive technology to address specific challenges they needed to solve to move forward with detailed product design. This case study takes the approach of asking not only what can users do from a technology standpoint but also how their actions in the virtual environment influence decision making. The results clearly show that the team identified design issues and potential solutions that were not identified or verified using traditional computer tools. The design changes that were the outcome of the experience were implemented in the final product design. Another result was that software familiarity played a significant role in the comfort level and subsequent effectiveness of the team discussions. Finally, participants commented on how the immersive VR environment encouraged an increased sense of team engagement that led to better discussions and fuller participation of the team members in the decision process.

An Investigation on Information and Gender-Based Power in Product Design Decision-Making

2007 ◽  
Author(s):  
Gu¨l E. Okudan ◽  
Can E. Mutluer
Keyword(s):  
Decision Making ◽  
Product Design ◽  
Consumer Products ◽  
Design Decision ◽  
Stakeholder Interests ◽  
Designed Experiment ◽  
Gender Based ◽  
And Gender ◽  
Gender Groups ◽  
Mixed Gender

The goal of the designed experiment and subsequent analyses presented in this paper was to investigate the power distributions especially with regards to gender in mixed-gender groups engaged in product design decision-making. The task involved determining the set of design criteria pertaining to consumer products with varying gender orientations, and rating the criteria for their importance according to various stakeholder interests. Results indicate that group level acceptance of the contributions was indeed impacted by the type of the product that the decision-making focused on, and that this impact can be attributed to the perceived knowledge levels of the individuals due to their expected familiarity with the product.

Decision Decomposition for the Lifecycle of the Design Process

1994 ◽  
Author(s):  
T. Wade Fallin ◽  
Deborah L. Thurston
Keyword(s):  
Decision Making ◽  
Design Space ◽  
Parametric Design ◽  
Graph Representation ◽  
Decision Making Process ◽  
Design Decision ◽  
Matrix Structure ◽  
Decision Variables ◽  
Artificial Hip ◽  
Hierarchical Matrix

Abstract Expanding design analysis to include lifecycle considerations makes design decision making more complex. This paper presents a methodology for structuring the lifecycle of the design decision making process itself in order to efficiently utilize designers’ time. The first step involves organizing performance objectives and decision variables into a hierarchical matrix structure defining the design space. Then, vertex partitioning is performed on a graph representation of the design space to delineate distinct stages where only a subset of decision variables are analyzed. An example of the parametric design of an artificial hip illustrates the methodology.

Sign in / Sign up

Export Citation Format

Share Document