Stability and robust design using a sector nonlinearity approach for nonlinear manufacturing systems

2014 ◽  
Vol 82 ◽  
pp. 115-127 ◽  
Author(s):  
XinJiang Lu ◽  
Han-Xiong Li ◽  
MingHui Huang
Keyword(s):  
Robust Design ◽  
Manufacturing Systems ◽  
Sector Nonlinearity

scholarly journals Framework for Robust Design and Reliability Methods to Develop Frugal Manufacturing Systems

Procedia CIRP ◽  
2019 ◽  
Vol 81 ◽  
pp. 518-523
Author(s):  
Uwe Schleinkofer ◽  
Martin Dazer ◽  
Kevin Lucan ◽  
Oliver Mannuß ◽  
Bernd Bertsche ◽  
...  
Keyword(s):  
Robust Design ◽  
Manufacturing Systems ◽  
Reliability Methods

Robust Design of Product Families for Make-to-Order Systems

1998 ◽  
Author(s):  
Gabriel Hernandez ◽  
Timothy W. Simpson ◽  
Janet K. Allen ◽  
Eduardo Bascaran ◽  
Luis F. Avila ◽  
...  
Keyword(s):  
Product Design ◽  
Robust Design ◽  
Manufacturing Systems ◽  
Product Variety ◽  
Market Demand ◽  
Product Families ◽  
Manufacturing Plants ◽  
Absorption Chillers ◽  
Processing Times ◽  
Make To Order

Abstract Although manufacturing plants dedicated to a single product exist, most plants today make multiple products. The pressure to compete via product variety and customization has served to increase the number of different products produced by a typical plant. The manufacturing systems of complex make-to-order families of products usually face problems associated with the high variability of processing times, supply deliveries and market demand. How can product design improve the performance of the manufacturing system of complex make-to-order products? In this paper we present a method, based on robust design principles and a multi-objective decision model embodied in the Robust Concept Exploration Method, to support concurrent decisions in the early stages of the design of make-to-order families of products. Emphasis is given to adopting standardization, modularity and robustness in product design as key principles to improve the performance of this kind of systems. The design of an absorber-evaporator module for a family of absorption chillers is used as an example to illustrate our approach.

scholarly journals Robust Product Design: A Modern View of Quality Engineering in Manufacturing Systems

2019 ◽  
Author(s):  
Amir Parnianifard ◽  
SITI AZFANIZAM AHMAD ◽  
M.K.A. Ariffin ◽  
M.I.S. Ismai
Keyword(s):  
Robust Design ◽  
Manufacturing Systems ◽  
Design Method ◽  
Computational Cost ◽  
Optimization Methods ◽  
Manufacturing Processes ◽  
Quality Loss Function ◽  
High Quality ◽  
Different Types ◽  
Robust Design Method

One of the main technological and economic challenges for an engineer is designing high-quality products in manufacturing processes. Most of these processes involve a large number of variables included the setting of controllable (design) and uncontrollable (noise) variables. Robust Design (RD) method uses a collection of mathematical and statistical tools to study a large number of variables in the process with a minimum value of computational cost. Robust design method tries to make high-quality products according to customers’ viewpoints with an acceptable profit margin. This paper aims to provide a brief up-to-date review of the latest development of RD method particularly applied in manufacturing systems. The basic concepts of the quality loss function, orthogonal array, and crossed array design are explained. According to robust design approach, two classifications are presented, first for different types of factors, and second for different types of data. This classification plays an important role in determining the number of necessity replications for experiments and choose the best method for analyzing data. In addition, the combination of RD method with some other optimization methods applied in designing and optimizing of processes are discussed.

scholarly journals Robust Product Design: A Modern View of Quality Engineering in Manufacturing Systems

2018 ◽  
Author(s):  
Amir Parnianifard ◽  
A.S. Azfanizama ◽  
M.K.A. Ariffin ◽  
M.I.S. Ismai
Keyword(s):  
Robust Design ◽  
Manufacturing Systems ◽  
Design Method ◽  
Computational Cost ◽  
Optimization Methods ◽  
Manufacturing Processes ◽  
Quality Loss Function ◽  
High Quality ◽  
Different Types ◽  
Robust Design Method

One of the main technological and economic challenges for an engineer is designing high-quality products in manufacturing processes. Most of these processes involve a large number of variables included the setting of controllable (design) and uncontrollable (noise) variables. Robust Design (RD) method uses a collection of mathematical and statistical tools to study a large number of variables in the process with a minimum value of computational cost. Robust design method tries to make high-quality products according to customers’ viewpoints with an acceptable profit margin. This paper aims to provide a brief up-to-date review of the latest development of RD method particularly applied in manufacturing systems. The basic concepts of the quality loss function, orthogonal array, and crossed array design are explained. According to robust design approach, two classifications are presented, first for different types of factors, and second for different types of data. This classification plays an important role in determining the number of necessity replications for experiments and choose the best method for analyzing data. In addition, the combination of RD method with some other optimization methods applied in designing and optimizing of processes are discussed.

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