Application of the Quality by Design Principles for the Development of the Crystallization Process for a Piperazinyl-Quinoline and Definition of the Control Strategy for Form 1

AbstractThe advent of additive manufacturing (AM) in recent years have had a significant impact on the design process. Because of new manufacturing technology, a new area of research emerged – Design for Additive Manufacturing (DfAM) with newly developed design support methods and tools. This paper looks into the current status of the field regarding the conceptual design of AM products, with the focus on how literature sources treat design heuristics and design principles in the context of DfAM. To answer the research question, a systematic literature review was conducted. The results are analysed, compared and discussed on three main points: the definition of the design heuristics and the design principles, level of support they provide, as well as where and how they are used inside the design process. The paper highlights the similarities and differences between design heuristics and design principles in the context of DfAM.

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Fuzzy Control Model and Simulation for Nonlinear Supply Chain System with Lead Times

Complexity ◽

10.1155/2017/2017634 ◽

2017 ◽

Vol 2017 ◽

pp. 1-11 ◽

Cited By ~ 8

Author(s):

Songtao Zhang ◽

Yanting Hou ◽

Siqi Zhang ◽

Min Zhang

Keyword(s):

Supply Chain ◽

Fuzzy Control ◽

Control Strategy ◽

Control Model ◽

Lead Times ◽

Supply Chain System ◽

Chain System ◽

Model And Simulation ◽

Definition Of ◽

System Variables

A new fuzzy robust control strategy for the nonlinear supply chain system in the presence of lead times is proposed. Based on Takagi-Sugeno fuzzy control system, the fuzzy control model of the nonlinear supply chain system with lead times is constructed. Additionally, we design a fuzzy robust H∞ control strategy taking the definition of maximal overlapped-rules group into consideration to restrain the impacts such as those caused by lead times, switching actions among submodels, and customers’ stochastic demands. This control strategy can not only guarantee that the nonlinear supply chain system is robustly asymptotically stable but also realize soft switching among subsystems of the nonlinear supply chain to make the less fluctuation of the system variables by introducing the membership function of fuzzy system. The comparisons between the proposed fuzzy robust H∞ control strategy and the robust H∞ control strategy are finally illustrated through numerical simulations on a two-stage nonlinear supply chain with lead times.

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Determination of critical quality attributes for monoclonal antibodies using quality by design principles

Biologicals ◽

10.1016/j.biologicals.2016.06.005 ◽

2016 ◽

Vol 44 (5) ◽

pp. 291-305 ◽

Cited By ~ 77

Author(s):

Nadja Alt ◽

Taylor Y. Zhang ◽

Paul Motchnik ◽

Ron Taticek ◽

Valerie Quarmby ◽

...

Keyword(s):

Monoclonal Antibodies ◽

Quality By Design ◽

Design Principles ◽

Quality Attributes ◽

Critical Quality Attributes

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A workflow for column interchangeability in liquid chromatography using modeling software and quality-by-design principles

Journal of Pharmaceutical and Biomedical Analysis ◽

10.1016/j.jpba.2017.08.032 ◽

2017 ◽

Vol 146 ◽

pp. 220-225 ◽

Cited By ~ 9

Author(s):

Róbert Kormány ◽

Katalin Tamás ◽

Davy Guillarme ◽

Szabolcs Fekete

Keyword(s):

Liquid Chromatography ◽

Quality By Design ◽

Design Principles ◽

Modeling Software

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Lean & Green on Industry 4.0 Context – Contribution to Understand L&G Drivers and Design Principles

International Journal of Mathematical Engineering and Management Sciences ◽

10.33889/ijmems.2021.6.5.073 ◽

2021 ◽

Vol 6 (5) ◽

pp. 1214-1229

Author(s):

Lenin John ◽

Manuel Sampayo ◽

Paulo Peças

Keyword(s):

Industry 4.0 ◽

Research Work ◽

Design Principles ◽

Manufacturing Companies ◽

Bottom Line ◽

Industrial Firms ◽

Systems Implementation ◽

Sustainability Concept ◽

Proper Definition ◽

Definition Of

The purpose of this paper is to demonstrate how the implementation of Lean & Green (L&G) in an Industry 4.0 (I4.0) environment can enhance the potential impact of the L&G approach and help manufacturing companies moving towards higher operational and sustainable performances. The research work developed here shows that although a proper definition of L&G is neither exposed worldwide nor explicitly implemented under that name, the current industrial firms are deeply concerned about the demanding challenge of keeping businesses flexible and agile without forgetting strategies to minimize the acceleration of climate change. So, one contribution of this paper is the identification and characterization of L&G drivers and design principles, supporting a robust and well-informed L&G systems implementation. As inferred from the research work, this challenge demands high quality and updated data together with assertive information. Thus, the implementation of L&G in I4.0 contexts is the answer to overcome the identified barriers. Likewise, an L&G system contributes to overcoming the challenges of I4.0 implementation regarding the triple bottom line sustainability concept. Consequently, another contribution of this paper is to depict why an L&G system performs better in the I4.0 context.

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