scholarly journals Synthesis of Robust Water Reuse Networks Using Fuzzy Nonlinear Programming:Mass Exchange-Based Processes

2005 ◽  
Vol 5 (1) ◽  
pp. 22
Author(s):  
Raymond Girard R. Tan ◽  
Dennis E. Cruz
Keyword(s):  
Nonlinear Programming ◽  
Water Reuse ◽  
Process Integration ◽  
Limited Information ◽  
Process Data ◽  
Industrial Plants ◽  
Conflicting Objectives ◽  
Fuzzy Nonlinear Programming ◽  
Programming Process ◽  
Mass Loads

Water consumption and effluent generation in industrial plants can be effectively reduced by maximizing utilization of partially contaminated water. A dual approach consisting of graphical pinch methods for targeting followed by the synthesis of water reuse networks using such techniques as mathematical programming is usually employed. Reliable process data is necessary for successful plant retrofitting. In most cases, however, the necessary limiting concentrations and mass loads must be deduced from limited information. It thus becomes necessary to balance the conflicting objectives of minimizing water usage and of ensuring that sufficient stream concentrations fall within their limiting values. The use of fuzzy nonlinear programming for the synthesis of robust water reuse networks is demonstrated using a four-process case study from the literature. Keywords: Fuzzy nonlinear programming, process integration, and water reuse network (WRN).

scholarly journals A QFD-Based Quality and Capability Design Method for Transboundary Services

2020 ◽  
Vol 2020 ◽  
pp. 1-18 ◽  
Author(s):  
Chao Ma ◽  
Wei Dong Liu ◽  
Zhi Ying Tu ◽  
Zhong Jie Wang ◽  
Xiao Fei Xu
Keyword(s):  
Nonlinear Programming ◽  
Quality Function Deployment ◽  
Design Method ◽  
Quality Parameters ◽  
Optimal Configuration ◽  
Two Phase ◽  
Internet Service ◽  
Fuzzy Nonlinear Programming ◽  
Nonlinear Programming Methods ◽  
Multiple Domains

The “transboundary”, an emerging phenomenon in the Internet service ecosystem, is leading to the flourishing of innovative services. A transboundary service incorporates services, resources, and technologies from multiple domains into its business to create a particular competitive advantage and unique user experiences. It is difficult to comprehensively consider all the constraints from multiple domains to precisely design the nonfunctional characteristics of transboundary services, such as quality attributes and capability attributes. We propose a two-phase quality design method for transboundary services called value quality deployment-quality capability deployment (VQD-QCD) based on quality function deployment (QFD). Given the restrictions of transboundary services, VQD-QCD translates the value expectations of multiple stakeholders into an optimal configuration for global quality parameters (GQPs), local quality parameters, and capability parameters. Details of VQD are illustrated. Considering the inherent vagueness and uncertainty of relationships between value expectations and GQPs, and among GQPs, fuzzy least absolute regression and fuzzy nonlinear programming methods are incorporated into QFD to identify the quantitative relations between value indicators and GQPs, and among GQPs, and obtain an optimal configuration scheme for GQPs. Usability of the proposed method is validated through a case study on the “DiDi mobile transportation service”, which is a representative transboundary service in China. Compared with the current method, which is inaccurate and inefficient because its translation between value expectations and relevant quality and capability parameters is artificial and subjective, the proposed method integrates fuzzy least absolute regression and fuzzy nonlinear programming methods into QFD, which facilitate transboundary service designers to precisely and efficiently design the quality and capability characteristics of innovative services in the manner of semiautomatisation, which promotes the innovative design of transboundary services.

scholarly journals ProgSnap2: A Flexible Format for Programming Process Data

2020 ◽  
Author(s):  
Thomas W. Price ◽  
David Hovemeyer ◽  
Kelly Rivers ◽  
Ge Gao ◽  
Austin Cory Bart ◽  
...  
Keyword(s):  
Process Data ◽  
Programming Process

Crisp and Fuzzy Optimisation Approaches for Water Network Retrofit

2007 ◽  
Vol 2 (3) ◽  
Author(s):  
Seingheng Hul ◽  
Denny K. S. Ng ◽  
Raymond R Tan ◽  
Choon-Lai Chiang ◽  
Dominic C. Y. Foo
Keyword(s):  
Linear Programming ◽  
Water Reuse ◽  
Process Integration ◽  
Paper Mill ◽  
Mixed Integer ◽  
Network Synthesis ◽  
Water Recovery ◽  
Water Network ◽  
Real Process ◽  
Integration Techniques

Material reuse/recycle has gained much attention in recent years for both economic and environmental reasons. Process integration techniques for water network synthesis have evolved rapidly in the past decade. With in-plant water reuse/recycle, fresh water and wastewater flowrates are reduced simultaneously. In this work, linear programming and mixed integer linear programming models that include piping cost and process constraints are developed to retrofit an existing water network in a paper mill that was not originally designed with process integration techniques. Five scenarios are presented, each representing different aspects of decision-making in real process integration projects. The fifth scenario makes use of fuzzy optimisation to achieve a compromise solution that considers the inherent conflict between maximising water recovery and minimising capital cost for retrofit.

Practical Aspects of Forming Ultra-Shallow Junctions by Sub-keV Boron Implants

1999 ◽  
Vol 568 ◽  
Author(s):  
M. A. Foad ◽  
A. J. Murrell ◽  
E. J. H. Collart ◽  
G. de Cock ◽  
D. Jennings ◽  
...  
Keyword(s):  
Process Integration ◽  
Practical Aspect ◽  
High Concentration ◽  
Process Data ◽  
Complex Process ◽  
Boron Implantation ◽  
Rapid Temperature ◽  
Ultra Shallow Junctions ◽  
Interface Structures ◽  
Ion Species

ABSTRACTAs the drive towards the production of 100 nm CMOS devices pick up speed, the practical aspect of transistor shallow junction formation, including a large menu of process integration issues, must now be solved in a short order. The most direct path to 50 nm junction depths is through the sub-keV boron implantation and rapid thermal annealing.The material aspects of the process integration centers on: (1) CMOS devices for shallow, highly-activated and abrupt junctions (involving the choice of ion species [B, BF, B10H14, BSi2, etc.], substrate materials [ Cz, Epi, SOI], anneal conditions [ramp rate, soak time, ambient gas], etc.) and (2) Defect-dopant interactions during annealing (including surface reactions of high concentration species [B, F], diffusion and carrier trapping by background and co-implanted species [C, 0, F, etc.].Process data for atomic and electrical activity profiles as well as defect and interface structures will be presented to illustrate progress towards understanding these complex process interactions. A particular focus will be the effects of anneal ambient and rapid temperature rise times approaching the “pike” anneal ideal.

scholarly journals Extended Duality in Fuzzy Optimization Problems

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Tingting Zou
Keyword(s):  
Nonlinear Programming ◽  
Original Problem ◽  
Dual Problem ◽  
Optimization Problems ◽  
Fuzzy Optimization ◽  
Duality Gap ◽  
Continuous Variables ◽  
Objective Functions ◽  
Duality Theorems ◽  
Fuzzy Nonlinear Programming

Duality theorem is an attractive approach for solving fuzzy optimization problems. However, the duality gap is generally nonzero for nonconvex problems. So far, most of the studies focus on continuous variables in fuzzy optimization problems. And, in real problems and models, fuzzy optimization problems also involve discrete and mixed variables. To address the above problems, we improve the extended duality theory by adding fuzzy objective functions. In this paper, we first define continuous fuzzy nonlinear programming problems, discrete fuzzy nonlinear programming problems, and mixed fuzzy nonlinear programming problems and then provide the extended dual problems, respectively. Finally we prove the weak and strong extended duality theorems, and the results show no duality gap between the original problem and extended dual problem.

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