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 Laju Pertumbuhan Rumput Laut Gracilaria sp Melalui Budidaya IMTA (Integrated Multi Trophic Aquaculture) di Pantai Geger, Nusa Dua, Kabupaten Badung, Bali

2017 ◽  
Vol 4 (2) ◽  
pp. 191
Author(s):  
Kadek Yudiastuti ◽  
I Gusti Bagus Sila Dharma ◽  
Ni Luh Putu Ria Puspitha
Keyword(s):  
Water Quality ◽  
Design Method ◽  
Salt Water ◽  
Mesh Size ◽  
General Characteristic ◽  
Quality Parameters ◽  
Seaweed Cultivation ◽  
Randomized Design ◽  
Physical And Chemical ◽  
Chemical Water

Gracilaria sp is red alga which belong to class rhodophyceae. It can grow in shallow salt water with a general characteristic is having a cylindrical and branched thallus form. Seaweed cultivation can be performed through IMTA (Integrated Multi Trophic Aquaculture) method. The basic principle of cultivation through the IMTA method is utilizing service of the low thropic level species in marine ecosystems, such as shells and seaweed.  This method is believed to be able to overcome the environmental problems caused by cultivation activities, such as feces and uneaten feed. This research was perfomed 45 days, from February 25 to April 11, 2017. It was held at Geger Beach, Nusa Dua, Badung Regency, Bali, using a complete randomized design method that consist of three treatments and three repetition for each treatment. Treatment control (T1) consisted of 10 bunches of seaweed 100 grams without the abalone, treatement 2 (T2) consisted of 10 bunches of seaweed 100 grams and 20 abalones and treatement 3 (T3) consisted of 10 bunches of seaweed 100 grams and 40 abalones. The result showed that specific growth rate in Gracilaria sp.  was highest in treatment T1, compared to treatment T2 and T3. This was caused by the cage construction of abalone amd the present of small mesh size net to cover the seaweed  planting, which made the growth was not optimal.  However, the use of a nets system in seaweed cultivation could minimize the loss of thallus. It was proved by the survival rate of seaweed in first, second and third, that is averagely high, ranging from 90% to 100%. Physical and chemical water quality parameters are also measured, and It showed that the water quality was suitable for the cultivation of both, seaweed and abalone.

Modeling and Optimizing of Mechanically Agitated Vessels by Central Composite Rotatable Design Method

2011 ◽  
Vol 9 (1) ◽  
Author(s):  
Ramin Zadghaffari ◽  
Jafarsadegh Moghaddas ◽  
F. Fakheri ◽  
H. Razmi ◽  
H. Heidari
Keyword(s):  
Gas Flow ◽  
Design Method ◽  
Mixing Time ◽  
Central Composite Rotatable Design ◽  
Two Phase ◽  
Injection Point ◽  
Tracer Injection ◽  
Operating Variables ◽  
Central Composite ◽  
Rotatable Design

A central composite rotatable design (CCRD) methodology was used to analyze the effect of some operating variables on gas-liquid two phase mixing time in an agitated tank driven by dual 6-blade Rushton turbines. The variables chosen were the impellers rotational speed (x1), gas flow rate (x2), probe location (x3) and tracer injection point (x4). The mathematical relationship of mixing time on the four significant independent variables can be approximated by a nonlinear polynomial model. Predicted values were found to be in good agreement with the experimental values (R-sq of 95.9 percent and R-Sq (Adj) of 95.7 percent for response Y). This study has shown that central composite design could efficiently be applied for the modeling of mixing time, and it is an economical way of obtaining the maximum amount of information with the fewest number of experiments.

Iterative Fixture Layout and Clamping Force Optimization Using the Genetic Algorithm

2001 ◽  
Vol 124 (1) ◽  
pp. 119-125 ◽  
Author(s):  
Krishnakumar Kulankara ◽  
Srinath Satyanarayana ◽  
Shreyes N. Melkote
Keyword(s):  
Genetic Algorithm ◽  
Nonlinear Programming ◽  
Primary Objective ◽  
Fixture Design ◽  
Clamping Force ◽  
Optimal Solutions ◽  
Fixture Layout ◽  
Force Optimization ◽  
Nonlinear Programming Methods ◽  
Objective Being

Fixture design is a critical step in machining. An important aspect of fixture design is the optimization of the fixture, the primary objective being the minimization of workpiece deflection by suitably varying the layout of fixture elements and the clamping forces. Previous methods for fixture design optimization have treated fixture layout and clamping force optimization independently and/or used nonlinear programming methods that yield sub-optimal solutions. This paper deals with application of the genetic algorithm (GA) for fixture layout and clamping force optimization for a compliant workpiece. An iterative algorithm that minimizes the workpiece elastic deformation for the entire cutting process by alternatively varying the fixture layout and clamping force is proposed. It is shown via an example of milling fixture design that this algorithm yields a design that is superior to the result obtained from either fixture layout or clamping force optimization alone.

Nonlinear programming methods and network flows

1994 ◽  
Vol 30 (6) ◽  
pp. 846-854 ◽  
Author(s):  
B. N. Pshenichnyi ◽  
E. E. Kirik
Keyword(s):  
Nonlinear Programming ◽  
Network Flows ◽  
Nonlinear Programming Methods
Sign in / Sign up

Export Citation Format

Share Document