Physical programming and conjoint analysis-based redundancy allocation in multistate systems: A Taguchi embedded algorithm selection and control (TAS&C) approach

2009 ◽  
Vol 223 (3) ◽  
pp. 215-232 ◽  
Author(s):  
V V Kumar ◽  
M Tripathi ◽  
M K Pandey ◽  
M K Tiwari
Keyword(s):  
Conjoint Analysis ◽  
Optimal Allocation ◽  
Programming Approach ◽  
Primary Concern ◽  
Algorithm Selection ◽  
Allocation Model ◽  
Redundancy Allocation ◽  
Physical Programming ◽  
Proposed Model ◽  
And Control

Amidst increasing system complexity and technological advancements, the manufacturer aims to win the consumer's trust to maintain his or her permanent goodwill. This expectation directs the manufacturer to address the problem of attaining desired quality and reliability standards; hence, the measure of performance of a system in terms of reliability and utility optimization poses an issue of primary concern. In order to meet the requirement of a reliable and trouble-free product, optimal allocation of all conflicting parameters is essential during the design phase of a system. With this in mind, this paper presents a physical programming and conjoint analysis-based redundancy allocation model (PPCA-RAM) for a multistate series—parallel system. Use of physical programming approach is the key feature of the proposed algorithm to eliminate the need for multi-objective optimization. Physical programming methodology provides an adequate balance among various associated performance measures and thus provides an efficient tool for formulating the objective function of a practical redundancy allocation problem. The proposed model has been addressed by a novel methodology called Taguchi embedded algorithm selection and control (TAS&C). An illustrative example has been presented to authenticate the efficiency of the proposed model and algorithm. The results obtained are compared with the genetic algorithm (GA), artificial immune system (AIS), and particle swarm optimization (PSO), where TAS&C was seen to significantly outperform the rest.

scholarly journals Sensitive Constrained Optimal PMU Allocation with Complete Observability for State Estimation Solution

2017 ◽  
Vol 7 (6) ◽  
pp. 2240-2250
Author(s):  
R. Manam ◽  
S. R. Rayapudi
Keyword(s):  
Linear Programming ◽  
Power System ◽  
State Estimation ◽  
Optimal Allocation ◽  
Estimation Methods ◽  
Programming Approach ◽  
Measurement Units ◽  
The Mean ◽  
Protection And Control ◽  
And Control

In this paper, a sensitive constrained integer linear programming approach is formulated for the optimal allocation of Phasor Measurement Units (PMUs) in a power system network to obtain state estimation. In this approach, sensitive buses along with zero injection buses (ZIB) are considered for optimal allocation of PMUs in the network to generate state estimation solutions. Sensitive buses are evolved from the mean of bus voltages subjected to increase of load consistently up to 50%. Sensitive buses are ranked in order to place PMUs. Sensitive constrained optimal PMU allocation in case of single line and no line contingency are considered in observability analysis to ensure protection and control of power system from abnormal conditions. Modeling of ZIB constraints is included to minimize the number of PMU network allocations. This paper presents optimal allocation of PMU at sensitive buses with zero injection modeling, considering cost criteria and redundancy to increase the accuracy of state estimation solution without losing observability of the whole system. Simulations are carried out on IEEE 14, 30 and 57 bus systems and results obtained are compared with traditional and other state estimation methods available in the literature, to demonstrate the effectiveness of the proposed method.

scholarly journals The dynamic two-echelon MSW disposal system study under uncertainty in smart city

2021 ◽  
pp. 25-25
Author(s):  
Feng Dai ◽  
Gui-Hua Nie ◽  
Chen Yi
Keyword(s):  
Environmental Impact ◽  
Municipal Solid Waste ◽  
Smart City ◽  
Numerical Experiments ◽  
Optimal Allocation ◽  
System Study ◽  
Allocation Model ◽  
Sorting Method ◽  
Proposed Model ◽  
Incineration Residues

The municipal solid waste (MSW) disposal system is the key for building the smart city. In the MSW disposal system, the MSW is allocated among the disposal plants in the first echelon, and then the derivatives (incineration residues and RDF) are allocated between residues disposal plants and markets in the second echelon. In the two-echelon optimal allocation of MSW disposal system, two objectives, cost and environmental impact, should be considered. Considering the uncertainty in the MSW disposal system, this paper constructs a grey fuzzy multi-objective two-echelon MSW allocation model. The model is divided into two sub models and the expected value sorting method is applied to solve the model. The proposed model successfully was applied to a real case in Huangshi, China. The numerical experiments showed RDF technology has advantages on both cost and environmental impact comparing to other disposal technology on disposing MSW.

On modeling and dynamics of a multiple launch rocket system

2021 ◽  
pp. 095441002098224
Author(s):  
Bo Li ◽  
Xiaoting Rui ◽  
Guoping Wang ◽  
Jianshu Zhang ◽  
Qinbo Zhou
Keyword(s):  
Monte Carlo ◽  
Multibody Systems ◽  
Euler Method ◽  
Dynamics Analysis ◽  
Analysis Problem ◽  
Dynamic Design ◽  
Proposed Model ◽  
And Control ◽  
Rocket System ◽  
Complete Process

Dynamics analysis is currently a key technique to fully understand the dynamic characteristics of sophisticated mechanical systems because it is a prerequisite for dynamic design and control studies. In this study, a dynamics analysis problem for a multiple launch rocket system (MLRS) is developed. We particularly focus on the deductions of equations governing the motion of the MLRS without rockets by using a transfer matrix method for multibody systems and the motion of rockets via the Newton–Euler method. By combining the two equations, the differential equations of the MLRS are obtained. The complete process of the rockets’ ignition, movement in the barrels, airborne flight, and landing is numerically simulated via the Monte Carlo stochastic method. An experiment is implemented to validate the proposed model and the corresponding numerical results.

Morphometric Registration of Cytotoxic Changes of Epithelial Cells In Vitro: A Methodological Study

1990 ◽  
Vol 17 (3) ◽  
pp. 174-176
Author(s):  
Lis Andersen ◽  
Dorthe Arenholt-Bindslev
Keyword(s):  
Culture System ◽  
Optimal Allocation ◽  
Volume Density ◽  
Cell Culture System ◽  
Allocation Of Resources ◽  
Methodological Study ◽  
Epithelial Cell Culture ◽  
Coefficients Of Variation ◽  
And Control

Quantification of toxicity-induced cytomorphological effects in an epithelial cell culture system is described. Estimates of volume density and star volume of mitochondria and lysosomes are given. Mean volumes (n = 5) and coefficients of variation of these parameters were equal in experimental (TPA-treatment) and control cultures. An optimal allocation of resources for estimating cytomorphometric parameters would be to increase the number of culture flasks.

Designing a sustainable supply chain network for producing high-value products from waste glass

2021 ◽  
pp. 0734242X2199466
Author(s):  
Naeme Zarrinpoor
Keyword(s):  
Supply Chain ◽  
Greenhouse Gas Emission ◽  
Fuzzy Programming ◽  
Solution Procedure ◽  
Waste Glass ◽  
Worker Safety ◽  
Programming Approach ◽  
Supply Chain Network ◽  
Sustainable Supply Chain ◽  
Proposed Model

This paper aims to design a supply chain network for producing double glazed glass from the recycling of waste glass. All three pillars of sustainability are taken into consideration. The economic objective tries to maximize total profits. The environmental objective considers the energy consumption, the generated waste, the greenhouse gas emission, the water consumption, and the fuel consumption of vehicles. The social objective addresses created job opportunities, the worker safety, the regional development, the worker benefit, and training hours. To solve the model, a two-stage framework based on the group best-worst method and an interactive fuzzy programming approach is developed. The proposed model is validated through a real case study based on waste glass management in the city of Shiraz. It is revealed that when sustainable development goals are approached, a great degree of improvement will be attained in environmental and social aspects without a significant decrease in the economic sustainability. The results also demonstrate that the locations of glass recycling centres are different under economic, environmental, and social pillars, and the proposed model yields an optimal system configuration with a proper satisfaction degree of all objectives. Moreover, applying the proposed solution procedure enables system designers to obtain the most desirable trade-off between different aspects of sustainability.

Power Reserve Classification and Control for Peaking Balance with Intermittent Generation Grid

2014 ◽  
Vol 521 ◽  
pp. 252-255
Author(s):  
Jian Yuan Xu ◽  
Jia Jue Li ◽  
Jie Jun Zhang ◽  
Yu Zhu
Keyword(s):  
Real Time ◽  
Balance Control ◽  
Control Model ◽  
Intermediate Variable ◽  
Proposed Model ◽  
Grid Operators ◽  
Period Constant ◽  
Grid Operation ◽  
And Control ◽  
Time Reserve

The problem of intermittent generation peaking is highly concerned by the grid operator. To build control model for solving unbalance of peaking is great necessary. In this paper, we propose reserve classification control model which contain constant reserve control model with real-time reserve control model to guide the peaking balance of the grid with intermittent generation. The proposed model associate time-period constant reserve control model with real-time reserve control model to calculate, and use the peaking margin as intermediate variable. Therefore, the model solutions which are the capacity of reserve classification are obtained. The grid operators use the solution to achieve the peaking balance control. The proposed model was examined by real grid operation case, and the results of the case demonstrate the validity of the proposed model.

A Multi-Stage Stochastic Programming Approach to the Optimal Surveillance and Control of Emerald Ash Borer in Cities

2020 ◽  
Author(s):  
Eyyüb Y. Kıbış ◽  
I. Esra Buyuktahtakin ◽  
Robert G. Haight ◽  
Najmaddin Akhundov ◽  
Kathleen Knight ◽  
...  
Keyword(s):  
Stochastic Programming ◽  
Emerald Ash Borer ◽  
Programming Approach ◽  
Multi Stage ◽  
And Control

Internal and Consulting Information Flows in the Process of Knowledge Accumulation

2019 ◽  
Vol 15 (1) ◽  
pp. 19-36 ◽  
Author(s):  
Wiliam Acar ◽  
Rami al-Gharaibeh
Keyword(s):  
Knowledge Creation ◽  
Practical Applications ◽  
Seci Model ◽  
Top Managers ◽  
Deductive Synthesis ◽  
Proposed Model ◽  
Control Framework ◽  
Recent Developments ◽  
And Control ◽  
Knowledge Hierarchy

Practical applications of knowledge management are hindered by a lack of linkage between the accepted data-information-knowledge hierarchy with using pragmatic approaches. Specifically, the authors seek to clarify the use of the tacit-explicit dichotomy with a deductive synthesis of complementary concepts. The authors review appropriate segments of the KM/OL literature with an emphasis on the SECI model of Nonaka and Takeuchi. Looking beyond equating the sharing of knowledge with mere socialization, the authors deduce from more recent developments a knowledge creation, nurturing and control framework. Based on a cyclic and upward-spiraling data-information-knowledge structure, the authors' proposed model affords top managers and their consultants opportunities for capturing, debating and storing richer information – as well as monitoring their progress and controlling their learning process.

The sustainability of urban renewal projects: a model for economic multi-criteria analysis

2017 ◽  
Vol 35 (4) ◽  
pp. 397-409 ◽  
Author(s):  
Antonio Nesticò ◽  
Francesco Sica
Keyword(s):  
Sustainable Development ◽  
Urban Renewal ◽  
Environmental Sustainability ◽  
Optimal Allocation ◽  
Content Type ◽  
The Sustainable Development ◽  
Compromise Solutions ◽  
Selection Processes ◽  
Proposed Model ◽  
Investment Programme

Purpose The decisions taken today relating to urban renewal interventions are rarely supported by logical and operational methodologies capable of effectively rationalising selection processes. For this purpose, it is necessary to propose and implement analysis models with the aim of promoting the sustainable development of the territory. The purpose of this paper is to define a model for the optimal allocation of scarce resources. Design/methodology/approach The Discrete Linear Programming (DLP) is used for selecting investments aimed at achieving financial, social, cultural and environmental sustainability. Findings The proposed model lends itself to the construction of investment plans on behalf of both types of decision makers, of both a public and a private nature. Research limitations/implications All projects are evaluated according to multi-criteria logics, so that it is possible to find compromise solutions, in accordance with the stakeholders’ different preferences. Practical implications The model, written with A Mathematical Programming Language using DLP logics, is tested – case study – so as to define an investment programme finalised for urban renewal of a vast area. Social implications The proposed econometric model makes it possible to obtain the optimal combination of projects for urban renewal with a view to achieving the sustainable development of the territory. Originality/value Using the proposed model, all projects are evaluated according to multi-criteria logics, so that it is possible to find compromise solutions, in accordance with the stakeholders’ different preferences.

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