An Interactive Two-Level Multiobjective Decision Method

In view of two-level multiobjective decision making problem, and employing satisfactoriness of objective function and trade-off rate between objective functions, an interactive two-level multiobjective decision making method is proposed in this paper. By using the method, the obtained solution can be acceptable to both the follower and the requirement of the leader. It's an efficient method to solve two-level multiobjective decision making problems.

Finding Efficient Solutions for Multiobjective Decision Making

A method to deal with Multiobjective Decision Making is proposed. The idea of this method is to linearize the constraints of the corresponding parameterized single objective optimiztion problem. The method is illustrated by a numerical example. Some comments are also given to the practical of the method.

Multiobjective maintenance optimization of the continuously monitored deterioration system

With the development of the monitoring technology,it is more and more common that the system is continuously monitored.Therefore,the research on the maintenance optimization of the continuously monitored deterioration system is important.The deterioration process of the discussed system is described by a Gamma process.The predictive maintenance is considered to be imperfect and formulated.The expected interval of two continuous preventive maintenances is derived.Then,the maintenance optimization model of the continuously monitored deterioration system is presented.In the model,the minimization of the expected operational cost per unit time and the maximization of the system availability are the optimization objectives.The improved ideal point method with the normalized objective functions is employed to solve the proposed model.The validity and sensitivity of the proposed multiobjective maintenance optimization model are analyzed by a numerical example.

Multiobjective-Multicriterion Decision Making for Selecting Design Scheme of an Absorption Refrigeration System

In this paper, first, a biobjective thermodynamics model of minimizing comprehensive quantity of boiler vapour consumption and maximizing thermodynamics efficiency of an absorption refrigeration system is established, solved by a multiobjective optimization method to generate a non-inferior scheme set. Then, applying fuzzy multicriterion decision method, a best compromise scheme is selected by taking account of five factors-investment, operation cost, total water consumption, compactness of apparatus and difficulty of operation and maintenance. In addition, other complex factors are considered simultaneously which can hardly be treated by classical methods. The decision thought and method in this paper is of certain universal significance to problems of scheme optimization.

Applying Hierarchy Model to Routing and Scheduling Operations in Postal Logistics

Postal departments are actively taking part in e commerce, of which logistics is a key joint. Computerized routing and scheduling of postal transportation operations offers significant potential for cost decreases and productivity gains. Routing and scheduling hierarchy model is initially built and demonstrated in detail on the basis of statements of specific requirements of postal logistics in this paper, and the realized software is proved to be practical and reliable.

The Interactive Method: A New Approach to Solving a Kind of Mixed Integer Programming

Porduction planning often comes up in the form of programming problem with continuous variables, where investment project planing usually reduces to cero-one programming. Combination of the choices of investment projects with the existent production capacity, therefore, yields mixed integer programming. With this background, this paper provides a new approach to solving mixed integer programming problems by combining the man-machine interactive method for multiobjective programming with graphics generating techniques.

Improved indoor environment through optimised ventilator and furniture positioning:A case of slum rehabilitation housing,Mumbai,India

This study optimized the ventilator and furniture location of a tenement unit in a low-income urban habitat to obtain maximum experiential indoor environmental quality(e-IEQ)over the breathing zone.Hypothetical interior layouts using a combination of the two design parameters of ventilator location and bed position were generated for optimizing the design layout.This layout could promote maximum indoor airflow and minimum indoor air temperature and contaminant concentration.In this study,an improved indoor environment is hypothesized to be attainable through improved natural ventilation and thermal performance in the occupied zones.A sequential methodology involving“parametric design modeling ecomputational simulationemultiobjective optimizationemulticriteria decision making”-based framework was selected.Results exhibited that the currently designed tenement unit had a poor indoor environment,whereas the hypothesized iterated layout“optimized design layout,scenario 3(ODL 3)”derived from the optimization and decision-making algorithm performed effectively in providing e-IEQ.An increase in experiential indoor air velocity by 0.2 m/s and a decrease in temperature by 2C were observed over the monitoring point in the ODL 3 considering the existing scenario.Therefore,this study can find a way toward the development of sustainable habitat design guidelines under upcoming slum redevelopment policies across the nation.