Showing papers in "Operations Research and Management Science in 2006"

Vacation queueing models : theory and applications

Abstract: M/G/1 Type Vacation Models: Exhaustive Service.- M/G/1 Type Vacation Models: Nonexhaustive Service.- General-Input Single Server Vacation Models.- Markovian Multiserver Vacation Models.- General-Input Multiserver Vacation Models.- Optimization in Vacation Models.- Applications of Vacation Models.- References.

Combination Weighting Approach in Multiple Attribute Decision Making Based on Relative Entropy

Abstract: In this paper,by integrating subjective and objective attribute weight information,an optimal combination weighting model in multi-attribute decision making is proposed,and the solution given in documentis simplified.The integrating weight coefficients are determined by calculating the similarity scale of each weight vector,and the similarity scales are given by relative entropy of weight vectors.Finally,an example is presented to illustrate the approach.

A Method for Group Decision Making with Linguistic Information Based on Uncertain Information Processing

Abstract: The group decision-making problems with linguistic preference relations are studiedFirstly,a new two-tuples hybrid weighted averaging(T-HWA) operator based on uncertain information processing is proposedProperties of the operator are also analyzedA method for group decision making with linguistic information based on T-HWA operator is presentedFinally, an example shows that the proposed method is effective

Optimizing Method of Combination Weighting of Multi-attribute Decision-making

Abstract: A method of combination subjective weight and objective weight is supported for attribute weight in multi-attribute decision-making problem.The subjective weight offered by decision-makers and the objective weight calculated by decision-matrix are sampled for any decision attribute,which are calculated through programming methods in order to make the decision results reliable and credible.

Evolutionary Game Analysis of Knowledge-sharing Mechanism of Industrial Cluster

Abstract: The paper establishes the evolutionary game model of knowledge-sharing of industrial cluster based on the view of evolutionary game theory,and analyses its dynamic evolutionary procedureMoreover,key factors that affect the system's evolution,cultural environment of industrial cluster,knowledge absorption of enterprise,differences of knowledge between enterprises,are obtained and researched in this paper

On an Inventory Model for Deteriorating Items of Price-sensitive Demand and Quantity Discounts

Abstract: In this paper,we develop an inventory model for finding the replenishment schedule for an inventory system,in which items deteriorate at a constant rate and demand is price-sensitive when the supplier gives quantity discounts.It is shown that when the supplier gives quantity discounts,the buyer's demand increa-(ses).Sensitivity analysis with the numerical example shows that order quantity and replenishment cycle are very sensitive to the deterioration rate,but the retailer's profit per unit time is not.The retailer's unit selling price and profit per unit time are very sensitive to the price-sensitive parameter.A numerical example is presented.

Review on Facility Location Models

Abstract: In the paper we review facility location research with over 100-year history and propose the development of facility location has three stages.Discrete facility location problems include median,covering,center,multi-commodities,dynamic,multi-objective,routing location and hub location problems.

Decision-Making Systems in Production Scheduling

Abstract: In practice, production scheduling is part of the complex flow of information and decision-making that forms the manufacturing planning and control system. This decision-making systems perspective enhances our understanding of production scheduling. The chapter presents a systems methodology for improving production scheduling systems and describes techniques that can be used to represent production scheduling systems.

Study on Time-Scaled Network Diagram Based on the Analysis of Activity Floats

Abstract: In view of the fact that the existing concepts of float cannot reflect fully the intrinsic relation both preceding activities and succeeding activities of CPM network,three new concepts of activity floats are proposed.To the popular time-scaled network diagram-early time-scaled network diagram and late time-scaled network diagram,based on the theory of the path length theory,we give the theoretical basis,and protract the time-scaled network diagram stochastically.Three new concepts of activity floats which are put forward help to plot time-scaled network diagram,and make the applications of network more practical and feasible.

Research on an Evaluation Method for the Performance of Knowledge Management for Supply Chain

Abstract: As the important part of Knowledge Management(KM),evaluation of KM performance is used to help the enterprises find out the key factors that restrain the enhancing of performance.And the effective measures will be adopted to improve the level of KM.In this paper,from the aspects of creating customer value,knowledge acquisition capability,knowledge sharing and transmission,knowledge application,knowledge stocks and KM platform,the primary factors of the performance of KM for supply chain are analyzed and an index system of performance of KM for supply chain is established.Based on the system,an evidential reasoning method is proposed to evaluate the KM performance.The arithmetic step for evidence reasoning is presented.Finally,an example illustrates that this method is efficient and practical.

Application of BP Neural Network In Evaluating Enterprise Operation Performance

Abstract: Two categories of evaluation model,linear model and non-linear model have been applied to evaluating enterprise performance frequentlyThe simulation efficiency of economic phenomena through the application of non-linear model is satisfactoryThe result of evaluation is objective,scientific and more valuable for administrators as referenceFrom the view of evaluating input-output efficiency,the article constructs integrated indexes system by selecting basic financial indexesThe back propagation neural network method is applied to the integrated evaluation based on the 2003 annual financial data of twenty-two listed companies in medicine industryIt can evaluate the enterprise performance and forecast prospect through training formal fingersThe results show that the application of BP neutral networks to evaluating the enterprise performance is satisfactory

Integrative-optimal Investigation of Pricing and Return Policies In E-business

Abstract: In an Internet direct sales supply chain,the customers make direct purchases from the manufacturer sacrificing the benefit of physicalinspection of the product.This increases the likelihood that customers will have some dissatisfaction with the product and would like to return it.A clearly explained and generous return policy,then,will be welcomed by the customers and therefore will enhance demand.From the manufacturer's point of view,this will increase revenue,but will also increase cost due to increased likelihood of return.This paper develops a profit-maximization model to obtain optimal policies for price and the return policy in terms of price and return.It obtains jointly a number of managerial guidelines for using marketing and operational strategy variables to influence the parameters so as to obtain the maximum benefit from the market.The paper mentions several future research possibilities.

The Solution For Multi-Objective Flexible Job Shop Scheduling Based on Genetic Algorithm

Abstract: This paper provides a meaningful comprehensive goal for the flexible job shop scheduling—Make the possible reduction of the machine burden while we shorten the span of manufacturing.Because the traditional genetic algorithm has localizations in the solution to flexible job shop scheduling,we propose an improved genetic algorithm.Firstly,we give the algorithm of scheduling according to the compositive objective in order to obtain initial solutions.Secondly,we add the coding method based on machine assignment to the general coding method based on procedure order and design the corresponding crossover,mutation operations according to the characteristic of flexible job shop scheduling.Finally,we design the migration operation to solve multi-objective optimization problems according to the idea of environment migration in the phenomenon of species evolution.The result of experiment shows than the improved genetic algorithm is superior to the traditional one in the solution to multi-objective flexible job shop scheduling.

Supply Chain Coordination with Uncertain Delivery

Abstract: The paper investigates the supply chain coordination contract between one manufacture and one retailer with uncertain delivery.We make the supply chain coordinate through adopting a penalty or reward strategy.The strategy can integrate the decentralized system.We also analyze the profit allocation,and derive the optimal decision for the retailer.

Multilevel Grey Evaluation Method for Logistics Partner Selection

Abstract: In supply chain management,manufacturing enterprises have taken logistics outsourcing as one of strategic means raising competitive power.The logistics partner selection in logistics outsourcing is studied in this paper.An evaluation system consisting of four classification criteria of cost,service quality,cooperation reliability and comprehensive strength is designed based on the long term cooperation between manufacturers and logistics providers.A multilevel grey evaluation model combining grey evaluation and AHP is proposed to meet subjective evaluation criteria and a calculation is made.

Research on Proprieties and the Corresponding Problems of Interval Number Complementary Judgment Matrices

Abstract: Proprieties of interval number complementary judgment matrix have been studiedBased on the transformation between interval number reciprocal judgment matrix and interval number complementary judgment matrix,this paper proposes the definitions of additive consistency and multiplicative consistency for interval number complementary judgment and correlative definitions as well,and studies the particular proprieties of the consistency interval number judgment matrixAt the same time,it also puts forward a simple algorithm that can judge whether an interval number complementary has the propriety of satisfied transitivityFinally,the algorithm is illustrated by a numerical example,the result of which is feasible and effective

Study on a Kind of Reliability Model on Multi-echelon Supply Chain Based on SCPN

Abstract: Supply chain composed of several components may be unreliable in practiceThe supply chain system is diffe(re)nt from other ones because of uncertainty in the chain and out of chain,especial from the demandA stochastic colored Petri net is established for modeling supply chain system in this paper,and some general scenarios with reliability factors considered are depicted and analyzed with stochastic colored Petri net

A New Algorithm of Weight Coefficients of Multiple Attribute Decision Making

Abstract: How to obtain the weight coefficients scientifically and logically is very critical to the Multiple Attribute Decision Making(MADM),and it determines the reliability and validity of the results of MADM.Considering the influence of different matrix-standard ways to weight coefficients,the article puts forward the idea that the weight coefficients can be obtained based on different standard matrixes,and a new fuzzy optimization algorithm to determine weight coefficients is constituted.Finally,a decision-making case of fighters is provided and the result shows that the algorithm can converge to the optimum weight coefficients quickly,so it will be a new effective way to determine the weight coefficients of MADM.

Research on Loan-to-value Ratios of Standard Inventory Financing

Abstract: Determining appropriate loan-to-value ratios of commodity collateral can make banks mitigate credit risk of inventory financing effectivelyBased on reduced-form approaches,this paper establishes a basic model on the determination of loan-to-value ratiosIn this model,some factors,such as exogenous default probability,price volatility of commodity collateral,marking to market frequency and maturity time of loan,are considered synthetically,so banks may determine appropriate loan-to-value ratios of particular inventory financing operation to keep the level of taken risk consistentMoreover,with the extensions for realistic implementation,this paper introduces time to capture,liquidity risk and non-zero trigger level into the basic model

Non-parameter Penalty Function Multi-Objective Orthogonal Genetic Algorithm for Nonlinear Programming Problem

Abstract: Penalty functions are often used in constrained optimization,but it is difficult to choose parameter property.In this paper,a new non-parameter penalty function multi-objective orthogonal genetic algorithm is presented to solve the nonlinear programming problem.It puts penalty to constraint violations in order to keep a ratio of infeasible solutions in population.As a result,it can not only increase the diversity of population but also avoid the defects of over-penalization.This makes the group approach optimal solution easy.The numerical experiment shows that this algorithm is effective in dealing with the nonlinear programming problem.

BP Neural Network Based Nonlinear Combination Forecasting Model for Forecasting Marine Ice Condition

Abstract: Several models have been presented to forecast marine ice condition disaster according to its nonliear complex problems.In this paper,nonlinear combination forecasting(NN-NLCF) model based on neural network isapplied to forecasting marine ice condition disaster,which is nonlinear and has excellent character of function approximation.The result shows that owing to being consistent with nonlinear character of marine ice condition and taking full advantage of effective information of combined models,NN-NLCF model can reflect the objective trend of marine ice condition,its forecasting is robust and accurate relatively,and it can be widely applied to forecasting different natural disaster time series.

A DEA Evaluation Model of the Official Province Websites

Abstract: In this paper,a DEA evaluation model of the official province websites is proposed.The model can not only give a grade to the performance of official website,but also provisdes the input-output efficiencies of the e-govenment for each province and the information guiding the website in their management.Therefore,this model can be also used for reference in e-government sectors.

Solution of Multi-objective Programming for Cost Allocation of n-person Cooperation

Abstract: Considering a core is an empty set,in view of the application scope of the core and its limit,this paper develops one multi-objective programming model for the cost allocation problem of n-person cooperation game,and then presents two-phase approach for solving the cost allocation problem.Finally the feasibility of this method is illustrated by an example.

Establishment of Rough-Fuzzy-ANN Model for Forecasting Enterprise Financial Distress and Its Application

Abstract: This paper presents a new composite forecasting method for corporation financial distress modeling and forecasting based on rough-fuzzy-ANN model,and gives the corresponding composite learning algorithm.After doing the empirical research which is based on the latest data of China's listed company,the result shows that this method is highly accurate and have reinforcement learning properties and mapping capabilities.For forecasting financial distress,it proves to be feasible and valid.The research work supplies a new way for dynamic prediction for enterprise financial crisis.

Subjective-objective Combination Estimation Weight Based on Fuzzy Linear Programming

Abstract: The multi-attribute decision making problem(MADM) with unknown attribute weight is studiedThe integrative decision making value of the alternative is expressed with the unknown attribute weight based on the standardization attribute matrixThe decision maker's subjective preference of the alternative is expressed with the interval numberThen the priority of the interval number comparison matrix is derivedAccording to the fuzzy inclusion relation of the integrative decision making value expressed by the unknown attribute weight and the subjective preference,a fuzzy linear programming model is suggested to solve the unknown attribute weightIn addition,the related extension of this model is developed

Soft Computing For Complex Multiple Criteria Decision Making

Abstract: Preliminaries.- MCDM - Basic Tools.- MCDM Interactive Methods - An Overview.- Universal MCDM Interface.- Generic Interactive MCDM Support Scheme.- Bounds on Outcome Components.- Bounds on Global Trade-Offs.- Soft Computing for Complex MCDM Problems.

Interval Number Linear Programming Model of Portfolio Investment

Abstract: The paper presents a multi-objective interval number linear programming model for the portfolio investmentWe introduce a return-risk preference coefficient and an optimal degree coefficientThe investor can properly estimate the two coefficients to obtain a corresponding effective investment scheme according to risk preference and financial market situationTherefore,the investment process is more flexible and closer to the real condition

Eigenvector Methods for Priorities of Fuzzy Judgment Matrix

Abstract: New eigenvector method for priority of reciprocal judgment matrix based on correlativity is proposed.Using the transformation formulas between perfectly consistent reciprocal judgment matrix and consistent fuzzy judgment matrix,this paper also puts forward new eigenvector ways for priority of fuzzy judgment matrix grounded on additive consistency and multiplicative consistency.It is illustrated by numerical examples that these approaches of judgment matrices are effective.