A fuzzy hybrid group decision support system approach for the supplier evaluation process

The quality and delivery performance of a typical company depends largely on the capability of its suppliers. It is therefore important for a company to evaluate the performance of its existing suppliers. However, the problem of supplier evaluation is rather complex when a group of decision makers responsible for these suppliers are geographically dispersed. Evaluating decisions requiring the elicitation of vague and imprecise linguistic information expressed in fuzzy terms. For this purpose, a hybrid fuzzy group decision-making approach for supplier evaluation is proposed, integrating the fuzzy analytic hierarchy process (F-AHP) and the fuzzy preference-ranking-organization-method-for-enrichment-of-evaluation (PROMETHEE) group decision support system (F-PROMETHEE GDSS) method. F-AHP is used to determine the weight of multiple criteria while F-PROMETHEE GDSS is applied for the final ranking of suppliers from a group decision viewpoint. The approach advances the supplier evaluation context in two aspects. First, it treats each decision maker uniquely in terms of the preference function and threshold levels. Second, it provides rapid communication between teams through video conferencing. The hybrid approach is used to evaluate the suppliers of a dairy company.     

A multicriteria intuitionistic fuzzy group decision making for plant location selection with ELECTRE method

Plant location selection, the process of finding a suitable location for plant of a project has a strong influence on the success of industrial venture with the goal to minimize cost and maximize the use of resources. Thus, plant location selection problem is a multicriteria decision-making problem involving several conflicting criteria on which decision makers' knowledge is vague and imprecise. Therefore, in this study, the elimination and choice translating reality (ELECTRE) method is proposed with intuitionistic fuzzy sets for selection of appropriate plant location in group decision-making environment to tackle uncertainty of the information provided by decision makers and a plant location selection problem is considered to illustrate the proposed intuitionistic fuzzy-ELECTRE method. The ratings of alternatives with respect to each criterion and the weights of each criterion are taken as linguistic terms further characterized by triangular intuitionistic fuzzy sets.     

面向大规模定制的网络化群体智能决策支持系统

分析了大规模定制模式下决策问题的协同性、科学性和快速响应需求,提出了面向大规模定制的群体智能决策支持系统,用以支持多决策者之间通过虚拟组织的形式开展迅速、科学、有效的群体决策。该系统采用B／S构架,由数据源、集成数据平台、应用服务层、网络通讯平台和用户接口5层结构组成。在数据库／数据仓库、模型库、方法库和知识库的基础上,开发了案例库系统、方法引导器、模型选择器和数据挖掘工具等人工智能部件,增强了系统的实用性和易用性。给出了使用该系统进行客户定制订单群决策的应用实例。     

Online fuzzy based decision support system for human resource performance appraisal

The evaluation of employees’ performance is geared towards assessing individual’s contribution to the attainment of organizational goals. Performance appraisal (PA) is a key tool in an organization due to its potency to either make or mar such organization. Irregular standards for human resource PA, tribal sentiment, emotional status of assessors, and delay in appraisal processes among others are the key problems of the conventional methods of appraising employees’ performances in an organization. This research therefore proposes an online fuzzy based decision support system for human resource PA. The proposed system incorporates an efficient computational technique which handles the delays and bias associated with the orthodox performance appraisal system in organizations. The fuzzy inference system developed in this research uses Mamdani technique, Center of Gravity Defuzzification approach and takes as input the key attributes considered when appraising the performance of an employee. An experimental study of the proposed system was conducted using the dataset of academic staff. Standard statistical technique was used to measure the accuracy level of the System and the result shows that the proposed system has 0.78 probability (78%) of predicting accurately the appraisal status of an academic staff.     

模具质量管理决策支持系统的设计

从开发工具的选择、系统功能模块和关键技术等方面描述了模具质量管理决策支持系统的设计。     

An integrated decision support system for FMS production planning and scheduling problems

This paper discusses planning and scheduling problems for efficient use of an FMS and presents an integrated decision support system for dealing with these problems.The decision support system, FMSDS (Flexible Manufacturing Systems Decision Support System), includes several modules: data handling module, part selection module, loading module, load adjusting module, scheduling module and simulation module.This paper suggests the solution methodology of each subproblem. Also, an integrated interface scheme between the subproblems is presented. The interface scheme considers the relationships between the subproblems and generates solutions using hierarchical and looping approaches.FMSDS is made up of six alternative models considering three loading objectives and two production order processing strategies. Performance comparison among the six alternatives is shown using the non-terminating simulation techniques.     

A decision support system for rapid one-of-a-kind product development

A decision support system (DSS) is a specific class of computerized information systems that support decision-making activities. Such a system has become paramount in supporting manufacturing activities with the development of World Wide Web (WWW) technology in recent years. The research and development of a knowledge-based DSS dedicated to rapid one-of-a-kind products (OKPs), however, has, to the author’s knowledge, rarely been directly studied. This work presents a knowledge-based DSS for supporting decision-making activities in developing OKPs using broad knowledge base content. The underlying architecture of the proposed system is a system that manages and optimizes the data, information and knowledge in the product development process. A knowledge structure model is proposed in this paper, and a comprehensive set of expert knowledge and analytical/numerical methods are integrated into the system to automate intelligent decision-making. Case studies have shown that the knowledge-based DSS is able to help OKP companies develop new products more quickly by sharing optimization tools, information and knowledge to reduce possible errors and rework.     

基于模糊多属性群决策的供应商分类方法研究

提出一种供应商分类方法,将多属性指标用三角模糊数表示.在群决策过程中,考虑到决策专家的不同决策权值,对传统的TOPSIS方法进行改进.依据贴近度区间对供应商进行分类.最后通过算例表明,该方法简单、有效.     

A fuzzy integrated decision-making support system for scheduling of FMS using simulation

In the complex environment of an automated manufacturing system, decision-making is one of the most important and difficult tasks of a manager in general or a scheduler in particular. Flexible Manufacturing Systems (FMSs) are highly automated and expensive systems. The high investment cost of a FMS justifies the use of computer simulation support. This paper investigates the operational problems of FMSs through simulation, and different combinations of scheduling rules are evaluated by a fuzzy integrated decision-making support system.     

基于WEB的体育比赛决策支持系统研究

本文阐述了体育比赛决策支持系统的系统架构和实现技术,论述了系统的决策模块、管理模块和安全性的设计,提出了构建WEB的体育比赛决策支持系统的开发的思路.     

面向复杂问题求解的综合集成型决策支持系统

为求解现有的常规决策方法与系统工程方法难以处理的复杂决策问题,提出了一种综合集成型决策支持系统。分析了当前各种决策支持系统的特点和存在的问题,运用并根据复杂决策问题求解的综合集成过程提出了对系统的需求,进而建立了满足需要的基于浏览器／服务器模式的系统体系结构,讨论了其组成和功能,并对系统实现的关键技术——模型、仿真、信息、意见以及知识的综合集成进行了深入研究,给出了相应的实现方法。最后,给出了一个面向武器装备论证的原型系统的实例。     

基于QFD技术的新产品报价系统

针对企业实施CIMS工程中对报价系统的需求,提出一种基于QFD(OualityFunctionDeploymen)技术的新产品报价系统.详细讨论了产品配置时采用的QFD技术以及各种成本计算模型和报价模型,并在软件工具的支持下实现了这些模型.该系统的特点是既可以保证顾客对所采用的产品配置方案满意度最大,又便于产品成本和生产周期的计算.     

汽车零/部件配套企业网络化物流协同决策支持系统研究

针对广大汽车零/部件配套企业在物流决策中存在的响应速度慢、决策科学性依据不充分和协同性差等问题,构建一种汽车零/部件配套企业网络化物流协同决策支持系统,在研究该系统体系结构和运行模式的同时,对系统实现的部分关键技术进行分析。     

面向机械产品设计的智能决策支持系统研究

针对传统机械产品设计的缺陷和不足,尝试将智能决策支持系统(IDSS)引入到机械产品设计中来,并就此建立一个基于IDSS的机械产品设计系统.同时,概述了系统各主要模块的功能及实现方法.     

面向现代制造领域的决策支持系统研究

在当前DSS发展的基础上,本文根据现代制造模式的特点,研究了面向现代制造领域的DSS应具备的协调机制、功能、结构、系统层次与实现方式,最后展望了其发展方向.     

工程装备维修任务分派的模糊决策

将模糊决策理论引入到工程装备维修任务分派问题中,建立问题的模糊决策模型,提出优化维修任务分派的一种新的决策方法。实例分析表明,该方法可获得良好的效果。     

Tolerance allocation of assemblies using fuzzy comprehensive evaluation and decision support process

Tolerances play an important role in product fabrication and have a significant impact on manufacturing costs. The factors affecting manufacturing cost (geometry, material, etc.) of a part are fuzzy or subjective in nature since they have no appropriate numerical measure. This paper proposes a framework that overcomes the drawbacks of traditional tolerance control methods and reduces subjectivity via fuzzy comprehensive evaluation and conjoint analysis. In the fuzzy comprehensive evaluation process, the relationship between the machining costs and part tolerance is expressed through a mathematical formula, with the objective of minimizing the total machining cost. The conjoint analysis method is introduced to provide a systematic method of deciding weights for each of the factors in the tolerance allocation procedure. The application of the framework is demonstrated with practical engineering problems of allocating tolerances of an accumulator’s O-ring seal and a clutch assembly.     

A decision support system framework to process customer order enquiries in SMEs

Research carried out here describes order processing especially with constraints of due date at the customer enquiry stage in a highly competitive global market. It highlights problems faced by small- and medium-sized enterprises (SMEs) in a make-to-order environment with particular reference to quality and speed of delivery at this critical stage. While commercial software such as manufacturing resource planning and enterprise resource planning can be used at this enquiry stage for SMEs, they may be unaffordable especially due to high maintenance running costs. This study recognizes this challenge facing SMEs during enquiry management and justifies the need that an effective decision support system (DSS) is crucial even if SMEs have some planning and control systems in place. A flow chart is presented to highlight the influence of negotiation on customer due dates to serve as a basis for forward or backward planning, and a case example illustrates the fundamental construction and applicability of the proposed DSS approach with a resultant profit maximization outcome if the strategy is carefully implemented.