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Nowadays turbulent environment exposes global producing companies to many risks caused by uncertain parameters. Therefore, a correct evaluation of investments in factories including uncertainties becomes increasingly important. Existing monetary evaluation methods as the calculation of the net present value (NPV) integrate only static parameters like wages, material costs or overhead costs. Most evaluating...
Supplier selection is a multi-criteria problem including various factors. It is increasingly becoming a strategic issue for companies in supply chains and it is usually made by multiple decision makers according to multiple criteria. Vendor selection has an important impact on the competitiveness of firms. Considering to its complexity, the work will focus especially on the final selection stage with...
This paper develops a supplier evaluation approach based on the analytic network process (ANP) and fuzzy synthetic evaluation under a fuzzy environment. The importance weights of various criteria are considered as linguistic variables. These linguistic ratings can be expressed in triangular fuzzy numbers by using the fuzzy extent analysis. Fuzzy synthetic evaluation is used to select a supplier alternative...
Agility is the inevitable trend of supply chain and management. Agile supply chain forces the enterprise to adapt to the unpredictable market demand, takes the fast restructuring of dynamic alliance as the basic point, promotes the cooperation and the production mode between enterprises, and enhances enterprise's integrated management and economic efficiency. As a key component of the supply chain...
According to theories of Poisson process, compound Poisson process, fuzzy random and product R&D, the fuzzy random forecasting problems on capacity and successful time of enterprise product R&D have been studied, a series of fuzzy random forecasting formulas have been obtained, theories and methods have been put forward to the study of capacity and statistical rule of enterprise product R&D.
Enterprise distributed research and development (R&D) refers to enterprise R&D activities on common network platform in different regions based on resource optimization and resource sharing in an enterprise or among enterprises. Enterprise distributed R&D network is an organic system in which network nodes connect each other. It can increase success rate of R&D activities. Main nodes...
In this paper, the index weight is definite based on entropy weight method and subjective assignment method, combining the fuzzy comprehensive evaluation, the financial position of the company is evaluated for the operators, investors and provides basis for decision-making such stakeholders.
Efficient performance evaluation on reverse supply chain (RSC) is the basis of optimizing RSC. In this paper, an integral performance evaluation index system is designed based on BSC and RSC structure characteristics, including a set of finance, customer, internal business process, learning and developing. Then the triangular fuzzy number AHP is applied creatively to evaluate the comprehensive RSC...
The core enterprise of the business ecosystem, which is the hub of the whole system, played an important role to the development and competitions of the whole system, so it is necessary to know its operations for the core enterprise and the whole system. So we should establish a rational evaluation system in order to know its functions in system, discover the problems and improving them, so that promote...
Faced with impact of the financial tsunami, the innovation ability of endogenous industrial clusters is especially important. On the basis of the theory and methods of AHP and fuzzy math, this paper has proposed a evaluation index system for the innovation ability of the endogenous industrial clusters, and comprehensively evaluates the innovation ability of the endogenous industrial clusters, and...
Logistics services have developed greatly in the last decade in China, and had a continuously increasing demand for speed, reliability, reduced costs and value added services. To minimize the potential negative effects, Logistics service quality is paid more and more attention. This paper is to develop a fuzzy evaluation model for assessing service quality of a 3PL company. The model includes two...
The objective of this study is to construct an balanced scorecard (BSC) based on knowledge management and the fuzzy analytic hierarchy process (FAHP) for evaluating an software companies. The BSC concept is applied to define the hierarchy with four major perspectives (i.e. financial, customer, internal business process, and learning and growth), and performance indicators are selected for each perspective...
This paper presents a novel approach for automatic fuzzy based knowledge acquisition, which clubs supplier selection process with order allocation for dynamic supply chains to cope up with market variations. It imitates the knowledge acquisition and manipulation in a manner similar to that of decision makers who has gathered considerable knowledge and expertise in procurement domain. According to...
Supply chain flexibility assessment (SCFA) has been considered as a major determinant of competitiveness in world class manufacturing. The environmental issues as well as speed, variety, flexibility and integration in production line come along with customer relationship and mass customization concept should come to light in today's research studies. To achieve competitive edge, companies must align...
This work is concerned with the fuzzy clustering problem of different products in k variant catalogs, each of size r products that maximize customer satisfaction level in customer relationship management (CRM). The satisfaction degree of each customer is defined as a function of his/her needed product number that exists in catalog and also his/her priority. To determine the priority level of each...
In practice, in purchasing decision-making, many quantitative and qualitative factors, with vagueness and imprecision, have to be considered. This makes the decision process very complicated and unstructured. Fuzzy sets theory is one of the methods used to deal with uncertain information. In this paper, a new approach based on fuzzy sets group decision is proposed to deal with the supplier selection...
Supplier evaluation and selection is one of the most critical activities of purchasing management in a supply chain. On the regular basis, managers constantly evaluate quality characteristics of suppliers' products and make decisions to select preferred suppliers. Fuzzy quality data commonly exists in the reality world. Under this fuzzy environment, we propose a quality-based supplier evaluation based...
High quality of seed is the most basic and important element of the agricultural productivity. The study of seed and relevant research topics is an important aspect in agricultural science and technology. Because of the special and natural features of seed industry, people often face challenges for the decision of distributor evaluation indicator. A complete research activity including the evaluating...
This paper deals with the problem of the ranking of generalized fuzzy numbers. Our aim is to give a possibility to rank any non-identical generalized fuzzy numbers. The majority of existing approaches fail to rank fuzzy numbers in certain cases and give equality when in fact fuzzy numbers are different. We explore and extend Chen and Lu's approach that is good enough in terms of computational effort...
This paper presents a hybrid multi-criteria/fuzzy method for the selection of the carrier among a number of pre-selected logistic service providers. The method was developed and applied to the case of a multinational company in the power-electronic market. Finally, an automated system supporting the decisional process was designed to support users.
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