جستجوی مقالات مرتبط با کلیدواژه « fuzzy multi » در نشریات گروه « صنایع »

Performance of a supply chain highly depends on its suppliers and therefore, appropriate selection of them is of great importance. This paper presents an integrated model of an MCDM method and a mathematical programming in order to select suppliers and determine lot sizes in the supply chain. The proposed framework comprises two main sub-models; the qualitative sub-model seeks to evaluate the suppliers by means of Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Then, in the quantitative sub-model, a mixed integer nonlinear program is proposed in order to determine the optimal orders allocated to each supplier. Fuzzy multi-objective method (TH) is used to tackle complexity of the model. The most notable features of the proposed model is considering different quality levels and related defective rates as well as partial supplier switch. Finally, to demonstrate applicability of the proposed model and superiority of the developed algorithm, several problem instances are generated and solved.

Uncertainty is an inseparable part of supplying chain management, which could be resulted from the customer’s demand fluctuation, change of production capacity or lack of reliability of the raw materials suppliers and the contractors. to act properly in response of the said matters, the safety stock could be used.In the present article, considering the existing problems and conditions of Ghataat Mehvari khorasan Company brought in this text, a fuzzy double objective model has been developed based on the total cost and the customer service level to set the safety stock in the supply chain of the mentioned company. Also,existing limitations in the said unit including production capacity,batch size for ordering raw materials and financial limitation for purchasing raw materials are considered for the model. the fuzzy reliability of suppliers and contractors has been specified by a fuzzy expert system with no presumption for demand distribution, and to control and correct all the anticipation deviation from the fact,the rolling horizon technique is used and finally safety stock has been set in such way that the minimum total cost and the customer service level have reached a designed level.

The competition enhancement and demand increases have directed many producers to employ advanced manufacturing technologies. For this purpose, the selection of best alternative among various manufacturing technologies is the topic of high importance. Many articles have discussed the insufficiency of general financial measures for investment justification in advanced manufacturing technologies. Many analysts have claimed that at the time of reviewing various alternatives, in addition to the economical measures, it is highly important that strategic measures of quality, productivity, and flexibility enhancement that are not of quantity type also take into consideration. To economically evaluate various manufacturing technologies, a linear programming model with stochastic constraints is suggested in this article. With this model, we can calculate the present worth of each of present projects by taking their characteristics of productivity and quality, for instance, into consideration. Thereafter, with the help of a fuzzy multi criterion decision making model, where its criterions are a mix of strategic objectives and economical criterions, the best alternative will be selected.