جستجوی مقالات مرتبط با کلیدواژه « Distribution » در نشریات گروه « صنایع »

The drought crisis has highlighted the importance of basic projects in various water areas. However, the government budget is insucient to fund necessary infrastructure projects. To address this issue, public-private partnership (PPP) projects can be utilized to leverage private sector capital for infrastructure development. Given the high sensitivity of PPP projects, it is crucial to conduct a comprehensive identi cation and accurate assessment of risks associated with water transmission and distribution PPP projects. The primary objective of this research paper is to present a structured methodology for assessing risks aecting PPP projects in water transmission and distribution. To achieve this goal, 30 risk factors were identi ed through a thorough review of relevant literature and background information. The study involved distributing questionnaires to 80 experts, with three dimensions of eect severity, probability of occurrence, and probability of detection. A total of 60 valid questionnaires were collected and evaluated using the intelligent method of adaptive neural-fuzzy inference system (ANFIS). The results indicate that ANFIS is an ecient method for assessing and predicting the risk of PPP projects. The developed framework can assist managers in understanding and preparing for the occurrence of these risks.

Since precise assignment of vehicles to the routs in supply chain network has a great eect on the important results such as cost reduction, on time delivery of the products or services, and customer satisfaction indexes (CSI), the Vehicle Routing Problem (VRP) is one of the most important problems in the supply chain management. For the complexity of this problem in real world, researchers usually ignore some real conditions and restriction in modelling and solving this problem. In this paper, the Vehicle Routing Problem (VRP) considering real conditions, such as vehicle capacity and restriction for vehicles with their movement in some routes, is studied. At rst, the literature review and past studies are presented. Then, the considered problem will be illustrated completely and its parameters and variables will be de ned. After that, the mathematical model of the problem is presented considering restriction for movement of the vehicles. This mathematical model will be codedinGAMSsoftware; becausethisproblemisknown as an NP-Hard problem, the mathematical model of the problem is solved just for the small-sized problems. A new model is also presented for the medium- and largesized problems based on ant colony (AC). The parameters of the ant colony are adjusted well in order to increase the eciency of the algorithm. Finally, some diversity test problems are designed considering the important and eective parameters. These test problems are solved in order to evaluate the eciency of the proposed algorithm, and the result shows that the proposed algorithm has a good performance in solving the test problems. Performanceoftheproposedalgorithmisalso compared with two power algorithms tabou search (TA) and genetic algorithm (GA) in solving the test problems. Results show that the proposed algorithm has better performance both in optimality and running time comparison of two other algorithms.

For many years, researchers and experts have mainly studied the different processes of supply and construction supply chains separately. But recently, more and more attention has been paid to the performance, design and analysis of supply chains and has become a whole. Much of this attention has been paid to increasing manufacturing costs, reducing manufacturing resources, shortening product life, smoothing construction, and globalizing the market economy. In this paper, the literature focused on multi-stage supply chain modeling is reviewed and then a research program for future research in this field is defined and presented.