در این مقاله به بررسی مشکلات مربوط به مسیریابی و موقعیت یابی با متغیرهای واقعی و بررسی سوالات مربوطه می پردازیم. این تصمیمات مهندسی، موجودی و بهینه سازی در یک سیستم زنجیره تامین چندلایه شامل تامین کنندگان، انبارها و خریداران مختلف گرفته می شود. ما به دنبال راه های جدیدی برای مدیریت مکان و مسیریابی کارآمد و موثر هستیم. به منظور افزایش کارایی و دستیابی به نتایج بهینه، از روش های اکتشافی و فراابتکاری استفاده شده است. در تکنیک های فراابتکاری، معمولا از تکنیک ترکیبی برای افزایش عملکرد استفاده می شود. بنابراین، این مقاله مروری به بررسی روش‌های فراابتکاری و تحلیل مشکلات مکان با استفاده از کمیت‌های مختلف می‌پردازد. همچنین مزایا و معایب هر روش را برای حل بهینه این مشکلات بررسی می کند تا روش های کاربردی و کارآمد را معرفی کند. Manuscript profile

We consider several location inventory optimization models for the supply chain configuration of subway facilities. It includes several distribution centers and several retailers. Customer demand and redelivery time are considered random. The goal is to find the optimal locations for facilities and their inventory policy simultaneously. For this purpose, a two-phase approach based on queuing theory and stochastic optimization was developed. Today, meta-heuristic methods are often used to solve optimization problems such as facility design. in this study; The design of different units, stores, and rooms of a real large-scale subway was organized using three meta-heuristic methods: Migratory Bird Optimization (MBO), Taboo Search (TS), and Simulated Simulation (SA). The results were compared with the existing subway design. As a result, the meta-heuristic methods of MBO and SA have provided the best results that improve the efficiency of the existing subway design to an acceptable level. Manuscript profile

In this article, we will examine the financial issues related to multi-period routing and positioning and the related costs, and we will examine the related limitations. These decisions are made about location allocation, inventory and routing in a three-tier supply chain, including suppliers, warehouses and customers. We are looking for new ways to make location and routing decisions simultaneously and efficiently. In order to maximize the search space and achieve optimal results, exploratory and meta-heuristic methods have been used. The meta-heuristic technique is usually used to increase the performance of the hybrid technique. Therefore, this paper provides an overview of meta-heuristic methods and their combination to solve problems. It also examines the advantages and disadvantages of the proposed methods to solve these problems in order to provide more efficient methods. Manuscript profile

In this paper, we consider the issues related to multi-periodic and multi-period routing and positioning, and investigate the relevant constraints. Those decisions on location allocation, inventory and routing are made in a three-tiered supply chain, including suppliers, warehouses and customers. We seek new ways to decide on location and routing simultaneously and efficiently. To maximize the search space and to achieve optimum results, heuristic and meta-heuristic methods have been used. The meta-heuristics technique is usually used to increase the performance of the combination technique. Therefore, this article provides an overview of meta-heuristic methods and their combinations to solve problems. It also examines the advantages and disadvantages of the proposed methods to solve these problems in order to provide more efficient methods. Manuscript profile

a b s t r a c tOur main goal in this article is to arrange terminal facilities, place different departments, stores and units in predefined areas in such a way as to minimize the cost of moving customers and transportation staff. Especially in large-scale terminals with several different transport segments, it is important for terminal performance to be close to interactive units. Today, meta-heuristic methods are often used to solve optimization problems such as facility design. in this study; The design of the various units, stores, and rooms of a large-scale real terminal was organized using three meta-heuristic algorithms: Migratory Bird Optimization (MBO), Taboo Search (TS), and Simulated Simulation (SA). The results were compared with the existing terminal design. As a result, MBO and SA metaheuristic algorithms have provided the best results, which improve the efficiency of the existing terminal design to an acceptable level. Manuscript profile

In this paper, a facility location model with fuzzy value parameters based on the meta-heuristic method is investigated and solved. The proposed method and model uses fuzzy values to investigate and solve the problem of location allocation. The hypotheses of the problem in question are considered as fuzzy random variables and the capacity of each facility is assumed to be unlimited. This article covers a modern, nature-inspired method called the whale algorithm and the neighborhood search method. The proposed method and related algorithm are tested with practical optimization problems and modeling problems. To evaluate the efficiency and performance of the proposed method, we apply this method to our location models in which fuzzy coefficients are used. The results of numerical optimization show that the proposed method performs better than conventional methods. Manuscript profile