نشریه نوآوری های صنعتی، نیازها و راهکارها
پیاپی 1 (بهار 1402)

Warehousing using cross-docking is a well-known approach to distribute the products and decrease the costs of inventories and logistics in supply chain. In a cross-docking system, the goods are delivered from the delivery loader and move directly to the shipping loader without storage in the warehouse or distribution center. The use of this system reduces manpower costs, inventory, as well as increasing customer response speed and better control of distribution operations. However, in this research, the plan of portable cross warehouse along with the use of fixed cross warehouse in order to reduce the costs of constructing a cross warehouse has been proposed. Therefore, by presenting a random mathematical model, it has been tried to determine the appropriate place to send and establish a portable and fixed cross warehouse, as well as planning to determine which type of warehouse to be used in each location, transportation costs. To minimize possible and due to the uncertainty of the amount of demand for goods to be transferred between the pickup and Delivery points, the fuzzy programming method has been used. Genetic and Gray Wolf Optimizer have been used to solve the proposed model. To validate the performance of these evolutionary algorithms, for small-scale problems, it is used the solvers of GAMS software. The results of optimization show that the grey wolf algorithm provides better performance from the aspect of running time and the value of objective function. The number of products sent to the portable cross dock is one of the main results of this research.

An integrated management system includes a strategy for managing multiple systems and increasing productivity in order to meet the needs of stakeholders, which uses different standards for the development of these systems. These systems require resources such as human power, time and cost, which put a lot of pressure on organizations and lead to obstacles during its implementation and reduce productivity. In this regard, this article was conducted with the aim of designing a conceptual model of obstacles to the establishment of an integrated management system and using a combined method (content analysis and interpretive structural modeling). The statistical population of this research is small and medium companies in the field of metal industries of Qazvin province. Sampling was done in a purposeful manner and until theoretical saturation was reached, and based on this, twelve specialists and activists in this field were interviewed. While extracting the components related to the obstacles to the establishment of the integrated management system, the conceptual model of the research was developed, and according to the review of the research background and interviews with experts and the method of content analysis, 90 open codes, 28 concepts and seven categories with the titles of stakeholders External, employees, resources and management, regulatory and legal factor, cultural-organizational factor, establishment and financial-economic component were extracted and modeled based on interpretive structural modeling method. Also, the degree of dependence and the guiding power of each of the components is presented. Finally, solutions to improve the deployment performance of this system are provided.

In this paper, a special type of hub location-allocation problem is introduced for a real case study. Considering that the hub facilities usually have a limited capacity, the problem is investigated in the capacitated mode. Also, since services are usually provided to customers in different ways, and studying this helps to solve real-world problems, the problem model is designed based on the type of service. To our knowledge, this issue has not been investigated in previous studies. This issue has been investigated based on a case study in the postal hub system of the National Post Company of the Islamic Republic of Iran. This problem can be generalized in various other applications such as online stores, airports and telecommunication systems, and modeling based on the conditions in these systems and providing a suitable solution method can be used as an applied research. In this study, a mathematical model is proposed according to the characteristics of this system. Also, the exact solution method using the CPLEX solver has been used to solve the presented model. Based on the calculations and comparison with the existing conditions, the mathematical model presented in dealing with the design issues of the hub network of J.A. Post Company. It is effective and leads to cost reduction compared to the current system. Based on the results obtained from the implementation of the mathematical model, the provinces of Tehran, Tabriz, Mashhad, Ahvaz, Shiraz, Isfahan and Kerman were determined as postal hub centers. This is while in the current situation, the provinces of Tehran, Tabriz, Mashhad, Ahvaz, Shiraz, Isfahan and Hamadan are used as land postal hubs.

With the increase of competition in the work environment, organizations and manufacturing plants have been forced to optimize their supply chain in order to ensure the efficiency of operations. Optimization helps to reduce costs and increase customer satisfaction. The main element of the chain is the transport network, which determines the efficiency. This element is used in all stages of production, from production to delivery of the final product to customers. Also, by having a flexible supply chain network, which is one of the competitive strategies, it is possible to cover uncertain situations, a large variety of products, and responding to changes in demand and in time. Flexible supply chain networks are one of the most influential classes of the supply chain in production and service. In such networks, different delivery modes can significantly increase the efficiency of the entire chain. In this article, mixed integer programming has been used to design four-stage and multi-product supply chain networks in the pharmaceutical industry. The introduced model includes three different modes of delivery, which are: normal delivery, direct transportation, and direct delivery. Due to the complexity of this problem, meta-heuristic models have been used, in order to answer these goals, 10 adaptive and classical meta-heuristic algorithms have been developed and a random experiment has been conducted in order to measure the parameters more accurately. After the parameter setting stage, the final test is presented on the issues generated by the pharmaceutical industry. The obtained results show that the vibration-damping optimization algorithm is better than the other proposed algorithms.

Today, with the increase in competitive conditions, the customer-oriented and customer-oriented approach, identifying, strengthening and improving the services that can be provided to reach the criteria desired by car buyers is the reason for the stability and resistance of car manufacturers. Also, this issue is very important in the insurance industry related to automobile manufacturers due to the competitiveness of this industry and the establishment of startup and online companies. This research is a survey type in which, based on Pareto's law, some insurance companies affiliated with automobile manufacturers have been examined in order to determine the relationship between buyers' satisfaction and the insurance services provided to them in Shahre Ray. Due to the ineffectiveness of traditional and common methods of measuring service quality from the point of view of buyers, it is necessary to refer to and use standard tools for measuring service quality. One of these tools is the Seroperf model. In this research, in order to measure the quality variables of the services provided, the Seroperf method has been used, and according to the five main variables of this method, as well as the buyer satisfaction criteria, a main hypothesis and five sub-hypotheses have been proposed, and the chi-square test has been used to test the hypotheses. Five hypotheses have been accepted. In order to rank the most important criteria of insurance services provided by car manufacturers, the factor analysis method has been used; Also, in order to rank insurance companies and quality criteria of their services, hierarchical analysis method has been used. In addition, in this research, the complexity of service quality assessment and the improvement of quality is confirmed due to the different characteristics of services in the studied statistical population.

In the industrial world today, manufacturing units are trying to locate your requirements and the depot vehicle routing in order to transport the goods for reduce your cost. Needless to mention that the location of the warehouse is effective for vehicle routing. Therefore, in this paper, a mathematical programming model to optimize the storage location and vehicle routing are presented. The objective function of the model is minimizing the total cost associated with the transportation and storage of rental fee. Limitations of the model include vehicle capacity, the maximum distance traveled by vehicles and etc. In addition, labor costs, such as salaries, rent, warehouses, rental vehicles and etc. Approach to model the real world has been considered.Also, since each location and routing issues alone are a NP-hard problem, then location routing problem can be combined problem and It requires the use of meta- heuristic algorithms to solve.