نشریه نوآوری های صنعتی، نیازها و راهکارها
پیاپی 3 (پاییز 1402)

During the pandemic, maintaining the survival of the supply chain partners and creating financial sustainability, especially in the food industry, becomes very important, so the purpose of this research is to identifying and ranking the factors affecting the financial sustainability of the food supply chain in a pandemic. This research is mixed method in terms of methodology and practical in terms of purpose. The statistical sample of this research includes 15 financial experts in food industry supply chain management. Factors have been identified based on literature review. Then, based on the Delphi method and with the help of a questionnaire, it was screened in three stages, and finally, among the 22 identified criteria, the experts reached a consensus in confirming 14 criteria, and in order to rank the final factors, the Analytic Hierarchy Process (AHP) technique was used. According to the results of AHP, the participation of stakeholders during the pandemic is the first priority, the management of service delivery policies is the second priority, and the waste management is the third priority during the pandemic. The findings of this research can open the way for the managers of the food industry during the crisis.

In this research, using structural equation modeling, the customer satisfaction model based on economic development in the banking industry has been presented, for which primary and basic information has been collected through library studies. Analytical data was also collected through the distribution of a questionnaire designed by the researcher. In order to determine the validity, the questions of the questionnaire were given to management professors and 15 managers of Saderat Bank, and after receiving their opinions, the necessary amendments were made in the questionnaire and its final form was compiled. Cronbach's alpha method was used to check the reliability of the questionnaire. For this purpose, first, 20 distribution questionnaires and Cronbach's alpha were calculated by SPSS software. The reliability coefficient in this research is 0/77. In this research, the obtained information was analyzed using inferential statistics method and Pearson correlation statistical technique was used in SPSS software. To check the normality of the distribution of dependent variables, the Kolmogorov-Smirnov test was used in SPSS software, as a result of which the claim of normality of all dependent variables was accepted. The statistical population of the present study was considered to be 110 customers of Saderat Bank, and based on Cochran's formula, 90 people were selected as a statistical sample. Model variables include expectations, perceived quality of products, perceived quality of services, perceived value, customer satisfaction CSI, complaints and loyalty. The results show that the presented model has an acceptable fit (0/652). Also, there is an acceptable correlation (more than 0/5) between the variables.

Today, manufacturing industries are under severe pressure due to the increase in the cost of energy, raw materials, manpower, capital and global competition, while these trends will be maintained for a long time, the problems facing production are getting deeper day by day.Become One of the strategic issues in the production industry is layout design, which determines the long-term efficiency of operations. Layout design means how to arrange facilities in a working environment for producing products (or providing services) consisting of various types of machines and equipment for the productivity and efficiency of more and more organizations. It is worth noting. Considering multi-line arrangement, flexible configuration of cells, calculating the cost of moving machines and calculating the cost of moving parts according to the distance of the machines from each other are among the things that differentiate this model from other models. It becomes According to this problem, in this research, a model of multi-objective mathematical planning for the problem of dynamic facility layout was presented, which was evaluated according to the considered objectives based on the exact solution method and then validated using the exact solution algorithm. According to the results obtained from solving the model, we can understand the importance of using the model so that the configuration of the cells and the allocation of parts to the cells and the arrangement of the machines in the cells with the aim of reducing the costs caused by The types of movement of parts, the costs of operating on machines and the costs of moving, buying and maintaining machines in the system, lead to an increase in the overall efficiency of the system and create a balance in the system. One of the advantages of this model is that by bringing the machines closer to each other, it tries to prevent extra movements inside the cells as much as possible, which increases cell productivity. Considering multi-line arrangement, flexible configuration of cells, calculating the cost of moving machines and calculating the cost of moving parts according to the distance of the machines from each other are among the things that differentiate this model from other models.

The blood supply chain plays an essential role in the health supply chain network, especially when a disaster occurs, the need for a sufficient blood supply chain to improve the condition of patients increases greatly. Therefore, paying attention to the existing requirements in the network design plays an important role in improving the service sector as much as possible. Blood transfusion is a complex process that carries the risk of reduced quality at every step, from donors to patients. Therefore, maintaining a high quality of blood products is crucial in the supply chain. Additionally, the transportation of blood products is costly due to specialized equipment. This paper presents a bi-objective model for designing a blood supply chain network. The first objective is to minimize costs, while the second objective is to maximize the quality of the blood products. A preliminary model is introduced, taking into account critical parameters. The proposed method is tested and validated through a case study of a blood network. The results show that the cost objective function is 42 units for small problems and 664 units for medium problems, while the objective function for blood quality is also considered in the same solutions. The LP- metric algorithm provides acceptable Pareto solutions, with efficiency of 1678 units for small problems and 24392 units for medium problems. In the case of small problems, all donors go to the main center, while for medium problems, temporary centers are established in addition to the main centers during certain time periods.

Copper alloys (brasses) are widely used as engineering materials in shipbuilding, aerospace, petrochemical, and military industries. In this study, brass alloy 60-40, as one of the most important copper-based alloys, was subjected to severe plastic deformation (SPD) in the ECAP (Equal Channel Angular Pressing) process to improve its strength and maintain elongation percentage, which is an indicator of ductility. The process was carried out at 350 °C in C-path and up to six passes for the samples. Microstructural studies performed using optical microscopy showed that discontinuous recrystallization starts from the first pass in the alpha phase. With increasing strain, the fraction of recrystallized grains increased and the size of the new grains was smaller than the initial grains. The grain size reached less than one micron after the fifth and sixth passes. Also, examination of the microstructure of the beta phase showed that recrystallization in this phase started after the third pass and gradually spread in the structure with increasing number of passes. The results of micro hardness and uniaxial tensile tests confirmed the significant increase in the hardness and tensile strength of the alloy with increasing number of passes. Also, the elongation percentage at room temperature of the ECAP-processed samples was over 40%, which is only 15% less than the initial annealed sample. The results of this study showed that ECAP can be used to improve the mechanical properties of Cu-60Zn alloy. The refinement of grains in this process can lead to an increase in tensile strength and hardness, while the elongation can be maintained at an acceptable level.

In the electronic and electrical industry, uninterruptible power supply is known as one of the most important equipment used to provide stable and uninterrupted power for electronic and electrical systems. Uninterruptible power supply maintenance unit is also known as one of the critical units in company and organization. Considering the importance of this unit, improving its quality and efficiency can lead to the overall improvement of the performance of electronic and electrical systems in organization and company. Therefore, prioritizing suitable management solutions to improve the maintenance unit of uninterrupted power supply, and optimizing this unit is very vital and important. By analyzing the problems and requirements of the uninterruptible power supply maintenance unit, appropriate solutions are provided to improve the performance of the unit under review. Finally, these solutions are prioritized and suggestions are provided by statistical software. In this research, the effective factors for prioritizing management solutions have been extracted, in order to optimize uninterruptible power supply maintenance and repair units in accordance with the standards and criteria of heavy industries, including the petrochemical industry, and based on the capabilities of knowledge-based companies, conducting studies and interviewing Active experts in the field of maintenance and repair management have been discussed in such a way that the effect of each effective factor on oil, gas and petrochemical companies as well as other industries is evaluated. According to the study of available sources and references, as well as the results of interviews with experts, the number of 5 main variables was determined for the current research so that the ultimate goal of the research can be achieved by evaluating these factors in the maintenance and repair units of heavy industries, especially petrochemicals. The mentioned materials were designed and presented in the article.