International Journal of Research in Industrial Engineering
Volume:11 Issue: 2, Spring 2022

In this paper we introduce an approach to increase density of field-effect transistors framework a C-multiplier. Framework the approach we consider manufacturing the inverter in heterostructure with specific configuration. Several required areas of the heterostructure should be doped by diffusion or ion implantation. After that dopant and radiation defects should by annealed framework optimized scheme. We also consider an approach to decrease value of mismatch-induced stress in the considered heterostructure. We introduce an analytical approach to analyze mass and heat transport in heterostructures during manufacturing of integrated circuits with account mismatch-induced stress.

Bending is a sheet forming operation in excess of the elasticity limit of the material. Currently, in the industry, bending operation is carried out by a successive test method in order to have the geometry of the part, which generates the operation quite long and too expensive. In fact, springback brings about geometric changes in the folded parts. This phenomenon affects the angle and radius of curvature and can be primarily influenced by multiple factors. In this work, we predict the springback during the air v-bending procedure with the finite element calculation software ABAQUS to pass the test on the first try. The simulation parameters followed the real setting taking into account the characteristics of the punch and the die of the hydraulic press. The simulation was then checked using experimental tests and analytical models, we study this particular springback in 1050A Aluminum specimens through the analytical models of Gardiner and Queener. As a final result, the springback comparison effect between simulation and experiment is presented, and the evaluation of the experimental results with those of the simulation and theoretical models is conclusive. The simulated data show good agreement with the experimental and the analytical models the Finite Element Method (FEM) is a reliable tool for the analysis and simulation of the air v-bending process of Aluminum 1050 A sheet.

As well as social and cultural life, commercial life has also been affected by the industrial revolutions. Because the structures of enterprises have changed how their performance is evaluated, have indispensably changed. In today's brutally competitive environment, it is of great importance that enterprises constantly assess their performance so that they can maintain their existence firstly and achieve sustainable competitive advantage. Due to the current importance of the topic in this study, it was examined how the field of organizational performance has developed in the Industry 4.0 period. The purpose of this study is to reveal whether Industry 4.0 and the field of organizational performance show parallelism in terms of evolution. This parallelism was examined in terms of use of the artificial intelligence techniques in organizational performance evaluation methods. Therefore, available literature related the topic was reviewed by way of the Systematic Literature Review (SLR) protocol developed by Boell and Cecez-Kecmanovic [6] and the traditional literature review method. As a result of the research, it was seen that the field of organizational performancehas not developed in parallel with Industry 4.0 until now.

The COVID-19 pandemic has pushed the world into chaos as it has never seen before. Bangladesh, a country of developing economy, has experienced severe disruptions in almost all sectors. Its food supply chain has become one of the most vulnerable sectors when exposed to those stoppages and uncertainties caused by the COVID-19 pandemic. The country’s food supply chains networks have undergone unforeseen circumstances. In this research paper, we have conducted rigorous search to gather evidence of food supply chain disruptions in Bangladesh from the articles published in journal articles, conference papers, and reliable local and international newspapers. We have summarized the plausible impacts of those disruptions on the food supply chain. Later, we suggest some potential strategies to mitigate those effects. Strategies such as contactless delivery, e-commerce adoption, robust collaborative demand forecasting, and decentralization of food manufacture and production, and efficient information sharing, could effectively mitigate the supply chain disruptions caused by the pandemic. This paper can provide essential insights and managerial guidelines for Bangladesh as well as other developing countries to tackle food supply chain disruptions under the COVID-19 epidemic scenario.

Major purpose of this research is identification and evaluating of effective factors on implementation of Green Supply Chain Management (GSCM) at Fanavaran Petrochemical Company by using statistical methods of Kolmogorov-Smirnov, mean and decision making method by topic SWARA (Stepwise Weight Assessment Ratio Analysis). Research methodology of present research base on purpose is practical and based on data gathering method is descriptive-measurement. In order to extracting the effective factors on GSCM at the company, in first, by literature review, 22 factors were identified. Then data were gathered by using of opinions of population members containing 55 persons of experts and senior managers in the first class of company. Finally, after analyzing the questionnaires and statistical tests above, 11 factors were confirmed and selected. In continues, in order to evaluating the final factors and ranking them base on importance in success implementation of GSCM system, the SWARA technique is used. Final outcome of this technique showed that second factor as “Designing products to reduce energy and material consumption, reuse and recycling of materials, prevent the use of hazardous materials in the production process” by most weight is extracted as the most important factor. Such, the factors of “Materials and compliance with the standards required for the purchase of raw materials” and “Procurement, distribution and reverse logistics” placed in next ranks base on importance. The factor of “total environmental quality management” by least weight is identified as last factor in implementation of GSCM at the company. In the end of research, it is proposed that organizations focus on environmental problem to acquire skill green environment advantage through green supply chain activities.

The growing need for adequate and safe blood and the high costs of health systems have prompted governments to improve the functioning of health systems. One of the most critical parts of a health system is the blood supply chain, which accounts for a significant share of the health system's costs. In the present study, with an operational approach, the total network costs are minimized along with the minimization of transportation time and lead time of delivery of blood products. Also, determining the optimal routing decisions is improved the level of responsiveness and reliability of the network. In this research, a multi-objective stochastic nonlinear mixed-integer model has been developed for Tehran's blood supply chain network. Robust scenario-based programming is capable of effectively controlling parametric uncertainty and the level of risk aversion of network decisions. Also, the proposed reliability approach controls the adverse effects of disturbances and creates an adequate confidence level in the capacity of the network blood bank. Lastly, the model is solved through the Lagrangian relaxation algorithm. Comparison of the results shows the high convergence rate of the solutions in the Lagrangian relaxation algorithm.

In this paper, a multi-objective assignment problem with fuzzy parameters (FMOASP) is introduced. These fuzzy parameters are characterized by an  interval-valued fuzzy numbers instead of fuzzy numbers. The signed distance ranking of  interval- valued fuzzy numbers of the parameters are not random but bear well-defined relationship to one another. A new approach namely, optimal flowing method is proposed to obtain the ideal and the set of all fuzzy efficient solutions for the problem. A numerical example is given to demonstrate the computational efficiency of the proposed approach.