International Journal of Research in Industrial Engineering
Volume:10 Issue: 3, Summer 2021

Green Supply Chain Management (GSCM) is defined as the integration of environmental thinking into supply-chain management, including product design, material sourcing and selection, manufacturing processes and procurement. Generally, the sustainable supply chain is built on three dimensions: social, economic, and environmental, while the green supply chain emphasizes on the environmental issue considering an economic result. Although many works of sustainable growth heed attention on the profit margin as a first priority, however, the green supply chain focuses on the environmental issue along with an efficacious process, which is a beneficial to the environment as well. There are over 200 papers about GSCM. But among them, very few papers focus on the Pharmaceutical Industry, specially focusing on the supplier. But this paper focuses on implementing GSCM on Pharmaceutical Industry. Multi-objective Optimization Model has been applied here. Performance of the proposed model is evaluated by the Pycharm Solver of Python.

Economic researchers consider the development of transportation as blood circulation in the economic body of the country, which accelerating its circulation satisfies the vital and basic economic needs faster, and any kind of disorder and slowness in it causes great damage to the process of growth and development. Therefore, some economists and planners have considered the economic growth to be dependent on the development of the transportation sector and the existence of enough vehicles and related facilities. In this regard, Iran is very important due to its special position near the borders of Central Asia and the Caucasus and because it’s a bridge between the two major continents of Asia and Europe and has access to open waters. The main problem of this research is to identify all the dimensions and components that affect the transportation (transit) of goods and products, and because we finally want to present a strategy, the next problem is to rank these factors and consider the most important components and dimensions of Islamic Republic transportation. Analytic hierarchical process was used to determine the importance and weight of the criteria and then Expert Choice software was used for ranking. Given that the subject of transportation is a specific and macro issue, investigating it from a marketing perspective is a novel perspective, the studies conducted by students have remained at the research level, and there have not been many related studies on marketing in Iran, the most important limitation of the research was the ability to explain the reason of conducting this research and controlling the interviews. The results of pairwise comparisons and weights are expressed in the following. Accordingly, among the 20 sub-criteria, the use of information technology is ranked first. After that, sustainable development and smart transportation ranked second and third, respectively.

Accounting action believes that people, like economic traders, seek to make the maximum profit in their behavior in different contexts. These people are very calculating and seek to invest in friendly relationships that have made the target people indebted to them. To be used in times of need of this capital and to provide a platform for legal and illegal requests in the future.The purpose of this study is to identify the factors affecting accounting action of employees in organization, for this purpose, 29 Latin articles and 78 Persian articles that were selected by snowball method were used after theoretical saturation, and textual content analysis was performed then, the obtained data were provided to 14 experts by a questionnaire and after three rounds of qualitative Delphi, 27 main effective criteria were identified and then, using network analysis technique and Dematel, internal relations and prioritization were examined. The results based on network analysis method showed that utilitarianism was the highest factor and competitive advantage factor was the last factor affecting accounting action. Also, based on Dematel's method, we came to the conclusion that the factor of opportunistic behavior was the most effective and the factor of selfish individualism was the most effective among the factors.

Today, paying attention to the interests of suppliers in supply chain management strategies is one of the important points in the success of long-term and strategic relationships with suppliers. Not paying enough attention to these points sometimes causes irreparable damage to the overall structure of the organization. In response to this need, researchers have developed and proposed different models according to different approaches. This research has presented a special model with the approach of answering these problems. This approach, which is based on the Cuckoo Optimization Algorithm (COA), can solve the problems in multi-objective methods in addition to single-objective problems. This method based on the COA and the ε-constraint method named COA/ε-Constraint. The general approach of this method is to turn a multi-objective problem into a single-purpose problem, which is associated with increased efficiency. The model studied in this paper, with the aim of creating coordination between buyers and suppliers in the problem of supplier selection, is a three-objective model of cost, quality and delivery time, which is implemented to evaluate the performance of the proposed method. The results show the superiority of the proposed method over similar approaches in terms of creating a Pareto frontier.

3D printing or additive manufacturing is a technology in which 3D objects are printed by depositing a thin layer of material layer-by-layer until a final product is produced. In this research work, it has been focused on the fabrication of a Portable 3D Printer for the manufacturing of sample parts by using Fused Deposition Modeling (FDM) process.  The primary process parameters such as nozzle temperature, extrusion speed and fill density in addition to their interactions are studied. It has been observed that these process parameters influence the dimensional accuracy and extrusion time of the part produced by the process of FDM. The main objective of the research work is to create a reliable and cost efficient 3-D printer and to minimize the dimensional variation that usually occurs to plastic parts produced by 3D printers. Cartesian mechanism has been used where the print bed moves in the Z direction and the extruder moves in both the X and Y directions. The 3D printing filament that has been used is made of Poly Lactic Acid or Poly Lactide (PLA). The process involved 3D solid modeling to design, 3D printing with coated adhesive applied on the printing platform, measurement of dimensional variation of the printed parts and statistical analysis. Response Surface Methodology (RSM) based desirability analysis has been employed for optimization of FDM process parameters namely, nozzle temperature, extrusion speed and fill density. Mathematical models were developed and tested for accuracy and extrusion time using Design Expert 11 software for RSM application.

The aim of this paper is to introduce a new technique for improve the methods for solving the Semi-fully Fuzzy Linear Programming Problems. An algorithm is proposed to find the fuzzy optimal solution of Semi-fully Fuzzy Linear Programming Problems. This technique is also best fuzzy optimal solution in the literature and illustrated with numerical examples.

Compared with [1], in this paper, We will give first some sufficient conditions under which a (c)-mapping possesses an Approximate Fixed Point Sequence (AFPS). And then, we will prove that (c)-mapping has a fixed point. Finally, we will check some special properties of the fixed point sets of these mappings, such as closedness, convexity.