فصلنامه مدیریت زنجیره تامین
پیاپی 60 (تابستان 1397)

Projects are crucial in the social-economic development of a country. One of the considerations in projects is the procurement of goods, works, services, and consultancies as inputs to implement projects in order to achieve the desired objectives. In this paper, project procurement management processes is evaluated with value engineering approach. Value engineering (VE), which is also known as value methodology (VM), is a systematic and structured approach for improving projects, products, and processes. The objective of the analysis is the identification of potential problematic areas and the design of new framework in order to maximize the possibilities of a successful implementation of a procurement system. The outcome of the research enabled the definition of the appropriate analytical practical solution.

The evaluation and selection of equipment is one of the important issues in the management of an organization or firm. The actions of an organization to evaluate and select of equipment will lead to a competitive advantage and improve the organization's performance. This becomes more complicated when there are different options for purchasing. At the same time, buyers consider all quantitative and qualitative criteria influencing the decision in an effort to evaluate and select the best of equipment. Multi-criteria decision making theory provides methods for choosing the best option. One of these methods can be pointed out by SAW, TOPSIS and GRA, and the average of these three methods it can be a suitable criterion for combining the three methods and providing a single option. The response surface methodology is a set of statistical techniques and applied mathematics for constructing empirical models. The purpose of the response procedures is to estimate the response (output variable) based on several independent variables (input variables) using appropriate experiments. The purpose of the present research is to provide an innovative method for evaluating and selecting the equipment of the Isfahan Smelting Company. In this study, the design of experiments to make options the experiments were carried out and for each option, the mean relation between three SAW, TOPSIS and GRA as dependent variable and criteria as discrete variables were investigated by response surface methodology. The result of the research indicates the accuracy of this combination method, as the ranking of options based on the proposed method with the average of three methods is consistent.

In hospital management, we are seeking to increase quality and reduce costs, while there are resource constraints, for optimal allocation of resources and scheduling time, many developed technologies for development of health-care called simulations, and Process progress has been made to create realistic profiles. These simulations can be used to facilitate a better understanding of the different situations and system bottlenecks, coordination training in logistics, decision-making processes, and design aspects of health care systems. In this research, we have explored a variety of simulation models and their applications in managing hospital systems and provide simulation models that can be useful for training individuals in the logistic coordination of operations that are performed daily. Examining different types of simulation models in several papers, their use to create various scenarios to solve a variety of issues that are present in hospital management, as well as for training sessions. Extensive studies in simulation research in the field of logistics health care systems show the growth of the use simulation techniques in adjusting these systems.

The food industry is among the industries where information sharing with the supply chain partners has been taken into consideration. However, this information is not shared due to issues such as high costs of investment in information technology, lack of trust from managers, and fear of data leaks out. The purpose of this study is to provide a solution for cases in which there are no desire to share information in the chain. In this study, we evaluate a DDI strategy by use of different forecasting methods such as SMA, WMA, SES and DES, in the Fiorella Amol large store. The accuracy and of these methods are determined using MSE, MAD, STD, Bias, MAPE methods. The obtained results show that, based on the methods MAD, MSE, STD, and Bias, the WMA forecasting method has better efficiency than the SMA does. In addition, based on the MAPE error calculation method, the SES forecasting method is the best one. In the other words, the present study provides an opportunity to use the WMA method instead of the SMA method in the future studies.

In this paper, we have tried to extract the methods of improvement in the processes and structure of the reverse logistics in a military organization with a comparative study of leading armies reverse logistics and applying expert opinions. For this purpose, the reverse logistics field of the NATO, Russia, United Kingdom and US armed forces was studied and analyzed. The strengths and weaknesses of each country were identified. After summarizing and verifying by the experts, the implementation issues and improvement solutions in the organization studied were grouped in three areas: reverse logistics specialist processes, management processes and enablers.
Comparative study is one of the methods used as a benchmarking. In this method, the status, progress, qualities of services, as well as systems of other similar organizations that are more advanced than our organization are studied and their advantages are benchmarked.
In the organization studied, reverse logistics, as "Determining the status of Items and Equipment," is one of the logistics subsystems that have the task of determining the status of the organization's excessive and unused items and equipment. The state of the surplus goods of the organization is determined in terms of usable, outdated, transferable or donated, and so on.

The risks and issues facing the bank's financing chain may prevent it from fulfilling its obligations, delaying service and dissatisfaction with customers, so this funding chain needs to be resilient to the problems and impediments ahead. Resilience means trying to restore the supply chain to an initial state or favorable condition after a disturbance or initial disturbance. Considering the importance of this issue, the purpose of this paper is to investigate the problem of problem solving theory (TRIZ) in resuming the bank's supply chain. In this paper, the ARIZ85c tool, one of the latest known examples of this tool, has been used, so that ARIZ85c provides solutions to improve the performance of the bank's supply chain and its resilience.