Supply Chain Management
Year:2021 | Volume:23 | Issue:71|Papers Count:6

The supply chain is one of the underlying sciences in the formation, production and distribution of a product or service. Without the knowledge of the supply chain, the end-user access to the product can be misplaced or partially executed, harming product and service companies. Implementing supply chain management is one of the crucial steps in the end-user production and consumption cycle of a product or service. The purpose of this study is to investigate the factors affecting inter-organizational cost management in the supply chain in Iran Khodro Company. The research is applied in terms of purpose, and descriptive-causal in terms of methodology. The statistical population consists of managers and supervisors of Iran Khodro, from which 285 individuals were selected by simple random sampling. The data were collected through questionnaires and analyzed by the method of structural equations modeling. Cost management is a kind of management accountancy which predicts the costs through reducing the probability of budget increasement. Many businesses use cost management for special projects and general business models. Cost management helps to identify, collect, classify and designate information used in planning, control, and decision-making for maintaining the desired range of costs. The data were analyzed by SPSS software. Findings show that supplier commitment, supplier trust, internal cost management, absorption capacity and internal systems integration, influence inter-organizational cost management. Internal cost management and the integration of internal systems affect the absorption capacity. Internal cost management and integration of internal systems with the mediating role of absorption capacity, has an impact on the management of inter-organizational costs.

Considering the prevalence of information systems and technological advancements in the world, these systems have different functions and applications in various contexts. Accordingly, industries such as warehousing, transportation, logistics and supply chain management benefit from state-of-the-art technologies. The radio frequency identification (RFID) system, used for identifying and tracking different goods, is an instance of such a system. In this research, first, we address the RFID system and how it functions. The goal of this paper is reviewing the application of RFID in logistics and supply chains from 1989 to 2020 in which 1. 5% of articles are from 1989 to 2000, 5% from 2000 to 2005, 21% from 2005 to 2010, 9% from 2010 to 2015 and 64% from 2015 to 2020. The articles are classified based on their publication date and it is found that the RFID systems have been widely used in logistics and supply chains especially since 2018. Finally, by examining all solution methods, less utilized approaches are identified and presented which could be a direction for future research.

The aim of this study is to evaluate the efficiency of five active supply chains which have the same structure, by a combined model of the fuzzy data envelopment analysis and the balanced scorecard in Tabriz automotive industry. The input and output data which are triangular fuzzy numbers, are symmetrically entered into the model and the model output is an asymmetric triangular fuzzy number per decision unit, which indicates the performance of the supply chain. The balanced scorecard (BSC) method is used as a tool for designing the performance evaluation indicators in four aspects, namely: the finance,the processes,the customer and the learning and growth of the human resources. The FDEA model used, has the ability to use definite and fuzzy data simultaneously and provide output in the fuzzy format, and on this basis, calculate the efficiency of five automobile companies, namely: Azhitics car company, Rakhsh Khodro Diesel company, Siba Motor company, Azar Motor Industrial Company (Amico), and Azerbaijan Diesel Khodro company. The research is applied-descriptive research and the measurement tool is questionnaire. Financial documents and information analysis method are the mathematical model of FDEA, BSC and sensitivity analysis. The results show that the efficiency of Azhitechs is higher than the other companies studied. Using sensitivity analysis and analysis of fuzzy data coverage, the companies Amico, Siba Motor, Rakhsh Khodro, Azhitechs and diesel cars are ranked as 1, 4, 5, 2 and 3, respectively, which also increase with increasing confidence level of the fuzzy number center that determines the efficiency of supply chains.

Banks and financial and credit institutions play an important role in the economic development of each country. Currently, due to the considerable number of banks and financial and credit institutions in this country, and also due to the privatization process of state-owned banks and the conversion of credit cooperatives and credit financial institutions into banks, their performance evaluation has become important. The purpose of this paper is to provide a method for evaluating the performance of banks and financial and credit institutions. In this research, using experts' opinions and library studies, banks' performance evaluation criteria of 18 branches of Melli Bank were evaluated in two stages, then the two-stage data envelopment analysis method was used to evaluate the performance of branches and finally rank them. The studied indicators were categorized into two stages to evaluate the performance of branches. Input indicators for the first stage of evaluation include: the size of the branches, the number of employees, the initial capital and the operating cost of the branches. Also, the output indicators of this stage, which are also considered as the input to the second stage, include the number of accounts and the total amount of deposits with the bank. Finally, branch profit indices, branch income and facility amount were categorized as the output of the second stage.

With the advent of the information technology era, all individuals and organizations, including defense organizations inside and outside the country, have begun to use software systems to improve their working circumstances and achieve their goals in a scattered and sometimes integrated way. With the passage of time and the increasing complexity and dynamism of operating environments, existing systems no longer meet the requirements and organizations have tended to use comprehensive and integrated solutions. In this article, one of the country's defense organizations in the field of logistics has been studied, which has put the design, production and implementation of a comprehensive and integrated system on the agenda years before the requirement of this issue was realized and appreciated. In this article, with the aim of documenting the experiences and the lessons learned, the knowledge management process of Sugumaran and Bous and the Delphi method, have been used to compile knowledge, which ultimately leads to gaining experience as well as benefits for the organization. The challenges in this path and the solutions envisaged by the project management team and the actions taken, have been presented in order to benefit other organizations and individuals who enter this path.

Supply chain management and distribution network design have attracted the attention of many researchers during recent years. This paper addresses a multi-product system of location problem in distribution network that incorporates inventory decisions for each product into capacitated facility location models. In the development of the mathematical model, the data of real case study of fast moving consumer goods company is used. Due to difficulty of obtaining the optimal solution in real-scaled problems, a heuristic solution approach based on Lagrangian relaxation algorithm and sub-gradient method is presented. The proposed solution method is compared with the optimization software on randomly generated test problems with different size. Computational results show that the performance of proposed solution algorithm is very promising in terms of various indexes including 88. 3% of DCs capacity, duality gap average and the worst case 0. 71% and 1. 77% respectively. The results of considered case study also proposed to reduce the number of distribution centers from 17 to 12 centers. Finally, some managerial insights are mentioned.