فصلنامه مدیریت زنجیره تامین
پیاپی 63 (تابستان 1398)

Companies are always seeking to upgrade their performance through improved strategic fit in supply chain. In the meantime, the role of competition intensity is vital and important. Regarding this issue, the purpose of this research is to investigate the effect of supply chain strategic fit on the performance of manufacturing companies with the moderating role of competition intensity. This research in terms of objective is applied research and in terms of method is descriptive-survey. In order to assess the strategic fit of the supply chain we used the Fisher's conceptual model, the Jaworski and Kohli standard questionnaires were used to assess competition intensity and Kaplan and Norton's model were used to assess performance. The statistical population of this research is the managers of manufacturing companies in Kashan. 213 questionnaires were distributed among managers. For data analysis, mean tests were used in SPSS software and structural equation model in Smart PLS software. The results of the research indicate that strategic misfit has a negative effect on the supply chain performance of manufacturing companies in Kashan, and there is a positive type of misfit in Kashan's manufacturing companies in general. It was also found that the intensity of the competition has a positive moderating role.

Today, given the changing circumstances, in order to maintain their competitive forces strong, successful enterprises should adapt themselves to the turbulent and changing conditions in the business environment. To achieve this, supply chain agility has been taken into consideration as an essential component for improving competitiveness. Thus, this study aimed at assessing the agility of supply chain in the ceramic tile industry, as one of the most important industries in Iran. Using a descriptive analytical study design and quantitative techniques, this study was conducted as a desk research and followed a practical application. The ceramic tile companies of Yazd, Iran made up the statistical population of this research. The statistical data were based on the effective criteria and sub-criteria of agile supply chain, which by fuzzy analytical hierarchy process (FAHP) method, weighting, and then were analyzed and ranked using the combined model of FAHP and VIKOR, with the help of some macro software such as Super-Decision and Excel. The results of the study showed that mahceram ceramic tile company was ranked first in terms of supply chain agility, followed by EEFA Ceram and Aghigh companies, respectively. Furthermore, regarding the importance of the criteria, product development flexibility held the highest importance with an importance coefficient of 0.307, while manufacturing flexibility had the lowest importance with an importance coefficient of 0.106.

For powerful manufacturing firms, one of the important factors for survival in today's competitive environment is decreasing production costs. Materials and equipment supplied play an important role in supply chain management and production facilities location, have a significant impact on supply chain design from the perspective of transportation and distribution planning in logistics decisions of the company. The purpose of this study is to provide an integrated model for supplier selection, quota allocation and production facility location problems in a multi - period and multi - product supply chain by considering economic goals, network reliability and evaluation of selected suppliers. In this regard, a mixed integer programming model has been developed and solved for small size problems by an exact method. Since the proposed problem is NP-hard, a Multi-Objective Vibration Damping Optimization (MOVDO) algorithm is proposed by introducing criteria for examining the results to solve large-scale problems. Numerical results show that the MOVDO algorithm reduces the problem solving time and provides near-optimal solutions with a small percentage difference compared to the exact method, which is also good in the quality of the response criterion.

By increasing environmental laws and regulations and raising public awareness of environmental protection, companies cannot easily ignore environmental issues if they want to work in global markets and compete with other companies. Green Supply Chain Management has become a proactive approach to enhance environmental performance. Under stakeholder pressures and regulations, firms need to enhance (GSCM) practice, which are influenced by practices such as green purchasing, green design, product recovery, and collaboration with customers and suppliers. As proactive firms adopt GSCM, their economic performance and environmental performance will be enhanced. Hence, GSCM evaluation is very important for any company. One of the techniques that can be used for evaluating GSCM is data envelopment analysis (DEA). Traditional models of data envelopment analysis (DEA) are based upon thinking about production as a “black box”. One of the drawbacks of these models is to omit linking activities the objective of this study to propose network DEA model for evaluating the GSCM in the presence of undesirable outputs. A four-stage supply chain demonstrates the application of the proposed model.

Following catastrophic events, there are numerous organizations for general health and relief for disaster victims. However, the lack of coordination between them makes the operation of relief operations difficult. This research is designed to extract and prioritize humanitarian supply chain barriers and is divided into three general stages. At first, the barriers to implementation were identified through the study of the literature of the subject and then co-ordinated with the symposium of the scholars. These barriers are classified into five categories: barriers to human resources, structural barriers, technological barriers, cultural barriers, and financial barriers. In the second step, the research questionnaire was designed, tested and improved so that the views of the managers involved in the disaster relief operation were included. At the last step, barriers were prioritized based on their severity importance using the network analysis process. The results indicate that lack of budget estimation, lack of estimation of needs and inadequate state support are important barriers. This means that in order to overcome barriers to implementing the supply chain, the first step should be to address these issues. The findings of this study provide clear guidelines on supply chain implementation, providing a more efficient, robust and systematic approach to supply chain barriers.

Today, due to the development and diversification of companies' products, as well as the intense competition between them, manufacturing organizations must be flexible enough to manage unpredictable threats in the unreliable future and unstable environment, and on the other hand, take advantage of the opportunities available. The main objective of this research is the impact of market sensing, supply chain agility and adaptive capability on supply chain Ambidexterity.   The research method has been applied in terms of purpose and descriptive-survey nature. The statistical population of this research is directors and experts of Iran Khodro Company. The size of the statistical society is 150 people. The method of sampling in this research was random sampling. To determine the sample size, the Cochran formula was used and the sample size was 123. A standard questionnaire of 18 items was used for collecting data. Prior to distributing this questionnaire, the researcher's reliability and reliability were assured. Smart PLS software was used to analyze the data. The results indicate that market capability sensing has an impact on supply chain agility and adaptive. The supply chain agility and adaptive capability has been affected on supply chain Ambidexterity. Also, the role of supply chain agility mediator in adaptive capability on supply chain Ambidexterity has been confirmed.