فصلنامه مدیریت زنجیره تامین
پیاپی 79 (تابستان 1402)

Explaining the competitive strategies of supply chain management is vital. Therefore, examining supply chain risks to choose the best criteria is a new strategy to manage and control risks and reduce the vulnerability of the supply chain process in order to improve the process and productivity. The purpose of the current research is to identify and rank the risks of the  three-level supply chain (supplier, producer and distributor) with a focus on level (2) of production and operations in order to explain the new strategy in the operating company of oil and gas production. This article has been done by reviewing the studies conducted in the field of identifying and ranking the risks of lean, agile, resilient and green supply chain management, by presenting a hybrid analytical model based on fuzzy Delphi and the network analysis process in the Super-Decision software environment. The risks identified using the literature review, 32 effective components with the contexts and the real space of the supply chain and with a survey of the expert team of 17 people, have been carried out in three stages according to the fuzzy Delphi method. Finally, after refining and evaluating the extracted factors, it led to the identification of 6 criteria (environment, supply, information system, process, control and demand) consisting of 26 risks, categories and ratings. According to the findings of the research, the risks of the process criterion with the highest weight were chosen as the superior criteria and the criteria of supply, control, environment, demand and information system were placed in the next priorities. Explaining the new strategy, agile, lean, resilient and green competitive strategies were prioritized in order.

In today's era, the supply chain has taken a large share of human activities. In the field of SCM, to achieve better performance and focus on core capabilities, supplier performance monitoring is very important. On the one hand, the issue of globalization and transcontinental outsourcing, and on the other hand, the issue of viability has imposed high importance to choosing the right approach to the supplier based on the strategic importance and supply risk. Therefore, the success of organizations in the global competition environment is highly dependent on formulating the type of relationship with suppliers, including affiliation, cooperation, long-term rewards, and a multi-source approach. In this paper, by using adaptive neuro-fuzzy inference, the performance of the SC has been evaluated based on the components of reliability, responsiveness, agility, costs and efficiency of asset management in the case study of " Zanjan Zinc Refinery Company". The output of examining the indicators related to each component in this method will lead to predicting the performance of the supplier and formulating a strategy to achieve the desired situation. In addition, the comparison of clustering models showed that the fuzzy mean clustering method with the number of 4 clusters has the lowest prediction error. The results of this research make it possible to measure the performance of the SC from different perspectives of the SCOR model. One can also provide information that helps the system expert to analyze the gap between the expected and the current performance level in terms of the mentioned components.

The continuity of any business depends on responding to customers' ever-changing needs. Production of innovative products is an effective way to meet this need. Design is one of the main tools for companies to achieve innovation. Designing a sustainable and reliable supply chain as an innovative strategy can gain customer satisfaction and ensure the company's survival. In this regard, the agenda of the present research is the descriptive analysis and content analysis of supply chain network design models, which considered sustainability and reliability in an integrated manner. This literature review includes 65 articles published in Web of Science and Scopus databases from 2011 to August 2022. The research result showed that the integration of sustainability and reliability in the supply chain network design is vibrant and rapidly growing in various industries. Developing countries and the energy industry with the most significant number of articles have been the research fields of the studies. Most of the studies have considered the structure of the supply chain as a forward flow. Mixed integer linear programming (MILP) is the most widely used modeling approach supported by heuristic and meta-heuristic algorithms. The results of the present review can be used as a guide by planners and policymakers to formulate strategies and policies to advance the sustainable-reliable program effectively.