محمدمهدی موحدی

Service supply chain management is a tool for predicting, planning, implementing, and controlling supply chain processes with the aim of meeting customer needs and gaining their satisfaction, which includes coordination, integration and product control, information, and cash flow within the organization and between partners. The purpose of this article is to evaluate the structural model of the performance of the sustainable supply chain of the service sector (experimental witness: Social Security Organization of the country). The research method was mixed (qualitative-quantitative) and descriptive survey. In the qualitative part, a semi-structured interview was used to collect information, and 15 experts in this field were interviewed. And in a small part, the opinions of 384 experts, managers, and employees of sample social security branches of the country have been used. The results obtained from the qualitative technique with the method of thematic analysis to the inductive approach (based on data) and the model of Brown and Clark (2006) indicate the extraction of 3 dimensions, 10 components and 47 indicators in relation to the dimensions, components and indicators affecting the evaluation of sustainable supply chain performance. He has served in the social security organization of the country. The findings obtained from the quantitative technique using structural equations show favorable reliability and validity coefficients, while the T statistic for all three dimensions is greater than 1.96, which indicates that the mentioned indicators correctly represent this structure. have been measured, and also factor loadings have a value greater than 0.7, which has shown that there is an acceptable correlation between indicators (observable variables) and components (hidden variables) with the main structure (economic dimension). In order to prioritize the dimensions of the supply chain performance evaluation in the social security organization, the best-worst BWM technique was used using LINGO software, and the results showed that the social, economic, and environmental dimensions were ranked first to third, respectively. In the end, practical suggestions for creating an evaluation and encouraging mechanism for sustainable actions in the organization, creating a system for measuring and monitoring the performance of the supply chain, etc. were presented.

Today for installations management in equipment-based industries, such as oil and gas industry, the physical asset management development based on the ISO-55000 requirements is generally the most common issue in the world and particularly in Iran. Since this standard only expresses the requirements, many physical asset management excellence models have been designed by researchers or research institutes around the world to develop and strengthen physical asset management. Therefore, due to the diversity of models, organizations face problems of choosing a suitable model. Based on this issue, the main purpose and innovation of this work is evaluating and prioritizing popular and sometimes reference physical asset management excellence models according to 6 critical criteria based on DEMATEL and ANP techniques. Cost, risk, performance, sustainability, simplicity, and knowledge were identified as the critical criteria. First, 4 criteria were taken from the ISO-55000, and 2 critical criteria were then identified through interviewing oil and gas experts. The approach of this research is quantitative, and the method of data collection is descriptive-survey. Uptime, Institute of Asset Management (IAM), life cycle engineering (LCE), and asset integrity management (AIM) models are the main popular and/or reference physical asset management excellence models in the world. The finding shows that the IAM, LCE, AIM, and uptime models are respectively prioritized based on these critical criteria. <strong>Keywords:</strong> Physical Asset Management Excellence Model, ISO-55000 Standard Series, DMATEL, ANP