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Nowadays, the defense industry is considered a significant part of the manufacturing industries. Military products in the world have a high level of diversity, delivery speed and appropriative operational functionality. Therefore, various producing, high quality and high-speed delivery of military products are of great importance in enhancing Iran’s defensive power. Defense industries’ supply chain agility is a response to how to produce military products with these features. Therefore, the purpose of this paper is to provide a model for the agile supply chain of defense industries to show the relationship between agile practices and their hierarchy.

First, the authors identify the most important supply chain agility practices by expert’s questionnaire. Then, using factor analysis, practices are categorized and validated based on structural equation modeling (SEM). SEM showed a meaningful relationship between agile supply chain practices. Finally, using interpretative structural modeling, a model is presented to show the logical relationships and hierarchy between these practices.

The results show that out of a total of 62 practices introduced in the previous research for the agile supply chain, 37 practices in the agility of the supply chain of defense industries are effective. The 4 new agility practices were identified in this research. These 41 practices were classified into 8 categories including supplier relationship, workshop level management, organizational structure improvement, human resource management, product designing, improve and integrate the process, application of information technology and customer relationship. Improvement of organizational structure was at the highest level of the model. Therefore, managers first should focus on it.

Given the confidentiality of information in the defense industry, the distribution of questionnaires and their collection was one of the most important limitations. A variety of defense products in land, air and sea areas, and a large number of industries in each sector, forced the authors to select the only land area. Although the results of this research can be used in the air and sea areas, but cannot be said that the implementation of this study presented model will fully lead to the defense industries’ supply chain agility in air and sea sectors.

This is the first research on the supply chain agility of Iran’s defense industry that bridges the gap between theory and practice. The classification of 41 practices in the form of 8 measures and examining the relationship between them is a new and practical approach for understanding the relationships between different variables that affect supply chain agility. This study introduces four new agility practices including the use of new technology and equipment, human resource balance, the use of expert human resources, training and employee empowerment, which can be considered in many industries of developing or less developed countries. Considering the specific situation of defense industry supply chain in comparison with other industries, the results of this research can be used by other defense industries of similar countries.

The purpose of this paper is to propose a new framework for assessing the risks of turnaround projects in upstream oil process plants.

This study represents a new hybrid framework for turnaround project risk assessment. First, according to experts’ opinions, the project risks were identified using interviews and brainstorming. The most important risks selected by experts and a hybrid multiple-attribute decision-making (MADM) method used to assess and prioritize them. The proposed MADM method uses fuzzy step-wise weight assessment ratio analysis (SWARA) and fuzzy evaluation based on distance from average solution (EDAS) methods based on trapezoidal fuzzy numbers.

In this research, 28 usual risks of turnaround projects are identified and 10 risks are then selected as the most important ones. The findings show, that among the risks of upstream oil industry turnaround projects from the perspective of experts, the risk of timely financing by the employer, with an appraisal score of 0.83, has the highest rank among the risks and the risk of machine and equipment failure during operation, with an appraisal score of 0.04, has the lowest rank.

The risk analysis based on inputs collected from the experts in the Iranian upstream oil industry, and so the generalization of the results is limited to the context of developing countries, especially oil producer ones. However, the proposed risk analysis methodology and key insights developed can be useful for researchers and practitioners in any other process industry everywhere.

A novel framework for risk assessment is introduced for turnaround projects in the oil industry using MADM methods. There is no literature on using MADM methods for turnaround project risk analysis in the oil and gas industries. Furthermore, this paper presents a hybrid fuzzy method based on SWARA and EDAS.

This paper aims to propose and test a research model that links social media usage with networking capabilities on the commercialization performance.

The target population of this study consisted of 530 managers and experts in knowledge-based firms in Science and Technology Parks of Isfahan (Iran), which were active in the electronics and electronic engineering, bio, renewable energy, nano and information and communication technologies. To determine the effects of the social media and networking capability on the commercialization performance in knowledge-based firms, this study collected the data through a questionnaire survey with knowledge-based firms and conducted statistical analysis. The unit of analysis is the entire firm. The random sampling method was applied in this study. This study mainly uses the validated existing scales of previous studies on Likert-type scales with response options ranging from 1 to 5. To increase the response rate and accuracy, the researchers in this study also conducted phone and e-mail survey. A total of 230 questionnaires were conducted to remove the questionnaires with inadequate or missing answers, and the final 220 cases were selected as valid samples.

First, this research confirmed that social media usage can positively improve commercialization performance. Second, this research confirmed the mediating role of the networking capability on the relationship between social media usage and commercialization performance. In fact, social media tools represent a potential vehicle to help firms create better relationships with partners and increase commercialization performance via these mechanisms.

This study contributes to the existing literature by integrating the domains of social media usage and business networks perspective. Social media has revolutionized the way firms interact with business partners. A salient characteristic of today’s business setting is that partners use social media to nurture and sustain their network relationships with others (Kim et al., 2016). Moreover, based on the dynamic capability theory and business networks perspective, the authors introduce the impression management capability as a networking capability dimension that has been neglected and mentioned only briefly.

The purpose of this paper is to present age-based replacement models subject to shocks and failure rate in order to determine the optimal replacement cycle. As a result, according to system reliability, maintenance costs of the system are to be minimized.

First, the modeling with respect to assumptions and two major factors (shocks and failure rate) is done. Second, by using of MATLAB the optimal parameters are obtained. Finally, analysis of results and comparison of models are done.

Analysis of results shows all models provide optimal replacement cycle and at this time, cost rate of the system by considering the reliability rate is minimal. Also with an increase of one unit to two units, reliability rate increases much higher than the rate of cost.

This work provides models that in addition to considering the failure rate (internal factors), also shocks as an external factor have been considered. By considering these two factors more comprehensive and adaptable models have been proposed.

Given the need to simultaneously implement lean and agile (LeAgile) paradigms in supply chain, managers do not know which of these paradigms practices should be given priority. Not knowing this, not only will they fail to apply these paradigms properly, but they will also waste significant financial resources. The purpose of this paper is to investigate the relationship between the practices of LeAgile paradigms and their effects on the supply chain performance.

Because the military products play a key role in national security enhancement, this research is done in the military product supply chain. Research methodology is an exploratory, mixed and descriptive one. In terms of its purpose, it is an applied research based on identifying and searching for practices and the use of interpretive equations. First, the authors identify the most important and implementable LeAgile practices in the form of importance feasibility analysis matrices. Then, using fuzzy interpretative structural modeling, a model is presented to show the logical relationships and hierarchy between paradigms, practices and their impact on supply chain performance. The research tool in both main stages of the research was the questionnaire completed by industrial and academic experts. The selection of experts was done purposefully.

The results show that of total 100 practices introduced in the previous research for LeAgile supply chain, 21 practices in the lean and agility of the supply chain of military industries are important and implementable. The final model of this study illustrates the hierarchical relationships between 21 practices and its effect on supply chain performance key measures. This model shows that LeAgile paradigms are intertwined and their simultaneous implementation leads to improved supply chain performance. In this model, supplier-related practices play a driving and fundamental role and become a top priority for implementation.

Military products variation in land, air and sea areas and the large number of industries in each sectors, forced us to select the only land area. Although the results of this research can be used in the air and sea areas, one cannot say that Implementation of this study by its presented model will fully lead to the military industries supply chain (SC) lean and agility in air and sea sectors.

To the best of the authors’ knowledge, this is the first research on the SC legality in Iran’s military industry which tries to apply these two paradigms simultaneously in the SC and bridge the gap between theory and practice. Clustering LeAgile practices, based on two measures of importance and feasibility, and defining four strategies for implementing these measures, is a new approach to focus on deploying practices that are currently more feasible. Identifying a significant number of SC LeAgile practices (100 practices) and demonstrating the interactions between important and feasible practices in the military products SC are another innovation in this research.