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This paper conducts performance assessment from integrated resilience engineering (IRE) and lean production points of view. This is the first study that evaluates the impact of integrated resilience engineering (IRE) on lean production principles. Second, this study considers integrated impact of lean production by a unique intelligent algorithm. The proposed algorithm is composed of radial basis function (RBF), multi-layer perceptron (MLP) and adaptive neuro-fuzzy inference system (ANFIS). Moreover, the algorithm is capable of handling both crisp and fuzzy data due to the existence of intelligent approach. The proposed algorithm is equipped with verification and validation mechanism through conventional regression, statistical methods and data envelopment analysis. To demonstrate the applicability of the study, a real-world pipe manufacturer is considered as our case study. The results showed that "pull system" and "fault tolerant" among lean and IRE factors,

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This paper presents a new multi-objective model for a vehicle routing problem under a stochastic uncertainty. It considers traffic point as an inflection point to deal with the arrival time of vehicles. It aims to minimize the total transportation cost, traffic pollution, customer dissatisfaction and maximizes the reliability of vehicles. Moreover, resiliency factors are included in the model to increase the flexibility of the system and decrease the possible losses that may impose on the system. Due to the NP-hardness of the presented model, a metaheuristic algorithm, namely Simulated Annealing (SA) is developed. Furthermore, a number of sensitivity analyses are provided to validate the effectiveness of the proposed model. Lastly, the foregoing meta-heuristic is compared with GAMS, in which the computational results demonstrate an acceptable performance of the proposed SA. .

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While strengths can be improved, when weaknesses are not addressed, the desired improvements are not achievable. Determining weaknesses and strengths is much more important when it comes to safety issues in critical industrial units. Oil, gas and petrochemical industry is the main pillar of the economy in Iran. Not only most of the oil, gas and petrochemical infrastructure in Iran are old and worn-out, but also the safety management practices are not adequate. Resilience engineering is a growing concept toward proactive and preventive safety and performance improvement in critical industrial units. This study presents a new algorithm for performance evaluation of resilience engineering culture in critical industrial units. A petrochemical plant is considered as a real-life case study to demonstrate the application of the proposed methodology. The presented algorithm is based on graph theory, statistical methods, and matrix algebra which offer some desirable properties for modeling and solving complex decision-making problems and considers the interactions between factors. To the best of our knowledge, this is the first study that proposes a performance evaluation algorithm based on graph theory and matrix approach.