Objective: This paper investigates the main supply chain disruption factors and influences in a set of industrial manufacturing and technology industries as well as the relationships that exist between them. Background: Disruption factors are obstacles that impede a manufacturing company filling customer orders and are treated as the main causal factors in this study. The number of unfilled orders of an industry is any obligation to provide a good or service that has not been met and is used as the main response variable in this research. Methods: Principal component analysis and exploratory factor analysis are both variable reduction techniques that were utilized together in order to isolate latent constructs behind disruption factors and identify significant disruption factors contributing to the unfilled orders for each industry. Results: Across a majority of manufacturing industries, insufficient supply of materials, equipment limitations, logistics/transportation constraints, a...

Enterprises affected by supply chain disruptions have reported adverse consequences and dramatic financial losses. Within the research area of supply chain risk management, researchers use simulation models and algorithms to analyze disruption risks and their potential effects on the supply chain. Supply chain disruption risk models focus on ways to quantify and assess disruption risks, study interdependencies between them, and explore the dynamic behavior of risks as they propagate through the network. So far, no review has covered and evaluated quantitative decision models which focus on these specific network-related risk characteristics. This paper derives a definition for supply chain disruption risk models and analyzes existing approaches on the basis of requirements derived from the literature. Its aims are to structure existing approaches, reveal their shortcomings, and guide future research efforts to improve prospective models systematically. This analysis reveals potentia...

Robustness of supply chain is rapidly expanding due to mitigation and reduction in the risk of unexpected and destructive events in the companies. As it is impossible for companies to resume their business post major crisis, the prediction of environmental factors that surround the companies paved way for development of a disaster recovery plan. 80% of the companies suffer from business interruptions and lack clarity in disaster management plan. A conceptual model was developed and validated based on supply chain management and supply chain robustness. A structured questionnaire was developed and administered to the supply chain managers. The survey data was collected from 126 organizations of the automotive sector. Structural equation modeling (SEM) techniques were employed to test the hypotheses. The study indicates that the robustness of Supply chain has a positive impact on the performance of the supply chain

Due to cost pressures and competitive advantages, the industries implementing globalization and outsourcing strategies to adapt to the changing business environment that is characterized by a relatively less stable state and increased sensitivity of their supply chains to disruptions. So companies are obliged to take seriously these risky events as well as to take other commercial risks. In this context and to achieve the objectives, the supply chain become more complex and consequently quite Lean and vulnerable to the disruptions of the risky events which can hinder or even prevent the achievement of those objectives. Therefore, in order to ensure this vicious circle, companies should adopt tools for analysis and evaluation in order to control these risk factors that potentially affect their ability to serve customers proficiently and effectively. Objective: The supply chain is a very important element in the automotive industry, to our knowledge no previous study has attempted to ...

Due to occurrence of unexpected disruptions,a resilient supply chain design is important. In this paper, a bi-objective model is proposed for designing a resilient supply chain including suppliers, distribution centers (DCs), and retailers under disruption risks.The first objective function minimizes total costs. The second objective function maximizes satisfied demands. We use the augmented e-constraint method to solve the bi-objective problem. In the proposed model, the possibility of partial disruptions of DCs as well as complete disruptions of connection links between distribution centers and retailers is considered. In order to reduce risk, resilience strategies including, using multiple sourcing, direct shipment of products from suppliers to retailers, and lateral transshipment between distribution centers are used.We utilize a two-stage stochastic programming method to deal with disruption risks. The decisions of the first stage of the method consist selection of suppliers an...