Simulation based multiple disturbances evaluation in the precast supply chain for improved disturbance prevention. (10th March 2018)

• Record Type: Journal Article
• Authors: Wang, Zhaojing; Hu, Hao; Gong, Jie
• Is Part Of: Journal of cleaner production. Volume 177(2018)
• Page Start: 232
• Page End: 244
• Publication Date: 2018-03-10
• Subjects: Precast components -- Precast supply chain management -- Disturbance prevention -- Priority evaluation -- Discrete event simulation; Factory and trade waste -- Management -- Periodicals; Manufactures -- Environmental aspects -- Periodicals; Déchets industriels -- Gestion -- Périodiques; Usines -- Aspect de l'environnement -- Périodiques; 628.5
• DOI: 10.1016/j.jclepro.2017.12.188
• Languages: English
• ISSNs: 0959-6526

Abstract

Abstract: Disturbances are inevitable and ubiquitous in the precast supply chain. Systematic evaluations of the impact of individual disturbances to prioritize the prevention of various disturbances are critical for realizing the full potential of logistical profits. This is especially true when the disturbance prevention budget is insufficient. Whereas, existing studies focused primarily on single disturbance analyses or precautions evaluation. This study proposes an overall disturbance evaluation model to assess the uncertainty of precast supply chain. The model is developed using ARENA-based discrete event simulation methods, and aims to address the lack of systematic multiple disturbances evaluation before the implementation of precaution measures. The model constructs include a real-world precast supply chain environment which considers four categories of disturbances derived from suppliers, manufacturers, logistics, and customers. In the model, the importance of disturbance is evaluated from both operational and economic perspectives, and the upper bound for the implementation cost of each precaution measure is provided. Finally, eleven scenarios with different levels of exposure to disturbances are investigated to test the validity of the proposed approach. Numerical results indicate that system failure is the most critical disturbance in this precast supply chain, followed by PC quality problem, PC reproduction owing to repair failure, and the material quality problem. The findings could facilitate the multiple disturbance management in the precast supply chain. Highlights: The disturbances sourced from the suppliers, manufacturers, logistics, and customers are simultaneously analyzed based on a holistic pre-implementation evaluation model. Multiple types of disturbances are prioritized based on the simulation of real-world production environments. The upper bound of the implementation cost for each disturbance precaution measure is provided. System failure is the most critical disturbance for the studied precast supply chain.