Zhimin Cui

With the development of the global economy and energy supply chain, the uncertainty and complexity of the bauxite maritime supply chain (BMSC) has been further increased. Determining the crucial risks and improving the supply chain’s resilient capacity based on operation objectives has become important, in order to ensure the sustainability and competitiveness of the BMSC. This paper combines quality function deployment (QFD), a multi-criteria decision method (MCDM), and intuitionistic fuzzy set (IFS); an integrated methodology is developed to achieve efficient design of BMSC resilient strategies (RESs), taking into account both customer requirements (CRs) and risk factors (RFs). A combined weighting method is employed to determine each CR’s importance. A decision-making trial and evaluation laboratory (DEMATEL) method is adopted to determine the RFs’ interrelationships. The results obtained with the MCDM are incorporated into QFD to construct a two-stage house of quality (HoQ) model, which transforms CRs into RFs, and then into RESs. The real case of the Guinea–China bauxite import supply chain is studied to demonstrate the applicability and validity of the proposed framework. Research results reveal that the most important CR is ‘stability’. ‘Information sharing asymmetry’, ‘poor ship stability or obsolete equipment performance’, and ‘lack of coordination between shipping and ports’ are the most severe risks impacting the operation of supply chain. Furthermore, ‘constructing strategic alliances’ contributes to alleviating potential risks, optimizing the allocation of resources, and finally, improving the resilience of the BMSC significantly. This paper will help managers to understand how to achieve sustainable development of the supply chain through resilient strategies, and will aid rational decision-making in the management and operation of a resilient BMSC for alleviating risk.

The concentralized distribution logistics in cruise-building imported materials (CDL-CIMs) constitute a complex process that requires a high degree of coordination between the multi-link and multi-participator. Delayed delivery, materials damaged, and cost overruns occur because of increasing uncertainties and risks, which may cause disjointedness in cruise construction planning. Therefore, it is essential to conduct a risk assessment of the CDL-CIMs to examine their adverse impacts on cruise construction. Drawing on the advantages of the failure modes and effects analysis (FMEA) method in risk assessment, an effective and efficient model is developed using a novel hybrid method in this paper, namely the rule-based Bayesian network (RBN) and utility function. The approach has its superiorities in dealing with vague and uncertainty risk information. In addition, the risk parameters from multiple perspectives concerning “occurrence likelihood”, “detection”, “delayed schedule”, “damaged quality”, and “additional cost” facilitate the understanding of the risk characteristics of the CDL-CIMs. The applicability and robustness of the proposed method are demonstrated by an empirical study for the first cruise constructed in China. The results reveal that the highest-priority threats are the poor management for the actors in the logistics chain (MR1), human errors (MR5), limited storage ability and poor environment of warehouse (ER2), and ignorance of good handling practices during the operation of loading and unloading (OR2). The conclusion can provide insight into the implementation of risk response strategies for cruise-building logistics management in China and other countries.