Resilience Regulation Strategy for Container Port Supply Chain under Disruptive Events
Journal of Marine Science and Engineering
; 11(4):732, 2023.
Article
in English
| ProQuest Central | ID: covidwho-2305922
ABSTRACT
There are many inevitable disruptive events, such as the COVID-19 pandemic, natural disasters and geopolitical conflicts, during the operation of the container port supply chain (CPSC). These events bring ship delays, port congestion and turnover inefficiency. In order to enhance the resilience of the CPSC, a modified two-stage CPSC system containing a container pretreatment system (CPS) and a container handling system (CHS) is built. A two-dimensional resilience index is designed to measure its affordability and recovery. An adaptive fuzzy double-feedback adjustment (AFDA) strategy is proposed to mitigate the disruptive effects and regulate its dynamicity. The AFDA strategy consists of the first-level fuzzy logic control system and the second-level adaptive fuzzy adjustment system. Simulations show the AFDA strategy outperforms the original system, PID, and two pipelines for improved dynamic response and augmented resilience. This study effectively supports the operations manager in determining the proper control policies and resilience management with respect to indeterminate container waiting delay and allocation delay due to disruptive effects.
Earth Sciences--Oceanography; modified two-stage container port supply chain; disruptive effects; two-dimensional resilience index; adaptive fuzzy double-feedback adjustment strategy; Pandemics; Control theory; Containers; Ports; Management decisions; Dynamic response; Control systems; Mathematical models; Fuzzy logic; Optimization; International trade; Fuzzy control; Adaptive control; Container ports; Inventory control; COVID-19; Manufacturing; Efficiency; Natural disasters; Control algorithms; Resilience; Decision making; Disasters; Game theory; Supply chains; Ships; Logistics
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Language:
English
Journal:
Journal of Marine Science and Engineering
Year:
2023
Document Type:
Article
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