Assessment of Collaboration-Based and Non-Collaboration-Based Logistics Risks with Plithogenic SWARA Method


ULUTAŞ A., Kavaliauskine I. M., TOPAL A., DEMİR E.

LOGISTICS-BASEL, vol.5, no.4, pp.1-14, 2021 (ESCI) identifier

  • Publication Type: Article / Article
  • Volume: 5 Issue: 4
  • Publication Date: 2021
  • Doi Number: 10.3390/logistics5040082
  • Journal Name: LOGISTICS-BASEL
  • Journal Indexes: Emerging Sources Citation Index (ESCI)
  • Page Numbers: pp.1-14
  • Keywords: logistics risks, MCDM, plithogenic SWARA, SUPPLY CHAIN, NEUTROSOPHIC SETS, SERVICE PROVIDERS, HUMANITARIAN AID, MANAGEMENT, FRAMEWORK, SELECTION, MODEL
  • Inonu University Affiliated: No

Abstract

Background: Uncertainty is the major source of hazards, and it is present in a wide range of business activities. Due to the high level of unpredictability in logistics operations, the logistics sector has traditionally operated in a high-risk environment. These risks have become considerably more complicated as the corporate environment has changed in recent years, such through globalization, environmental concerns, and changes in demand. As a result, in order for a logistics firm to thrive, it is necessary to evaluate and assess the risks associated with logistics. Methods: The Plithogenic Stepwise Weight Assessment Ratio Analysis (SWARA) has been used in this study to assess the logistics risks. The logistics risk considered in this study are transportation-related risks, purchasing-related risks, inventory-related risks, information-related risks, packaging-related risks, operational-related risks, geographical location-related risks, natural disaster-related risks, and organization-related risks. Results: The most significant logistics risks are found to be Inventory-Related Risks, while the least significant are Geographical Location-Related Risks. When compared to the standard SWARA approach, the Plithogenic SWARA method may be employed in group decision-making issues without losing information. Conclusions: The proposed technique will help logistics professionals make informed decisions and manage and analyze risks more efficiently. This study will also contribute to the literature as it is the first time that logistical risks have been addressed by utilizing the Plithogenic SWARA technique.