Loading...

A Model using Interval-Based Multi-Criteria Decision-Making for Assessing Blockchain-Iot Technology in Supply Chain Systems

Barat Ahmadabadi, Alireza | 2023

63 Viewed
  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 56538 (44)
  4. University: Sharif University of Technology
  5. Department: Management and Economics
  6. Advisor(s): Khalili Nasr, Arash
  7. Abstract:
  8. Supply Chain (SC) systems stand at the cusp of a transformative era, thanks to the synergistic integration of Blockchain Technology (BT) and the Internet of Things (IoT). This confluence promises a plethora of benefits, encompassing heightened data protection, unparalleled transparency, robust fraud prevention mechanisms, meticulous traceability, and substantial financial efficiencies. However, the technological landscape is still in its embryonic phase, leading to a pronounced knowledge void and a palpable uncertainty in the realm of platform selection for SC systems. The challenge is further compounded by the intricate web of criteria, often with overlapping and interdependent facets. Diving into this complex milieu, this research unfurls a pioneering and pragmatic methodology tailored to navigate the maze of BT-IoT platform selection for SC systems. This methodology is firmly anchored in the principles of multi-criteria decision-making. The journey commences with an exhaustive trawl through existing literature, aiming to distill and crystallize the quintessential criteria pivotal for an informed BT-IoT platform selection. Following this foundational groundwork, the research harnesses the prowess of the interval Weighted Influence Non-linear Gauge System (WINGS). This approach is meticulously designed to quantify and rank the significance of each criterion, ensuring that the selection process is both holistic and nuanced. But the innovation doesn't stop here. The study further incorporates the interval VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) methodology. This method serves as a robust yardstick, meticulously evaluating the compatibility and alignment of various platforms with the identified criteria. A standout feature of the proposed methodology is its intrinsic ability to assimilate expert insights, recognize the intricate tapestry of interrelated criteria during the weighting phase, and seamlessly adapt to a multi-tiered, interconnected network structure. To translate this theoretical framework into tangible insights, the research presents a real-world case study drawn from the food industry. This illustrative example serves as a testament to the model's pragmatic applicability and its potential to revolutionize platform selection in SC systems. Yet, the research doesn't rest on its laurels. In a bid to further fortify the model's credibility and to underscore its robustness in facilitating the selection of the most resilient and aligned platform for SC systems, an in-depth sensitivity analysis is undertaken. This additional layer of scrutiny ensures that the model is not just theoretically sound but is also resilient and adaptable in the face of evolving real-world challenges and dynamics
  9. Keywords:
  10. Blockchain ; Supply Chain Network Design ; Multicriteria Decision Making ; Food Industries ; Interval Numbers ; Internet of Things

 Digital Object List

 Bookmark

No TOC