| dc.description.abstract | In the logistics industry, the cold chain system plays a major role in ensuring the
quality and safety of temperature-sensitive products such as pharmaceutical items
and other perishable goods (Vukašin et al., 2024). This study focused on analysing
how to optimize Cold Chain Management (CCM) within Sri Lanka’s private sector
pharmaceutical industry with an emphasis on storage and transportation. Rout (2024)
indicates that the high costs associated with the cold chain process, transportation and
storage inefficiencies, lack of skilled professionals, and regulatory inconsistencies can
hinder efficiency and complicate operations. The objective of the study was to analyse
how to enhance the decision-making process and reduce product spoilage during
storing and transporting functions while ensuring that medications reach patients in
optimal condition and protect the merchantable quality. Through a comprehensive
literature review, the key variables were identified, the use of the fuzzy logic framework
was highlighted, and the challenges in maintaining the quality were addressed. The
study contributes to the existing body of knowledge by applying this novel methodology
which can be used by any developing country that has logistical challenges and other
limitations. The findings give practical insights into the concerns of the decisionmakers
providing a blueprint focusing on travel time, packaging, skillful personnel,
temperature maintenance, and infrastructure availability. The study couples two
intangible benefits and identifies three extended benefit scales such as low, medium,
and high. In conclusion, the effective use of fuzzy logic in enhancing CCM offers an
adaptive and structured method for improving product quality and provides a valuable
tool for improving the management of temperature-sensitive products. | en_US |
