Challenges of inventory control for minimizing perishable product loss in food sector at Melaka

Md Isa, Fara Shuhada (2023) Challenges of inventory control for minimizing perishable product loss in food sector at Melaka. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)

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Abstract

This research paper aims to explore and describe the difficulties in perishable product inventory control strategy in food supply chain management. The research, which is done throughout Malaysia's supermarket chains, focuses on perishable goods. A perishable product is one that has a short shelf life or one that quickly degrades. These products include dairy products, medicines, and freshly prepared meals. Since they must be processed and transferred through the supply chain before perishing and losing either all or part of their value, this limited lifespan has an impact on inventory management. The suggested tactics are then contrasted with models described in the literature. The study will next determine the best method for minimising the loss of perishable goods that are not marketable by using the appropriate inventory control model. The study's conclusion includes the main conclusions. Researchers and practitioners have been paying close attention to the food supply chain management since it addresses food waste issue especially for perishable product. The researcher focuses on the challenges of inventory control in order to solve increasing perishable product loss rate in food sector. Moreover, researcher is determined to investigate the relationship between firs-in-first-out strategy (FIFO), automated storage and retrieval system (AS/RS) and monitoring strategy in minimizing the perishable product loss in food sector which that led to this study. This study employs a quantitative method. Primary data will be collected by a survey that will be distributed to all grocery store in Malacca state. In addition, 160 respondents will be chosen using probability sampling. To verify data consistency, a pilot test and reliability analysis will be conducted. Statistical Package for Social Sciences will also be used to analyse the results gathered from respondents (SPSS). To evaluate the researcher's hypothesis, descriptive statistics, Pearson's correlation coefficient, and multiple regression analysis are utilised. From the result, AS/RS and monitoring strategy have significant relationship in influencing the food sector in minimizing the perishable product loss and food waste. Researchers might use the proposed new conceptual framework to conduct future research or add other variables to the study.

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