Cold Chain Management Essentials

Aung, Myo Min; Chang, Yoon Seok

doi:10.1007/978-3-031-09567-2_4

Cited by 1 publication

(1 citation statement)

References 17 publications

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“…Cold chain can be defined as a combination of the environments, the tools, and the sequence of actions in a supply chain to keep perishable goodsespecially food, blood products, pharmaceuticals, and chemicalswithin a specified temperature range (Aung and Chang, 2022) in order to preserve their quality and safety for consumption by the end user. If, because of inadequate refrigeration, perishable goods are exposed to temperatures outside the desired range for a period of time that exceeds the specifications, they are subjected to degradation due to the growth of microorganisms and to the by-products of their metabolism; consequently, such goods may be no longer suitable for their intended uses (Mercier et al, 2017).…”

Section: Cold Chain Logisticsmentioning

confidence: 99%

Improving the picking efficiency of a cold warehouse to avoid temperature abuse

Benaglia,

Chen,

et al. 2024

IJLM

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PurposeThis research investigates how to optimize storage location assignment to decrease the order picking time and the waiting time of orders in the staging area of low-temperature logistics centers, with the goal of reducing food loss caused by temperature abuse.Design/methodology/approachThe authors applied ABC clustering to the products in a simulated database of historical orders modeled after the actual order pattern of a large cold logistics company; then, the authors mined the association rules and calculated the sales volume correlation indices of the ordered products. Finally, the authors generated three different simulated order databases to compare order picking time and waiting time of orders in the staging area under eight different storage location assignment strategies.FindingsAll the eight proposed storage location assignment strategies significantly improve the order picking time (by up to 8%) and the waiting time of orders in the staging area (by up to 22%) compared with random placement.Research limitations/implicationsThe results of this research are based on a case study and simulated data, which implies that, if the best performing strategies are applied to different environments, the extent of the improvements may vary. Additionally, the authors only considered specific settings in terms of order picker routing, zoning and batching: other settings may lead to different results.Practical implicationsA storage location assignment strategy that adopts dispersion and takes into consideration ABC clustering and shipping frequency provides the best performance in minimizing order picker's travel distance, order picking time, and waiting time of orders in the staging area. Other strategies may be a better fit if the company's objectives differ.Originality/valuePrevious research on optimal storage location assignment rarely considered item association rules based on sales volume correlation. This study combines such rules with several storage planning strategies, ABC clustering, and two warehouse layouts; then, it evaluates their performance compared to the random placement, to find which one minimizes the order picking time and the order waiting time in the staging area, with a 30-min time limit to preserve the integrity of the cold chain. Order picking under these conditions was rarely studied before, because they may be irrelevant when dealing with temperature-insensitive items but become critical in cold warehouses to prevent temperature abuse.

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Section: Cold Chain Logisticsmentioning

confidence: 99%