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Pregled bibliografske jedinice broj: 1186429

Prediction of perishable goods deliveries by GRU neural networks for reduction of logistics costs

Ivana Bašljan; Naomi Frida Munitić, Nikica Perić, Vinko Lešić
Prediction of perishable goods deliveries by GRU neural networks for reduction of logistics costs // Proceedings of the IEEE International Conference on Technology Management, Operations and Decisions (IEEE ICTMOD 2021)
Marakeš, Maroko, 2021. str. 1-6 doi:10.1109/ICTMOD52902.2021.9739498 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Prediction of perishable goods deliveries by GRU neural networks for reduction of logistics costs

Autori
Ivana Bašljan ; Naomi Frida Munitić, Nikica Perić, Vinko Lešić

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the IEEE International Conference on Technology Management, Operations and Decisions (IEEE ICTMOD 2021) / - , 2021, 1-6

Skup
IEEE International Conference on Technology Management, Operations and Decisions (IEEE ICTMOD 2021)

Mjesto i datum
Marakeš, Maroko, 24.11.2021. - 26.11.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
neural networks, prediction, perishable goods, logistics, deliveries, supply management

Sažetak
Forecasting of demands of perishable goods is crucial in planning production schedules to satisfy customer needs on time, and to lower the profit losses of over or under stocks. Collaboration with one of local supermarket chains provided a reasonable foundation for this academic study to optimize the forecasting of deliveries of perishable goods for food supply chains. By carefully analyzing its logistics operations and real-time data of short-shelf life product deliveries, it is discovered that the current supply management of the stores is solely based on prior managerial experiences, taking into consideration the spoilage, stock-out rates, and holiday seasons. Sudden change in demand causes problems to managers who struggle with keeping up with unpredictable frequency, type, and quantity of goods delivered to a particular place from an assigned warehouse. The paper presents a methodology for reliable planning and scheduling of orders of perishable goods, enabling planners to construct delivery schedules having a low expected total cost. This study aims to implement artificial intelligence where the demand for perishable goods can be predicted a few days in advance, independently of any sudden changes. For that, it is used the Gated Recurrent Unit recurrent neural networks, which results in 81.3% average accuracy for observed 10 delivery points. Accurate prediction of demand results in delivering fresher products, which translates into economic benefits in terms of a higher product price.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Nikica Perić (autor)

Avatar Url Vinko Lešić (autor)

Avatar Url Ivana Bašljan Puceković (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Ivana Bašljan; Naomi Frida Munitić, Nikica Perić, Vinko Lešić
Prediction of perishable goods deliveries by GRU neural networks for reduction of logistics costs // Proceedings of the IEEE International Conference on Technology Management, Operations and Decisions (IEEE ICTMOD 2021)
Marakeš, Maroko, 2021. str. 1-6 doi:10.1109/ICTMOD52902.2021.9739498 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Ivana Bašljan & Naomi Frida Munitić, Nikica Perić, Vinko Lešić (2021) Prediction of perishable goods deliveries by GRU neural networks for reduction of logistics costs. U: Proceedings of the IEEE International Conference on Technology Management, Operations and Decisions (IEEE ICTMOD 2021) doi:10.1109/ICTMOD52902.2021.9739498.
@article{article, year = {2021}, pages = {1-6}, DOI = {10.1109/ICTMOD52902.2021.9739498}, keywords = {neural networks, prediction, perishable goods, logistics, deliveries, supply management}, doi = {10.1109/ICTMOD52902.2021.9739498}, title = {Prediction of perishable goods deliveries by GRU neural networks for reduction of logistics costs}, keyword = {neural networks, prediction, perishable goods, logistics, deliveries, supply management}, publisherplace = {Marake\v{s}, Maroko} }
@article{article, year = {2021}, pages = {1-6}, DOI = {10.1109/ICTMOD52902.2021.9739498}, keywords = {neural networks, prediction, perishable goods, logistics, deliveries, supply management}, doi = {10.1109/ICTMOD52902.2021.9739498}, title = {Prediction of perishable goods deliveries by GRU neural networks for reduction of logistics costs}, keyword = {neural networks, prediction, perishable goods, logistics, deliveries, supply management}, publisherplace = {Marake\v{s}, Maroko} }

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