Deep learning applications in manufacturing operations: a review of trends and ways forward

S Sahoo, S Kumar, MZ Abedin, WM Lim… - Journal of Enterprise …, 2023 - emerald.com
Purpose Deep learning (DL) technologies assist manufacturers to manage their business
operations. This research aims to present state-of-the-art insights on the trends and ways …

Hybrid partheno-genetic algorithm for multi-depot perishable food delivery problem with mixed time windows

N Li, G Li - Annals of Operations Research, 2022 - Springer
Energy cost for maintaining the freshness of food and the cost for timely delivery are two
main features to consider in food delivery. Stale food and early or late delivery reduce …

Artificial intelligence-based food-quality and warehousing management for food banks' inbound logistics

PJ Wu, YC Tai - Journal of Enterprise Information Management, 2024 - emerald.com
Purpose In the reduction of food waste and the provision of food to the hungry, food banks
play critical roles. However, as they are generally run by charitable organisations that are …

Multi-objective robust optimization for the sustainable location-inventory-routing problem of auto parts supply logistics

A Lv, B Sun - Mathematics, 2022 - mdpi.com
A great loss of transportation capacity has been caused in auto parts supply logistics due to
the independent transportation from auto parts suppliers (APSs) to the automobile …

Optimal selection of third-party logistics providers using integer programming: A case study of a furniture company storage and distribution

M Alnahhal, MI Tabash, D Ahrens - Annals of Operations Research, 2021 - Springer
This paper investigates the selection of third-party logistics providers (3PLs) based on the
best prices offered by them. The focus is on outbound logistics where 3PLs must have their …

Reduce Transportation Costs Using the Milk-run System and Dynamo Stages in the Vehicle Manufacturing Industry

I Setiawan, H Kurnia, S Setiawan, HH Purba… - … Sciences: Theory and …, 2022 - oresta.org
The vehicle manufacturing industry is one of the automotive industries in Indonesia that
produces four-wheeled vehicles with the main product being cars. The vehicle …

Cross-dock facility for disaster relief operations

F Faghih-Mohammadi, MM Nasiri, D Konur - Annals of Operations …, 2023 - Springer
In an emergency logistics operation, quick delivery and fair distribution of relief items are of
extreme importance. Using direct shipments from suppliers to the affected areas for …

Modelling material flow using the Milk run and Kanban systems in the automotive industry

D Simić, V Svirčević, E Corchado… - Expert …, 2021 - Wiley Online Library
Material flow management refers to the analysis and specific optimization of the inventory‐
production system. Material flow can be characterized as the organized flow of material in a …

Integrated problem of car sequencing and vehicle routing on an automotive mixed-model assembly line

J Chen, H Zhou, Q Xue, N Xie, YW Sang - Computers & Industrial …, 2025 - Elsevier
We address an integrated problem of car sequencing on an automotive mixed-model
assembly line and multi-trip vehicle routing for external sync-part supply. The sync-parts …

Evaluation of the Environmental Cost of Integrated Inbound Logistics: A Case Study of a Gigafactory of a Chinese Logistics Firm

L Liu, Z Long, C Kou, H Guo, X Li - Sustainability, 2023 - mdpi.com
In recent years, sustainable development has become an emerging trend in the logistics
industry. Smart manufacturing factories pursue green logistics processes with lower energy …