Automated guided vehicles (AGVs) have recently acquired a lot of interest in the academic
research field and industry applications due to a variety of advantages, including increased …

While artificial intelligence (AI) experienced an increasing interest in industry during the past
decade, the true potential and applicability of AI for automotive original equipment …

The existing logistics practices frequently lack the ability to effectively handle disruptions.
Recent research called for dynamic, digital-driven approaches that can help prioritise …

Industrial Internet enables distributed manufacturing enterprises to efficiently and promptly
respond to the requirements of stakeholders using a manufacturing service collaboration …

In this paper we examine the current impact and future potential of AI on the custom
manufacturing industry. This study dives deep into the automotive component industry …

Dynamic dispatching rules that allocate resources to tasks in real-time play a critical role in
ensuring efficient operations of many automated material handling systems across …

With the continuous expansion of city scale and the advancement of transportation
technology, route recommendations have become an increasingly common concern in …

Results:• Avarage transport time decreased therefore production time decreased.• The
average of trips on production area decreased.• Problems caused by traffic, idleness of …

In the landscape of modern manufacturing, Reinforcement Learning (RL) stands out as a
promising frontier, offering transformative solutions to different challenges. This thesis …

Lojistiğin diğer boyutlarının aksine üretim lojistiği veya iç lojistik ile ilgili literatürde yeterli
sayıda denebilecek çalışma mevcut değildir. Hâlbuki üretim faaliyetleri içerisinde lojistik …