13 papers · ranked by Valyu relevance
Magnus Bengtsson, Jonas Waidringer
Research in warehouse optimization has gotten increased attention in the last few years due to e-commerce. The warehouse contains a waste range of different products. Due to the nature of the individual order, it is challenging to plan the picking list to optimize the material flow in the process. There are also…
Janik Bischoff, Anne Meyer, Uta Mohring, Fabian Dunke + 5 more
Order fulfillment in manual picker-to-goods warehouses involves interconnected decisions such as item assignment, order batching, and picker routing. While integrated models capture interactions between these decisions, practical warehouse systems often require decomposed approaches due to organizational boundaries…
Magnus Bengtsson, Jens Wittsten, Jonas Waidringer
This paper introduces a warehouse optimization procedure aimed at enhancing the efficiency of product storage and retrieval. By representing product locations and order flows within a time-evolving graph structure, we employ unsupervised clustering to define and refine compact order regions, effectively reducing…
Mohammadreza Farhadi Moghadam, Kaveh Khalili damghani, Vahidreza Ghezavati, Alireza Rashidi Komijan
This study proposes a novel bi-level optimization model for integrated warehouse planning, encompassing shelving technology selection, storage location assignment, and order picking decisions. Unlike previous studies that have largely treated these components in isolation, this research addresses the interdependencies…
Jun Chen, Shiyan Xu, Kaikai Liu, Shuqi Yao + 5 more
'Yuanjian Zhang' 'Zhengyu Zhu' 'Wanming Hao'] In order to cut down on costs to the greatest possible extent, enterprises hope to distribute goods to different customers at the lowest costs possible. Based on this, this paper proposes an optimal location method for an intelligent transportation logistics warehouse. This…
Atefeh Shahroudnejad, Payam Mousavi, Oleksii Perepelytsia, Sahir + 3 more
'David Staszak' 'Matthew E. Taylor' 'Brent Bawel'] Optimizing warehouse layouts is crucial due to its significant impact on efficiency and productivity. We present an AI-driven framework for automated warehouse layout generation. This framework employs constrained beam search to derive optimal layouts within given…
Atefeh Shahroudnejad, Payam Mousavi, Oleksii Perepelytsia, Sahir + 3 more
'David Staszak' 'Matthew E. Taylor' 'Brent Bawel'] Optimizing warehouse layouts is crucial due to its significant impact on efficiency and productivity. We present an AI-driven framework for automated warehouse layout generation. This framework employs constrained beam search to derive optimal layouts within given…
Wenbin Zhang, Yuehua Jin, Ronghua Zhang, Yiming Wang + 1 more
'Mazyar Ghadiri Nejad'] This paper proposes an optimization scheme for the layout of irregular warehouse spaces based on a class-based storage strategy. Firstly, we transform the irregular warehouse space into several regular rectangular areas. Next, through the class-based storage strategy, we develop an algorithm…
Huajun Di, Xiangjie Kong
The automated storage and retrieval system (AS/RS) has been developed rapidly and has been widely used in various fields. To achieve the ultimate goal of improving the efficiency of warehouse operation, this article studies the problem of goods location- allocation on the premise of a comprehensive analysis of the…
Sen Xue, Chuanhou Gao
Order picking and order packing entail retrieving items from storage and packaging them according to customer requests. These activities have always been the main concerns of the companies in reducing warehouse management costs. This paper proposes and investigates the Order Batching and Order Packing Problem, which…
Bo Zhang, Xiubo Liang, Wei Song, Yulu Chen
Optimization and Advanced Neural Networks Authors: ['Bo Zhang' 'Xiubo Liang' 'Wei Song' 'Yulu Chen'] Abstract. Within modern warehouse scenarios, the rapid expansion of e-commerce and increasingly complex, multi-level storage environments have exposed the limitations of traditional AGV (Automated Guided Vehicle) path…
Benjamin M. David, Paul A. Jensen
Coordinating multiple liquid handling robots is a complex logistical task when designing biological experiments. Protocol designers must consider the capabilities and constraints of each robot to distribute work optimally across multiple instruments. We developed an optimization framework that finds optimal liquid…
Evan Erickson, Jiaze Ma, Philip Tominac, Horacio Aguirre-Villegas + 1 more
Existing plastic recycling infrastructure largely relies on mechanical recycling technologies, which are capable of processing only a small subset of waste plastics. Emerging chemical technologies can “upcycle” plastic waste by producing high-value products (e.g., olefins that can be used to produce virgin-grade…