Journal Article10.1016/j.cie.2023.109180
A Three-Stage model for Clustering, Storage, and joint online order batching and picker routing Problems: Heuristic algorithms
9
TL;DR: In this paper , the authors proposed a three-stage model, the first stage aims to classify products according to various available capacity levels to maximize similarity measures among products, and the second stage determines the assignments of the obtained classes to carriers and storage locations in a multi-block 3D warehouse to minimize the total transportation costs and the energy costs of carriers.
read more
About: This article is published in Computers & Industrial Engineering. The article was published on 01 Mar 2023. The article focuses on the topics: Computer science & Heuristic.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Multipath traveling purchaser problem with time-dependent market structure using quantum-inspired variable length genetic algorithm
Somnath Maji,Kunal Pradhan,Samir Maity,Izabela Ewa Nielsen,Debasis Giri,Manoranjan Maiti +5 more
TL;DR: This study develops an IoT-enabled, Type-2 fuzzy logic system-based multipath traveling purchaser problem with time-dependent market structure, solved using a quantum-inspired variable length genetic algorithm, optimizing routes for minimum cost against time constraints in developing countries.
3
Development of a Simulation-Based Solution Concept for AI-Driven Clustering / Combination of Pick and Stow Operations to Improve Logistics Performance in SMEs
Timo Schroth,Vera Hummel,K. H. Von Leipzig,Jan Schuhmacher +3 more
- 28 Aug 2024
TL;DR: This study develops a simulation-based AI-driven solution to optimize pick and stow operations in SMEs, leveraging clustering and combination algorithms to reduce travel distance and time, improving logistics performance and efficiency in complex intralogistics environments.
Investigation of AI Algorithms for the Clustering and Combination of Pick and Stow Operations in Warehouses and Development of a Learning Module for Undergraduates
Timo Schroth,Vera Hummel,Jan Schuhmacher,Konrad von Leipzig +3 more
- 01 Jan 2024
A literature review and bibliometric analysis of 50 years of optimization approaches applied to the order batching problem
Anderson Rogério Faia Pinto,Esra Boz,Rafael Henrique Faia Pinto,Marcelo Seido Nagano +3 more
Multi-Objective Combinatorial Optimization Algorithm Based on Asynchronous Advantage Actor–Critic and Graph Transformer Networks
Dongbao Jia,Ming Cao,Wenbin Hu,Jing Sun,Hui Li,Yichen Wang,Weijie Zhou,Tiancheng Yin,Qian Ran +8 more
TL;DR: A novel multi-objective combinatorial optimization algorithm combines asynchronous advantage actor-critic and graph transformer networks to address challenges in deep reinforcement learning, achieving improved training efficiency and solution diversity on the bi-objective traveling salesman problem.
References
Mining SOTs and dispatching rules from RFID-enabled real-time shopfloor production data
TL;DR: A data mining approach to estimate realistic SOTs and unknown dispatching rules from RFID-enabled shopfloor production data is proposed, aiming at improving the quality and stability of production plans and schedules.
An adaptive CGAN/IRF-based rescheduling strategy for aircraft parts remanufacturing system under dynamic environment
TL;DR: A problem-oriented conditional generative adversarial networks (CGAN) for data augmentation is developed in order to deal with the data imbalance in different classes in the remanufacturing system and the results show the competitiveness of the proposed approach in reducing the rescheduling trigger times and the Rescheduling performance improvement.
Order batching and sequencing problem under the pick-and-sort strategy in online supermarkets
TL;DR: This paper studies the order batching and sequencing problem with limited buffers with the objective of minimizing the total time of two processes for a given set of orders and solves the problem with a modified seed algorithm.
Predictive–reactive scheduling on a single resource with uncertain future jobs
Bibo Yang,Joseph Geunes +1 more
TL;DR: A scheduling problem where the firm must compete with other firms to win future jobs is considered and a simple algorithm for the optimal planned idle time and the best reactive method for schedule disruptions is provided.
The Impact of Website Information Convenience on E-commerce Success of Companies
TL;DR: This paper shows not only the importance of convenience in online shopping, but also it shows that website information convenience plays very important role in success of companies in competition through e-commerce and this factor leads the companies to rich the competitive advantage and be successful in achieving their final goals.