An Integrated Implementation Framework for Warehouse 4.0 Based on Inbound and Outbound Operations
Na minha lista:
| Publicado no: | Mathematics vol. 13, no. 14 (2025), p. 2276-2302 |
|---|---|
| Autor principal: | |
| Outros Autores: | , , , |
| Publicado em: |
MDPI AG
|
| Assuntos: | |
| Acesso em linha: | Citation/Abstract Full Text + Graphics Full Text - PDF |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3233231960 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2227-7390 | ||
| 024 | 7 | |a 10.3390/math13142276 |2 doi | |
| 035 | |a 3233231960 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231533 |2 nlm | ||
| 100 | 1 | |a Jizhuang, Hui |u Key Laboratory of Road Construction Technology and Equipment of MOE, Chang’an University, Xi’an 710064, China; huijz@chd.edu.cn (J.H.); 2021025006@chd.edu.cn (S.Z.); 2023025005@chd.edu.cn (W.L.); 2020125046@chd.edu.cn (C.C.) | |
| 245 | 1 | |a An Integrated Implementation Framework for Warehouse 4.0 Based on Inbound and Outbound Operations | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Warehouse 4.0 adopts automation, IoT, and big data technologies to establish an intelligent warehousing system for efficient, real-time management of storage, handling, and picking. Addressing challenges like unreasonable storage allocation and inefficient order fulfillment, this paper presents an integrated framework that utilizes swarm intelligence algorithms and collaborative scheduling strategies to optimize inbound/outbound operations. First, for inbound processes, an algorithm-driven storage allocation model is proposed to solve stacker crane scheduling problems. Then, for outbound operations, a “1+N+M” mathematical model is developed, optimized through a three-stage algorithm addressing order picking and distribution scheduling. Finally, a case study of an industrial warehouse validates the proposed methods. The improved mayfly algorithm demonstrates excellent performance, achieving 64.5–74.5% faster convergence and 20.1–24.7% lower fitness values compared to traditional algorithms. The three-stage approach reduces order fulfillment time by 12% and average processing time by 1.8% versus conventional methods. These results confirm the framework’s effectiveness in enhancing warehouse operational efficiency through intelligent automation and optimized resource scheduling. | |
| 653 | |a Swarm intelligence | ||
| 653 | |a Cranes | ||
| 653 | |a Collaboration | ||
| 653 | |a Time management | ||
| 653 | |a Order quantity | ||
| 653 | |a Automation | ||
| 653 | |a Order picking | ||
| 653 | |a Queuing theory | ||
| 653 | |a Internet of Things | ||
| 653 | |a Efficiency | ||
| 653 | |a Order processing | ||
| 653 | |a Scheduling | ||
| 653 | |a Costs | ||
| 653 | |a Genetic algorithms | ||
| 653 | |a Resource scheduling | ||
| 653 | |a Algorithms | ||
| 653 | |a Supply chains | ||
| 653 | |a Linear programming | ||
| 653 | |a Real time | ||
| 653 | |a Logistics | ||
| 653 | |a Warehouses | ||
| 653 | |a Optimization algorithms | ||
| 653 | |a Inventory | ||
| 700 | 1 | |a Zhi Shaowei |u Key Laboratory of Road Construction Technology and Equipment of MOE, Chang’an University, Xi’an 710064, China; huijz@chd.edu.cn (J.H.); 2021025006@chd.edu.cn (S.Z.); 2023025005@chd.edu.cn (W.L.); 2020125046@chd.edu.cn (C.C.) | |
| 700 | 1 | |a Liu, Weichen |u Key Laboratory of Road Construction Technology and Equipment of MOE, Chang’an University, Xi’an 710064, China; huijz@chd.edu.cn (J.H.); 2021025006@chd.edu.cn (S.Z.); 2023025005@chd.edu.cn (W.L.); 2020125046@chd.edu.cn (C.C.) | |
| 700 | 1 | |a Chu Changhao |u Key Laboratory of Road Construction Technology and Equipment of MOE, Chang’an University, Xi’an 710064, China; huijz@chd.edu.cn (J.H.); 2021025006@chd.edu.cn (S.Z.); 2023025005@chd.edu.cn (W.L.); 2020125046@chd.edu.cn (C.C.) | |
| 700 | 1 | |a Zhang, Fuqiang |u Key Laboratory of Road Construction Technology and Equipment of MOE, Chang’an University, Xi’an 710064, China; huijz@chd.edu.cn (J.H.); 2021025006@chd.edu.cn (S.Z.); 2023025005@chd.edu.cn (W.L.); 2020125046@chd.edu.cn (C.C.) | |
| 773 | 0 | |t Mathematics |g vol. 13, no. 14 (2025), p. 2276-2302 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3233231960/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3233231960/fulltextwithgraphics/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3233231960/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |