A Novel Interoperability Evaluation Framework for the Warehouse Management System DOI
Tijo Thayil, Jingbing Zhang, Prahlad Vadakkepat

et al.

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, Journal Year: 2023, Volume and Issue: unknown, P. 1 - 6

Published: Oct. 16, 2023

Warehouse management is a critical element in the supply chain. The rise of e-commerce demands 'any-mix any-volume' customized and personalized orders. Due to variety products scenario warehouse operations have become complex. advent multi-channel commerce has reduced minimum order quantity (MOQ), claiming frequent changes. require flexible automation for product storage, retrieval, packing shipping. Seamless multiple devices are essential automating warehouses. For effective operations, Management System (WMS) requires controlling associated auxiliary systems. Heterogenous with distinct communication protocols, data formats connectivity challenges WMS centered control. An interoperable can enable seamless exchange among devices. In this work, interoperability various aspects engineering systems presented. Different system designs considered evaluated requirements. A framework evaluating proposed which validated through experimental trials at an industry grade warehouse.

Language: Английский

Construction of Standard Cost System for Operations and ERP Management System Based on Data Acquisition Technology DOI
Xiang Gao,

H.Q. Huo,

Jiani Li

et al.

Lecture notes on data engineering and communications technologies, Journal Year: 2025, Volume and Issue: unknown, P. 265 - 278

Published: Jan. 1, 2025

Language: Английский

Citations

0

Framework of Best Practices to Drive the Digital Transition: Towards a 4.0 Paradigm Based on Evidence from Case Studies DOI Creative Commons
Tiago Bastos, Carlos Guimarães, Leonor Teixeira

et al.

Future Internet, Journal Year: 2025, Volume and Issue: 17(2), P. 82 - 82

Published: Feb. 11, 2025

In a technology-driven world, the concepts of digitalization and Industry 4.0 (I4.0) are an ever more present reality for companies. The benefits which these advancements offer, coupled with market-driven pressure to reduce response times, have placed businesses in technological “wave”, where it is imperative adapt avoid falling behind. While numerous studies focus on developments—such as definitions, capabilities, potential benefits—few provide systematic approach best practices recommendations accelerating digital transformation while mitigating adverse impacts. this study, case from 10 companies analyzed identify systematize implemented their transitions. findings culminate best-practice framework transition (DT), highlighting critical aspects such understanding company’s current state, acquiring external knowledge, addressing importance cybersecurity skilled staff. Concerning originality, work presents artifact based manufacturing industry studies, emphasizing practical vision concerning DT.

Language: Английский

Citations

0

Sustainability Impact of Automated Warehouses in Industry 4.0 scenario DOI Open Access
Antonio Cosma, Gabriele Zangara, Luca Silvestri

et al.

Procedia Computer Science, Journal Year: 2025, Volume and Issue: 253, P. 3196 - 3205

Published: Jan. 1, 2025

Language: Английский

Citations

0

ERP Integration: Enhancing Collaboration in Virtual and Extended Enterprises DOI
Usman Ahmad Usmani, Ari Happonen, Junzo Watada

et al.

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 161 - 178

Published: Jan. 1, 2024

Language: Английский

Citations

2

An ERP Based Industry 4.0 Maturity Model Proposal DOI
Kerem Elibal, Eren Özceylan, Cihan Çetinkaya

et al.

Çukurova Üniversitesi Mühendislik Fakültesi Dergisi, Journal Year: 2024, Volume and Issue: 39(2), P. 535 - 544

Published: July 11, 2024

This study proposes an Enterprise Resource Planning (ERP) based Industry 4.0 maturity. The model aims to make the vast array of technologies comprehensible and actionable for Small Medium Sized Enterprises (SMEs) by mapping them specific ERP functions, thus enabling a more agile tailored approach digitalization. A comprehensive literature review revealed limited research on this integrated highlighted need that supports quick assessments adaptable implementation strategies. sample application has been conducted in manufacturing company it seen leverages ERP's modularity address company-specific needs includes rapid evaluation features provides dynamic requirements SMEs, enhancing their competitive edge digital landscape. Additionally, findings serve as valuable guide designers/vendors, providing insights into integration can enhance system capabilities.

Language: Английский

Citations

2

Principles for Sustainable Integration of BIM and Digital Twin Technologies in Industrial Infrastructure DOI Open Access
Vladimir Badenko,

Nikolai Bolshakov,

Alberto Celani

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(22), P. 9885 - 9885

Published: Nov. 13, 2024

As industries evolve towards greater digitalization, integrating Building Information Modeling (BIM) and digital twin technologies presents a unique opportunity to enhance sustainability in industrial infrastructure. This paper formulates comprehensive set of principles aimed at guiding the sustainable integration these within context modern facilities, often referred as “Factories Future”. The are designed address critical challenges, including minimizing environmental impact, optimizing resource efficiency, ensuring long-term resilience. Through detailed examination lifecycle management, data interoperability, collaborative stakeholder engagement, this work provides strategic framework for leveraging achieve goals. outlined not only promote greener practices but also pave way innovation development is intended serve foundation future research practical application, supporting global shift more operations.

Language: Английский

Citations

2

Developing a Machine Learning Algorithm for Service Robots in Industrial Applications DOI Creative Commons

Nizamettin Kulaç,

Mustafa Engin

Machines, Journal Year: 2023, Volume and Issue: 11(4), P. 421 - 421

Published: March 25, 2023

Robots, which have mostly been effective in areas such as industrial, agricultural, and production facilities, started to take a place the service sector, their technologies become lower cost more easily accessible. This situation has attracted attention of companies researchers accelerated studies on this subject. In study, an algorithm was developed for autonomous mobile robot serve industrial areas. line with it ensured that mapped working environment, determined station then carried out transport operations between these stations accordance given work order. After fulfilled order, went into waiting state until new order received. For save energy, waited close point where came most, by means machine learning position. The algorithms were designed using NI LabVIEW environment simulated RobotinoSIM physically tested Robotino platform. experimental results showed mapping location reporting RGB camera, odometry, QR code eliminated permanent errors, completed 50 orders 100% accuracy.

Language: Английский

Citations

6

Strategic Roadmap for Adopting Data-Driven Proactive Measures in Solar Logistics DOI Creative Commons

Madhura Bhandigani,

Akram Pattan,

Silvia Carpitella

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(10), P. 4246 - 4246

Published: May 16, 2024

This study presents a comprehensive overview of the solar industry’s transition towards resilient energy solutions, emphasizing critical role data-driven practices in driving this through responsible resource management. As continuous technological refinement is essential to optimize energy’s potential, smart use available data plays significant part enhancing accessibility panels. Building upon prior research investigating influence Big Data on logistics, paper proposes hybrid Multi-Criteria Decision-Making (MCDM) methodology based expert experience, providing practical support implementation proactive measures within industry. Specifically, focuses aimed at effectively implementing two main logistic strategies, which are Route Optimization (RO) and Warehouse Management (WM). A rigorous analysis criteria considered be relevant literature first conducted. Criteria will screened weighted eventually act as drivers toward measure assessment prioritization. final sensitivity culminates formalization findings formulation pragmatic roadmap tailored for industry practitioners, designed increase operational efficiency while integrating key sustainability principles across supply chain endeavors.

Language: Английский

Citations

1

IMPROVEMENT OF THE QUALITY MANAGEMENT SYSTEM IN THE TRANSPORT AND LOGISTICS SECTOR DOI Creative Commons

Iryna Moskvichenko,

Viktoriia Stadnik, Liudmyla Kushnir

et al.

Baltic Journal of Economic Studies, Journal Year: 2024, Volume and Issue: 10(4), P. 301 - 309

Published: Dec. 17, 2024

Improving the quality management system in transport and logistics sector is a critical element ensuring efficient operations, reducing costs improving customer service. Quality covers all aspects of transportation, storage, handling delivery goods, which requires systematic approach to achieve high standards This topic becoming increasingly relevant context globalised markets, when competition between businesses depends on ability deliver goods end consumer quickly efficiently. The study examines main methods system, including implementation international such as ISO 9001, use modern technologies, process automation digitalisation system. One important aspect optimisation supply chain management, helps reduce increase productivity at stages processes. also analyses role innovative solutions, artificial intelligence Internet efficiency operations. These technologies do not allow real-time tracking processes, impairs increased transparency accountability Particular attention paid Lean Six Sigma approaches, can eliminate inefficiencies, defects improve overall novelty this lies an integrated sector, taking into account technological trends digitalisation, tools. Unlike previous studies that have mostly focused individual or paper proposes integration new cover key elements results demonstrate only ensures competitiveness enterprises, but provides better compliance with expectations, factor for success today's market. application allows companies significant improvements productivity, reliability efficiency, ultimately increases business profitability. significance work its contribution development both theory practice management. In theoretical aspect, forms approaches optimising processes by introducing concepts innovations efficiency. practical terms, will contribute creation more sustainable, safe environmentally responsible systems meet requirements market society. Thus, strategic direction long-term sustainability organisations competitive environment.

Language: Английский

Citations

1

Acquiring Automation and Control Data in The Manufacturing Industry: A Systematic Review DOI Open Access
Andi Sama, Harco Leslie Hendric Spits Warnars, Harjanto Prabowo

et al.

Procedia Computer Science, Journal Year: 2023, Volume and Issue: 227, P. 214 - 222

Published: Jan. 1, 2023

Industry 4.0 has driven the need for Information Technology (IT) & Operational (OT) convergence to modernize OT by leveraging IT. The challenges manufacturing operations are utilizing and converting years of scattered data into valuable information integrated company's digital transformation strategy. This paper aims provide a systematic literature review current evidence in acquiring automation control technologies operations, such as Programmable Logic Controller (PLC), Supervisory Control Data Acquisition (SCADA), Distributed System (DCS), Manufacturing Execution (MES), analytics purposes identify trends best practices this area. findings cover on influential researchers, published journals, research trends, industries, industry types, types applications, methods, frameworks from legacy infrastructure.

Language: Английский

Citations

3