Neutrosophic LOPCOW-ARAS model for prioritizing industry 4.0-based material handling technologies in smart and sustainable warehouse management systems

Šimić, Vladimir; Dabić-Miletić, Svetlana; Tirkolaee, Erfan Babaee; Stević, Željko; Ala, Ali; Amirteimoori, Arash

doi:10.1016/j.asoc.2023.110400

Cited by 30 publications

(20 citation statements)

References 73 publications

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“…Comprehensive integration of the smart factory concept in industrial processes leads to changes in the economy, such as more flexible production, new products and services, new knowledge and skills, a reduction in human factor participation, the elimination of production errors, a reduction in production costs, etc. [1,3]. The practice has indicated that material handling processes in a smart factory concept are often the "weak link" because they are oriented towards product development following user requirements.…”

Section: Figure 1 Development Of Automation Technologies For Handling...mentioning

confidence: 99%

“…Industrial production is faced with a high frequency of changes at all levels, which is associated with unpredictable customer requirements. The emphasis is on making the product as simple to use, functional, and high-quality as possible to meet the user's requirements [1]. The user requires not only a product but also information, energy, and services.…”

Section: Introductionmentioning

confidence: 99%

“…In addition to the application of modern technologies in production activities, material handling in industrial processes requires a comprehensive investigation of the benefits of automation. The fact that about 80% of material handling is still done manually and only 20% with the help of forklifts and possibly automated guided vehicles (AGVs) is a sufficient indicator that an increase in autonomy is required for these activities [1,3].…”

Section: Introductionmentioning

confidence: 99%

“…It can be achieved by shortening transport routes, increasing the density of the network, optimizing the use of available time for handling materials, reducing the involvement of employees in difficult, repetitive, and tiring jobs, etc. Automated technologies for material handling in the smart factory concept would significantly reduce non-productive time, increase material turnover, reduce damage to goods, and reduce errors in logistics activities [1,4]. These contemporary technology solutions are also based on the use of renewable energy sources, so they are also environmentally sustainable.…”

Section: Introductionmentioning

confidence: 99%

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Benefits and Challenges of Implementing Autonomous Technology for Sustainable Material Handling in Industrial Processes

Dabic-Miletic

2024

JII

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The transition from traditional production activities to a manufacturing-dominated economy has been a hallmark of industrial evolution, culminating in the advent of the fourth industrial revolution. This phase is characterized by the seamless integration of digital advancements across all sectors of global industry, heralding significant strides in meeting the evolving demands of markets and consumers. The concept of the smart factory stands at the forefront of this transformation, embedding sustainability, which is defined as economic viability, environmental stewardship, and social responsibility, into its core principles. This research focuses on the critical role of autonomous material handling technologies within these smart manufacturing environments, emphasizing their contribution to enhancing industrial productivity. The automation of material handling, propelled by the exigencies of reducing material damage, minimizing human intervention in repetitive tasks, and mitigating errors and service delays, is increasingly viewed as indispensable for achieving sustainable industrial operations. The employment of artificial intelligence (AI) in material handling not only offers substantial benefits in terms of operational efficiency and sustainability but also introduces specific challenges that must be navigated to align with the smart factory paradigm. By examining the integration of autonomous material handling solutions, traditionally epitomized by the utilization of forklifts in industrial settings, this study delineates the essential benchmarks for their implementation, ensuring compatibility with the overarching objectives of smart manufacturing systems. Through this lens, the paper articulates the dual imperative of aligning material handling technologies with environmental and social sustainability criteria, while also ensuring their economic feasibility.

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Section: Figure 1 Development Of Automation Technologies For Handling...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Benefits and Challenges of Implementing Autonomous Technology for Sustainable Material Handling in Industrial Processes

Dabic-Miletic

2024

JII

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“…By 2022, the presence of AI was evident, from household robots to indispensable virtual assistants. However, a standout innovation of this industrial revolution is the Automated Guided Vehicles (AGVs) which are factory-level powerhouses equipped with automatic navigation, multi-sensor control, and advanced network interaction capabilities [29]. They have reshaped the very fabric of industrial floors, driving efficiency, timeliness, and safety to unprecedented levels.…”

Section: Introductionmentioning

confidence: 99%

Optimization of AGV Sorting Systems in Pharmaceutical Distribution: A Two-Stage Package Assignment and Simulation Approach

baz,

Wang,

Yoon

et al. 2024

Preprint

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Automated Guided Vehicles (AGVs) have played an important role in modern factories or warehouses, replacing traditional conveyor-based sorting systems due to their flexibility and scalability. However, existing works on AGV sorting systems primarily focus on improving performance from mechanical perspectives or network optimization for routing design. There is a lack of discussion on how to provide a holistic assignment strategy that considers not only the assignment at the sorting area but also the impact of traffic flow from upstream stations in the system. This study introduces a novel two-stage optimization model for AGV sorting systems in central fill pharmacies, implemented via a simulation-based heuristic algorithm. The methodology is based on a detailed analysis of the sorting system layout, assessing performance through key performance indicators (KPIs) such as throughput, utilization, and cycle time, complemented by a sensitivity analysis regarding the number of AGVs. Results demonstrate broad applicability across different automated systems, suggesting significant implications for operational efficiency.

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Optimization of AGV sorting systems in pharmaceutical distribution: a two-stage package assignment and simulation approach

El Baz,

Wang,

Yoon

et al. 2024

Int J Adv Manuf Technol

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Neutrosophic LOPCOW-ARAS model for prioritizing industry 4.0-based material handling technologies in smart and sustainable warehouse management systems

Cited by 30 publications

References 73 publications

Benefits and Challenges of Implementing Autonomous Technology for Sustainable Material Handling in Industrial Processes

Benefits and Challenges of Implementing Autonomous Technology for Sustainable Material Handling in Industrial Processes

Optimization of AGV Sorting Systems in Pharmaceutical Distribution: A Two-Stage Package Assignment and Simulation Approach

Optimization of AGV sorting systems in pharmaceutical distribution: a two-stage package assignment and simulation approach

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