scholarly journals Assembly system configuration through Industry 4.0 principles: the expected change in the actual paradigms

2017 ◽  
Vol 50 (1) ◽  
pp. 14958-14963 ◽  
Author(s):  
Yuval Cohen ◽  
Maurizio Faccio ◽  
Francesco Gabriele Galizia ◽  
Cristina Mora ◽  
Francesco Pilati
Keyword(s):  
Industry 4.0 ◽  
Assembly System ◽  
System Configuration

Assembly System Configuration Design for Reconfigurability Under Uncertain Production Evolution

2019 ◽  
Vol 141 (7) ◽  
Author(s):  
Zhengqian Jiang ◽  
Hui Wang ◽  
Maxim A. Dulebenets ◽  
Junayed Pasha
Keyword(s):  
System Throughput ◽  
Assembly System ◽  
Configuration Design ◽  
System Configuration ◽  
Case Scenario ◽  
Worst Case ◽  
Design Evolution ◽  
Product Evolution ◽  
Concurrent Optimization ◽  
The Impact

Assembly system configuration determines the topological arrangement of stations with defined logical material flow among them. The design of assembly system configuration involves (1) subassembly planning that defines subassembly tasks and between-task material flows and (2) workload balancing that determines the task-station assignments. The assembly system configuration should be flexibly changed and updated to cope with product design evolution and updating. However, the uncertainty in future product evolution poses significant challenges to the assembly system configuration design since the higher cost can be incurred if the assembly line suitable for future products is very different from that for the current products. The major challenges include (1) the estimation of reconfiguration cost, (2) unavailability of probability values for possible scenarios of product evolution, and (3) consideration of the impact of the subassembly planning on the task-station assignments. To address these challenges, this paper formulates a concurrent optimization problem to design the assembly system configuration by jointly determining the subassembly planning and task-station assignments considering uncertain product evolution. A new assembly hierarchy similarity model is proposed to estimate the reconfiguration effort by comparing the commonalities among different subassembly plans of current and potential future product designs. The assembly system configuration is chosen by maximizing both assembly hierarchy similarity and assembly system throughput under the worst-case scenario. A case study motivated by real-world scenarios demonstrates the applicability of the proposed method including scenario analysis.

scholarly journals Towards Blockchain Network Platform for IoT Data Integrity and Scalability

2021 ◽  
Author(s):  
◽  
Chung Yup Kim
Keyword(s):  
Industry 4.0 ◽  
Data Integrity ◽  
Transaction Processing ◽  
Consensus Algorithm ◽  
Central Authority ◽  
System Configuration ◽  
Integration Platform ◽  
Financial Domain ◽  
Network Platform ◽  
Conventional Models

<p>Decentralised technology backed by blockchain has gained popularity in recent years, as it secures autonomous ecosystems without the need for a central authority. The blockchain concept originated in the financial domain using cryptocurrency but has been applied to a variety of industries over the last few years. In the era of Industry 4.0, most enterprises leverage automation by using Internet of Things (IoT) technology. Despite the numerous applications of blockchain across industries, significant latency in the consensus algorithm in blockchain hinders its adoption among businesses using IoT technology. A number of studies have addressed the obstacles of transaction processing performance and system scalability, mostly based on a public blockchain. However, the approaches still involve centralised components and thus fail to fully utilise decentralisation. Here, a private blockchain-based IoT data integration platform is proposed to achieve data integrity and system scalability. Along with a lightweight IoT gateway, instead of any other additional middleware, the process and the system configuration are streamlined. By using Hyperledger Fabric, the design is validated, and the proposed architecture outperforms other conventional models in IoT data processing. Thus, decentralisation in IoT environments is achieved.</p>

Identification of Assembly System Configuration for Cyber-Physical Assembly System Planning

2016 ◽  
Vol 840 ◽  
pp. 24-32 ◽  
Author(s):  
Rainer Müller ◽  
Matthias Vette ◽  
Leenhard Hörauf ◽  
Christoph Speicher
Keyword(s):  
Planning Process ◽  
Assembly Planning ◽  
Shop Floor ◽  
Assembly System ◽  
Assembly Systems ◽  
Virtual Model ◽  
System Configuration ◽  
Virtual Planning ◽  
Actual Configuration ◽  
Modular Structures

To respond to challenges created by an increase of product variants, multi-variant lines are used as today’s assembly systems. In these multi-variant lines different product variants with diverse lot sizes can be efficiently assembled. These assembly systems are characterized by modular structures that allow assembly system adaptation by reconfiguration.The variety of parameters to be considered from the product’s perspective and the correct allocation of different assembly modules increases the complexity when planning these systems. This complexity makes it difficult to successfully plan and implement production processes. Therefore, digital planning tools and models have to be used to schedule new product variants and to verify that the assembly is possible, given by the modules in the assembly line.Due to its ability to reconfigure, the actual assembly system is adaptable to different product variants. But these modifications are performed by the operator on the shop floor and are often neither properly documented nor communicated to the assembly planer. Thus, the configuration status in reality and the virtual model differ from each other. Using the outdated model for planning without taking into account the changes can result in an unrealizable assembly plan.To overcome this problem, the presented paper introduces a method and technical system to identify the actual assembly system configuration before the assembly planning is done. Due to the subsequent update of the virtual model depending on the actual configuration, the assembly planner is supported with the latest version of the assembly system configuration. Furthermore, the assembly planning process is improved, because possible failures are detected in advance in the virtual planning environment.

scholarly journals Assembly system design in the Industry 4.0 era: a general framework

2017 ◽  
Vol 50 (1) ◽  
pp. 5700-5705 ◽  
Author(s):  
Marco Bortolini ◽  
Emilio Ferrari ◽  
Mauro Gamberi ◽  
Francesco Pilati ◽  
Maurizio Faccio
Keyword(s):  
System Design ◽  
Industry 4.0 ◽  
General Framework ◽  
Assembly System ◽  
Assembly System Design

scholarly journals Towards Blockchain Network Platform for IoT Data Integrity and Scalability

2021 ◽  
Author(s):  
◽  
Chung Yup Kim
Keyword(s):  
Industry 4.0 ◽  
Data Integrity ◽  
Transaction Processing ◽  
Consensus Algorithm ◽  
Central Authority ◽  
System Configuration ◽  
Integration Platform ◽  
Financial Domain ◽  
Network Platform ◽  
Conventional Models

<p>Decentralised technology backed by blockchain has gained popularity in recent years, as it secures autonomous ecosystems without the need for a central authority. The blockchain concept originated in the financial domain using cryptocurrency but has been applied to a variety of industries over the last few years. In the era of Industry 4.0, most enterprises leverage automation by using Internet of Things (IoT) technology. Despite the numerous applications of blockchain across industries, significant latency in the consensus algorithm in blockchain hinders its adoption among businesses using IoT technology. A number of studies have addressed the obstacles of transaction processing performance and system scalability, mostly based on a public blockchain. However, the approaches still involve centralised components and thus fail to fully utilise decentralisation. Here, a private blockchain-based IoT data integration platform is proposed to achieve data integrity and system scalability. Along with a lightweight IoT gateway, instead of any other additional middleware, the process and the system configuration are streamlined. By using Hyperledger Fabric, the design is validated, and the proposed architecture outperforms other conventional models in IoT data processing. Thus, decentralisation in IoT environments is achieved.</p>

Marktkopplung und Ablaufdeterminismus

2017 ◽  
Vol 47 (187) ◽  
pp. 213-228
Author(s):  
Gaus Jobst ◽  
Knop Christopher ◽  
Wandjo David
Keyword(s):  
Industry 4.0 ◽  
Ongoing Debate ◽  
Centralized Planning

Through the ongoing debate different positions support the hypothesis that Industry 4.0 evokes decentralization in everyday works. In this article we argue that the technological premises of Industry 4.0 lead to the contrary: centralized planning ensuing from optimized adaptation to the imperatives of the market. We exemplify this pattern, that we named ‘determinated procedure’, through exemplary cases from different industrial branches. Furthermore, we argue that (indeed) existing decentral moments neither amount to structural decentralization nor to humanizing and empowering concessions to employees, but rather primarily serve to their integration into the enterprise and mobilization of their production intelligence.

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