The Modeling and Using Strategy for the Digital Twin in Process Planning

Zhao, Peng; Liu, Jinfeng; Jing, Xuwen; Tang, Mingming; Sheng, Sushan; Zhou, Honggen; Liu, Xiaojun

doi:10.1109/access.2020.2974241

Cited by 44 publications

(10 citation statements)

References 40 publications

(34 reference statements)

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“…Design some mathematical optimization algorithms, e.g., branch and bound method, dynamic programming method. The collaborative processing of complex information can be considered in disassembly line balancing problems, e.g., disassembly workshop scheduling incorporating digital twin technology [55]. In addition, better algorithms need to be designed to handle fuzzy and complex optimization problems.…”

Section: Discussionmentioning

confidence: 99%

Multiobjective Ecological Strategy Optimization for Two-Stage Disassembly Line Balancing With Constrained-Resource

2020

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Effective disassembly of obsolete products is critical for remanufacturing, recycling and recycling. However, existing disassembly studies have few or no resource constraints, such as limited numbers of disassembly operators and tools. Two-stage disassembly model is used to improve the flexibility to adapt to remanufacturing market demand. Based on existing references, this paper establishes a multiobjective two-stage disassembly model based on two-stage data envelopment analysis (two-stage DEA). The resource-constructed two-stage DEA model in this paper fully considers the dynamic configuration information of the output factors in each stage. To avoid the problem where the overall efficiency is optimal, the research constructs a resource constrained efficiency two-stage disassembly model. First, with the goal of minimum disassembly time, economy, energy consumption and environment, this study proposes eNSGA-II. By using mixed mutation and ecological evolution strategies, a well-distributed noninferior solution set is obtained. Second, the group of 16 disassembly schemes is used as decision-making units (DMUs) of the two-stage DEA. A comparison with Chen's model rankings shows that the model in this paper performs better. DMU 6 has the highest efficiency ranking, which is the best disassembly solution. Finally, the effectiveness of the proposed algorithm is verified by examples. Compared with NSGA-II and SPEA-II, eNSGA-II shows better performance and effectiveness. INDEX TERMS Disassembly, eNSGA-II, remanufacturing, resource constrained, two-stage DEA.

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Section: Discussionmentioning

confidence: 99%

Multiobjective Ecological Strategy Optimization for Two-Stage Disassembly Line Balancing With Constrained-Resource

2020

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“…This procedure in the context of a digital twin is continuous, so there is no meaning in defining a specific scenario or the duration of a simulation. All the above mentioned certify why process models, through the advanced capabilities they acquire in the context of digital twins, become a critical factor and a key trend in the way of the realisation of intelligent manufacturing [34].…”

Section: Process Modelling and Simulation Within The Concept Of Digital Twinsmentioning

confidence: 99%

A Discrete Process Modelling and Simulation Methodology for Industrial Systems within the Concept of Digital Twins

2022

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A generic well-defined methodology for the construction and operation of dynamic process models of discrete industrial systems following a number of well-defined steps is introduced. The sequence of steps for the application of the method as well as the necessary inputs, conditions, constraints and the results obtained are defined. The proposed methodology covers the classical offline modelling and simulation applications as well as their online counterpart, which use the physical system in the context of digital twins, with extensive data exchange and interaction with sensors, actuators and tools from other scientific fields as analytics and optimisation. The implemented process models can be used for what-if analysis, comparative evaluation of alternative scenarios and for the calculation of key performance indicators describing the behaviour of the physical systems under given conditions as well as for online monitoring, management and adjustment of the physical industrial system operations with respect to given rules and targets. An application of the proposed methodology in a discrete industrial system is presented, and interesting conclusions arise and are discussed. Finally, the open issues, limitations and future extensions of the research are considered.

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“…For data collection, according to Zhao et al [10], the acquisition and management process of real-time data is divided into four steps: (1) Identifying static information by using RFID tags and bar codes. (2) Obtain dynamic information based on multiintelligent sensors and monitoring system.…”

Section: Digital Twins' Application In the Machining Process: An Over...mentioning

confidence: 99%

Towards the Implementation of the Digital Twin in Machining Process: Opportunities and Challenges

Gaha

Durupt

Eynard

2022

Advances in Transdisciplinary Engineering

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The use of Digital Twin (DT) is adopted by manufacturers and have positive effects on the product manufacturing process. The use of Digital Twin (DT) is adopted by manufacturers and have positive effects on the product manufacturing process. The aim of this paper is to present opportunities and challenges of the application of DT concept in machining process extracted from a literature review conducted on the use of DT on CNC machining process. Hence, firstly, we review related studies based on existing DT orientations and usages for machining process. Secondly, a discussion about possible DT functionalities and opportunities is conducted, this allows to present a clear vision on gaps needed to be studied to enrich and propose a DT model for machining process. Finally, a conclusion and perspectives for future are presented.

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The Modeling and Using Strategy for the Digital Twin in Process Planning

Cited by 44 publications

References 40 publications

Multiobjective Ecological Strategy Optimization for Two-Stage Disassembly Line Balancing With Constrained-Resource

Multiobjective Ecological Strategy Optimization for Two-Stage Disassembly Line Balancing With Constrained-Resource

A Discrete Process Modelling and Simulation Methodology for Industrial Systems within the Concept of Digital Twins

Towards the Implementation of the Digital Twin in Machining Process: Opportunities and Challenges

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