About
133
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Introduction
Research direction: Industrial Engineering, remanufacturing, sustainable supply chain. Currently focused on Production resource efficiency and environment optimized production system
Current institution
Suzhou University (PRC)
Current position
- Professor
Publications
Publications (133)
Rescheduling is an important means of production and operation management to realise efficient production in dynamic environments. In smart shop floors, diverse manufacturing resources, flexible product processes, and complex information flows bring new challenges to real-time rescheduling. To address the problem of real-time rescheduling decision-...
Remanufacturing industry is an important measure to promote resource recycling and sustainable development under Carbon neutralization. To achieve this, addressing the shortcomings of previous uniform subsidies for such products, quality grading unequal subsidy method of the government is proposed. This means providing different subsidy amounts for...
In order to improve the wear resistance of copper and enhance the surface properties of copper parts, this article uses BN nanoparticles as a reinforcing phase and the laser remelting method to prepare a Cu/BN remelted layer on the copper surface. The surface morphology, crystal structure, microhardness, and wear resistance of the samples were test...
The deep integration and innovative development of the logistics and manufacturing industries (LMDIIs) are crucial for reducing costs, increasing efficiency, and advancing manufacturing. To assess the development level and performance of the LMDIIs, we construct an evaluation index system, calculate the weights using the CRITIC method, and measure...
In order to improve the surface quality of copper after laser remelting, this article took laser frequency, pulse width, and energy density as the research objects and used scanning electron microscopy (SEM), a laser confocal three-dimensional measurement instrument, hardness tester, and friction and wear measurement instrument to study the surface...
Supercapacitors (SCs), renowned for their exceptional power density and robust cycle life, are fast becoming indispensable in the realm of energy storage. Yet, their limited operational temperature range presents a significant barrier to their employment in extreme environments. This review offers a comprehensive exploration of recent strides made...
Sustainable manufacturing is crucial to achieving carbon neutrality targets. However, research on the sustainability of manufacturing systems is limited, and high consumption, low efficiency, and high emissions have resulted in high resource consumption and rapid environmental degradation. Therefore, it is of great importance to establish an evalua...
The explosive growth of the logistics industry has led to an increase in energy consumption and carbon emissions. To reduce emissions and increase the efficiency of the logistics industry, we studied the driving factors and decoupling effects of carbon emissions of logistics industry (LICE). First, an energy coefficient method is used to calculate...
Visual-based defect detection is a crucial but challenging task in industrial quality control. Most mainstream methods rely on large amounts of existing or related domain data as auxiliary information. However, in actual industrial production, there are often multi-batch, low-volume manufacturing scenarios with rapidly changing task demands, making...
To accelerate achieving carbon neutrality, the promotion of low-carbon development in the manufacturing industry has been facilitated by the government’s implementation of policies such as carbon taxation and carbon emissions trading. These measures have been put in place to reduce carbon emissions and enhance sustainability within the manufacturin...
In order to enhance the wear resistance of copper contacts in high-voltage switches and improve the abnormal discharge phenomenon caused by wear gaps, laser remelting technology was used to strengthen the surface of copper contacts. The surface morphology, microhardness, and wear resistance of the remelted samples were tested and characterized usin...
Visual defect detection, which is pivotal in industrial quality control, often requires extensive datasets for training deep-learning models. However, in industrial environments, the presence of multiple production batches, small lot sizes, and rapidly evolving task requirements make it challenging to acquire sufficient and diverse defect data. To...
In order to improve the wear resistance of copper contacts in high-voltage switches and improve the abnormal discharge phenomenon caused by wear gaps, laser remelting technology was used to strengthen the surface of copper contacts. The surface morphology, microhardness, and wear resistance of the remelted samples were tested and characterized usin...
Remanufacturing businesses have difficulty in competing and expanding due to the unpredictable quality and performance of remanufactured products. It has turned into a problem area and a bottleneck for the growth of the remanufacturing sector. The control and management of remanufactured assembly quality (RAQ) is considered one of the key factors a...
The low-carbon transformation of manufacturing enterprises is considered to be imperative to achieve carbon neutrality. Therefore, we propose a data-driven strategy to achieve a low-carbon transformation of manufacturing enterprises from an eco-efficiency perspective. Following the collection of input (energy, materials, equipment, R&D, and service...
Selective laser melting (SLM) exhibits excellent manufacturing accuracy and forming ability. However, the laser beam layering process is characterized by high specific energy consumption, long manufacturing cycle, and low energy efficiency. The use of supports increases the SLM building quality and eliminates defects caused by thermal and residual...
Remanufacturing is one of the most effective ways to deal with the current global waste crisis; moreover, it can improve the production and resource efficiency of remanufacturing, which is an urgent need for global sustainable development. Therefore, in this study, a data-driven intelligent control system is proposed to improve the production and r...
The service stability of industrial robots (IRs) is considered the basis for ensuring intelligent manufacturing operations. Knowledge-based work plays a central role in the practical application of intelligent manufacturing because the staff have professional knowledge of production and manufacturing after learning, undergoing training, and thinkin...
The integration of information technologies with the industry has marked the beginning of the Fourth Industrial Revolution and has promoted the development of industrial engineering [...]
Multi-scale defect features, blurred edges and inability to locate geometric features have been the three key factors limiting the detection of surface defects on quality control system in the industrial manufacturing process. In this study, a method based on the fusion of multi-scale features and pixel-level semantic segmentation is proposed for t...
Introduction
Marine ecological security assessments are considered as a basis for coordinating marine economic development and ecological protection.
Methods
We propose an assessment method based on the emergy ecological footprint which first measures the emergy of the natural and economic elements of the marine ecosystem. Considering the role of...
Remanufacturing is a significant process for achieving carbon neutrality. However, the existing literature shows that consumer concerns regarding the quality of remanufactured products restrict the large-scale development of the remanufacturing industry. Studies on the quantitative evaluation of the quality of remanufactured products are limited. T...
Regional innovation capability is considered an important driving force for the sustainable and high-quality development of regional economy. Therefore, data-driven evaluation method of regional innovation capability is proposed. First, the article collects regional innovation development statistics; second, min-max standardization method is used f...
Remanufacturing machining paths affect the remanufacturing cost, quality of remanufactured parts, and environment. Therefore, optimizing remanufacturing machining paths is an important problem in remanufacturing systems. However, the methods used in previous studies had a certain degree of subjectivity. Hence, this study proposes a novel carbon foo...
This study aims to analyze the impact of government subsidy policies on the development of remanufacturing enterprises and product quality in the context of carbon peaking and carbon neutrality, to promote the sustainable development of the remanufacturing industry. It establishes a comparative game model for two cases of remanufacturing enterprise...
Evaluating the degree of coordination among regional carbon emission systems is key to achieving an earlier carbon peak and carbon neutrality. However, quantifying the co-evolution of carbon emissions among regions is challenging. Therefore, we propose a data-driven method for evaluating the synergetic development of the regional carbon emission co...
The sustainability of industrial production systems is considered to be the key to promoting green transformation and upgrading of manufacturing industry. This study proposes an emergy-based method for the measurement and evaluation of the sustainability of industrial production systems. The method uses emergy as a measure, expresses all types of i...
This study aims to evaluate the relationship between the agriculture economy environment, and society from the perspective of system theory and then put forward targeted suggestions for sustainable development of Anhui's agriculture in China. Based on the collection of relevant data and the objective weighting of indicators, the entropy weight meth...
This study aims to improve regional agricultural production efficiency and promote sustainable agricultural development by presenting a data-driven evaluation method for regional agricultural production efficiency. Based on data collection and processing of regional agricultural input-output factors in Anhui Province, China, from 2014 to 2019, a da...
As industry is the world’s leading carbon emitter, promoting industrial carbon reduction is of key significance to carbon peak and carbon neutrality. Using a data-driven method, based on the collection and processing of relevant data from statistical yearbooks and others, we analyze the efficiency and amount of carbon emission of each industrial se...
In order to meet the dynamic mental health needs of college students, it is important to promote quality mental health services and to improve the development view of college students’ mental health. This paper uses a knowledge management method to construct college students’ developmental mental health service model. The model is informed by knowl...
Improving industrial ecological efficiency is important in promoting the industry’s sustainable development. However, the economy, resources, the environment, and other factors should be considered. This paper proposes a data-driven evaluation and promotion method for improving industrial ecological efficiency. Based on industrial input and output...
To promote coupling coordination development for regional innovation environment-resource-output-benefit (EROB) composite systems, we propose a data-driven integrated model method for measurement, evaluation, and identification. First, we construct an evaluation indicator system of coupling coordination development of regional innovation EROB compo...
Selective laser melting (SLM) can form complex and precise metal parts simultaneously and is widely used in medical and aerospace fields. The support structure plays an important role in SLM process, including supporting the overhanging structure, dissipating heat, and minimizing geometric deformation caused by internal stress. However, a non-optim...
With the increasing severity of the global energy crisis and environmental pollution, there is an urgent need to change the economic development model driven by certain factors and the investment scale and pursue science- and technology-driven innovative development. This study aims to improve the efficiency of scientific and technological innovati...
To analyze the impact of government carbon tax and subsidy policies on the manufac turing industry in the context of carbon peaking and carbon neutrality. This paper constructs a game model based on two government policies: a “carbon tax” policy for the original product and a “subsidy” policy for the remanufactured product, taking the original prod...
Growing international trade requires more flexible warehouse management to match it. In order to achieve more effective warehouse management efficiency, a shelf status–detection method based on deep learning is proposed. Firstly, the image acquisition of a multi-level shelf containing multiple bays is performed under different time and lighting con...
In this study, a data-driven way is proposed to evaluate and optimize the sustainable development of the logistics industry (LI). Based on a comprehensive consideration of economic, societal, and environmental factors, an evaluation index system was established for the sustainable development of the logistics industry (LISD). Logistics industry-rel...
This study aims to effectively reduce carbon emissions by selecting the low-carbon technology service emission reduction modes. This paper constructs a revenue-sharing contract model based on game theory. The purpose of this paper is to analyze the choice of carbon emission reduction strategies for carbon emission-dependent manufacturers and low-ca...
This study aims to promote the high-quality development of regional agriculture. This study proposes a data-driven method for regional agricultural analysis and evaluation. Based on the data collection and processing related to regional agricultural development, the location entropy index was used to analyze the industrial agglomeration level, and...
Remanufactured mechanical products with high-added value are generally claimed to gain environmental benefits. These claims were made based on different products and assessment methodologies. The variability of life cycle assessment (LCA) results precludes a meaningful comparison across products and studies. This paper aims to critically and system...
In order to improve the quality of remanufacturing assembly with uncertainty for the sustainability of remanufacturing industry, an error propagation model of the remanufacturing assembly process and its optimal control method are established. First, the state space model of error propagation is established by taking the work-in-process parameter e...
With the rapid development of logistics park, how to evaluate and optimize the ecological efficiency of logistics park to achieve its sustainable development has become a concern of academia. In order to achieve this goal, this paper puts forward a method based on emergy, which processes the data in a unified dimension. By constructing the ecologic...
Improving resource efficiency and reducing waste discharge are the inevitable trends of the development of sustainable machining system. Therefore, a data-driven sustainability evaluation method of machining system is proposed. The input (energy, materials, equipment, R&D, and services) and output (wastes and products) data of machining system are...
In this study, we propose a data-driven remanufacturability evaluation method for waste parts with uncertainty. First, the remanufacturing cost and remanufacturing profit functions based on the Taguchi quality concept are established. Subsequently, the back propagation neural network is applied for parameter estimation to deal with the multivariabl...
With growing concerns about energy and environmental issues, much research attention has been focused on manufacturing activities that consume significant amounts of energy and influence the environment. In the manufacturing field, additive manufacturing (AM) is a new production technology that can process complex parts and has high material utiliz...
The flue gas desulfurization process in coal-fired power plants is energy and resource-intensive but the eco-efficiency of this process has scarcely been considered. Given the fluctuating unit load and complex desulfurization mechanism, optimizing the desulfurization system based on the traditional mechanistic model poses a great challenge. In this...
The agroecological economic system is the basic system on which human beings depend for survival. In order to better evaluate the operation status of a regional agroecological economic system and deepen the cognition of the input and output of the regional agroecological economic system from the angle of emergy, the evaluation method of sustainable...
Additive manufacturing (AM) technologies, such as direct laser and selective laser melting (SLM) manufacturing, allow the fabrication of functional products with high added value. This paper proposes an emergy-based method for evaluating the environmental impact and economic cost of the SLM manufacturing process while considering the environmental...
The stamping industry is critical in the automotive and aerospace industries, and the environmental impacts and sustainability of stamping systems have attracted considerable attention. To analyze the environmental impact and sustainability of stamping systems quantitatively, this paper presents an emergy-based evaluation method considering all the...
Remanufacturing has been considered to be one of the most effective ways to deal with sustainable manufacturing. The integration of intelligent technology and remanufacturing assembly system is a necessary way for the development of remanufacturing industry. This paper proposes an intelligent control system for improving the quality and production...
Improving resource efficiency and reducing waste discharge are the inevitable trend of the development of sustainable machining system. Therefore, a data-driven sustainability evaluation method of machining system is proposed. The input (energy, materials, equipment, R&D and services), and output (wastes and products) data of machining system are c...
Wastewater pollution has been considered as a prominent bottleneck restricting global sustainable development. China is one of the largest discharges and eco-environmental damages of wastewater in the world. Through analyzing wastewater discharge data using emergy method in China from 2011 to 2017, the wastewater eco-environmental damage of 31 prov...
The rapid development of the economy and the change in transaction mode has promoted the development of logistics parks. How to evaluate and optimize the ecological efficiency of logistics park to achieve its sustainable development has been considered a challenge. Therefore, this paper puts forward an emergy based ecological efficiency evaluation...
Energy modeling and visualization of machining have been recognized as effective and powerful ways to explore energy-saving potential and to improve energy efficiency. However, energy modeling and visualization of the drilling process have not been investigated adequately. To address this challenge, sub-power models-based energy modeling and multi-...
To improve the accuracy and efficiency of path planning for the mechanical assembly process of products, an on-line path planning method for mechanical assembly process robots based on visual field space is proposed in this paper. Firstly, to predict and describe the assembly process, the concept of field-of-view space (FOVS) is proposed. Secondly,...
In view of the coordination of economy, society, and environment in the process of the rapid development of the regional economy, this study proposes the evaluation method of sustainable development of a regional economy on the basis of emergy. The study also constructed an evaluation index system of sustainable development of regional ecological e...
To improve the ecological efficiency (eco-efficiency) of industrial production and promote its sustainable development, we present a data-driven method for evaluating and optimizing the eco-efficiency of industrial production system. The data of industrial production system are collected and processed in a unified dimension from the perspective of...
Due to environmental and social issues caused by unauthorized processing of recyclables, waste merchants , key informal collectors with the doorstep collection in China have been integrated into formal collectors. However, how to achieve effective integration is still underexamined. This study puts forward two strategies for integrating a waste mer...
Additive manufacturing (AM) has significant advantages over conventional manufacturing technologies, including freedom of design, mass customization, and the ability to produce complex structures. Because reducing manufacturing energy is an essential challenge for industrial sustainability and national economics, the trend toward AM motivates us to...
Remanufacturing has been considered to be one of the most effective ways to deal with sustainable manufacturing. This paper proposes a data-driven intelligent control system for improving the production and resource efficiency of the remanufacturing assembly systems. First, an optimization model of the reassembly scheme is established for minimizin...
The shortage of resources and environmental pollution have become the social issues of world concern, they have seriously affected the sustainable development. Remanufacturing has been recognized as an effective technology helps to improve the energy and materials utilization, and reduce environmental emissions with a low cost. we performed a compr...
At present, increased attention has been given to energy efficiency promotion and energy saving of manufacturing equipment and systems. Hydraulic system is widely used in engineering machinery industries; however, the high energy consumption and low energy efficiency of which limit its development and application. On the basis of previous research...
The energy benchmark has been recognised as an effective analytical methodology and management tool that help to improve the efficiency and performance of energy utilisation. With a wide distribution and large amount of energy consumption at a low efficiency, machining systems have considerable energy-saving potential. This paper proposes a task-or...
The uncertainty of worn parts is a challenge for the remanufacturing process. Therefore, an integrated optimization decision method for remanufacturing process based on conditional evidence theory under uncertainty is proposed. On the basis of production history data of remanufacturing enterprises, prior information of the remanufacturing process i...
Remanufacturing has been regarded as a key technology for the sustainable development of the world economy. However, the quality of remanufactured products is difficult to meet the needs of customers, which has become a bottleneck restricting the development of remanufacturing industry. Therefore, remanufacturing assembly management and technology...
Optimized control of remanufacturing assembly process in a dynamic and uncertain environment has been recognised as a big challenge for remanufacturer. Therefore, an integrated optimization control method for reassembly system is proposed. The state space model of the remanufacturing assembly process and the transfer matrix of reassembly are constr...
Wei Cai Conghu Liu Shun Jia- [...]
Xin Ma
Outsourcing has become an effective production and management measure to increase the resource utilization and production efficiency. However, performing a sustainability evaluation of the outsourcing faces some difficulties in constructing a unified dimensional evaluation model for integration of the quality, time, logistics cost and resources con...
An energy-saving and environment-friendly manufacturing process is essential to address the large energy and resource consumption in manufacturing. Sheet metal forming is an important manufacturing process and is widely used in automobile and aviation industries. Sheet metal forming is also an energy-intensive process in manufacturing and consumes...
Anthropogenic carbon emission gives rise to a situation where
global warming is becoming serious. China is paying for reducing carbon
emissions. The concept of carbon curse suggests that countries rich in
fossil fuels tend to be closely linked to high carbon emissions, but this
is not absolute, which reminds policymakers that the policies implement...
https://www.mdpi.com/journal/processes/special_issues/green_production_process
Special Issue Information
Dear Colleagues,
Numerous pathways and narratives have been developed to shed light on how society could transform its production systems in line with the aspirational targets of the Paris Agreement and Sustainable Development Goals. Green tec...
Energy efficiency improvement and environmental impact reduction are emerging issues in the manufacturing industry. Aside from cutting, metal forming is also an important process in manufacturing. Metal forming is energy intensive because of the low energy efficiency of the used metal forming press. Although many literature reviews focused on the e...
This paper presents a sensor deployment strategy based on a Bayesian network (BN) and information entropy to diagnose multi-station assembly processes. A station-indexed state space model is employed to analyze the influence of fixture faults and part reorientation faults on the process fault. Based on the matrix transformation of the state space m...
The energy-saving and emission reduction (ESER) strategy is a crucial measure for promoting the sustainability of manufacturing industry in green transition. Analyzing current practices and limitations of the ESER in the manufacturing industry, this paper proposes a new concept entitled lean energy-saving and emission-reduction (LESER) and an appro...
In order to quantitatively evaluate and improve the sustainability of machining systems, this paper presents an emergy (the amount of energy consumed in direct and indirect transformations to make a product or service) based sustainability evaluation and improvement method for machining systems, contributing to the improvement of energy efficiency,...
The management capability of workshop production scheduling has been recognized as one of the important factors for the resource efficiency, delivery time and customer satisfaction of manufacturing enterprises. Therefore, a method for evaluating the management capability of production scheduling is proposed to optimize the production management. Th...
In order to study the effects of pulse parameters on jet electrodeposition, Ni–Co–BN (h) nanocomposite coatings were prepared on the surface of steel C1045. The samples were analyzed and characterized by scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), X-ray diffraction (XRD), laser scanning confocal microscopy (LSCM), micr...
In this study, a hydrophobic structure was fabricated via electrochemical machining to improve the
corrosion resistance of Ni–Co alloy coatings. The surface morphology, roughness, and wettability of the Ni–Co alloy coatings were examined via scanning electron microscopy, laser scanning
confocal microscopy, and optical surface contact angle measurem...
Purpose – The uncertainty of remanufacturing parts is the key factor affecting the quality of remanufactured products. Therefore, the purpose of this paper is to measure the uncertainty of the remanufactured parts, and study the coupling mechanism of reassembly quality.
Design/methodology/approach – Firstly, uncertainty of remanufactured parts is...