Pingyu Jiang

• Ph.D
• Professor at Xi'an Jiaotong University

As producing and outsourcing services (POS) are appearing to be increasingly explosive nowadays in manufacturing industry, an efficient technology is needed immediately to manage the POS relationships, create manufacturing orders and integrate the distributed social manufacturing resources. Therefore, a web-based mobile producing and outsourcing se...

Parts machining outsourcing (PMO) can be regarded as a strategic weapon to increase product quality and productivity as well as cost cutting in many manufacturing enterprises. However, making an outsourcing decision based on accumulated experience is neither effective nor scientific due to subjective judgement and lack of systematic analysis. There...

With the enhancement of people's environmental awareness, low-carbon and energy-efficiency in manufacturing industry has been drawing much attention due to the huge consumption of raw materials and energy during machining processes. And it is a complex problem to evaluate part machining processes from the view point of carbon emission because there...

Because of the energy shortage and energy price rise, energy efficiency becomes a worldwide hot spot problem. It is not only a problem about cost reduction, but also a great contribute to the environmental protection. However, the energy efficiency was always ignored in the past decades. In order to gain more benefit and become more competitive in...

Digital twin (DT) is a useful tool for the remote monitoring, analyzing, controlling, etc. of industrial equipment in a harsh working environment unfriendly to human workers. Although much research has been devoted to DT modeling methods, there are still limitations. For example, (1) existing DT modeling methods are usually focused on specific type...

With the rapid development of 3D printing, the demand for personalized and customized production on the manufacturing line is steadily increasing. Efficient merging of printing workpieces can significantly enhance the processing efficiency of the production line. Addressing the challenge, a Large Language Model (LLM)-driven method is established in...

Digital manufacturing involves complex and multidimensional interactions among production line resources, resulting in massive multi-modal knowledge. The knowledge often lacks correlation and contextual readability, leading to data silos. The rapid development of knowledge graphs (KGs) has rekindled interest in manufacturing knowledge engineering....

Additive manufacturing (AM), particularly the fused filament fabrication (FFF) process, enables the production of personalized products with unique features. However, the FFF process is prone to issues such as nozzle clogging, which can degrade print quality or cause print failure. Data-driven approaches present viable solutions for real-time monit...

An incubator is a kind of public or private organization that can provide multidimensional support to startup companies in exchange for profit or stake sharing. To date, huge numbers of incubators have been established all over the world, and many successful companies have been incubated by them. However, most of the existing incubators are more fo...

With the development of Intelligent Machine as a Service (IMaaS), devices increasingly require personalization, intelligence, and service orientation, making resource modeling a key challenge. Knowledge graph (KG) technology, known for unifying heterogeneous data, has become an essential tool for modeling and analyzing manufacturing resources. On t...

The advancement of Information and Communication Technology has catalyzed the emergence of a new generation of manufacturing paradigms demanding increasingly “smart” equipment. Despite this, existing equipment system exhibits limitations in terms of flexibility, user interaction, and cost-effectiveness. To address these challenges and foster person...

Social manufacturing (SocialMfg), as an emerging paradigm, leverages socialized manufacturing resource nodes (SMRNs) grouped into manufacturing communities (MCs) through cyber-physical-social connections to collectively create, produce, and share goods and services. Despite its nascent stage, the potential impact of SocialMfg on mass personalizatio...

Smart and connected industrial products (SCIPs), characterized by their capabilities of self-monitoring, environment awareness, machine–machine/machine–human communication and collaboration, intelligent decision-making, etc., have become the fundamental elements for cyber-physical systems, digital twin, industrial internet of things, etc. Configuri...

The emergence of 3D printing technology has imbued the mass customization production model with novel implications. Concurrently, investigations into social manufacturing (SocialM) and collective intelligence present a fresh challenge for the 3D printing industry in their pursuit of realizing customized mass production. However, there is still a la...

Distinct from the conventional manufacturing paradigm, the functioning of the Social Manufacturing (SocialM) model relies on a vast and dispersed array of social manufacturing resources. SocialM communities/groups emerge autonomously through business interactions, resource self-organization, and production information sharing, all driven by product...

Event knowledge graph (EKG) is a method of representing real-world entities, events, their attributes, and the relations between them in a graph structure. The EKG has been applied in manufacturing industry to empower intelligence manufacturing. But there are limitations of generic EKG in addressing manufacturing issues. Because in the manufacturin...

The Industrial Product Service System (IPS2) is considered a sustainable and efficient business model, which has been gradually popularized in manufacturing fields since it can reduce costs and satisfy customization. However, a comprehensive design method for IPS2 is absent, particularly in terms of requirement perception, resource allocation, and...

Paste kneading is a vital process of prebaked carbon anode production, and the quality of the paste has a great impact on the quality of the final product. However, it is difficult to inspect the paste quality in line. Because the inspection of the paste quality in the laboratory is not real-time, the paste has already entered the next process afte...

Additive Manufacturing (AM) is gaining acceptance as a strategic manufacturing technique and technology for allowing new product development. Due to the lack of knowledge, design for additive manufacturing (DFAM) is now a major challenge in utilizing AM's product innovation and manufacturing capabilities. The AM sector will benefit from developing...

The manufacturing industry is facing the challenge of meeting the growing demand for personalized products, which requires enhanced agility, flexibility, reconfigurability, and sustainability on the shop floor. To tackle these requirements, one possible solution is to foster collective intelligence (CI) by sharing data and knowledge among human ope...

Prebaked carbon anodes are a critical consumable in the aluminum electrolysis industry. Prebaked carbon anode paste is the intermediate product of the prebaked carbon anode, and its quality significantly impacts the prebaked carbon anode. Therefore, inspecting the quality of the prebaked carbon anode paste is essential. Currently, the quality inspe...

Remote monitoring and maintenance are important for improving the performance of production systems. However, existing studies on this topic usually focus on the monitoring and maintenance of the working conditions of the equipment and pay relatively less attention to the processing craft and processing quality. In addition, as far as we know, ther...

Data-driven intelligent computational design (DICD) is a research hotspot that emerged under fast-developing artificial intelligence. It emphasizes utilizing deep learning algorithms to extract and represent the design features hidden in historical or fabricated design process data and then learn the combination and mapping patterns of these design...

The fast development of the industrial internet is boosting the evolution of the manufacturing industry to a new stage of socialization, servitization, universal interaction and connection, and platformization [...]

Retrieving the similar solutions from the historical case base for new design requirements is the first step in mechanical part redesign under the context of case-based reasoning. However, the manual retrieving method has the problem of low efficiency when the case base is large. Additionally, it is difficult for simple reasoning algorithms (e.g.,...

Data-driven intelligent computational design (DICD) is a research hotspot emerged under the context of fast-developing artificial intelligence. It emphasizes on utilizing deep learning algorithms to extract and represent the design features hidden in historical or fabricated design process data, and then learn the combination and mapping patterns o...

Monitoring and maintaining equipment and production lines ensure stable production by detecting and resolving abnormalities immediately. In the Industrial Internet, operational technology and advanced information technology are fused to improve the digitalization and intelligence of monitoring and maintenance. This paper provides a comprehensive su...

Designers face new challenges in the conceptual design phase because of the wide-ranging industrial application of additive manufacturing (AM). Structure simplification and function integration should be investigated during the conceptual design phase to embrace the design freedom that design for additive manufacturing (DFAM) offers. In this regard...

Additive manufacturing (AM) systems are currently evolving into network-based models, where the distributed manufacturing resources from multiple enterprises are coordinated to complete product orders. The layer-by-layer approach of AM technologies gives manufacturers unprecedented freedom to create complex parts tailored to customer needs, but thi...

The rapid development of Additive Manufacturing (AM) has been conspicuous and appealing towards manufacturing end-use products and components over the past decade. The continual advancement of AM has brought many advantages such as personalization and customization, reduction of material waste, cutting off the existence of special tooling during fa...

A social computational design method is established, aiming at taking advantages of the fast-developing artificial intelligence technologies for intelligent product design. Supported with multi-agent system, shape grammar, Generative adversarial network, Bayesian network, Transformer, etc., the method is able to define the design solution space, pr...

Solving facility layout problems aims at identifying the optimal plan for placing a number of facilities or departments on a shop floor considering multiple optimisation criteria and constraints. Recently, the unequal area facility layout problem (UA-FLP) has drawn more attention as it is closer to real industrial scenarios. To address this problem...

The machining processes on the advanced machining workshop floor are becoming more sophisticated with the interdependent intrinsic processes, generation of ever-increasing in-process data and machining domain knowledge. To manage and utilize those above effectively, an industrial dataspace for machining workshop (IDMW) is presented with a three-lay...

In Industry 4.0 era, the traditional equipment is gradually upgrading to digital and intelligence. The monitoring and maintenance of equipment are significant application areas. So, we propose an Industry 4.0 platform for equipment monitoring and maintaining, which can monitor the process, working condition, and quality of product, manage and contr...

Anode carbon block grinding & polishing robot is a newly developed equipment urgently required in carbon industry. However, currently there are not specific monitoring and maintenance strategies specifically for this newly developed equipment, and it limits the reliability of the robot equipment in the complicated and server working condition of ca...

The deep integration of the new generation of information technology and manufacturing is driving manufacturing to socialization, service-oriented, interconnected integration, and platform-oriented development. The industrial internet-oriented social manufacturing model fits the current manufacturing industry’s vision of intelligent transformation...

Past, present and future, to realize the aim of product CTQS (i.e., lower cost, faster time to market, higher quality and better service) with manufacturing intelligence, few manufacturers have no longer engaged in product related production decision support problem (P-DSP). However, P-DSP solving (P-DSPS) is a multi-criteria decision-making proble...

Applied to search, question answering, and semantic web of close-or-open domain, knowledge graph (KG) is known for its incompleteness subject to the rapid knowledge growing pace. Inspired by the agricultural grafting technology to fruit variety, this paper proposes a heuristic knowledge grafting strategy (HGS) for manufacturing knowledge graph (MKG...

Social manufacturing is characterized by its capability of utilizing socialized manufacturing resources to achieve value adding. Recently, a new type of social manufacturing pattern emerges and shows potential for core factories to improve their limited manufacturing capabilities by utilizing the resources from outside socialized manufacturing reso...

Cutting tool wear is a critical factor that affects product quality in manufacturing processes and measuring the flank wear area is the most common method to assess the condition of the tool. Nowadays, the direct way based on image processing has been developed due to its high information content and does not rely on expensive subsidiary measuremen...

Socialized and collective intelligence oriented product design (SCPD) is a new kind of design pattern emerged under the context of advanced internet technologies and sharing economic trend. It is usually carried out by large numbers of socialized and self-driven participators from different social backgrounds in an open, sharing, self-organized, di...

Shared factory (SharedF), succeed from the sharing economy, is defined as a kind of fenceless plant which enables high-efficiency self-organization and sustainability of the shared manufacturing resources. This paper proposes a brand-new Enhanced Self-organizing Agent (ESA) in the context of sustainable SharedF, which helps the shared manufacturing...

The continuous fast-changing of production requirements and the development of advanced information technology have promoted the development of the production system in a more knowledge-intensive, resources-decentralized, and autonomous collaborative manner. In order to provide guidelines for the smart transformation of the production shop floor, t...

Accurate quantitation of products' Carbon Footprint (CF) is the key to enable sustainable manufacturing. Aiming to quantitate the CF in Discrete Manufacturing (DM), this paper addresses a novel Estimation Method for Quantitating CF (EM-QCF) supported by a new concept of energy dataspace. Clarifications and organizational logic of EM-QCF are given,...

Purpose Social manufacturing has emerged. It aims to integrate the manufacturing resources of micro- and small-scale manufacturing enterprises (MSMEs) and help MSMEs cope with the dynamic, service-oriented and personalized market demands. In social manufacturing, MSMEs cooperate with each other through manufacturing resource sharing. However, becau...

Socialized product design (SPD) mode, enabled by advanced internet technologies and sharing economic trends, has the capability of utilizing the design resources from large numbers of socialized designers (SDs) to carry out the design tasks that used to be participated by only the internal R&D staffs of companies. During SPD projects, different kin...

Under the tendency of mass individualization demands, social manufacturing has been proposed as a new paradigm. This paper proposes a contextual process configuration model for realizing the mass individualized manufacturing. The Social Internet of Things (SIoT) strategy is introduced to boost sociality and narrow down the contextual computing comp...

Sustainability is a pressing need, as well as an engineering challenge, in the modern world. Developing smart technologies is a critical way to ensure that future manufacturing systems are sustainable. Blockchain is a next-generation development of information technology for realizing sustainability in businesses and industries. Much research on bl...

Interpreting the mechanism of Machining Errors' Accumulation (MEA) is hard in Multistage Machining Processes (MMP). This paper addresses a novel three-dimensional graphical model named RFID-MEA for quantitating MEA inspired by RFID graphical deduction computing model. RFID-MEA aims at revealing the MEA's mechanism instead regarding the machining pr...

The rapid development new generation of information technologies facilitate the emergence of cyber-physical production system (CPPS) which could pave a way to exploring new smart manufacturing solutions. Digital twin (DT) is the technical core for establishing CPPS in the context of industry 4.0. Developing an easy-to-deploy and simple-to-use DT-ba...

In manufacturing industry, cross-enterprise resource sharing has emerged among micro-and-small-scale manufacturing enterprises (called social manufacturing nodes, SMNs) with similar manufacturing resources. In this context, social manufacturing is proposed to promote resource sharing among SMNs through order sharing in manufacturing communities (MC...

With the development of internet technology and sharing economic trend, a new kind of open, socialized, self-organized and collaborative product design mode (defined as community-based product design, CPD) has emerged and been successfully applied in the overall context of social manufacturing. However, due to the natural characteristics of CPD, th...

Manufacturing industries have been practicing additive manufacturing (AM) processes which can generate complex shapes with high degree of accuracy, close dimensional tolerance, and better surface finish. These processes involve the use of technology to improve product design by reducing the number of parts and assemblies with the relevant technolog...

Product manufacturing activities must be synchronous with social, scientific and technological developments, social manufacturing as a kind of next generation manufacturing paradigm combines the state-of-the-art technologies, such as Internet, cyber physical system (CPS) and internet of things. This paper is a typical position paper for elaborating...

Additive manufacturing (AM) is an emerging technology that opens up new possibilities for mass personalization and manufacturing of high added-value parts. However, in its current state, AM faces some challenges, such as part quality consistency or slow production speeds, which must be resolved in order to take full advantage of the capabilities pr...

Manufacturing factories and their resources are moving towards being networked, flat, flexible, and diversified in the context of social manufacturing. It is urgent to manage the increasingly complex and variable manufacturing processes effectively in such cross-factory production. This paper proposes a brand-new microservices-based Mini-MES (M²ES)...

Manufacturing knowledge (MK) is enjoying a “new golden age” in the academic domain, marked by vast reuse to support product-related production problems (PPs) solving decision making for manufacturing enterprises in industry sector. However, the practice of MK reuse and research is fragmented and insufficient, which cannot be mature to provide a sys...

The new-generation information technology (NGIT) is changing the technical management method of equipment production process, which is a powerful driving force to enable China to become a powerful equipment manufacturing country. This paper focuses on the technology management of NGIT-driven equipment production process, to characterize data, infor...

Manufacturing industry is heading towards socialization, interconnection and platformization. Motivated by the infiltration of sharing economy usage in manufacturing, this article addresses a new factory model – shared factory, and provides a theoretical architecture and some actual cases for manufacturing sharing. Concepts related to three kinds o...

The growth of personalized demands requires socialized resources to timely self-organize themselves with crowd intelligence for co-creating open architecture products. This social manufacturing paradigm drives an increased demand for makers to track the authenticity and quality of products. A new decentralized blockchain-driven model, named Makerch...

As an important part of industrialized society, manufacturing consumes a large amount of raw materials and energy, which motivates decision-makers to tackle this problem in different manners. Process planning is an important optimization method to realize the object, and energy consumption, carbon emission, or sustainability evaluation is the basis...

Under the consideration of massive energy consumption of machine tools, many approaches have been proposed, and state control method of machine tools has proved its effectiveness. In order to satisfy the demand of real-time production control, a deep learning methodology for energy-efficient control of CNC machine tools is proposed in RFID-enabled...

Manufacturing industry is heading towards socialization, interconnection, and platformization. Motivated by the infiltration of sharing economy usage in manufacturing, this paper addresses a new factory model -- shared factory -- and provides a theoretical architecture and some actual cases for manufacturing sharing. Concepts related to three kinds...

Social factory is served as the production node of social manufacturing communities/network to make manufacturing factories shift to the internet-based ones. The social factory aims to deal with fast-changing production requirements, sharing and competing of product orders, flexible resource configuration, ubiquitous interconnections, and real-time...

Since discrete manufacturing system (DMS) is a complicated dynamic network that comprises of processes, machines, and work in process, a coherent methodology for performance tracking and sustainable improvement at the system/network level is of great significance for manufacturers to respond rapidly in a mass customization paradigm. Fortunately, th...

In the traditional order completion time (OCT) prediction methods, some mutable and ideal production data (e.g., the arrival time of work in process (WIP), the planned processing time of all operations, and the expected waiting time per operation) are often used. Thus, the prediction time always deviates from the actual completion time dramatically...

This article proposes a new model for concurrent Lean-Kaizen based on the Lean production thinking. According to the concept and application scenarios of value stream mapping and DMAIC (Define, Measure, Analyze, Improve, and Control), we proposed an integrated VSM-DMAIC by adopting their advantages and avoiding their disadvantages. The VSM-DMAIC mo...

This study proposes an Enhanced DMAIC (eDMAIC) method which succeeds from Six Sigma tool for the machining processes in Multi-stage, Small-batch or One-of-a-kind (M/S/O) production. As a modification and extension of the popular Six Sigma DMAIC, eDMAIC method also consists of five phases, i.e., Define, Measure, Analyse, Improve and Control. Several...

The development of sharing economy and social media technology leads to a new design mode—community-based product design (CPD), including crowdsourcing design, open source design, and maker product design. CPD projects have the potential to use socialized design resource for creative product development because they are openly participated by a lar...

Quality controlling and process stability evaluating for one-of-a-kind production are the key aspects in improving the major technical equipment production capability. However, it is difficult to find the relationships between upstream machining errors and the machining process conditions and the machining quality due to the samples’ insufficiency....

Driven by the increasing product individualization and servitization in manufacturing industry, the massive demands of specialized manufacturing services promote more decentralized and socialized manufacturing resources (SMRs) to spring up. Many SMRs possessing the characteristics of decentralized, self-adaptive, and self-organization begin to clus...

In this chapter, open product design is introduced as a kind of service-driven product design methodology which meets closely with the needs of social manufacturing paradigm. It is quite different from traditional product design approach in many aspects, including idea creations, designers operations, design activities, design workflow, design resu...

Product-Service System (PSS) business model drives the outputs of the enterprises from products to product-services, in which they can get considerable and stable revenues and totally satisfy the requirements of their customers at the same time. However, due to the increasing service complexity and labor cost, an individual enterprise may not be ab...

Social manufacturing is a novel paradigm with a cyber-physical-social space that allows massive decentralized prosumers to co-create fully individualized and personalized products through improved sharing of processes, decision-making, workflow, and data with each other. It is a sustainable paradigm of mass individualization, by applying the crowds...

In the chapter, three industrial cases from Haier, RepRap open-source 3D printers manufacturer network, X-part manufacturers are analyzed, which deal with three types of preliminarily distributive implementations of using partially-centralized control, centerless-self-control or completely-centralized-control mechanisms for the social manufacturing...

Following up the analysis based on the connecting and communicating behaviors of human beings in business mentioned in chapter 1, we firstly give a series of definitions to outline the concepts of social manufacturing in this chapter, which describe a kind of new generation manufacturing paradigm. And then, the characteristics, basic architecture a...

The concept of social factory under the context of social manufacturing (SM) is presented in this chapter. Social factory can be considered as a production node which aims to finish either part machining or product assembling tasks. It collaborates with customers and suppliers in the inter-enterprise level, and allocates factory objects such as hum...

In this chapter, the roles of RFID, social sensors, and cyber-physical system (CPS) at both inter-enterprise level and intra-enterprise level under the context of social manufacturing are elaborated. Advanced IoT solutions, human-machine interaction technologies and manufacturing data analysis enable humans, machines, sensors, smart workpieces and...

This chapter elaborates the execution of social manufacturing, which is divided into three phases. Firstly, six key issues on shaping an order-driven manufacturing system or network are discussed, including extended cyber-physical system (CPS) enabled interconnection inside a social manufacturing node (SMN), social sensors enabled interactions amon...

Since manufacturing industry has become specialized, socialized, service-oriented and collaborative, mass individualized demands on products and manufacturing services have driven prosumers clustering into various communities. Lots of professional and socialized small and medium-sized prosumers spring up to provide product-service for satisfying cu...

The increasing of personalized demands requires manufacturing industry to own high flexibility and rapid response to market. In this situation, a social manufacturing network (SMN) is formed with distributed socialized manufacturing resources (SMRs) to provide more precise and professional service for customers. SMN is a decentralized network in wh...

Product-Service System (PSS) business model drives the outputs of the enterprises from products to product-services, in which they can get considerable and stable revenues and their customers can be satisfied totally. However, due to the increasing service complexity and labor cost, isolated enterprises may not be able to provide the life cycle PSS...

针对中心化管理平台不再适用一些产消者围绕新兴的开放式和开源式产品形成的自组织社群化制造网络的问题, 提出了基于区块链技术的制造社群去中心化构建方法; 分析了面向制造社群的区块链配置与运行方法, 包括分布式节点共识算法、智能合约、多形态构型以及社群动态演化等; 开发了一个基于Ethereum区块链技术的产消者自组织社群分布式应用原型, 验证了方法的可行性.

For adapting the socialization, individuation and servitization in manufacturing industry, a new manufacturing paradigm called social manufacturing has received a lot of attention. Social manufacturing can be seen as a network that enterprises with socialized resources self-organized into communities that provide personalized machining and service...

In actual manufacturing processes, some unexpected disturbances, called as recessive disturbances (e.g., job set-up time variation and arrival time deviation), would gradually make the original production schedule obsolete. It is hard for production managers to perceive their presences. Thus, the impact of recessive disturbances can not be eliminat...