Blockchain Papers

Alexander Demidov

Abstract The applicability of distributed ledger technology (DLT) in PLM systems at production enterprises is considered. Potential benefits of this approach include decentralization, openness, and interoperability of automation systems for production enterprises.

Yujie Ma, Gang Du, Jianxin Jiao

No abstract is available for this record.

Özden Tozanlı, Elif Kongar, Surendra M. Gupta

Manufacturing and supply chain operations are on the cusp of an era with the emergence of groundbreaking technologies. Among these, the digital twin technology is characterized as a paradigm shift in managing production and supply networks since it facilitates a high degree of surveillance and a communication platform between humans, machines, and parts. Digital twins can play a critical role in facilitating faster decision making in product trade-ins by nearly eliminating the uncertainty in the conditions of returned end-of-life products. This paper demonstrates the potential effects of digital twins in trade-in policymaking through a simulated product-recovery system through blockchain technology. A discrete event simulation model is developed from the manufacturer’s viewpoint to obtain a data-driven trade-in pricing policy in a fully transparent platform. The model maps and mimics the behavior of the product-recovery activities based on predictive indicators. Following this, Taguchi’s Orthogonal Array design is implemented as a design-of-experiment study to test the system’s behavior under varying experimental conditions. A logistics regression model is applied to the simulated data to acquire optimal trade-in acquisition prices for returned end-of-life products based on the insights gained from the system.

Joachim Stanke, Martin Unterberg, Daniel Trauth, Thomas Bergs

Abstract Networking and digitization in manufacturing enable novel methods of data-driven analysis and optimization of processes through cross-process data availability. The creation of digital twins plays an important role in this. However, not all data relevant for a digital twin can be measured directly in the process. Therefore, methods are needed that enable the modelling of quantities that are difficult or impossible to measure directly in the process, such as the finite element method. In many companies, however, neither the know-how nor the necessary IT infrastructure for finite element simulations is available. External commissioning processes are also not suitable for achieving the goals of higher productivity and agility pursued with the digitization and networking of manufacturing processes. In this contribution, an architecture is presented that enables the fully automated use of finite element simulation as a service. The architecture is developed using the case study of fine blanking. First, the requirements of the architecture to be created are determined. Important characteristics of the architecture should be scalability as well as interfaces and means of payment suitable for machine communication. In addition, ensuring data integrity is an important requirement when creating the digital twin. Based on the identified requirements, an architecture is then presented that meets these requirements by using cloud computing and distributed ledger technologies and interfaces that can directly process measurement signals from the process and communicate with the architecture. Finally, the capability of the architecture is tested, possible applications and limitations are discussed, and future extensions are considered.

Özden Tozanlı

The accelerated growth of technological advancements has triggered the expansion of customer demand leading to highly complex supply chain networks. One viable way original equipment manufacturers (OEMs) can respond to changing purchasing habits is to redesign their strategic and operational activities to build far-reaching information and resource avenues allied with effective marketing policies. These newly implemented policies need to comply with extended producer responsibility (EPR) guidelines that also well align with rising consumer awareness towards green consumption. To achieve this, manufacturers must create efficient end-of-life product (EOLP) return structures and ensure value creation through product recovery operations to dwindle the cascading waste of discarded products. From an environmental viewpoint, retrieving the value embedded in returned items through remanufacturing or recycling has been proven to be effective in reducing the amount of industrial solid waste. EOLP processing operations are heavily reliant on customers' participation in returning outdated devices making product collection a crucial step in point-to-point supply chains. To entice end-users, the OEMs need to design environmentally and economically benign product take-back strategies that would spark the volume of product returns. These constraints dictate two structural challenges: how manufacturers and consumers can become active participants of EOLP treatment activities, and how fast and efficiently OEMs can respond to the changing market and capital needs while preserving their sustainability levels. In terms of active participation, trade-in incentives can help stimulate additional revenue channels for OEMs through product remanufacturing while helping companies comply with the EPR legislations. Trade-in policies are set forth as part of long-term marketing strategies and include incentive programs that aim at enticing current and potential customers to trade-in their used products with newer generations at a discounted price or for instant credit. Within the context of purchasing behavior, trade-in programs positively impact customers' buying decisions by granting buyers the ability to claim the scrap value of their existing devices. Particularly in oversaturated industries such as electronics and automotive, take-back incentives are a pipeline for OEMs to generate significant residual value by reselling remanufactured products on secondary markets. Moreover, offering special discounts or credits in lieu of old devices fuels new product sales by creating an additional revenue stream. Still, in today’s fast-changing market dynamics, inept trade-in practices that fail to eliminate the ambiguity surrounding the prediction of the true quality of returned products bring functional and financial burdens to organizations. The conventional intransigent trade-in schemes fail to address this uncertainty leading to a number of unnecessary inspection, disassembly, and shipment steps resulting in increasing complexity and product recovery cost. Achieving an accurate trade-in scheme is a highly complex multi-dimensional problem requiring novel solutions that traditional manufacturing and supply chain technologies are incapable of offering by design. Such challenging task inevitably necessitates strategic initiatives that stem from the utilization of cutting-edge groundbreaking information technologies for rapid response to customer needs and reduced complexity across all operational layers. Despite the numerous methodologies investigating the potential value gain from remanufacturing and product acquisition pricing policies, there is no study in related literature that incorporates trade-in programs into an intelligent remanufacturing structure. A majority of previous studies propose preventive models with pre-determined and rule-based explicit model parameters hindering the practicability of the substantial volume of data generated by the increased use of technological tools. These models, inevitably, fall short in successfully incorporating long-term manufacturing goals into sustainable business strategies. With this motivation, the architectural framework this dissertation introduces addresses a predictive product recovery model for product returns to enable an autonomous, sensor-embedded, and decentralized disassembly and remanufacturing system. The main objective of this research is to investigate the feasibility of cost- and resource-effective end-of-life product management systems in a smart reverse logistics network where trade-in rebate decisions take place in an autonomous ecosystem. This research, while filling the emerging gap in the utilization of current digital technologies to determine quality-dependent acquisition strategies, also provides a novel quantitative analysis on the efficiency of trade-in policymaking. This model can be employed in manufacturing industries for precise assessment of value creation amid digital advancements in a future-oriented platform. Due to its highly saturated formation, the consumer electronics industry offers a more suitable platform for this study. Therefore, this study examines a trade-in model for a specific technological product, game console, with the help of a case study. First phase of the dissertation evaluates the performance degradation pattern of discarded electronics products in a ubiquitous manner through timestamp data enablers. To handle this highly complex large-volume data, a discrete-event simulation model is developed from the original equipment manufacturer viewpoint. The model aims to examine the behavior of returned devices as well as the expected overall cost of product recovery operations. Following this, a design of experiments study is utilized for the experimentation using Taguchi’s Orthogonal Arrays (OAs). Employing the findings obtained in the first phase, the second phase of the study deals with trade-in policymaking to determine an engaging quotation for varying quality of returned products from the perspectives of all parties involved in the transaction. To achieve this, an initial model for trade-in-to-upgrade incentives is established for discrete sets of quality standards in case where returned products are grouped into three quality classes based on their usage time. The model is then expanded to compare two product acquisition strategies, namely, trade-in-to-upgrade incentives and instant credits. To achieve a realistic strategy, two rebate models are constructed in a simulation-based game setting to mimic the customer behavior and to obtain the resulting payoffs for the OEM in a dynamic ecosystem. To handle the uncertainty in the customer's decision towards the incentive offer, logistic regression analysis is conducted to maximize the likelihood of the acceptance rate. Finally, trade-in policies are compared to obtain favorable strategies augment revenue streams.

Theodoros Dounas, Davide Lombardi

This paper presents an application of Decentralised Autonomous Organisation (DAO) in the field of design and AEC industry. The model is applied in the realm of shape grammar proposing the possibility of allowing multiple grammarists to collaborate in the definition of a new grammar within a Blockchain environment that acts as a distributed ledger. DAOs systems and Blockchain are introduced as well as shape grammar and its fundamental rules. The collaborative nature of a DAO with the inner logic of shape grammar, which bases its principle and rules in multiple variations and combinations of simple initial shapes, brings to the problem of recording and validating changes and improvements in the design chain. For this reason, a voting system to govern the process is introduced, based on both quantitative values, i.e. number of votes, and qualitative power, i.e. the reputation of who votes, applying a factor that scales the vote according to the expertise of the voter. An example is provided showing a possible scenario in a design environment along with validation criteria, and predicting future stages applied in an always more BIM-oriented practice.

Yasuhiro Monden

Strategic Information System (SIS) utilizes the word “strategic” because the very existence of such an information system has strategic significance. This chapter describes how production managers at Toyota have utilized SIS, Computer-integrated Manufacturing (CIM), and just-in-time in their production management organization. A SIS or CIM must include more than a computer-based communications network. One key element in the Toyota Group’s SIS is the order entry system by which sales companies pass along orders and other sales data to the parent company. Toyota has made a number of developments in building an information system for communicating with suppliers. Toyota established a value-added network to provide an on-line link with major Toyota Group parts manufacturers such as Nippondenso, Toyoda Boshoku, and Toyoda Automatic Loom Works. At Toyota assembly plants, the system takes the form of a multilayered, decentralized factory control system. This long term simply means that each factory includes several autonomous subsystems that mutually adjust and control factory operations.

Theodoros Dounas, Davide Lombardi

This paper presents an application of Decentralised Autonomous Organisation (DAO) in the field of design and AEC industry. The model is applied in the realm of shape grammar proposing the possibility of allowing multiple grammarists to collaborate in the definition of a new grammar within a Blockchain environment that acts as a distributed ledger. DAOs systems and Blockchain are introduced as well as shape grammar and its fundamental rules. The collaborative nature of a DAO with the inner logic of shape grammar, which bases its principle and rules in multiple variations and combinations of simple initial shapes, brings to the problem of recording and validating changes and improvements in the design chain. For this reason, a voting system to govern the process is introduced, based on both quantitative values, i.e. number of votes, and qualitative power, i.e. the reputation of who votes, applying a factor that scales the vote according to the expertise of the voter. An example is provided showing a possible scenario in a design environment along with validation criteria, and predicting future stages applied in an always more BIM-oriented practice.

M Ebrahimi, Armand Baboli, Eva Rother

In order to increase the level of global competitiveness and improve the performance of production system, a large number of manufacturing companies have implemented world class manufacturing (WCM) approach, which has developed based on the third industrial revolution and the need for mass production. The evolution in production equipment and communication technologies, and the demand of markets for personalized mass production, have forced manufacturing companies to transform their production systems and prepare for a revolution. This revolution, known as Industry 4.0 (I4.0), or the digital transformation, has been introduced as a new type of organization of manufacturing systems that is more flexible and agile, and is based on using large amounts of information and data in the decision-making process. One of the main characteristics of this concept is decentralization, which allows different subsystems to make decisions autonomously in order to have self-organization systems. There are some important differences between the principles of WCM and I4.0. World class manufacturing is mainly based on continuous improvement and cost reduction, without a global vision for profit optimization. Industry 4.0 is mainly based on using all accessible information and data of systems and making decentralized decisions, but it also involves a global vision and a systemic approach to global profit optimization. However, achieving these objectives takes a very long time, and the challenges are numerous. As with all projects, for a transformation project to succeed, it is very important to define the transition phase and the way to change and introduce these new principles. This paper presents part of our research project, in collaboration with the Fiat Powertrain Technologies company, concerning the transformation of their production system toward the factory of the future. We highlight the design principles of I4.0 and the potential of the WCM system for transformation and achieving development of the characteristics of I4.0. We focus on five of the principal technical pillars of WCM and the steps in their development, and present some modifications in adoption of the design principles of I4.0. An example of change in the professional maintenance pillar of WCM is also presented.

Igor Mazurok, Yevhen Leonchyk, Tatyana Y. Kornylova

A fundamental problem in distributed computing systems is to make the same decision on an issue. The consensus protocol de-scribes a process to agree on some data value that is needed during computation. The work is devoted to development of the consen-sus algorithm based on the Nxt consensus protocol which can be implemented to blockchain systems with PoS (Proof-of-Stake). PoS consensuses based on node balances, and unlike PoW (Proof-of-Work) methods, are environmentally friendly and more energy effi-cient. Nowadays such types of consensuses are getting more popular. However, they remain less scrutinized than PoW. Moreover, there are some attacks and threats that cannot be completely resolved under PoS consensuses, and in particular under the Nxt.In this article we propose a modification of the Nxt protocol which solves some problems of PoS in accordance with modern requirements. The asymmetric method was used to select the best Nxt consensus parameters for decreasing of the blocktime variance. This im-proves theperformance and reliability of the entire blockchain system eliminating the risk of disruptions due to overflowing the transaction pool. For the Nxt consensus protocol researching, the mathematical simulating model was developed using Anylogic 8.4 software. Implementation of economic leverages (tokenomics), which we called Proof-of-Greed approach, allows to prevent some types of attacks, e.g. large stake attack, and to set a fair market-based transaction fee. The using of economic mechanisms to protect distributed systems allows to prevent a number of attacks that are resistant to cryptographic methods. But at the same time, theto-kenomics of the system should be strictly consistent with the protocols for the functioning of all system objects, combining them into an integrated unitary ecosystem. Also, a payback period of harvesters was investigated within Proof-of-Greed protocol. The parame-ters of such approach for sustained operation of a network were obtained as a result of mathematical simulating with Anylogic 8.4 software. The Proof-of-Greed approach can be implemented not only in the Nxt consensus but in some other blockchain systems based on PoS consensuses.

Zhenzhen Shen, Aleksey Reiderman

Abstract The implementation of microelectronics, also known as multi-chip modules (MCM), is extensive in automotive, downhole and aerospace applications. MCMs have already demonstrated high-temperature performance, step improvement in reliability, and the potential to reduce product cost through miniaturization and integration of more functions. However, there are barriers preventing wider adoption of MCM technology in downhole applications. High non-recurring expenditures (NRE) charges increase development costs. Long substrate lead times prolong the time to market. Lengthy design iterations make it difficult to apply lean startup methodology to accelerate innovation. The main factor that leads to high NRE and long lead times is the complexity of substrate manufacturing processes. Together with assembly, MCM manufacturing comprises at least 11 steps, 6 different materials, 10 or more different machines, and requires a minimum of 6 supporting employees. A new concept proposes a simplified process to reduce labor and expenses. With best implementation, this process would require only a single machine capable of cycling through 3-step process of dispensing, placement and cure. Despite the dramatically simplified process, the constructional complexity of circuits can still be very high, such as a 3D multilayer MCM. In this paper, this concept was evaluated, micro-dispensing equipment was used to create basic circuitry blocks. Different materials to create conductive traces, isolation layers and wire bond replacement were evaluated. High-temperature aging tests were conducted to monitor the electrical and mechanical performance under thermal stress. The feasibility of dispensing fine features using dispensing and jetting methods are presented in the study. Conductors are a critical part in microelectronic assemblies because they create interconnects and thermal dissipation paths for microelectronics. Three different conductor materials were tested for their dispensability, resistance, continuity at temperature, and coefficients of thermal expansion (CTE) compatibility with different materials under thermal cycling. For dielectric materials, the requirements were to create various assembly constructs. The characterization included dispensability, electrical insulation, breakdown voltage, high-temperature performance, and the effects of CTE. Different approaches with different materials were tested for feasibility for wire bonding replacement. The application needs fine feature size with medium resistance lines. Consequently, the criteria for the material selection are fine particle size and medium sheet resistance. For high-power devices where heavy-gauge wires were used, jet dispensing is applicable. For other application with regular wire diameters, direct write is used. The over-all tests demonstrated the feasibility of using dispensed materials to replace wire bonds, which brings better reliability for shock and vibration, as compared to traditional wire bonds. The reliability of this approach requires a set of optimally matched conductive and dielectric materials. Three conductive materials (A, B and C) and three dielectric materials (D, E and F) were evaluated in this study. Tested conductive epoxy A can be used for attachment of SMT components with non-tin terminals, short traces, and wire bonding replacement for 25-μm wires, but it is not ideal for fine lines(<65um). Tested conductive epoxy B can be used for fine traces (58μm), and wire bonding replacement for 25-μm wires. The resistance of that material is not ideal. Nano-silver paste can be used for long traces, heavy-gauge wire bonding replacement, pads/polygons, the sheet resistance is equivalent to 0.5Oz Cu. For dielectrics, epoxy C can be used for crossovers, dielectric layers, and components staking. Epoxy D can be used for die edge insulation, but it is not ideal. Epoxy E can be used for crossovers and components staking. Epoxy F can be used for encapsulation and components staking. The wire bonding replacement concept structure is established with the dielectric forming the insulation around die edge, then the conductive wires dispensed on top of it. Feasibility was confirmed, a proof-of-concept was built, and some level of thermal stress was tested on the samples. Particle size and viscosity are critical to achieve fine features for micro-dispensing conductors and dielectrics. Periodic evaluations must be conducted to follow up on industry's progress with materials.

Jiewu Leng, Hao Zhang, Douxi Yan, Qiang Liu · 6 authors

No abstract is available for this record.

Hong‐Seok Park, Ngoc-Hien Tran

Globalization, unpredictable markets, increased products customization and frequent changes in products, production technologies and machining systems have become a complexity in today’s manufacturing environment. One key strategy for coping with the evolution of this situation is to develop or apply an enable technology such as intelligent manufacturing. Intelligent manufacturing system (IMS) is characterized by decentralized, distributed, networked compositions of heterogeneous and autonomous systems. The model of IMS is inherited from the organization of the living systems in biology and nature so that the manufacturing system has the advanced characteristics inspired from biology such as self-adaptation, self-diagnosis, and selfhealing. To prove this concept, an innovative system with applying the advanced information and communication technology such as internet of things, cognitive agent are proposed to integrate, organize and allocate the machining resources. Innovative system is essential for modern machining system to flexibly and quickly adapt to new challenges of manufacturing environment.

Hong‐Seok Park, Ngoc-Hien Tran

Smart manufacturing considered as a new trend of modern manufacturing helps to satisfy objectives associated with the productivity, quality, cost and competiveness. The smart manufacturing system is characterized by decentralized, distributed, networked compositions of autonomous systems. The model of smart manufacturing is inherited from the organization of the living systems in biology and nature such as ant colony, school of fish, bee's foraging behaviors, and so on. In which, the resources of the manufacturing system are considered as biological organisms, which are autonomous entities so that the manufacturing system has the advanced characteristics inspired from biology such as self-adaptation, self-diagnosis, and self-healing. In this paper, a cloud based smart manufacturing system for machining transmission cases is considered as research object in which the advanced information and communication technology such as cognitive agent, swarm intelligence, and cloud computing are used to integrate, organize and allocate the machining resources.

Hong‐Seok Park, Ngoc-Hien Tran

Smart manufacturing (SM) considered as a new trend of modern manufacturing helps to meet objectives associated with the productivity, quality, cost and competiveness. It is characterized by decentralized, distributed, networked compositions of autonomous systems. The model of SM is inherited from the organization of the living systems in biology and nature such as ant colony, school of fish, bee’s foraging behaviors, and so on. In which, the resources of the manufacturing system are considered as biological organisms, which are autonomous entities so that the manufacturing system has the advanced characteristics inspired from biology such as selfadaptation, self-diagnosis, and self-healing. To prove this concept, a cloud machining system is considered as research object in which internet of things and cloud computing are used to integrate, organize and allocate the machining resources. Artificial life tools are used for cooperation among autonomous elements in the cloud machining system.

Hans Kurt Tönshoff, Marcel Winkler, Jan C. Aurich

Holonic manufacturing is a new approach to the organization of decentralized autonomous and cooperative manufacturing systems. Such systems lead to new requirements for a product model, which can not be entirely fulfilled with today's product modelling techniques. This paper outlines the new requirements for product modelling and presents an approach to a solution based on the use of features technology.>

John Allen Neal

The development of a "Next Generation Manufacturing System" is currently an active area of research worldwide. The research described in this dissertation addresses one sub-element within this research area; namely, the demonstration of a decentralized, automated production architecture. The goal of the work is to increase the ability of a manufacturing enterprise to respond to rapid technological and market change in the post-2000 global economy. The research is comprised of three objectives; definition of a decentralized organizational structure of autonomous production activities, implementation of the defined organization in a real world manufacturing environment, and a comparison of historical (centralized architecture) performance data and decentralized performance data. To accomplish these objectives, the proposed production architecture is implemented at a real world manufacturing site and performance data are acquired and tested against a stated hypothesis. The research entails the modification of a selected electronics module assembly activity in the following ways: 1) comprehensive automation of assembly processes; 2) simplification of production practice through a minimization of operator interaction and a reduction of assembly transaction points requiring operator intervention; and 3) restructuring of organizational functions resulting in decentralization and operational autonomy. The null hypothesis was successfully rejected and it was shown that the implementation of automation, simplification, and decentralization resulted in an enhancement of production performance (i.e., a reduction in throughput time, labor cost, overhead cost, and total product cost) without degrading production quality. A test of the null hypothesis based on the data indicates a statistically significant (i.e., p less than or equal to 0.05) reduction in throughput time, labor cost, overhead cost, and total product cost while no statistically significant difference in the before and after production quality data was shown. A possible interpretation of these results is that the implementation of automation, simplification, and decentralization did result in a reduction in the labor cost, overhead cost, and total product cost and did not result in a degradation in production quality.

Ernesto Martínez

No abstract is available for this record.

Holm Gottschalch

No abstract is available for this record.

和夫 太田

No abstract is available for this record.