A framework for the design of knowledge management systems in eco-design

Eco-design is becoming a crucial challenge for many companies. The effective integration of environmental concerns into design is linked to the development of Knowledge Management Systems (KMS). In this context, this paper proposes a framework to support the design of KMS for eco-design. This framework consists of two complementary parts linked to the main knowledge management strategies that KMS generally support. The first part of the framework concerns codification strategy and relies on an eco-design process reference model and the related adaptation of the GAMETH^® method used to locate and evaluate crucial knowledge systematically. The second part of the framework concerns the personalisation strategy. In this paper we propose to exploit the community of practice (CoP) theory by: (1) proposing guidelines defining the structural features of CoPs and (2) adapting a tool landscape providing insight on CoP instrumentation. Both guidelines support the setting up of a specific CoP. The exploitation of the framework is illustrated on a real case study.     

A performance evaluation of three inference engines as expert systems for failure mode identification in shafts

This paper aims to present performance evaluation of three different inference engines (rule based reasoning, fuzzy based reasoning and Bayesian based reasoning) for failure mode identification in shafts. This research was done with a focus on the validation cases and results after their use in failure cases from several industries where the three systems were tested under the same conditions.Each system was implemented using the same user interface and knowledge base, with different frameworks and techniques as follows: rule based inference reasoning (prolog, C#), Mamdani-fuzzy based reasoning (C, MATLAB®) and Bayesian based reasoning with a variable elimination algorithm (C, MATLAB®).The best performance was obtained using the Bayesian inference engine. The conditional probabilities give flexibility when evidence is not listed, while the fuzzy and classical IF-THEN systems depend on the rules in the inference engine.The process presented in this paper could be used for validation of any expert system or for comparison with other expert systems (inference engines) when the knowledge base is the same.     

The use of expert systems in total quality management: An exploratory study

This paper explores the potential for the use of expert systems in total quality management (TQM). The study was carried out under the auspices of the first multi-company programme of research into TQM. Among the findings are that it is feasible to run expert systems on personal (and other) computers in order to assist with aspects of TQM such as statistical process control, quality costing, goods receiving, corrective action procedures, supplier development, quality function deployment and field failure analysis, and that the potential application of expert systems to TQM was received with some degree of enthusiasm by the personnel with whom the concept was discussed. It is also pointed out that the most difficult task in producing an expert system is acquisition of knowledge, and that knowledge elicitation can be facilitated by use of the quality assurance mapping technique—Q-MAP.     

An analytical framework for reliability growth of one-shot systems

In this paper, we introduce a new reliability growth methodology for one-shot systems that is applicable to the case where all corrective actions are implemented at the end of the current test phase. The methodology consists of four model equations for assessing: expected reliability, the expected number of failure modes observed in testing, the expected probability of discovering new failure modes, and the expected portion of system unreliability associated with repeat failure modes. These model equations provide an analytical framework for which reliability practitioners can estimate reliability improvement, address goodness-of-fit concerns, quantify programmatic risk, and assess reliability maturity of one-shot systems. A numerical example is given to illustrate the value and utility of the presented approach. This methodology is useful to program managers and reliability practitioners interested in applying the techniques above in their reliability growth program.     

A multi-agent framework for capability-based reconfiguration of industrial assembly systems

Rapidly changing market requirements and shorter product lifecycles demand assembly systems that are able to cope with frequently changing resources, resource capabilities and product specifications. This paper presents a multi-agent framework that can adapt an assembly system in order to cope with such changes. The focus of this work is on the ability to plug resources (such as PLCs) into and out of the system, and dynamically aggregate resource capabilities to form more complex ones as resources are plugged in. In addition, an implementation of the framework on an industrial assembly system is discussed, and some insights are provided into some of the key features that product specification languages ought to have to be useful in real world assembly systems, and into the added value of using the proposed framework.     

Biochar systems: Developing a socio-technical system framework for biochar production in Norway

Biochar is charcoal produced from feedstock under pyrolysis. It has gained interests among researchers in recent years because of its agronomic and environmental benefits. It is considered to increase soil fertility and crop productivity, and biochar might play an important role as a climate mitigation tool that is able to capture carbon in the soil.However, although research has focused on the chemical, biological, and technical aspects of biochar, we seem to be far away from the implementation of a functioning biochar system. One key aspect needed for the actual use of biochar technologies is increased awareness and emphasis on the social and organizational aspects of its implementation. As there are no functional markets for the services and products needed to ‘produce’ a biochar system, political and market devices are needed. This paper contributes to this debate by introducing a socio-technical framework that investigates the implementation of different biochar technologies in Norway. Based on this socio-technical system framework, we discuss necessary components of a sustainable biochar socio-technical system, and we outline variations of this system based on different levels of biochar production scaling.     

A novel framework for the reliability modelling of repairable multistate complex mechanical systems considering propagation relationships

Due to the propagation, amplification, and concatenation in a failure process, the reliabilities of repairable multistate complex mechanical systems (RMCMSs) may be affected by a significant fluctuation due to a small exception associated with a reliability indicator. Focused on the problems arising from the lack of propagation relationships among fault modes, functional components, and failure causes in conventional reliability models, a novel framework for reliability modelling is proposed to comprehensively analyse the reliabilities of RMCMSs. First, the reliability models are abstracted as weighted and directed networks with five layers. Second, an improved failure mode and effects analysis (IFMEA) method combined with the D‐number method and VIKOR approach is presented to determine the importance of reliability nodes. Third, a cut set of the reliability model is generated by any exception of a reliability indicator by considering the propagation relationships, and the reliability sensibility index is defined to characterize the fluctuations in system reliability. The effectiveness of the proposed framework is demonstrated in an actual reliability modelling application. As an intuitive method, the proposed framework inherits the advantages of conventional models but overcomes the drawbacks of these existing methods. Therefore, this method can be flexibly and efficiently used in the reliability modelling of RMCMSs. Moreover, the approach provides a foundation for comprehensive and dynamic reliability analysis and the failure mechanism mining of RMCMSs, and it can be used in other engineering applications.     

A framework for characterising energy consumption of machining manufacturing systems

Energy consumption in machining manufacturing systems is increasingly of interest due to concern for global climate change and manufacturing sustainability. To utilise energy more effectively, it is paramount to understand and characterise the energy consumption of machining manufacturing systems. To this end, a framework to analyse energy consumption characteristics in machining manufacturing systems from a holistic point of view is proposed in this paper. Taking into account the complexity of energy consumption in machining manufacturing systems, energy flow is described in terms of three layers of machining manufacturing systems including machine tool layer, task layer and auxiliary production layer. Furthermore, the energy consumption of machining manufacturing systems is modelled in the spatial and temporal dimensions, respectively, in order to quantitatively characterise the energy flow. The application of the proposed modelling framework is demonstrated by employing a comprehensive analysis of energy consumption for a real-world machining workshop. The characteristics of energy consumption for machine tool layer, task layer and auxiliary production layer are, respectively, obtained using quantitative models in the spatial and temporal dimensions, which provides a valuable insight into energy consumption to support the exploration of energy-saving potentials for the machining manufacturing systems.     

An empirical investigation of knowledge management competence for enterprise resource planning systems success: insights from Jordan

The primary objective of the study reported herein is to empirically test the implicit, positive relationships between ERP-related Knowledge Management Competence (KM-competence; knowledge creation, knowledge retention, knowledge transfer, and knowledge application) dimensions and the extended Enterprise Resource Planning System Success construct (ERP system success; individual impact, workgroup impact, organisational impact, information quality, system quality, and vender/consultant quality). Data were collected from 173 of business and IT managers in 455 organisations in Jordan. Statistical techniques employed included confirmatory factor analysis to examine validity of the measurement model, and structural equation modelling using AMOS 16.0 is also utilised to test the hypotheses. The results of analysis show there is a positive significant impact of ERP knowledge creation on ERP success. Also, ERP knowledge retention positively and significantly affects ERP system success. Moreover, ERP knowledge transfer positively and significantly influence ERP system success. Furthermore, ERP knowledge application has positive effect on ERP system success. The results also indicate that ERP success construct is robust since all six observed variables are strongly loaded to the latent variable. Research limitations as well as implications for practice and research are discussed.     

A quality management framework for implementing additive manufacturing of medical devices

This paper aims to provide a comprehensive review of the implementation of additive manufacturing (AM) for medical devices. A quality management framework is proposed with discussion on topics such as software and data input, product understanding, AM equipment qualification, process understanding and continuous process verification. The interplay between input materials, process controls, and final outcomes of AM were analysed in the framework of quality management. Opportunities and challenges in implementing AM for medical devices are discussed.     

A framework with revised rough-DEMATEL to capture and evaluate requirements for smart industrial product-service system of systems

Smart industrial product-service system of systems (SiP-S3) is a new extension of industrial PSS via smart technology and SoS (system of systems) engineering. A framework with revised rough-DEMATEL method is proposed to capture and evaluate requirements for SiP-S3. From the various interactions in value stream mapping of SiP-S3, business, functional and non-functional requirements can be captured and converged into SiP-S3 requirements. Due to the interrelation between requirements of SiP-S3 and uncertainty of expert judgments, rough-DEMATEL is adopted but is revised in two aspects. Generally, SiP-S3 requirement items are plentiful, a set of programming code for rough set approximation is firstly given to reduce manual calculation burden. Moreover, compared to multiple operators of modified-CFCS (converting fuzzy values into crisp scores) plus SVL (single vector-length), a feasible and simpler operator of AVL (average vector-length) on rough-prominence and rough-relation is firstly devised to prioritise requirements. As such, roughness can be remained till at the end of calculation procedure to avoid uncertain assessment information loss. Surface mount technology (SMT) is not trivial in electronic manufacturing service industry, an illustrative case study of SMTE-S3 (SMT equipment-service system of systems) is demonstrated to verify feasibility and potential of proposal methodological framework.     

Reliability of safety-critical systems: A state-of-the-art review

Safety-critical systems are designed to prevent catastrophic consequences from failure, such as injury or death to humans and environmental damage. These must be carefully designed to ensure reliability requirements. The purpose of this paper is to identify the number of models in the reliability analysis of safety-critical systems. To achieve this goal, we conducted a systematic review of 40 shortlisted studies. The selected studies are classified based on various techniques used in safety-critical systems. This paper summarizes the literature review in the field of reliability of safety-critical systems. The limitations of the literature are exquisitely represented. The international safety norms and applications of safety-critical systems are discussed systematically in this paper. This paper emerges research trends, research challenges and insights of the researcher for future research direction in the area of safety-critical systems.     

Bayesian Diagnostic Network： A Powerful Model for Representation and Reasoning of Engineering Diagnostic Knowledge

Engineering diagnosis is essential to the operation of industrial equipment. The key to successful diagnosis is correct knowledge representation and reasoning. The Bayesian network is a powerful tool for it. This paper utilizes the Bayesian network to represent and reason diagnostic knowledge, named Bayesian diagnostic network. It provides a three-layer topologic structure based on operating conditions, possible faults and corresponding symptoms. The paper also discusses an approximate stochastic sampling algorithm. Then a practical Bayesian network for gas turbine diagnosis is constructed on a platform developed under a Visual C environment. It shows that theBayesian net work is a powerful model for representation and reasoning of diagnostic knowledge. The three-layer structure and the approximate algorithm are effective also.     

地震模拟振动台控制系统的发展

地震模拟振动台试验多采用离线迭代控制(ICS)实现波形的高精度复现,然而,多次迭代将对易损试验体造成累积损伤,同时,非线性试验体连续变化的动力特性将导致离线迭代控制出现精度下降的问题。针对上述问题,提出了一种基于系统矩阵修正的高精度在线迭代控制方法(HRICS)。该方法利用地震动加载过程中的实测数据在线识别系统矩阵,进而选择修正策略,并采用矩阵精度评价指标评估系统矩阵识别精度,若满足精度要求,则采用基于帧或者频率点的修正策略更新系统矩阵,最终使响应信号能够高精度地复现目标波形。通过振动台模型试验验证HRICS方法的有效性,并通过数值模拟研究HRICS方法的在非线性试验体下的控制性能。试验结果表明：HRICS采用频率点修正策略能获得最佳的控制效果;HRICS方法对目标信号的再现精度明显高于ICS方法第一次迭代后的结果。

     

Investigating the role of business processes and knowledge management systems on performance: A multi-case study approach

In the ever-changing and competitive market place, organisations continuously need to improve their competitive advantage. One method to accomplish this is to form collaborative networks. Both knowledge management (KM) and KM systems play a pivotal role in the success of collaborative networks since information sharing and knowledge assets are so critical to the network. There has been a vast amount of research on KM systems but very little is known about how it affects individual and organisational performance. Drawing on the task–technology fit theory, in this study, we explore the fit or alignment between business process (task) and KM systems (technology) and its impact on KM systems utilisation based on multiple case studies. Subsequently, we investigate the impacts of both the task–technology fit and KM systems utilisation on individual and business performance. This paper contributes to the collaborative network/KM literature in several ways. First, it extends the task–technology fit theory to an important context of collaborative network/KM. Second, it replaces task with business process, which has the potential to help explain KM systems’ success on business performance. Third, the paper explores the positive impact of task–technology fit on KM system utilisation and business performance. Fourth and finally, the study provides insight into the future development of KM systems and how to better align them with managerial purposes.     

A text-based monitoring tool for the legitimacy and guidance of technological innovation systems

Disruptive technologies have to overcome their liability of newness and transition into their growth phase by achieving compliance with existing institutions and pursuing the most promising development paths. Technological innovation system (TIS) studies examined these two issues of legitimacy and guidance of innovation activities by investigating the public discourse with manual media analyses. However, these approaches are time-consuming, prone to subjectivity biases and limited in scope. Therefore, our paper proposes an automatic text analysis methodology based on unsupervised Latent Dirichlet Allocation (LDA) topic modelling and lexicon-based sentiment analysis. By processing 3423 German newspaper articles from the Nexis Uni database, we cover the development of battery-electric vehicles (BEV) in Germany from 2009 to 2019 and identify five socio-technical aspects. Our results indicate an intact legitimacy for the TIS, with Usability, R&D, and Industry being legitimate aspects, which also exhibit strong or improving guidance. In contrast, the Infrastructure and Policy aspects have been less legitimate and weak in guidance, suggesting the need for more holistic policy measures and infrastructure expansion to establish a mass market. Our proposed methodology adds to the toolbox of methods to analyze TIS and serves as a monitoring tool to reveal contested aspects and periods in the public discourse.     

An ISM approach for modelling the enablers of flexible manufacturing system: the case for India

The volatile condition of today's market is forcing the manufacturing managers to adapt the flexible manufacturing systems (FMS) to meet the challenges imposed by international competition, ever changing customer demands, rapid delivery to market and advancement in technology. There are certain enablers, which help in the implementation of FMS or in the transition process from traditional manufacturing systems to FMS. The utmost need is to analyse the behaviour of these enablers for their effective utilization in the implementation of FMS. The main objective of this paper is to understand the mutual interaction of these enablers and identify the ‘driving enablers’ (i.e. which influence the other enablers) and the ‘dependent enablers’ (i.e. which are influenced by others). In the present work, these enablers have been identified through the literature, their ranking is done by a questionnaire-based survey and interpretive structural modelling (ISM) approach has been utilized in analysing their mutual interaction. An ISM model has been prepared to identify some key enablers and their managerial implications in the implementation of FMS.     

An A[r,R) instability criteria for a class of uncertain discrete systems

Abstract

In this paper, simple criteria for the instability of a class of uncertain discrete systems are derived. Such criteria can be easily checked by estimating the largest nonnegative zero of two specific polynomials. A numerical example is also provided to illustrate the main results.     

A mathematical model and a heuristic approach for design of the hybrid manufacturing systems to facilitate one-piece flow

One-piece flow is a design rule that entails production in manufacturing cells on a ‘make one, check one, and move-on one’ basis (Black, J.T., 2007. Design rules for implementing Toyota Production System. International Journal of Production Research, 45 (16), 3639–3664), which reduces manufacturing lead time significantly. This paper proposes a sequential methodology comprised of a mathematical model and a heuristic approach (HA) for the design of a hybrid cellular manufacturing system (HMS), to facilitate one-piece flow practice. The mathematical model is employed in the cases of small- and medium-sized problems, and it attempts to minimise the total number of exceptional operations, while considering machine capacities and alternative machines. The machine-part matrix achieved by the mathematical model is input into the flow line design stage of the HA, where backflow within the cells is eliminated. However, for industrial problems, the proposed HA is utilised. After the formation of the cells by clustering, the HA attempts to eliminate exceptional operations of a given cellular configuration together with a functional structure by employing alternative machines, based on the decision rules developed. Later, unidirectional flow within the cells is achieved and the capacity and budget constraints are satisfied. A medium-sized problem is solved by using both of the approaches, namely, the model integrated with the flow-line design stage of the HA and the complete HA. The results are discussed and the limitations are explained.