A generic model of manufacturing flexibility based on system control hierarchies

Bare-bones languages serve small systems with ease: Cushmann, R HEDN Vol 25 No 16 (5 September 1980) pp 171–177

This work presents the solution based on the augmenting sequence of linear programming problems (LPP) as a tool for intellectualizing home environment. The proposed solution empowers the intelligent decision making procedure which can be applied to various intelligent control applications. The augmenting self-training procedure based on LPP approach is presented as well, which allows making reasonable decisions having only limited data about the controlled environment. The method permits retraining the decision making system when new data is available. As a proof of concept, this solution is applied to intelligent light control application. The obtained simulation results show the method’s capability in making reasonable decisions according to users preferences. DOI: http://dx.doi.org/10.5755/j01.itc.44.2.10235

This study intendsto examine the effect of budget emphasis and budget participation on budgetary slack practiced in small manufacturing companies. The practices of budgetary slack are often thought to occur only in large companies, but depends on agency theory it can be apply to any agency relationship at every level and type of organization, the practices of budgetary slack, as a form of control costs, or part of agency costs, is suspected to occur in small manufacturing companies. Budgetary slack is worth investigating because this practice does not provide real economic results for the company. This research was conducted through a survey of 80 small manufacturing companies located in Tangerang. Data analysis techniques used linear regression.The resulthas indicatethat: (1)budgetemphasis isthe maindeterminantof budgetary slack practice; (2) budget participation, although it has a strong correlation with budgetary slack, is a significant determinant of small manufacturing companies.

Application of the fuzzy logic intelligent control of space-based systems has received relatively less attention compared to conventional control procedures. Basic concepts involved in development of a hierarchical control system using fuzzy logic are explained. Next, fuzzy logic is applied to control a novel two-link robotic arm, composed of revolute and prismatic joints, supported by a mobile base traversing along an orbiting platform. The control system that is developed has three levels. A conventional controller, consisting of the feedback linearization technique combined with proportional-derivativecontrol is used in the bottom level of the hierarchical system, to control the servomotors of the robot. A second layer consists of a servo-expert that preprocesses the high-resolution information coming from joint encoders and extracts the status of the system. A third, intelligent layer is added at the top of the hierarchy to complete the control structure. The main purpose of the top level is to tune the parameters of the crisp (conventional) controller to improve the response of the system. A decision table is developed of ine, for tuning the parameters of the crisp (nonfuzzy) controller, which considerably reduces the real-time computational effort. Typical pick-and-place results from the robot are presented that show that extra tuning can signiŽ cantly improve the performance of the manipulator.

As digital transformation (DX) develops, various security threats occur, mainly in the manufacturing industry. This study considers the characteristics of small and medium-sized manufacturing companies in the DX environment. Moreover, the security threats to small and medium-sized manufacturing companies are derived, security areas are established from technical and management perspectives, and minimal guidelines for each area are proposed. Based on these results, small and medium-sized manufacturing companies can establish security policies that are tailored to the size of the company, assets, importance of work, and business areas that require digital transformation.

Information systems in small manufacturing companies can have a big impact on increasing economy and productivity. Due to limited human and financial resources, these companies generally use cheaper commercial solutions or develop specialized information system solutions that are adapted to their needs. In order to properly solve the problem of introducing an information system, a thorough analysis of information flows in the company and corresponding business processes is necessary. The main subject and goal of the research in this work is related to the investigation of time losses due to the absence of an information system from the aspect of managing the flow of cutting tools, as well as the presentation of the foundations for its development in a small manufacturing company.

This paper examines some of the challenges of implementing design-led technologies, such as computer-aided design (CAD), in the context of small manufacturing companies. The research is based on university-company collaborations in the UK using the Knowledge Transfer Partnership (KTP) model, and the paper adopts a case-study approach based on three such partnerships. The authors assess the operational impact of design-led technologies in three key areas: lead times, project costs and product quality. The general design-based challenges are evaluated by examining the management and new product development culture in small manufacturing companies.

The study analyzed the entrepreneurs’ choice for explorative and exploitative innovation and their effects on product innovation. Death anxiety, a psychological factor, is analyzed as it is assumed to be important in mediating the relationship between explorative or exploitative innovation and product innovation. A sample of 60 entrepreneurs from small manufacturing companies was analyzed in three waves over three consecutive years, while the data was analyzed using PLS-SEM. Empirical evidence supports the assumption that entrepreneurs’ fear of death partially mediates explorative and exploitative innovation influence on product innovation. The findings show that death anxiety is negatively affecting explorative innovation, with negative effects for radical innovation, and positively influencing exploitative innovation, supporting incremental innovation. The effects may be far reaching, only if considering the current SARS-COV-2 epidemics, which may radically change not only the social landscape, but also the way the entrepreneurs are substantiating their decisions.

This paper deals with the effects of intergenerational learning and forms part of an empirical study of intergenerational learning in the workplace that was conducted in a small manufacturing company. The main objective of the study is to answer the following question: What are the effects of intergenerational learning in the workplace? In order to investigate the issue as thoroughly as possible, the entire research survey was designed as a case study, applying both qualitative and quantitative data collection methods. Answers to the main research question of this paper were obtained by conducting fourteen individual semi-structured interviews that enabled us to identify the effects of intergenerational learning, ranging from positive to negative.

Expert System Approach of Industrial Process Adaptive Control

Application of Intelligent Control in Mine Mechatronics System

In accordance with the technical features of large capacity, non-linear and dead time temperature resistance kiln system.a fuzzy predicted coordinated control algorithm is stated .Enhance tracking and anti-inference capabilities of The algorithm. Simulation results indicate that this method is better adaptive to the alteration and improverer the static precise that PID control.

In view of the characteristics of the electrohydraulic servo system, a man-simulated intelligent controller is designed so as to improve the system static precision and dynamic characteristic by application of intelligent control theory in this paper. The results of the emulation and experiment indicate that this controller has good control.

Intelligent control techniques are suited for problems that are either difficult to tackle mathematically or where the use of these techniques provides improved performance, easier implementation, or faster time to market. The authors present some industrial applications of fuzzy logic and neural networks at Rockwell, comprising motor control, autopilot level change control, aircraft autothrottle control, aircraft gain schedule generation, sensor diagnostics, and control of color printing. The authors discuss the driving factors for using fuzzy and neural approaches in these applications and the benefits derived. The authors also comment on how to select the right application of intelligent control techniques to derive maximum commercial payoff.

: Calculating the amount of information about a random function contained in another random function has important uses in communication theory. An expression for the mutual information for continuous time random processes has been given by Gelfand and Yaglom, Chiang, and Perez by generalizing Shannon's result in a natural way. Under a condition of absolute continuity of measures the continuous time expression has the same form as Shannon's result. For two Gaussian processes Gelfand and Yaglom express the mutual information in terms of a mean square estimation error. We generalize this result to diffusion processes and express the solution in a different form which is more naturally related to a corresponding filtering problem. We also use these results to calculate some information rates.