Swedish embedded software and vertically integrated industries: an appraisal

In this paper, we use an evolutionary economic framework on knowledge management to make a first assessment of Swedish production of “embedded software”. The assessment starts by reviewing definitions and measurement techniques of software production. The reviews objective is to capture statistically relevant dimensions of software production in different countries to offer a first approximation of Swedish software production. In this paper, we focus on one type of software production, namely “embedded software”, and propose to measure it thanks to aspects of knowledge assets in vertically integrated industries. Our suggestion in this paper is to treat Swedish “embedded software production” within a classical product cycle model (Vernon, 1966). From that point of view, one can derive some characteristics relevant to industrial sectors. This paper limits itself to the link between “embedded software” and “industrial sectors” leaving the location dimension of software production for another paper1. Here, one considers (1) basic evolutionary economic characteristics on the linkage between vertical integration of the manufacturing industry and the measurement of embedded software, (2) measurement boundaries of software production regarding the existing indicators in the US, OECD and Sweden. (3) descriptive statistics on the Swedish software expenditure per industrial sectors

Needing a new programme : why is union membership so low among software workers?

In terms of employee characteristics, software workers represent a particularly fascinating and important group of workers to explore in terms of their behaviour towards unions. They represent an expanding cohort of so-called knowledge workers in the UK and other countries, many possessing considerable latent power through their proximity to and involvement with electronic means of production and accumulation. An early study of technical workers' unionism by Smith (1987) provides evidence that computer personnel possess at least some of Batstone et al's (1978) four potential sources of industrial power, namely: skill scarcity, strategic position, immediate impact on production, and potential to create uncertainty (Smith 1987: 104). Other writers, however, have hinted that software workers are no less immune to management pressures to routinise and Taylorise their work than are any other group of skilled workers (Kraft and Dubnoff 1986; Beirne et al 1998). Software workers also enjoy familiarity with information technology, an increasingly effective tool in organising union membership both in the USA (Fiorito et al 2002) and the UK (Diamond and Freeman 2002)

Estimation of Defect proneness Using Design complexity Measurements in Object- Oriented Software

Software engineering is continuously facing the challenges of growing complexity of software packages and increased level of data on defects and drawbacks from software production process. This makes a clarion call for inventions and methods which can enable a more reusable, reliable, easily maintainable and high quality software systems with deeper control on software generation process. Quality and productivity are indeed the two most important parameters for controlling any industrial process. Implementation of a successful control system requires some means of measurement. Software metrics play an important role in the management aspects of the software development process such as better planning, assessment of improvements, resource allocation and reduction of unpredictability. The process involving early detection of potential problems, productivity evaluation and evaluating external quality factors such as reusability, maintainability, defect proneness and complexity are of utmost importance. Here we discuss the application of CK metrics and estimation model to predict the external quality parameters for optimizing the design process and production process for desired levels of quality. Estimation of defect-proneness in object-oriented system at design level is developed using a novel methodology where models of relationship between CK metrics and defect-proneness index is achieved. A multifunctional estimation approach captures the correlation between CK metrics and defect proneness level of software modules.Comment: 5 pages, 1 figur

Industrial DevOps

The visions and ideas of Industry 4.0 require a profound interconnection of machines, plants, and IT systems in industrial production environments. This significantly increases the importance of software, which is coincidentally one of the main obstacles to the introduction of Industry 4.0. Lack of experience and knowledge, high investment and maintenance costs, as well as uncertainty about future developments cause many small and medium-sized enterprises hesitating to adopt Industry 4.0 solutions. We propose Industrial DevOps as an approach to introduce methods and culture of DevOps into industrial production environments. The fundamental concept of this approach is a continuous process of operation, observation, and development of the entire production environment. This way, all stakeholders, systems, and data can thus be integrated via incremental steps and adjustments can be made quickly. Furthermore, we present the Titan software platform accompanied by a role model for integrating production environments with Industrial DevOps. In two initial industrial application scenarios, we address the challenges of energy management and predictive maintenance with the methods, organizational structures, and tools of Industrial DevOps.Comment: 10 page

Perspectives on the sources of heterogeneity in Indian industry

The authors examine technical efficiency variation across four industrial sectors in India, using a stochastic production frontier technique. The results are comparable to technical efficiency distribution patterns obtained in other countries. The authors examine heterogeneity in firm-level efficiency against internal, firm-level characteristics and against external characteristics (industry and location). The results suggest that managerial effectiveness significantly influences efficiency and that considerable benefits derive from location within established industrial clusters for particular industries. The methodology and findings indicate that the study of industry-specific technical efficiency patterns is a useful analytical tool for tracking domestic firms'response to liberalization and the advance of market forces. An important policy implication of the authors'results: There is considerable room for efficiency gains through better organization and management of production processes and improved supply chain management, even in the highly organized corporate sector. These gains could be achieved by purely internal learning processes with no extra investment in physical plant or equipment, or with the help of outside consultants, or through business alliances with partners from industrial countries (a rising trend). The results also show that greater technical efficiency correlates with better energy use and higher investments in plant management. How firms can be induced to undertake such investments in the"software"of production is an important issue. Liberalization and globalization are likely to bring significant productivity gains even in low-technology industries as managers gear up to meet the challenges of competition.Environmental Economics&Policies,Water and Industry,Health Monitoring&Evaluation,Economic Theory&Research,Banks&Banking Reform

Autonomous guided vehicles applied to industrial engineering and management studies

This article presents a framework to an Industrial Engineering and Management Science course from School of Management and Industrial Studies using Autonomous Ground Vehicles (AGV) to supply materials to a production line as an experimental setup for the students to acquire knowledge in the production robotics area. The students must be capable to understand and put into good use several concepts that will be of utmost importance in their professional life such as critical decisions regarding the study, development and implementation of a production line. The main focus is a production line using AGVs, where the students are required to address several topics such as: sensors actuators, controllers and an high level management and optimization software. The presented framework brings to the robotics teaching community methodologies that allow students from different backgrounds, that normally don’t experiment with the robotics concepts in practice due to the big gap between theory and practice, to go straight to ”making” robotics. Our aim was to suppress the minimum start point level thus allowing any student to fully experience robotics with little background knowledge

Hybrid Petri nets-based Flow modeling and application on hybrid system.

Flow management is necessary in several application areas, in the optimization of industrial production lines, in IT to manage data flows and in the automation of industrial systems. Physical systems in general consist of continuous processes interacting with discrete processes forming a hybrid dynamic system constituted by continuous dynamic type models and discrete events. The application of the hybrid Petri nets tool in the modeling, study and performance evaluation of these systems helps to analyze the dynamic properties by acting on the parameters and the structure of the models in order to evaluate their behavior. This work is focused on the application of this tool to model a material flow management system between a rotary kiln and a clinker cooler in a production line (cement process). The implementation of the modeling and the analysis of the results obtained by simulation on a software platform (Visual Object Net ++), aims to study industrial processes with mathematical tools and to follow their behavior on software, this allows us an optimal analysis of complex systems in dangerous environments, and to try practical and effective solutions by simple means before moving on to the implementation and programming of actions that require more expensive means

Swedish embedded software and vertically integrated industries: an appraisal

In this paper, we use an evolutionary economic framework on knowledge management to make a first assessment of Swedish production of “embedded software”. The assessment starts by reviewing definitions and measurement techniques of software production. The reviews objective is to capture statistically relevant dimensions of software production in different countries to offer a first approximation of Swedish software production. In this paper, we focus on one type of software production, namely “embedded software”, and propose to measure it thanks to aspects of knowledge assets in vertically integrated industries. Our suggestion in this paper is to treat Swedish “embedded software production” within a classical product cycle model (Vernon, 1966). From that point of view, one can derive some characteristics relevant to industrial sectors. This paper limits itself to the link between “embedded software” and “industrial sectors” leaving the location dimension of software production for another paper1. Here, one considers (1) basic evolutionary economic characteristics on the linkage between vertical integration of the manufacturing industry and the measurement of embedded software, (2) measurement boundaries of software production regarding the existing indicators in the US, OECD and Sweden. (3) descriptive statistics on the Swedish software expenditure per industrial sectors