Manufacturing systematics and cladistics: state of the art and generic classification

Purpose: This paper critically evaluates the state of the art of applications of organisational systematics and manufacturing cladistics in terms of strengths and weaknesses and introduces new generic cladistic and hierarchical classifications of discrete manufacturing systems. These classifications are the basis for a practical web-based expert system and diagnostic benchmarking tool. Design/methodology/approach: There were two stages for the Research Methods, with eight re-iterative steps: one for theory building, using secondary and observational data, producing conceptual classifications; the second stage for theory testing and theory development, using quantitative data from 153 Companies and 510 manufacturing systems, producing the final factual cladogram. Evolutionary relationships between fifty-three candidate manufacturing systems, using thirteen characters with eighty-four states, are hypothesised and presented diagrammatically. The manufacturing systems are also organised in a hierarchical classification with thirteen genera, six families and Three orders under one class of discrete manufacturing. Findings: This work addressed several weaknesses of current manufacturing cladistic classifications which include the lack of an explicit out-group comparison, Limited conceptual cladogram Development, Limited use of characters and that previous classifications are specific to sectors. In order to correct these limitations, the paper firstly expands on previous work by producing a more generic manufacturing system classification. Secondly, it describes a novel web-based expert system for the practical Application of the discrete manufacturing system. Practical implications: The classifications form the basis for a practical web-based expert system and diagnostic benchmarking tool, but also have a novel use in an educational context as it simplifies and relationally organises extant manufacturing system knowledge. Originality/value: The Research employed a novel re-iterative methodology for both theory building, using observational data, producing the conceptual classification, and through theory testing developing the final factual cladogram that forms the basis for the practical web-based expert system and diagnostic tool

Evolution: Complexity, uncertainty and innovation

Complexity science provides a general mathematical basis for evolutionary thinking. It makes us face the inherent, irreducible nature of uncertainty and the limits to knowledge and prediction. Complex, evolutionary systems work on the basis of on-going, continuous internal processes of exploration, experimentation and innovation at their underlying levels. This is acted upon by the level above, leading to a selection process on the lower levels and a probing of the stability of the level above. This could either be an organizational level above, or the potential market place. Models aimed at predicting system behaviour therefore consist of assumptions of constraints on the micro-level – and because of inertia or conformity may be approximately true for some unspecified time. However, systems without strong mechanisms of repression and conformity will evolve, innovate and change, creating new emergent structures, capabilities and characteristics. Systems with no individual freedom at their lower levels will have predictable behaviour in the short term – but will not survive in the long term. Creative, innovative, evolving systems, on the other hand, will more probably survive over longer times, but will not have predictable characteristics or behaviour. These minimal mechanisms are all that are required to explain (though not predict) the co-evolutionary processes occurring in markets, organizations, and indeed in emergent, evolutionary communities of practice. Some examples will be presented briefly

The evolution of manufacturing SPECIES

This research aims to develop hierarchical and cladistic classifications of manufacturing system evolution, incorporating evolving and interacting product, process and production system features. The objectives then are to systematically organise manufacturing systems and their characteristics in classifications Forty-six candidate species of manufacturing systems have been identified and organised in a 4th generation hierarchical classification with 14 ‘genera’, 6 ‘families’ 3 ‘orders’ and 1 ‘class’ of discrete manufacturing. The accompanying cladistic classification hypothesises the evolutionary history of manufacturing, using ‘descriptors’ drawn from a library of 12 characters and 66 states. These are consistent and synthesise many of the established typologies in the literature

A Heavy Flavor Tracker for STAR

The STAR Collaboration proposes to construct a state-of-the-art microvertex detector,the Heavy Flavor Tracker (HFT), utilizing active pixel sensors and silicon strip technology. The HFT will significantly extend the physics reach of the STAR experiment for precision measurement of the yields and spectra of particles containing heavy quarks. This will be accomplished through topological identification of D mesons by reconstruction of their displaced decay vertices with a precision of approximately 50 mu m in p+p, d+A, and A+A collisions. The HFT consists of 4 layers of silicon detectors grouped into two sub-systems with different technologies, guaranteeing increasing resolution when tracking from the TPC and the Silicon Strip Detector (SSD) towards the vertex of the collision. The Intermediate Silicon Tracker (IST), consisting of two layers of single-sided strips, is located inside the SSD. Two layers of Silicon Pixel Detector (PIXEL) are inside the IST. The PIXEL detectors have the resolution necessary for a precision measurement of the displaced vertex. The PIXEL detector will use CMOS Active Pixel Sensors (APS), an innovative technology never used before in a collider experiment. The APSsensors are only 50 mu m thick and at a distance of only 2.5 cm from the interaction point. This opens up a new realm of possibilities for physics measurements. In particular, a thin detector (0.28percent radiation length per layer) in STAR makes it possible to do the direct topological reconstruction of open charm hadrons down to very low pT by the identification of the charged daughters of the hadronic decay

Innovation in manufacturing as an evolutionary complex system

The focus of this paper is on innovation in terms of the new product development processes and to discuss its main features. This is followed by a presentation of the new ideas emerging from complex systems science. It is then demonstrated how complex systems provides an overall conceptual framework for thinking about innovation and for considering how this helps to provide understanding and advice for the organisation of new product development in different circumstances. Three case studies are quoted which illustrate the application of these new ideas

New Product Development as a Complex Adaptive System of Decisions

Early research on new product development (NPD) has produced descriptive frameworks and models that view the process as a linear system with sequential and discrete stages. More recently, recursive and chaotic frameworks of NPD have been developed, both of which acknowledge that NPD progresses through a series of stages, but with overlaps, feedback loops, and resulting behaviors that resist reductionism and linear analysis. This article extends the linear, recursive, and chaotic frameworks by viewing NPD as a complex adaptive system (CAS) governed by three levels of decision making—in-stage, review, and strategic—and the accompanying decision rules. The research develops and presents propositions that predict how the configuration and organization of NPD decision-making agents will influence the potential for three mutually dependent CAS phenomena: nonlinearity, self-organization, and emergence. Together these phenomena underpin the potential for NPD process adaptability and congruence. To support and to verify the propositions, this study uses comparative case studies, which show that NPD process adaptability occurs and that it is dependent on the number and variety of agents, their corresponding connections and interactions, and the ordering or disordering effect of the decision levels and rules. Thus, the CAS framework developed within this article maintains a fit among descriptive stance, system behavior, and innovation type, as it considers individual NPD processes to be capable of switching or toggling between different behaviors—linear to chaotic—to produce corresponding innovation outputs that range from incremental to radical in accord with market expectations

Physical fitness and sport activity of children and adolescents: methodological aspects of a regional survey

Measurement of physical fitness and physical activity in children and adolescents raise a lot of methodological issues, explaining the scarcity of surveys in European countries and in Switzerland. This article exposes the design and the methods used in a survey on physical fitness, physical activity and health conducted in a region of Switzerland, and discuss the choice of the instruments and the quality control procedure selected to measure physical activity and physical fitness. The survey was conducted in a sample of 3540 students 9-19 years-old and included a battery of physical fitness tests, anthropometrics measurements and a self-report questionnaire on physical activity, sports activity and life styles. An ancillary study in a sub sample assessed daily physical activity with a pedometer, dietary intake with a 3-day dietary record, serum lipids and nutritional status. Some results are displayed as example. Quality control techniques are exposed and the choice of the instrument to assess physical fitness, physical activity, sports, and dietary intake are discussed. Local reference tables are now available for fitness tests and the practicability of fitness testing has been demonstrated in physical education. The research process has induced the sensitisation of schools toward health promotion through physical activity