MQFD: A Model for Synergizing TPM and QFD

This thesis presents the methodology of linking Total Productive Maintenance (TPM) and Quality Function Deployment (QFD). The Synergic power ofTPM and QFD led to the formation of a new maintenance model named Maintenance Quality Function Deployment (MQFD). This model was found so powerful that, it could overcome the drawbacks of TPM, by taking care of customer voices. Those voices of customers are used to develop the house of quality. The outputs of house of quality, which are in the form of technical languages, are submitted to the top management for making strategic decisions. The technical languages, which are concerned with enhancing maintenance quality, are strategically directed by the top management towards their adoption of eight TPM pillars. The TPM characteristics developed through the development of eight pillars are fed into the production system, where their implementation is focused towards increasing the values of the maintenance quality parameters, namely overall equipment efficiency (GEE), mean time between failures (MTBF), mean time to repair (MTIR), performance quality, availability and mean down time (MDT). The outputs from production system are required to be reflected in the form of business values namely improved maintenance quality, increased profit, upgraded core competence, and enhanced goodwill. A unique feature of the MQFD model is that it is not necessary to change or dismantle the existing process ofdeveloping house ofquality and TPM projects, which may already be under practice in the company concerned. Thus, the MQFD model enables the tactical marriage between QFD and TPM.First, the literature was reviewed. The results of this review indicated that no activities had so far been reported on integrating QFD in TPM and vice versa. During the second phase, a survey was conducted in six companies in which TPM had been implemented. The objective of this survey was to locate any traces of QFD implementation in TPM programme being implemented in these companies. This survey results indicated that no effort on integrating QFD in TPM had been made in these companies. After completing these two phases of activities, the MQFD model was designed. The details of this work are presented in this research work. Followed by this, the explorative studies on implementing this MQFD model in real time environments were conducted. In addition to that, an empirical study was carried out to examine the receptivity of MQFD model among the practitioners and multifarious organizational cultures. Finally, a sensitivity analysis was conducted to find the hierarchy of various factors influencing MQFD in a company. Throughout the research work, the theory and practice of MQFD were juxtaposed by presenting and publishing papers among scholarly communities and conducting case studies in real time scenario.

ARMA modeling of time series based on rational approximation of spectral density function

This study is concerned with Autoregressive Moving Average (ARMA) models of time series. ARMA models form a subclass of the class of general linear models which represents stationary time series, a phenomenon encountered most often in practice by engineers, scientists and economists. It is always desirable to employ models which use parameters parsimoniously. Parsimony will be achieved by ARMA models because it has only finite number of parameters. Even though the discussion is primarily concerned with stationary time series, later we will take up the case of homogeneous non stationary time series which can be transformed to stationary time series. Time series models, obtained with the help of the present and past data is used for forecasting future values. Physical science as well as social science take benefits of forecasting models. The role of forecasting cuts across all fields of management-—finance, marketing, production, business economics, as also in signal process, communication engineering, chemical processes, electronics etc. This high applicability of time series is the motivation to this study.

Chancen und Risiken der Arbeit im E-Business

E-Business, verstanden als ganzheitliche Strategie zur Reorganisation von Geschäftsprozessen, Strukturen und Beziehungen in Unternehmen, bietet für die Arbeitsgestaltung in einer digital vernetzten Welt Chancen und Risiken in Hinblick auf die Humankriterien. Empirische Untersuchungen in 14 Unternehmen zeigen „good practice“-Ansätze im B2B-Feld (Business-to-Business). Untersucht wurden die Tätigkeiten der elektronisch vernetzten Auftragsbearbeitung, des Web-, Content-Managements, der digitalen Druckvorlagenherstellung sowie der CAD- Bauplanzeichnung. Die beobachteten Arbeitsplätze zeigen, dass Arbeitsinhalte eher ganzheitlich und komplex gestaltet sind. Planende, ausführende, kontrollierende und organisierende Anteile weisen auf eine vielfältige Aufgabengestaltung hin, die hohe Anforderungen beinhaltet. Während alle beobachteten Tätigkeiten mit Aufnahme-, Erarbeitungs-, Verarbeitungs-, Übertragungs- und Weitergabeprozessen von Informationen zu tun haben, gibt es Differenzen in Bezug auf den Arbeitsumfang, den Zeitdruck, Fristsetzungen, erwartete Arbeitsleistungen sowie die Planbarkeit der Aufgaben. Die vorgefundenen Aufgabentypen (wenig bis sehr anforderungsreich im Sinne von Denk- und Planungsanforderungen) sind gekennzeichnet durch eine unterschiedlich ausgeprägte Aufgabenkomplexität. Interessant ist, dass, je anforderungsreicher die Aufgabengestaltung, je höher die Aufgabenkomplexität, je größer die Wissensintensität und je niedriger die Planbarkeit ist, desto größer sind die Freiräume in der Aufgabenausführung. Das heißt wiederum, dass bei zunehmenden E-Business-Anteilen mehr Gestaltungsspielräume zur Verfügung stehen. Die bestehenden Chancen auf eine humane Aufgabengestaltung sind umso größer, je höher die E-Business-Anteile in der Arbeit sind. Diese Wirkung findet sich auch bei einem Vergleich der Aufgabenbestandteile wieder. Die negativen Seiten des E-Business zeigen sich in den vorgefundenen Belastungen, die auf die Beschäftigten einwirken. Diskutiert wird die Verschiebung von körperlichen hin zu psychischen und vorrangig informatorischen Belastungen. Letztere stellen ein neues Belastungsfeld dar. Ressourcen, auf welche die Mitarbeiter zurückgreifen können, sind an allen Arbeitsplätzen vorhanden, allerdings unterschiedlich stark ausgeprägt. Personale, organisationale, soziale, aufgabenbezogene und informatorische Ressourcen, die den Beschäftigten zur Verfügung stehen, werden angesprochen. In Bezug auf die Organisationsgestaltung sind positive Ansätze in den untersuchten E-Business-Unternehmen zu beobachten. Der Großteil der untersuchten Betriebe hat neue Arbeitsorganisationskonzepte realisiert, wie die vorgefundenen kooperativen Organisationselemente zeigen. Die kooperativen Organisationsformen gehen allerdings nicht mit einer belastungsärmeren Gestaltung einher. Das vorgefundene breite Spektrum, von hierarchisch organisierten Strukturen bis hin zu prozess- und mitarbeiterorientierten Organisationsstrukturen, zeigt, dass Organisationsmodelle im E-Business gestaltbar sind. Neuen Anforderungen kann insofern gestaltend begegnet und somit die Gesundheit und das Wohlbefinden der Mitarbeiter positiv beeinflusst werden. Insgesamt betrachtet, zeigt E-Business ein ambivalentes Gesicht, das auf der Basis des MTO-Modells (Mensch-Technik-Organisation) von Uhlich (1994) diskutiert wird, indem vernetzte Arbeitsprozesse auf personeller, technischer sowie organisationaler Ebene betrachtet werden. E-business, seen as more than only the transformation of usual business processes into digital ones, furthermore as an instrument of reorganisation of processes and organisation structures within companies, offers chances for a human oriented work organisation. Empirical data of 14 case studies provide good practice approaches in the field of B2B (Business-to-Business). The observed work contents show, that tasks (e.g. order processing, web-, contentmanagement, first print manufacturing and architectural drawing) are well arranged. Executive, organising, controlling and coordinating parts constitute a diversified work content, which can be organised with high demands. Interesting is the result, that the more e-business-parts are within the work contents, on the one hand the higher are the demands of the type of work and on the other hand the larger is the influence on workmanship. The observed enterprises have realised new elements of work organisation, e.g. flexible working time, cooperative leadership or team work. The direct participation of the employees can be strengthened, in particular within the transformation process. Those companies in which the employees were early and well informed about the changes coming up with e-business work, the acceptance for new technique and new processes is higher than in companies which did not involve the person concerned. Structured in an ergonomic way, there were found bad patterns of behaviour concerning ergonomic aspects, because of missing knowledge regarding work-related ergonomic expertise by the employees. E-business indicates new aspects concerning requirements – new in the field of informational demands, as a result of poorly conceived technical balance in the researched SME. Broken systems cause interruptions, which increase the pressure of time all the more. Because of the inadequate usability of software-systems there appear in addition to the informational strains also elements of psychological stress. All in all, work contents and work conditions can be shaped and as a result the health and well-being of e-business-employees can be influenced: Tasks can be structured and organised in a healthfulness way, physiological strain and psychological stress are capable of being influenced, resources are existent and developable, a human work design within e-business structures is possible. The ambivalent face of e-business work is discussed on the basis of the MTO- (Mensch-Technik-Organisation) model (Ulich 1994). Thereby new and interesting results of researches are found out, concerning the personal/human side, the technical side and the organisational side of e-business work.

Asymmetries in Business Cycles

Esta disertación busca estudiar los mecanismos de transmisión que vinculan el comportamiento de agentes y firmas con las asimetrías presentes en los ciclos económicos. Para lograr esto, se construyeron tres modelos DSGE. El en primer capítulo, el supuesto de función cuadrática simétrica de ajuste de la inversión fue removido, y el modelo canónico RBC fue reformulado suponiendo que des-invertir es más costoso que invertir una unidad de capital físico. En el segundo capítulo, la contribución más importante de esta disertación es presentada: la construcción de una función de utilidad general que anida aversión a la pérdida, aversión al riesgo y formación de hábitos, por medio de una función de transición suave. La razón para hacerlo así es el hecho de que los individuos son aversos a la pérdidad en recesiones, y son aversos al riesgo en auges. En el tercer capítulo, las asimetrías en los ciclos económicos son analizadas junto con ajuste asimétrico en precios y salarios en un contexto neokeynesiano, con el fin de encontrar una explicación teórica de la bien documentada asimetría presente en la Curva de Phillips.

Poor people and risky business

We try to explain why economic conflicts and illegal business often take place in poor countries. We use the concept of subsistence level of consumption (d) and assume a regular concave utility function for consumption levels higher than d. For consumption levels lower than d utility is constant and equal to zero. Under this framework poor agents are risk-lovers. This result helps to explain why economic conflicts are more likely to appear in poor economies and why poor agents are more willing to undertake illegal business.

Business cycle asymmentries: An investment cost approach

In this paper, investment cost asymmetry is introduced in order to test wheter this kind of asymmetry can account for asymmetries in business cycles. By using a smooth transition function, asymmetric investment cost is modeled and introduced in a canonical RBC model. Simulations of the model with Perturbations Method (PM) are very close to simulations through Parameterized Expectations Algorithm (PEA), which allows the use of the former for the sake of time reduction and computational costs. Both symmetric and asymmetric models were simulated and compared. Deterministic and stochastic impulse-response excersices revealed that it is possible to adequately reproduce asymmetric business cycles by modeling asymmetric investment costs. Simulations also showed that higher order moments are insu_cient to detect asymmetries. Instead, methods such as Generalized Impulse Response Analysis (GIRA) and Nonlinear Econometrics prove to be more e_cient diagnostic tools.

Business cycle asymmetries: Loss aversion, sticky prices, and wages

In this chapter, the Smets-Wouters (2003) New Kenesian model is reformulated by introducing the loss aversion utility function developed in chapter two. The purpose of this is to understand how asymmetric real business cycles are linked to asymmetric behavior of agents in a price and wage rigidities set up. The simulations of the model reveal not only that the loss aversion in consumption and leisure is a good mechanism channel for explaining business cycle asymmetries, but also is a good mechanism channel for explaining asymmetric adjustment of prices and wages. Therefore the existence of asymmetries in Phillips Curve. Moreover, loss aversion makes downward rigidities in prices and wages stronger and also reproduces a more severe and persistent fall of the employment. All in all, this model generates asymmetrical real business cycles, asymmetric price and wage adjustment as well as hysteresis.

Effect of fecal water on an in vitro model of colonic mucosal barrier function

Fecal water (FW) has been shown to exert, in cultured cells, cytotoxic and genotoxic effects that have implications for colorectal cancer (CRC) risk. We have investigated a further biological activity of FW, namely, the ability to affect gap junctions in CACO2 cell monolayers as an index of mucosal barrier function, which is known to be disrupted in cancer. FW samples fi-om healthy, free-living, European subjects that were divided into two broad age groups, adult (40 +/- 9.7 yr; n = 53) and elderly (76 +/- 7.5 yr; n = 55) were tested for effects on gap junction using the transepithelial resistance (TER) assay. Overall, treatment of CACO2 cells with FW samples fi-om adults increased TER (+ 4 %), whereas FW from elderly subjects decreased TER (-5%); the difference between the two groups was significant (P < 0.05). We also measured several components of FW potentially associated with modulation of TER, namely, short-chain fatty acid (SCFA) and ammonia. SCFAs (propionic, acetic, and n-butyric) were significantly lower in the elderly population (-30%, -35%, and -21%, respectively, all P pound 0.01). We consider that FW modulation of in vitro epithelial barrier function is a potentially useful noninvasive biomarker, but it requires further validation to establish its relationship to CRC risk.

Experimental design and model construction algorithms for radial basis function networks

New construction algorithms for radial basis function (RBF) network modelling are introduced based on the A-optimality and D-optimality experimental design criteria respectively. We utilize new cost functions, based on experimental design criteria, for model selection that simultaneously optimizes model approximation, parameter variance (A-optimality) or model robustness (D-optimality). The proposed approaches are based on the forward orthogonal least-squares (OLS) algorithm, such that the new A-optimality- and D-optimality-based cost functions are constructed on the basis of an orthogonalization process that gains computational advantages and hence maintains the inherent computational efficiency associated with the conventional forward OLS approach. The proposed approach enhances the very popular forward OLS-algorithm-based RBF model construction method since the resultant RBF models are constructed in a manner that the system dynamics approximation capability, model adequacy and robustness are optimized simultaneously. The numerical examples provided show significant improvement based on the D-optimality design criterion, demonstrating that there is significant room for improvement in modelling via the popular RBF neural network.

A Wiener model for memory high power amplifiers using B-spline function approximation

In this paper we introduce a new Wiener system modeling approach for memory high power amplifiers in communication systems using observational input/output data. By assuming that the nonlinearity in the Wiener model is mainly dependent on the input signal amplitude, the complex valued nonlinear static function is represented by two real valued B-spline curves, one for the amplitude distortion and another for the phase shift, respectively. The Gauss-Newton algorithm is applied for the parameter estimation, which incorporates the De Boor algorithm, including both the B-spline curve and the first order derivatives recursion. An illustrative example is utilized to demonstrate the efficacy of the proposed approach.

A model for exchange rates with crawling bands: an application to the Colombian peso

This paper builds upon previous research on currency bands, and provides a model for the Colombian peso. Stochastic differential equations are combined with information related to the Colombian currency band to estimate competing models of the behaviour of the Colombian peso within the limits of the currency band. The resulting moments of the density function for the simulated returns describe adequately most of the characteristics of the sample returns data. The factor included to account for the intra-marginal intervention performed to drive the rate towards the Central Parity accounts only for 6.5% of the daily change, which supports the argument that intervention, if performed by the Central Bank, it is not directed to push the currency towards the limits. Moreover, the credibility of the Colombian Central Bank, Banco de la República’s ability to defend the band seems low.

The variability of tropical ice cloud properties as a function of the large-scale context from ground-based radar-lidar observations over Darwin, Australia

The high complexity of cloud parameterizations now held in models puts more pressure on observational studies to provide useful means to evaluate them. One approach to the problem put forth in the modelling community is to evaluate under what atmospheric conditions the parameterizations fail to simulate the cloud properties and under what conditions they do a good job. It is the ambition of this paper to characterize the variability of the statistical properties of tropical ice clouds in different tropical "regimes" recently identified in the literature to aid the development of better process-oriented parameterizations in models. For this purpose, the statistical properties of non-precipitating tropical ice clouds over Darwin, Australia are characterized using ground-based radar-lidar observations from the Atmospheric Radiation Measurement (ARM) Program. The ice cloud properties analysed are the frequency of ice cloud occurrence, the morphological properties (cloud top height and thickness), and the microphysical and radiative properties (ice water content, visible extinction, effective radius, and total concentration). The variability of these tropical ice cloud properties is then studied as a function of the large-scale cloud regimes derived from the International Satellite Cloud Climatology Project (ISCCP), the amplitude and phase of the Madden-Julian Oscillation (MJO), and the large-scale atmospheric regime as derived from a long-term record of radiosonde observations over Darwin. The vertical variability of ice cloud occurrence and microphysical properties is largest in all regimes (1.5 order of magnitude for ice water content and extinction, a factor 3 in effective radius, and three orders of magnitude in concentration, typically). 98 % of ice clouds in our dataset are characterized by either a small cloud fraction (smaller than 0.3) or a very large cloud fraction (larger than 0.9). In the ice part of the troposphere three distinct layers characterized by different statistically-dominant microphysical processes are identified. The variability of the ice cloud properties as a function of the large-scale atmospheric regime, cloud regime, and MJO phase is large, producing mean differences of up to a factor 8 in the frequency of ice cloud occurrence between large-scale atmospheric regimes and mean differences of a factor 2 typically in all microphysical properties. Finally, the diurnal cycle of the frequency of occurrence of ice clouds is also very different between regimes and MJO phases, with diurnal amplitudes of the vertically-integrated frequency of ice cloud occurrence ranging from as low as 0.2 (weak diurnal amplitude) to values in excess of 2.0 (very large diurnal amplitude). Modellers should now use these results to check if their model cloud parameterizations are capable of translating a given atmospheric forcing into the correct statistical ice cloud properties.

Exploring behavioural change through an agent-oriented system dynamics model: the use of personal protective equipment among pesticide applicators in Colombia

The misuse of Personal Protective Equipment results in health risk among smallholders in developing countries, and education is often proposed to promote safer practices. However, evidence point to limited effects of education. This paper presents a System Dynamics model which allows the identification of risk-minimizing policies for behavioural change. The model is based on the IAC framework and survey data. It represents farmers' decision-making from an agent-oriented standpoint. The most successful intervention strategy was the one which intervened in the long term, targeted key stocks in the systems and was diversified. However, the results suggest that, under these conditions, no policy is able to trigger a self sustaining behavioural change. Two implementation approaches were suggested by experts. One, based on constant social control, corresponds to a change of the current model's parameters. The other, based on participation, would lead farmers to new thinking, i.e. changes in their decision-making structure.

The design of a semantics-oriented organisational performance measurement system

Current methods and techniques used in designing organisational performance measurement systems do not consider the multiple aspects of business processes or the semantics of data generated during the lifecycle of a product. In this paper, we propose an organisational performance measurement systems design model that is based on the semantics of an organisation, business process and products lifecycle. Organisational performance measurement is examined from academic and practice disciplines. The multi-discipline approach is used as a research tool to explore the weaknesses of current models that are used to design organisational performance measurement systems. This helped in identifying the gaps in research and practice concerning the issues and challenges in designing information systems for measuring the performance of an organisation. The knowledge sources investigated include on-going and completed research project reports; scientific and management literature; and practitioners’ magazines.