...a quarter of a century ago I was led to the doctrine and maxim of right thinking that, if we search out all the practical consequences of a conception, we have in their aggregate the entire meaning of that conception. This doctrine, known as pragmatism, has certainly found some redoubtable defenders. Of the immediate utility of the maxim in the study of philosophy, nobody who has had experience in such use of it is ever likely to speak lightly. I believe, too, that it suggests a conception of the nature of intellect, and a theory of the relation of thought to the body, from which psychologists have still something to learn.

Pragmatism의 眞理論 小考

Over the past decade, goal models have been used in Computer Science in order to represent software requirements, business objectives and design qualities. Such models extend traditional AI planning techniques for representing goals by allowing for partially defined and possibly inconsistent goals. This paper presents a formal framework for reasoning with such goal models. In particular, the paper proposes a qualitative and a numerical axiomatization for goal modeling primitives and introduces label propagation algorithms that are shown to be sound and complete with respect to their respective axiomatizations. In addition, the paper reports on preliminary experimental results on the propagation algorithms applied to a goal model for a US car manufacturer.

Reasoning with goal models

A Strategy of Decision: Policy Evaluation As a Social Process.

At the core of the analysis task in the development process is information systems requirements modelling. Modelling of requirements has been occurring for many years and the techniques used have progressed from flowcharting through data flow diagrams and entity-relationship diagrams to object-oriented schemas today. Unfortunately, researchers have been able to give little theoretical guidance only to practitioners on which techniques to use and when. In an attempt to address this situation, Wand and Weber have developed a series of models based on the ontological theory of Mario Bunge—the Bunge–Wand–Weber (BWW) models. Two particular criticisms of the models have persisted however—the understandability of the constructs in the BWW models and the difficulty in applying the models to a modelling technique. This paper addresses these issues by presenting a meta model of the BWW constructs using a meta language that is familiar to many IS professionals, more specific than plain English text, but easier to understand than the set-theoretic language of the original BWW models. Such a meta model also facilitates the application of the BWW theory to other modelling techniques that have similar meta models defined. Moreover, this approach supports the identification of patterns of constructs that might be common across meta models for modelling techniques. Such findings are useful in extending and refining the BWW theory.

Developing a meta model for the Bunge–Wand–Weber ontological constructs

This chapter describes aspects of a Requirements Modeling Language (RML) which can be used in the initial phases of software development. RML is based on the idea that a requirements specification should embody a conceptual world model, and that the language for expressing it should provide facilities for organizing and abstracting details, yet at the same time have qualities such as precision, consistency, and unambiguity.

A Requirements Modeling Language and Its Logic.

The paper summarizes the results of research on the modeling and implementation of ad- vanced planning and scheduling (APS) systems done in recent twenty years It discusses the concept of APS system - how it is thought of today - and highlights the modeling and implementation chal- lenges with which the developers of such systems should cope Some from these challenges were identified as a result of the study of scientific literature, others - through an in-depth analysis of the experience gained during the development of real-world APS system - a Production Efficiency Navigator (PEN system) The paper contributes to APS systems theory by proposing the concept of an ensemble of collaborating algorithms

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Advanced Planning and Scheduling Systems: Modeling and Implementation Challenges

This paper discusses a shared conceptualisation of business systems, information systems and supporting software. The main idea is to think of all above listed systems as different kinds of an abstract operational system. The paper proposes also a shared conceptualisation of business engineering, information systems engineering and supporting software engineering processes on the basis of systems engineering. The proposed approach enables to define all above listed systems in unified manner and to develop unified enterprise engineering environment that increases the reliability of design of enterprise systems because of the possibility to check consistency between business, information and software systems.

Shared Conceptualisation of Business Systems, Information Systems and Supporting Software

The symbiosis between an enterprise architecture and service-oriented architecture results in so-called service-oriented enterprise architecture and brings up new problems for service-oriented enterprise systems engineering. One of the most important is a business service quality definition, specification and evaluation. The paper proposes a formal model of enterprise business service quality evaluation framework to encompass and balance all the viewpoints and perspectives on an enterprise business service quality.

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A Model of View-Based Enterprise Business Service Quality Evaluation Framework

The paper proposes a novel predictive-reactive planning and scheduling framework in which both approaches are combined to complement each other in a reasonably balanced way. Neither original scheduling algorithms nor original techniques can be find in this paper. It also does not intend to invent new mechanisms or to propose some cardinally new ideas. The aim is to choose, adapt and test ideas, mechanisms and algorithms already proposed by other researchers. The focus of this research is set on make-to-order production environments. The proposed approach aims not only to absorb disruptions in shop floor level schedules but also to mitigate the impacts of potential exceptions, which disrupt mid-term level production plans. It is based on application of risk mitigation techniques and combines various simulation techniques extended by optimization procedures. The proposed approach is indented to be implemented in Advanced Planning and Scheduling system, which is an add-on for Enterprise Resources Planning system. To make it easier to understand the focus of the paper, at the beginning the position from which we start is clarified.

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Processing of Undesirable Business Events in Advanced Production Planning Systems

One of the results of the evolution of business process management (BPM) is the development of information technology (IT), methodologies and software tools to manage all types of processes – from traditional, structured processes to unstructured processes, for which it is not possible to define a detailed flow as a sequence of tasks to be performed before implementation. The purpose of the article is to present the evolution of intelligent BPM systems (iBPMS) and dynamic case management/adaptive case management systems (DCMS/ACMS) and show that they converge into one class of systems, additionally absorbing new emerging technologies such as process mining, robotic process automation (RPA), or machine learning/artificial intelligence (ML/AI). The content of research reports on iBPMS and DCMS systems by Gartner and Forrester consulting companies from the last 10 years was analysed. The nature of this study is descriptive and based solely on information from secondary data sources. It is an argumentative paper, and the study serves as the arguments that relate to the main research questions. The research results reveal that under business pressure, the evolution of both classes of systems (iBPMS and DCMS/ACMS) tends to cover the functionality of the same area of requirements by enabling the support of processes of different nature. This de facto means the creation of one class of systems, although for marketing reasons, some vendors will still offer separate products for some time to come. The article shows that the main driver of unified software system development is not the new possibilities offered by IT, but the requirements imposed on BPM by the increasingly stronger impact of knowledge management (KM) with regard to the way business processes are executed. Hence the anticipation of the further evolution of methodologies and BPM supporting systems towards integration with KM and elements of knowledge management systems (KMS). This article presents an original view on the features and development trends of software systems supporting BPM as a consequence of knowledge economy (KE) requirements in accordance with the concept of dynamic BPM.

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Audrone Lupeikiene

Papers

Advanced Planning and Scheduling Systems: Modeling and Implementation Challenges

Shared Conceptualisation of Business Systems, Information Systems and Supporting Software

A Model of View-Based Enterprise Business Service Quality Evaluation Framework

Processing of Undesirable Business Events in Advanced Production Planning Systems

Business Process Management Systems: Evolution and Development Trends