To implement business process redesign several best practices can be distinguished. This paper gives an overview of heuristic rules that can support practitioners to develop a business process design that is a radical improvement of a current design. The emphasis is on the mechanics of the process, rather than on behavioral or change management aspects. The various best practices are derived from a wide literature survey and supplemented with experiences of the authors. To evaluate the impact of each best practice along the dimensions of cost, flexibility, time and quality, a conceptual framework is presented that synthesizes views from areas such as information systems development, enterprise modeling and workflow management. The best practices are thought to have a wide applicability across various industries and business processes. They can be used as a “check list” for process redesign under the umbrella of diverse management approaches such as Total Cycle Time compression, the Lean Enterprise and Constraints Management.

/pdf/best-practices-in-business-process-redesign-an-overview-and-4011djg4w5.pdf

Best practices in business process redesign: an overview and qualitative evaluation of successful redesign heuristics

This survey makes a review of the most recent applications and trends on fuzzy cognitive maps (FCMs) over the past decade. FCMs are inference networks, using cyclic digraphs, for knowledge representation and reasoning. Over the past decade, FCMs have gained considerable research interest and are widely used to analyze causal complex systems, which have originated from the combination of fuzzy logic and neural networks. FCMs have been applied in diverse application domains, such as computer science, engineering, environmental sciences, behavioral sciences, medicine, business, information systems, and information technology. Their dynamic characteristics and learning capabilities make them essential for a number of tasks such as modeling, analysis, decision making, forecast, etc. Overall, this paper summarizes the current state of knowledge of the topic of FCMs. It creates an understanding of the topic for the reader by discussing the findings presented in recent research papers. A survey on FCM studies concentrated on FCM applications on diverse scientific areas, where the FCMs emerged with a high degree of applicability, has also been done during the past ten years.

A Review of Fuzzy Cognitive Maps Research During the Last Decade

/pdf/structured-systems-analysis-tools-and-techniques-2c0ut9tro9.pdf

Structured Systems Analysis: Tools and Techniques

Requirements capture is arguably the most important step in software engineering, and yet the most difficult and the least formalized one [Phalp and Shepperd 2000] Enterprises build information systems to support their business processes Software engineering research has typically focused on the development process, starting with user requirements—if that—with business modeling often confused with software system modeling [Isoda 2001] Researchers and practitioners in management information systems have long recognized that understanding the business processes that an information system must support is key to eliciting the needs of its users (see eg, Eriksson and Penker 2000]), but lacked the tools to model such business processes or to relate such models to software requirements Researchers and practitioners in business administration have long been interested in modeling the processes of organizations for the purposes of understanding, analyzing, and improving such processes [Hammer and Champy 1993], but their models were often too coarse to be of use to software engineers The advent of ecommerce and workflow management systems, among other things, has led to a convergence of interests and tools, within the broad IT community, for modeling and enabling business processes In this article we present an overview of business process modeling languages We first propose a categorization of the various languages and then describe representative languages from each family

Business process modeling languages: Sorting through the alphabet soup

This book presents survey results on priority ranking of watershed management criteria. This survey was completed by 30 undergraduate and postgraduate students from Faculty of Civil Engineering, Universiti Teknologi Malaysia. The students were registered in various programs run by the Faculty in Semester 1, 2012. The applications of three weighting methods namely rating, ranking, and ratio are discussed in the book. We have also done data mining on some keywords using three popular scholar databases. These databases include sciencedirect, scopus, and sciverse. Four abbreviated keywords (MCDM, MCDA, MCA, MADM) used to represent multi-criteria decision-making were used and these three databases were searched for different popular weighting methods for a period of 13 years (2000–2012). The findings of data mining are presented in this book. Overall, this book presents a review of weighting methods applied in various multi-criteria decision-making (MCDM) methods.

Weighting Methods and their Effects on Multi-Criteria Decision Making Model Outcomes in Water Resources Management

In the existing BPR methodologies there exists a big division in business analysis techniques due to the black and white approach used in most cases. In some of them, cost is the central issue, in others generic management or the successful use of IT. As a result business analysis techniques are directed towards this central issue ignoring any other means of analysis. Agent relationship morphism analysis (ARMA) is a BRP methodology that applies different analysis techniques from various disciplines in different perspectives. These techniques are influenced from organizational theories, IS development and existing work in BPR giving business analysis a more holistic approach. The main focus of business analysis in ARMA is the analysis of the business models with a view of developing solutions for the subsequent stage of redesign. The emphasis is on why the operations and processes of the organization are performed the way they are performed. The aim is to develop solutions that enhance the levels of effici...

Business analysis metrics for business process redesign

This paper describes a methodology for the development of a proactive balanced scorecard (PBSCM). The balanced scorecard is one of the most popular approaches developed in the field of performance measurement. However, in spite of its reputation, there are issues that require further research. The present research addresses the problems of the balanced scorecard by utilizing the soft computing characteristics of fuzzy cognitive maps (FCMs). By using FCMs, the proposed methodology generates a dynamic network of interconnected key performance indicators (KPI), simulates each KPI with imprecise relationships and quantifies the impact of each KPI to other KPIs in order to adjust targets of performance.

A Proactive Fuzzy Cognitive Balanced Scorecard

This paper describes a model for software reliability prediction. The output is a ‘forward-looking’ model, which helps testers to predict and manage software reliability. Despite the availability of various approaches developed in the field of software reliability, there are still issues that require further research in order to succeed in supporting the decision making process and improving software quality. In the present paper we propose the use of Fuzzy Cognitive Maps (FCMs) as an approach to modelling of software reliability. FCMs capture information in the relationships between concepts, are dynamic, express hidden relationships, and are combinable and tunable. Preliminary experiments indicate that the proposed mechanism forms a sound support aid for software reliability modelling.

Software Reliability Modelling Using Fuzzy Cognitive Maps

BPR methodologies should justify their capability for understanding an organization's strategy, business structure and processes. For this reason techniques that provide understanding of the current and future desired positions of the organization and the discrepancy between them as well as consistent business modelling techniques are required. One of the main drawbacks of existing business modelling methodologies is the lack of theoretical underpining associated with the concepts used in business modelling. This paper presents a BPR methodology called agent relationship morphism analysis (ARMA) that goes beyond the limitations of the existing BPR methodologies taking a holistic view of the organization. In ARMA the modelling of the business environment is achieved with the use of three perspectives: the structural, behavioural and process. A technique called agent relationship modelling (ARM) has been developed for modelling the structural perspective. The more dynamic organizational concepts are described in the behavioural and process perspectives. These perspectives are modelled in a technique called agent/object lifecycles (ALCs/OLCs).

Management science semantics for object-oriented business modelling in BPR

Process thinking has expanded in recent years mainly due to the need for improved quality of operations. As a result, there is a growing need for business modelling and analysis techniques that provide justification for understanding and analysis of the organizational environment with the aim of developing appropriate solutions for redesign. There is a lack of a systematic approach that can lead a process redesigner through a series of steps for the achievement of process redesign. Most of the existing methodologies are based either on real-life experience with little attention to the modelling and analysis of the business environment or vice versa. In this paper we present a manufacturing company case study describing a specific framework for business modelling and analysis. Copyright © 2000 John Wiley & Sons, Ltd.

A case study on reengineering manufacturing processes and structures

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