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Article
Publication date: 1 June 2021

Okechukwu Bruno-Kizito Nwadigo, Nicola Naismith, Ali GhaffarianHoseini, Amirhosein GhaffarianHoseini and John Tookey

Dynamic planning and scheduling forms a widely adopted smart strategy for solving real-world problems in diverse business systems. This paper uses deductive content analysis to…

Abstract

Purpose

Dynamic planning and scheduling forms a widely adopted smart strategy for solving real-world problems in diverse business systems. This paper uses deductive content analysis to explore secondary data from previous studies in dynamic planning and scheduling to draw conclusions on its current status, forward action and research needs in construction management.

Design/methodology/approach

The authors searched academic databases using planning and scheduling keywords without a periodic setting. This research collected secondary data from the database to draw an objective comparison of categories and conclusions about how the data relates to planning and scheduling to avoid the subjective responses from questionnaires and interviews. Then, applying inclusion and exclusion criteria, we selected one hundred and four articles. Finally, the study used a seven-step deductive content analysis to develop the categorisation matrix and sub-themes for describing the dynamic planning and scheduling categories. The authors used deductive analysis because of the secondary data and categories comparison. Using the event types represented in a quadrant mapping, authors delve into where, when, application and benefits of the classes.

Findings

The content analysis showed that all the accounts and descriptions of dynamic planning and scheduling are identifiable in an extensive research database. The content analysis reveals the need for multi-hybrid (4D BIM-Agent based-discrete event-discrete rate-system dynamics) simulation modelling and optimisation method for proffering solutions to scheduling and planning problems, its current status, tools and obstacles.

Originality/value

This research reveals the deductive content analysis talent in construction research. It also draws direction, focuses and raises a question on dynamic planning and scheduling research concerning the five-integrated model, an opportunity for their integration, models combined attributes and insight into its solution viability in construction.

Details

Smart and Sustainable Built Environment, vol. 11 no. 4
Type: Research Article
ISSN: 2046-6099

Keywords

Article
Publication date: 1 June 2010

Vesselin Petrov

The paper aims to investigate what is the best ontological framework of anticipatory systems. Its aim is to argue the thesis that the ontology on which anticipatory systems are

1017

Abstract

Purpose

The paper aims to investigate what is the best ontological framework of anticipatory systems. Its aim is to argue the thesis that the ontology on which anticipatory systems are based should be a dynamic one: a kind of process ontology. It seeks to include a demonstration of the fruitfulness of such an ontological framework for the investigation of anticipatory systems.

Design/methodology/approach

The methodology of the paper is a process ontological one. The objectives are achieved by a comparative analysis of the static and dynamic approaches to the ontological framework.

Findings

A process ontological framework is a reliable basis for the substantiation of the thesis that there is no great gap between living and non‐living systems as far as anticipation is concerned.

Practical implications

An example is represented of an anticipatory non‐living system that is artificially created and is programmed as a self‐control system. In this respect the paper has some practical implications.

Originality/value

A new approach is suggested to the investigation of anticipatory systems. It could be of interest not only for philosophers, but also for scientists who work on ontology as technology.

Details

Foresight, vol. 12 no. 3
Type: Research Article
ISSN: 1463-6689

Keywords

Article
Publication date: 16 October 2009

Yu‐xiang Zhang

The purpose of this paper is to give broad‐spectrum analysis of general system theory, including the researching approach – dynamic structure approach, the study on general object…

491

Abstract

Purpose

The purpose of this paper is to give broad‐spectrum analysis of general system theory, including the researching approach – dynamic structure approach, the study on general object system by broad‐spectrum analysis, and the study of general cognitive system by broad‐spectrum analysis, etc.

Design/methodology/approach

The theoretical basis of broad‐spectrum analysis is dynamic structuralism, which, therefore, leads to the fact that its methodology is dynamic structural methodology, including that from the perspective of generalized structure, that from the dynamic perspective (the fluxional viewpoint of structure and the transforming viewpoint of structure).

Findings

Generalized structural models of general object system (including general thing system and general dynamic system, general cognitive system and general value system) are given in this paper. It shows a unique perspective of broad‐spectrum analysis, its close relationship with general system theory and the viewpoints of many questions in general system.

Research limitations/implications

The details of the structural models in this paper have to be worked out.

Practical implications

The methodological principle for us to analyze, study, optimize, and control the general system is provided.

Originality/value

Generalized structural models of this paper originate from pansystem methodology and discrete mathematics. This paper has the value of methodology for those who are studying general systems.

Details

Kybernetes, vol. 38 no. 10
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 1 August 2004

D. Dutta Majumder and Kausik Kumar Majumdar

In this paper, we present a brief study on various paradigms to tackle complexity or in other words manage uncertainty in the context of understanding science, society and nature…

1083

Abstract

In this paper, we present a brief study on various paradigms to tackle complexity or in other words manage uncertainty in the context of understanding science, society and nature. Fuzzy real numbers, fuzzy logic, possibility theory, probability theory, Dempster‐Shafer theory, artificial neural nets, neuro‐fuzzy, fractals and multifractals, etc. are some of the paradigms to help us to understand complex systems. We present a very detailed discussion on the mathematical theory of fuzzy dynamical system (FDS), which is the most fundamental theory from the point of view of evolution of any fuzzy system. We have made considerable extension of FDS in this paper, which has great practical value in studying some of the very complex systems in society and nature. The theories of fuzzy controllers, fuzzy pattern recognition and fuzzy computer vision are but some of the most prominent subclasses of FDS. We enunciate the concept of fuzzy differential inclusion (not equation) and fuzzy attractor. We attempt to present this theoretical framework to give an interpretation of cyclogenesis in atmospheric cybernetics as a case study. We also have presented a Dempster‐Shafer's evidence theoretic analysis and a classical probability theoretic analysis (from general system theoretic outlook) of carcinogenesis as other interesting case studies of bio‐cybernetics.

Details

Kybernetes, vol. 33 no. 7
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 31 July 2021

Jianyu Zhao, Shengliang Li, Xi Xi and Caiyan Gong

Because the discontinuous and uncertain characteristics of knowledge-based innovation cannot be reasonably interpreted by conventional management approaches, quantum mechanics…

Abstract

Purpose

Because the discontinuous and uncertain characteristics of knowledge-based innovation cannot be reasonably interpreted by conventional management approaches, quantum mechanics which begins with uncertainty and concerns with a dynamic process of the complex system, has been exploratorily used in the management field. Although the theoretical new insights are provided by pioneering studies, quantitative research is in short supply. This paper aims to propose a quantum mechanics-based framework for quantitative research, thus extending the application of quantum mechanics in the knowledge management area from a dynamic system evolutionary standpoint.

Design/methodology/approach

Based on the similarity comparison between knowledge-based system evolution and atomic motion, the authors construct the atom-like structure of the knowledge-based system and elaborate the evolutionary mechanism of the knowledge-based system, thereby establishing the quantitative model. Apple and Zhongxing Telecom Equipment were selected for an empirical study to demonstrate the usefulness of the models for research on knowledge-based innovation and explore the unique knowledge-based innovation characteristics of the two firms.

Findings

First, the transition force of dynamic knowledge shows an inverted U shape; accumulating dynamic knowledge to a moderate degree not only facilitates transforming dynamic knowledge into static knowledge but also balances the relationship between the influence of knowledge force range and dynamic knowledge transformation. Second, existing knowledge is gradually substituted by new knowledge and knowledge density at a high knowledge energy level distinctly increases with a narrower bandwidth. Third, the investment loss is associated with resource configuration, resource utilization and the amount of accumulative dynamic knowledge before investment. Knowledge loss is negatively correlated with the knowledge compatibility coefficient.

Research limitations/implications

The authors use the advanced method in quantum mechanics to legitimately unveil the emergence mechanism of knowledge-based innovation. Meanwhile, the authors capture the non-linear transformation relationship of heterogeneous knowledge and expose the change in ways of both investment loss and knowledge loss that cannot be quantified by conventional models. In doing so, the authors not only reveal the principle of qualitative knowledge change but also offer practical implications for developing flexible and targeted innovation strategies.

Originality/value

First, by proposing a complete quantum mechanics-based framework, the authors not only supplement the quantitative research contents to knowledge-based innovation literature which proposed calls to conduct research in way of quantum mechanics but also overcome the difficulties of knowledge-based system conceptualization and measurement. Second, the authors reveal the uncertain change of knowledge transformation and measure the loss of investment and knowledge, which contribute to identifying defects of firms in knowledge-based innovation. Third, the authors explore the internal mechanism that led to knowledge-based innovation exhibits non-linear characteristics and capture unique dynamic relationships between different variables which affect the emergence of knowledge-based innovation.

Details

Journal of Knowledge Management, vol. 26 no. 3
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 8 April 2021

Jagan Mohan Reddy K., Neelakanteswara Rao A., Krishnanand Lanka and PRC Gopal

Pull production systems have received much attention in the supply chain management environment. The number of Kanbans is a key decision variable in the pull production system as…

Abstract

Purpose

Pull production systems have received much attention in the supply chain management environment. The number of Kanbans is a key decision variable in the pull production system as it affects the finished goods inventory (FGI) and backorders of the system. The purpose of this study is to compare the performance of the fixed and dynamic Kanban systems in terms of operational metrics (FGI and backorders) under the demand uncertainty.

Design/methodology/approach

In this paper, the system dynamics (SD) approach was used to model the performance of fixed and dynamic Kanban based production systems. SD approach has enabled the feedback mechanism and is an appropriate tool to incorporate the dynamic control during the simulation. Initially, a simple Kanban based production system was developed and then compared the performance of production systems with fixed and dynamic controlled Kanbans at the various demand scenarios.

Findings

From the present study, it is observed that the dynamic Kanban system has advantages over the fixed Kanban system and also observed that the variation in the backorders with respect to the demand uncertainty under the dynamic Kanban system is negligible.

Research limitations/implications

In a just-in-time production system, the number of Kanbans is a key decision variable. The number of Kanbans is mainly depended on the demand, cycle time, safety stock factor (SSF) and container size. However, this study considered only demand uncertainty to compare the fixed and dynamic Kanban systems. This paper further recommends researchers to consider other control variables which may influence the number of Kanbans such as cycle time, SSF and container size.

Originality/value

This study will be useful to decision-makers and production managers in the selection of the Kanban systems in uncertain demand applications.

Details

Journal of Modelling in Management, vol. 18 no. 1
Type: Research Article
ISSN: 1746-5664

Keywords

Article
Publication date: 6 August 2020

Mojtaba Talafidaryani

While the dynamic capabilities perspective is the most cited strategic theory in the information systems field of research, little effort has been made to review and integrate the…

1863

Abstract

Purpose

While the dynamic capabilities perspective is the most cited strategic theory in the information systems field of research, little effort has been made to review and integrate the associate literature of this perspective in the field. Accordingly, this paper aims to systematically analyze the information systems literature on dynamic capabilities and provide a holistic understanding of the topical composition and trend of dynamic capabilities studies in information systems research.

Design/methodology/approach

Using latent Dirichlet allocation as the text analysis algorithm, the author conducted a topic modeling of the dynamic capabilities corpus in the information systems field of research to quantitatively review, summarize and classify the prior literature. The review covered 191 articles published on dynamic capabilities between 1998 and 2018 in pioneering information systems journals and conference proceedings.

Findings

In accordance with the topic modeling results, the topical composition of the dynamic capabilities corpus in information systems research dominantly includes seven themes titled T1. Information systems value, T2. Information systems change, T3. Digitalization, T4. Information systems agility, T5. Big data, T6. Information systems innovation and T7. Information systems alignment. Also, the overall and topical trend of dynamic capabilities studies in the information systems field of research were revealed. The trends indicated that the investigated domain and its prominent sub-domains have generally had positive productivity over the past years.

Originality/value

The current study contributes to the domain by developing knowledge and improving literature on dynamic capabilities in information systems research, discovering the main topics of interest for information systems researchers to deploying the dynamic capabilities perspective in their studies, and prioritizing the future information systems research on dynamic capabilities based on the identified trends of topics.

Article
Publication date: 10 January 2024

Tingwei Gu, Shengjun Yuan, Lin Gu, Xiaodong Sun, Yanping Zeng and Lu Wang

This paper aims to propose an effective dynamic calibration and compensation method to solve the problem that the statically calibrated force sensor would produce large dynamic…

Abstract

Purpose

This paper aims to propose an effective dynamic calibration and compensation method to solve the problem that the statically calibrated force sensor would produce large dynamic errors when measuring dynamic signals.

Design/methodology/approach

The dynamic characteristics of the force sensor are analyzed by modal analysis and negative step dynamic force calibration test, and the dynamic mathematical model of the force sensor is identified based on a generalized least squares method with a special whitening filter. Then, a compensation unit is constructed to compensate the dynamic characteristics of the force measurement system, and the compensation effect is verified based on the step and knock excitation signals.

Findings

The dynamic characteristics of the force sensor obtained by modal analysis and dynamic calibration test are consistent, and the time and frequency domain characteristics of the identified dynamic mathematical model agree well with the actual measurement results. After dynamic compensation, the dynamic characteristics of the force sensor in the frequency domain are obviously improved, and the effective operating frequency band is widened from 500 Hz to 1,560 Hz. In addition, in the time domain, the rise time of the step response signal is reduced from 0.29 ms to 0.17 ms, and the overshoot decreases from 26.6% to 9.8%.

Originality/value

An effective dynamic calibration and compensation method is proposed in this paper, which can be used to improve the dynamic performance of the strain-gauge-type force sensor and reduce the dynamic measurement error of the force measurement system.

Details

Sensor Review, vol. 44 no. 1
Type: Research Article
ISSN: 0260-2288

Keywords

Article
Publication date: 3 October 2022

Xiaofeng Li, Xiaoxue Liu, Xiangwei Li, Weidong He and Hanfei Guo

The purpose of this paper is to propose an improved method which can shorten the calculation time and improve the calculation efficiency under the premise of ensuring the…

Abstract

Purpose

The purpose of this paper is to propose an improved method which can shorten the calculation time and improve the calculation efficiency under the premise of ensuring the calculation accuracy for calculating the response of dynamic systems with periodic time-varying characteristics.

Design/methodology/approach

An improved method is proposed based on Runge–Kutta method according to the composition characteristics of the state space matrix and the external load vector formed by the reduction of the dynamic equation of the periodic time-varying system. The recursive scheme of the holistic matrix of the system using the Runge–Kutta method is improved to be the sub-block matrix that is divided into the upper and lower parts to reduce the calculation steps and the occupied computer memory.

Findings

The calculation time consumption is reduced to a certain extent about 10–35% by changing the synthesis method of the time-varying matrix of the dynamics system, and the method proposed of paper consumes 43–75% less calculation time in total than the original Runge–Kutta method without affecting the calculation accuracy. When the ode45 command that implements the Runge–Kutta method in the MATLAB software used to solve the system dynamics equation include the time variable which cannot provide its specific analytic function form, so the time variable value corresponding to the solution time needs to be determined by the interpolation method, which causes the calculation efficiency of the ode45 command to be substantially reduced.

Originality/value

The proposed method can be applied to solve dynamic systems with periodic time-varying characteristics, and can consume less calculation time than the original Runge–Kutta method without affecting the calculation accuracy, especially the superiority of the improved method of this paper can be better demonstrated when the degree of freedom of the periodic time-varying dynamics system is greater.

Details

Engineering Computations, vol. 39 no. 9
Type: Research Article
ISSN: 0264-4401

Keywords

Article
Publication date: 1 April 2000

D.G. Gouws and P. Lucouw

Thinking and research in respect of accounting and finance over the past three decades have been dominated by a methodology that is primarily based on the predictability of…

Abstract

Thinking and research in respect of accounting and finance over the past three decades have been dominated by a methodology that is primarily based on the predictability of accounting data and its relationship to certain phenomena. The magnitude of change in business makes the future unpredictable. Analysts and managers are confronting an entirely new business environment in which traditional approaches are no longer valid. A systems approach provides a new way of looking at financial analysis. The purpose of this study is to focus on the present, on the ability to cope and the capacity to change in a changing environment. The ability to create an own future is being seen as more important than the art of predicting the future. This paper describes an empirically tested dynamic balance model to establish whether entities are able to adapt, survive and prosper.

Details

Meditari Accountancy Research, vol. 8 no. 1
Type: Research Article
ISSN: 1022-2529

Keywords

1 – 10 of over 96000