Simulation modelling: Educational development roles for learning technologists

Simulation modelling was in the mainstream of CAL development in the 1980s when the late David Squires introduced this author to the Dynamic Modelling System. Since those early days, it seems that simulation modelling has drifted into a learning technology backwater to become a member of Laurillard's underutilized, ‘adaptive and productive’ media. Referring to her Conversational Framework, Laurillard constructs a pedagogic case for modelling as a productive student activity but provides few references to current practice and available resources. This paper seeks to complement her account by highlighting the pioneering initiatives of the Computers in the Curriculum Project and more recent developments in systems modelling within geographic and business education. The latter include improvements to system dynamics modelling programs such as STELLA®, the publication of introductory textbooks, and the emergence of online resources. The paper indicates several ways in which modelling activities may be approached and identifies some educational development roles for learning technologists. The paper concludes by advocating simulation modelling as an exemplary use of learning technologies ‐ one that realizes their creative‐transformative potential

The integrated use of enterprise and system dynamics modelling techniques in support of business decisions

Enterprise modelling techniques support business process re-engineering by capturing existing processes and based on perceived outputs, support the design of future process models capable of meeting enterprise requirements. System dynamics modelling tools on the other hand are used extensively for policy analysis and modelling aspects of dynamics which impact on businesses. In this paper, the use of enterprise and system dynamics modelling techniques has been integrated to facilitate qualitative and quantitative reasoning about the structures and behaviours of processes and resource systems used by a Manufacturing Enterprise during the production of composite bearings. The case study testing reported has led to the specification of a new modelling methodology for analysing and managing dynamics and complexities in production systems. This methodology is based on a systematic transformation process, which synergises the use of a selection of public domain enterprise modelling, causal loop and continuous simulationmodelling techniques. The success of the modelling process defined relies on the creation of useful CIMOSA process models which are then converted to causal loops. The causal loop models are then structured and translated to equivalent dynamic simulation models using the proprietary continuous simulation modelling tool iThink

Simulation in manufacturing and business: A review

Copyright @ 2009 Elsevier B.V.This paper reports the results of a review of simulation applications published within peer-reviewed literature between 1997 and 2006 to provide an up-to-date picture of the role of simulation techniques within manufacturing and business. The review is characterised by three factors: wide coverage, broad scope of the simulation techniques, and a focus on real-world applications. A structured methodology was followed to narrow down the search from around 20,000 papers to 281. Results include interesting trends and patterns. For instance, although discrete event simulation is the most popular technique, it has lower stakeholder engagement than other techniques, such as system dynamics or gaming. This is highly correlated with modelling lead time and purpose. Considering application areas, modelling is mostly used in scheduling. Finally, this review shows an increasing interest in hybrid modelling as an approach to cope with complex enterprise-wide systems

Which is more appropriate: a multi-perspective comparison between systems dynamics and discrete event simulation

System Dynamics (SD) and Discrete Event Simulation (DES) are two established simulation tech-niques for simulating the dynamics of a system. Both have been widely used in modelling business de-cisions. This paper presents meta-comparison between the two approaches based on literature survey. Upon reviewing the existing literature it has been identified that existing comparisons could be classi-fied under three main perspectives: Systems perspective, Problems perspective and Methodology per-spective. The nature of system and nature of problem have been argued as primary factors for decid-ing modelling methodology. Therefore SD and DES comparisons have been classified on the basis of systems, problems and inherent aspects and capabilities of both modelling methods. It has been ar-gued that development of sound models need fit between system, problem and methodology. The suc-cess of model depends on it’s technical soundness as well as it’s successful implementation. In order to develop successful models this vision has been further extended to incorporate stakeholders, re-sources and time

A Framework for Sustainability Decision Making System: A Proposal and an Implementation

Sustainability is a commitment to a new way of commissioning business activities that addresses balanced prosperity of social, economic and environmental dimensions of businesses. A sustainable business model is a roadmap for achieving sustainability and deals with the issues and dynamic relationships of sustainable dimensions of the businesses. A decision-making system that purports to support this sustainability commitment should facilitate development of sustainable business strategies, and translation of existing business operations into sustainable business processes. The system should also enable us capturing and managing sustainability related data for supporting the strategy development processes, business process reengineering processes and sustainability reporting processes. To achieve this goal we need a sustainable modelling and reporting framework that encapsulates different modelling processes e.g. decision support modelling, systems dynamics modelling, scenario modelling, simulation modelling, business process modelling, data modelling, and information modelling within a single framework. However, currently available sustainability modelling and reporting frameworks are neither integrated nor exhaustively backed by tools and technologies to support the sustainable business requirements; they also do not support the complete life cycle of a business transformation process. Therefore, businesses are facing increasing difficulty to develop, integrate and apply sustainable strategies and operations into their core business systems. This paper proposes a generic domain independent sustainability modelling and reporting framework that integrates various modelling processes for developing sustainable business models and sustainability reports. The framework encapsulates the sustainability models, modelling and reporting processes and aligns with the sustainable business framework

Modeling of Business Systems using Hybrid Simulation: A New Approach

Simulation models are important instruments for analysing business systems. They are classified into time-discrete and time-continuous simulation models, for example Discrete Event Systems (DEVS) or System Dynamics (SD) models. These special models are particularly suitable to analyse subsystems of a business system with either time-discrete or time-continuous behaviour. However, in general they are not appropriate to analyse a business system which shows time-discrete and time-continuous behaviour simultaneously. Analysing business systems with time-discrete and time-continuous behaviour with isolated submodels and consolidating the findings of these analyses afterwards may lead to redundancy and consistency problems. In this paper an approach for developing hybrid simulation models, which exhibit time-discrete and time-continuous behaviour, is presented. The hybrid simulation models contain DEVS and SD simulation submodels that are coupled. The approach introduces a structural model of business systems that consists of several control layers with timediscrete or time-continuous behaviour, as well as a modelling approach for integrating DEVS and SD submodels by coupling mechanisms. Finally, an investigation of a market case illustrates the use of the presented approach

Dynamic integrated modelling of information systems and business process simulation

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Business processes and information technology are two areas that are very closely related to the sustained competitive advantage in organisations. However, investment in information technology often leads to disappointment, which may in part be due to the non-alignment of the information system domain with the business process domain. Simulation modelling is an established technique often used in business process change projects, as it allows a comparison of different possible scenarios without the expense of physically implementing the system. However business process simulation fails to effectively capture the information systems perspective in the model. This thesis contends that by combining information systems modelling techniques with business process simulation the model will be able to capture all the four perspectives (functional, behavioural, organisational and informational) of an organisation, and the design of the business processes and the information system will be better aligned. Initially, attempts were made to integrate business process simulation with computer network simulation in a simple two- or three-layered simulation model, but this gave rise to significant problems the most significant being the underlying assumptions of the original hypothesis. This led to a refined hypothesis in which the layered models were discarded along with the network domain. The revised hypothesis aimed to capture the informational changes that occur in the information system and therefore combines prototyping with business process simulation. This overcomes the unsafe assumptions of the initial hypothesis about whether the system is 'correct' and provides a method of validating the design of the information system within the context of the business processes. The integrated model allows concurrent design of the information system domain and the business process domain and therefore ensures that the domains are better aligned. The framework is tested on a case study and the results indicate that it is an effective tool in the combined design of business processes and information systems

Enterprise modelling framework for dynamic and complex business environment: socio-technical systems perspective

The modern business environment is characterised by dynamism and ambiguity. The causes include global economic change, rapid change requirements, shortened development life cycles and the increasing complexity of information technology and information systems (IT/IS). However, enterprises have been seen as socio-technical systems. The dynamic complex business environment cannot be understood without intensive modelling and simulation. Nevertheless, there is no single description of reality, which has been seen as relative to its context and point of view. Human perception is considered an important determinant for the subjectivist view of reality. Many scholars working in the socio-technical systems and enterprise modelling domains have conceived the holistic sociotechnical systems analysis and design possible using a limited number of procedural and modelling approaches. For instance, the ETHICS and Human-centred design approaches of socio-technical analysis and design, goal-oriented and process-oriented modelling of enterprise modelling perspectives, and the Zachman and DoDAF enterprise architecture frameworks all have limitations that can be improved upon, which have been significantly explained in this thesis. [Continues.

Enhancing Enterprise Resource Planning and Manufacturing Execution System efficiency with simulation-based decision support

Abstract: Business units inclusive of large, medium and small-scale entities traditionally conducts activities based on business processes. Globalization has resulted in the gradual introduction of various automation systems at various levels of the business enterprise, specifically focussed on capturing essential business activities across the entity. These systems, inclusive of Enterprise Resource Planning (ERP), Manufacturing Execution Systems (MES) and Plant systems has been adopted by larger corporates in executing and optimizing business functions. These large multinationals are described as complex entities with complex business structures inclusive of business processes. The quantification of automation, escalations and critical variables of these business processes has not been effectively conducted. A “systems thinking” approach adds the complexity of integrating all enterprise functions but creates a framework for evaluating the limitations and synergies so as to optimize these processes. This research focuses on the development and configuration of a simulation model for modelling enterprise maturity via business processes. This research approach includes hierarchical layout and segregation of these business processes, exploring these enterprise operations adopting business process tools, techniques, and methodologies aligned with a system thinking approach. A simulation framework is configured and tested. The results prove that a simulation model potentially benefits a complex organisation specific to evaluating time taken to conduct business processes. The results indicate that interdependent processes can be modelled together with determining impacts of multiple critical variables in reducing business process time