scholarly journals What-if Simulation Modeling in Business Intelligence

2010 ◽  
pp. 2229-2247 ◽  
Author(s):  
Matteo Golfarelli ◽  
Stefano Rizzi
Keyword(s):  
Complex System ◽  
Simulation Model ◽  
Future Trends ◽  
Crucial Issue ◽  
Activity Diagrams ◽  
Commercial Area ◽  
Past Data ◽  
The Impact ◽  
Vital Factor

Optimizing decisions has become a vital factor for companies. In order to be able to evaluate beforehand the impact of a decision, managers need reliable provisional systems. Though data warehouses enable analysis of past data, they are not capable of giving anticipations of future trends. What-if analysis fills this gap by enabling users to simulate and inspect the behavior of a complex system under some given hypotheses. A crucial issue in the design of what-if applications is to find an adequate formalism to conceptually express the underlying simulation model. In this paper the authors report on how, within the framework of a comprehensive design methodology, this can be accomplished by extending UML 2 with a set of stereotypes. Their proposal is centered on the use of activity diagrams enriched with object flows, aimed at expressing functional, dynamic, and static aspects in an integrated fashion. The paper is completed by examples taken from a real case study in the commercial area.

What-If Application Design Using UML

2011 ◽  
pp. 287-306
Author(s):  
Matteo Golfarelli ◽  
Stefano Rizzi
Keyword(s):  
Complex System ◽  
Simulation Model ◽  
Future Trends ◽  
Crucial Issue ◽  
Activity Diagrams ◽  
Commercial Area ◽  
Past Data ◽  
The Impact ◽  
Vital Factor

Optimizing decisions has become a vital factor for companies. In order to be able to evaluate beforehand the impact of a decision, managers need reliable previsional systems. Though data warehouses enable analysis of past data, they are not capable of giving anticipations of future trends. What-if analysis fills this gap by enabling users to simulate and inspect the behavior of a complex system under some given hypotheses. A crucial issue in the design of what-if applications is to find an adequate formalism to conceptually express the underlying simulation model. In this paper we report on how, within the framework of a comprehensive design methodology, this can be accomplished by extending UML 2 with a set of stereotypes. Our proposal is centered on the use of activity diagrams enriched with object flows, aimed at expressing functional, dynamic, and static aspects in an integrated fashion. The paper is completed by examples taken from a real case study in the commercial area.

scholarly journals What-if Simulation Modeling in Business Intelligence

2009 ◽  
Vol 5 (4) ◽  
pp. 24-43 ◽  
Author(s):  
Matteo Golfarelli ◽  
Stefano Rizzi
Keyword(s):  
Business Intelligence ◽  
Simulation Modeling ◽  
Design Methodology ◽  
Future Trends ◽  
Crucial Issue ◽  
Commercial Area ◽  
Past Data ◽  
The Impact ◽  
Vital Factor

Optimizing decisions has become a vital factor for companies. In order to be able to evaluate beforehand the impact of a decision, managers need reliable provisional systems. Though data warehouses enable analysis of past data, they are not capable of giving anticipations of future trends. What-if analysis fills this gap by enabling users to simulate and inspect the behavior of a complex system under some given hypotheses. A crucial issue in the design of what-if applications is to find an adequate formalism to conceptually express the underlying simulation model. In this paper the authors report on how, within the framework of a comprehensive design methodology, this can be accomplished by extending UML 2 with a set of stereotypes. Their proposal is centered on the use of activity diagrams enriched with object flows, aimed at expressing functional, dynamic, and static aspects in an integrated fashion. The paper is completed by examples taken from a real case study in the commercial area.

scholarly journals Strategy for the Appropriation of a DSS in Small Bovine Producers Using Simulation and a Serious Video Game

Information ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 566
Author(s):  
Urbano Gómez-Prada ◽  
Martha Orellana-Hernández ◽  
Jesús Salinas-Ibáñez
Keyword(s):  
Simulation Model ◽  
Video Game ◽  
Information Technologies ◽  
Production Systems ◽  
Design And Development ◽  
Design And Development Research ◽  
Simulated Environments ◽  
Unified Process ◽  
The Impact

There is low adoption of Information Technologies (IT) in the administration of small bovine production systems which causes that most decisions are made based on the experience of the administrators and not based on data. This study proposes a methodological strategy to improve the adoption and appropriation of a Decision Support System (DSS) in the aforementioned kind of systems. The strategy includes gamification elements in the training supported in three IT tools, which help with the understanding of the connection between the tools. The tools are a simulation model, a serious video game, and the DSS. The design and development of the strategy used Design and Development Research and Case Study, System Dynamics to develop the simulation model and a Rational Unified Process to develop the serious video game and the DSS. The methodology was implemented in Santander, Colombia with informative sessions and working with producers in aided simulated environments with the goal of getting participants to use the proposed tools in their environments in a voluntary, autonomous, lasting way. Results showed the impact of the ludic and pedagogical components for the appropriation of the technology. 22 months after finishing the aided sessions 34% of the farmers show appropriation of the DSS and use it on their farms.

scholarly journals Before Corona and After Corona as New Global Milestones in The Theory and Practice of Consumer Behaviour: Evidence from Vending Industry

2021 ◽  
Vol 92 ◽  
pp. 06021
Author(s):  
Jana Majerova ◽  
Lukas Vartiak
Keyword(s):  
Consumer Behaviour ◽  
Value Added ◽  
Theory And Practice ◽  
Personal Contact ◽  
Future Trends ◽  
Theoretical Approaches ◽  
Purchasing Behaviour ◽  
Light And Shadow ◽  
The Impact

Research background: In the light and shadow of contemporary global situation, Corona pandemic crisis can be established as new milestone in economic and managerial theory and practice. It has flew over national markets as black swan and it has totally destroyed so far formulated models and patterns. No one industry has stayed untouched. Purpose of the article: The aim of this paper is to identify changes in consumer behaviour caused by Corona pandemic crisis in relevant industry of national economy. Methods: The aim of this paper will be fulfilled by applying comparative analysis on the case study of vending industry provided on chronological basis. The reason for choosing this industry lies in the specifics of this industry – i.e. elimination of personal contact and nonstop functioning not only in closed but also in open air places. Thus, it can be expected that the impact of Corona pandemic crisis characterized by lockdown, social distancing and strict hygienic steps would be minimal in this case. Findings & Value added: It has been already stated that Corona pandemic crisis has a potential to modify so far formulated theoretical approaches to consumer behaviour. By providing own research, this fact has been proven. Based on these findings, it is possible to identify future trends in purchasing behaviour not only in case of chosen industry but also generally. These are mainly connected with the shift in perception of consumption and savings, the preference of cash less payment and the change in philosophy of personal alimentation.

scholarly journals Optimization of Packaging Line Performance: A Case Study of AB Breweries in Nigeria

2018 ◽  
pp. 1-22
Author(s):  
Chinedu James Ujam ◽  
Harold Chukwuemeka Godwin
Keyword(s):  
Simulation Model ◽  
Design Of Experiment ◽  
Production System ◽  
Simulation Software ◽  
Production Performance ◽  
Machine Breakdown ◽  
Fishbone Diagram ◽  
And Performance ◽  
The Impact

This paper presents an approach for improving productivity in breweries. A case study of AB brewery was adopted. Traditionally, packaging line improve  performance and productivity based on extrapolation of past experience, but in recent times, the traditional method could not meet up with high increase in demand of products, hence the need to adopt a new approach of using information technology and software to analyze problems and improving performance. Eleven weeks of the following data were collected and calculated; production outputs and running time; OPI and Target; and Packaging line downtimes. Downtimes were grouped into machine breakdown, planned downtime, and external downtimes and analyzed with histogram to know the impact of each group to the overall downtimes. To apply fishbone diagram, it was further grouped into Material, Method, Man and Machine after which a Pareto graph was plotted to understand the area of focus in tackling production system problems. Tecnomatrix plant simulation software was adopted to develop a simulation model that mimic the real system which further found hidden problems existing within the production system. Design of experiment was carried out to select the best alternatives from the results generated, and finally excel spreadsheet interface was developed for better analysis and performance tracking of optimized system. Result of data analysis indicated that machine breakdown and external downtimes were the major problems affecting performance, while simulation model revealed that unregulated system and un-optimized regulated lines recorded high machine breakdown and speed losses which affected the production performance output respectively. Design of experiment found the best speed combination of sensors to optimize two labellers.

Events - Future, Trends, Perspectives

2020 ◽  
Keyword(s):  
Case Studies ◽  
Student Perceptions ◽  
World View ◽  
Psychological Effects ◽  
Simulation Game ◽  
Future Trends ◽  
Event Management ◽  
The Future ◽  
The Impact

Events – future, trends, perspectives provides insights into many of the recent developments within the diverse event industry. International scholars and experts with backgrounds in multiple related fields have taken up exciting research topics and offer perspectives, thoughts and views on a number of current and future issues and challenges. The topics are as diverse as the industry itself and include discussions on gender and diversity, disruptive technologies, sustainability, psychological effects, the co-creation of experiences, the future of event education and many more. Vivid case studies and best practice examples are used to illustrate current and future developments and to spark discussion and debate amongst scholars, practitioners and students alike. The Corona crisis (Covid-19) is having a massive impact on the events industry. Due to the editorial deadline of this book in February 2020, this topic could not be considered in this edition. We ask for your understanding. Content: Kim Werner and Ye Ding Acknowledgements PART A Nicole Böhmer, Kim Werner and Imke Wargin Female Careers in the Event Industry – Myth, Reality or Future Vision? Susanne Doppler, Burkhard Schmidt and Liza Funke Work Stress of Event Managers Hans-Jürgen Gaida Marketing Meeting and Event Destinations in Disruptive Times: Future Challenges and Chances Steffen Ronft Event Psychology – An Interdisciplinary Approach Chunlei Wang and Xingdan Wang Theorising the “Event View” as a Kind of “World View” Helmut Schwägermann China Outbound Events – A Challenge for European MICE Destinations Markus Große Ophoff, Kai-Michael Griese and Kim Werner Event Organisations at the Interface between Sustainability and Digitalisation Hui Huang and Hanzhi Zhang Festivals and “New Retail”: A Case Study of the “Double 11” Shopping Festival in China Kim Werner, Christina Bosse and Kai-Michael Griese Slow Events: Assessing the Potential for the Event Industry of the Future PART B Aliosha Alexandrov and Kai-Michael Griese Value Co-creation and the Impact on Marketing and Event Management Curricula Xing Lan and Yi Ding Cooperative Transnational Event Management Education: A Case Study of International Event Management Shanghai (IEMS) Mattheus Louw and Thomas Temme Enhancing Student Learning in Event Management: Student Perceptions of a Business Simulation Game Ye Ding, Li Zhang and Chunlei Wang Innovation and Entrepreneurship Education in Event Management: Case studies from Chinese Universities Gernot Gehrke Researching the Future of Event Education Steffen Ronft Appendix: Further references concerning psychological effects and phenomena

Large-Scale Field Validation and Practical Application of a Multi-Well Thermal Interaction Model for Temperature Simulation

2021 ◽  
Author(s):  
Albert R. McSpadden ◽  
Ruggero Trevisan ◽  
Stig Arne Stene ◽  
Anita Vonheim
Keyword(s):  
Simulation Model ◽  
Large Scale ◽  
Scale Validation ◽  
Thermal Interaction ◽  
Practical Application ◽  
Temperature Environment ◽  
Complex Temperature ◽  
The Impact ◽  
Over Time

Abstract The wellbore and formation temperature environment around a system of multiple wells in close proximity is complex. Temperature simulation and prediction for a single isolated well is simplified by axisymmetric assumptions. Realistic multi-well environments do not have obvious symmetry and are interactive given different operating states including possibly a mix of producer versus injector wells. A simulation model of thermal interaction between closely spaced wells has been developed in a collaborative project. A large-scale validation of the model is presented here. An important field application is presented for a subsea well template where movement tolerances must be tightly controlled. Large-scale validation was conducted for an offshore platform development where more than 30 wells were drilled and brought onto production over a period of 4-5 years. As each well was drilled and completed, temperature logs where recorded which thereby gave a digital signature of the complex thermal environment below mudline as it evolved over time. The simulation model temperature for each well was corroborated against well temperature logs. A simultaneous boundary-condition of flowing wellhead temperatures and pressures for each well was compared against the model predictions. Also, a detailed predictive case study is presented for a 6 well subsea template. Model temperatures were used to assess the impact of cement height on wellhead movement within the template structure which featured lockdowns and tight tolerances on allowable movement within the housing profile. Predicted temperatures from the multi-well model agree closely with logs and correlate closely with characteristic temperature excursions from geothermal below the mudline down to the well path kick-off zone. Since the logs occur over time and account for a changing well population, the model is shown to accurately capture the time evolution of the complex temperature environment. The model explains unusual temperature log signatures as the result of sidetracks and the radial extent of heat affected zones from the parent wellbore. The subsea case study highlights the importance of predicting the complex multi-well temperature environment by demonstrating its impact on the wellhead movement given the uncertainty of cement tops for deeper shoes of combined conductor/surface casings. This learning informs subsea template design and selection with port options for cement grout and top-up jobs. Although the multi-well temperature model has been presented previously along with some field data validation, the large-scale study presented provides further and significant model validation. Extensive data over time and corroboration with unusual temperature log phenomena demonstrate model accuracy. The utilization of the model in the design and specification of a subsea template development provides a real-world example and demonstrates practical application as well as its usefulness.

Modeling Conflicts and Batch Quality Impacts in Pipeline and Crude Oil Storage Terminal

2016 ◽  
Author(s):  
Birgit Juergensen ◽  
Ivan Ewanicke ◽  
Thomas Xi
Keyword(s):  
Simulation Model ◽  
Complex Problem ◽  
System Configuration ◽  
Balance System ◽  
Oil Storage ◽  
Business Objective ◽  
The Impact ◽  
Configuration Changes ◽  
A Current

The problem of identifying and forecasting potential scheduling conflicts and the impact to quality and delivery targets is a very real and complex problem. The most effective way to meet the above business objective is to develop a terminal simulation model that combines elements of a mass balance system (MBS), operational rules/procedures and operator behavioral patterns. This paper is a case study describing the approach in designing a detailed pipeline tank terminal simulation model with an objective to identify and quantify complex and possibly unresolvable operating conflicts/events occurring given a current pipeline, tank or terminal configuration and then comparing this with other configuration options. In addition, the model will be able to measure quality impacts (measured by quantifying the volume of degraded product) that results from resolving the operating conflicts for each evaluated configuration. We will demonstrate how the resultant model allows a terminal operator to effectively understand quality impacts to batches delivered through the pipeline tank terminal as a function of operational procedures and system configuration changes.

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