As business process management is increasingly applied in practice, more companies document their operations in the form of process models. Since users require descriptions of one process on various levels of detail, there are often multiple models created for the same process. Business process model abstraction emerged as a technique reducing the number of models to be stored: given a detailed process model, business process model abstraction delivers abstract representations for the same process. A key problem in many abstraction scenarios is the transition from detailed activities in the initial model to coarse-grained activities in the abstract model. This transition is realized by an aggregation operation clustering multiple activities to a single one. So far, humans decide on how to aggregate, which is expensive. This paper presents a semi-automated approach to activity aggregation that reduces the human effort significantly. The approach takes advantage of an activity meronymy relation, i.e., part-of relation defined between activities. The approach is semi-automated, as it proposes sets of meaningful aggregations, while the user still decides. The approach is evaluated by a real-world use case.
Dimitris Kosmidis presented on end-to-end business process innovation for his graduate project. He discussed defining business processes, analyzing the BPMS market, developing strategies for process innovation, value propositions using component business models, and managing business process maturity. Financial aspects like SLA/SLM and on-demand SaaS models were examined. The presentation concluded that documenting and implementing business processes is challenging but critical for effectiveness, efficiency, and adaptability to change.
This document is a project report submitted by a student to partial fulfillment of the requirements for a Master's degree. It examines the impact of e-procurement on purchasing indirect goods for a company. The report will include a literature review on e-procurement, data collection and analysis on the company's traditional procurement vs e-procurement, results and discussions. The objective is to understand why e-procurement has not succeeded as expected for indirect purchases and measure its cost-effectiveness for the company.
This document proposes an approach to model reduction of logistic networks based on node ranking. It introduces a method to rank the importance of locations in a logistic network based on material flows. Three rules are described for reducing the model based on excluding, aggregating, or replacing subnetworks of low-ranked nodes. Examples are provided to illustrate how the rules can be applied to simplify large logistic network models. The approach allows analysis of reduced models to gain insights while decreasing computational requirements for large, real-world networks.
First part of my tutorial (jointly with Diego Calvanese) on the "Integrated Modeling and Verification of Processes and Data", held at the BPM 2017 conference. The first part focuses on the motivation for combining processes and data, and a review of the state of the art.
1) The document proposes a novel approach to using mathematical formulas to revise business processes modeled with Petri nets. The goal is to reduce cost and cycle time by reducing the number of tasks needed to complete the process. 2) The approach generates alternative business process designs by excluding certain transitions in the Petri net model. Excluded transitions are evaluated based on minimizing duration. 3) Results show the proposed approach can efficiently optimize process attributes like cost and duration. It was able to reduce the duration of the case study process by 12.5% by removing unnecessary tasks.
Keynote talk by Marlon Dumas at the Bolzano Rules and Artificial INtelligence Summit (BRAIN 2019), RuleML+RR and GCAI Conferences, Bolzano, Italy, 17 September 2019. The talk gives an overview of state-of-the-art methods in the field of process mining and predictive process monitoring and spells out research challenges in the fields of prescriptive process monitoring and automated process improvement.
SmartStep “ a compelling business case” Atlantic Business Resources delivers high visibility of spend for your company. It is likely that current information road blocks are directly affecting the Profitability of your Company. Increasing spend visibility will allow your employees to increase the efficiency of their operations between 12% and 35% in certain areas. This visibility can be provided at potentially no cost. Provided with no risk. Provided with minimal effort from your part. Provided in one billing cycle Our objective is to provide our clients with sustainable cost reductions and effective cost management insight by utilising innovative procurement solutions. Your project will be tailored specifically to ensure that you benefit from a structured and predictive savings delivery model which will identify, advise on, and provide implementation of commercial changes to improve your profitability and cash flow. These objectives can be met through an Atlantic ‘SmartStep’ Project: You can either choose to engage Atlantic to deliver our commercial advantage or we are happy to train your staff to use our suite of software tools and they can identify and deliver them independently. Irrespective of your choice, you can expect our primary focus to be to deliver improved business agility and performance.
Presentation delivered by Irene Teinemaa at the BPM'2016 conference, Rio de Janeiro, 22 September 2016. Paper available at: http://kodu.ut.ee/~dumas/pubs/bpm2016predictivemonitoring.pdf
The goal of this keynote at the ICSSP conference was to provide an overview of the BPM field, which is very related to software engineering in several ways. Accordingly, the talk starts with an overview of BPM, including a short excursion into history and a 100 year old process model. Then I discussed process enactment and its relation to low & no-code development and model-driven engineering. The past 10 years of BPM were heavily influenced by process mining, a flavor of data mining using a process lens. On several occasions I give examples using emerging technologies like blockchain. Finally, a brief outlook is given on augmenting BPM technologies with artificial intelligence (AI).
The document provides an overview of advanced business analysis training that covers topics like enterprise modeling, business process modeling, value chain analysis, and linking business and system models. It introduces various modeling techniques and notations for mapping business imperatives, processes, stakeholders, and more. Examples are provided of how to model value chains, business processes using activity diagrams, and properties to specify when analyzing processes.
This document discusses lean manufacturing and its application to petrochemical plants. It defines lean manufacturing as focusing on eliminating waste, improving productivity, quality and optimizing resources. The document outlines various lean tools like 5S, kaizen, total productive maintenance and their use. It analyzes sources of waste in petrochemical plants and provides examples of applying lean thinking to maximize byproduct value, reduce conversion costs and implement business cases around market optimization, product development and opportunity realization. The overall objective is to translate lean philosophy for continual improvement in petrochemical operations.
The document discusses mining project-oriented business processes from version control system (VCS) logs. It aims to help auditors analyze projects retrospectively by generating GANTT charts from VCS data without an explicit process model. The approach aggregates VCS events into activities and work packages while addressing challenges around timing and coverage. It was evaluated on open source projects and provides process mining of ad-hoc projects to assess compliance for incidents like engineering errors.
The document discusses mining project-oriented business processes from version control system (VCS) logs. It aims to help auditors analyze projects retrospectively by generating GANTT charts from VCS data without an explicit process model. The approach aggregates VCS events into activities and work packages while addressing challenges around timing and coverage. It was evaluated on open source projects and provides process mining of ad-hoc projects to assess compliance for incidents like engineering errors.
This document discusses a new method for optimizing product design called intensive numerical simulation. It proposes reversing the traditional design process by conducting intensive simulations based on manufacturing knowledge before creating the CAD model. Experimental design plans are used to efficiently run a large number of simulations. The method aims to help small-to-medium enterprises obtain unexpected gains in areas like mass and better use of manufacturing resources. Results show the approach is a promising new way for computer-aided design.
The presentation discusses how mathematics, including matrices, coordinate geometry, functions, limits, continuity, differentiation, and maxima and minima, can assist in business decision making. Several group members each presented on a mathematics topic and provided examples of how it is used, such as using matrices to analyze production elements or differentiation to determine optimal production levels for maximizing profit. The document concludes by solving an example maximizing profit by finding the production rate that balances total cost and total revenue functions.
7Epsilon investment casting case study to satisfy requirements of clause 6-1-2 and 7-1-6 of ISO 9001:2015 quality standard.
This document provides an overview of a Six Sigma Greenbelt program and project selection process. It discusses defining a problem statement and project charter that includes the problem, objectives, metrics, and scope. It emphasizes using data and customer needs to select the right project focus, and establishing a baseline and measurable goals in the project charter. A sample business case template is also provided to document the performance gap and cost impact driving the need for the project.
The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries: 1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes. 2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions. 3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines. 4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors. 5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering. 6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands. 7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems. 8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering. 9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively. Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.
Invited Remote Lecture to SC21 The International Conference for High Performance Computing, Networking, Storage, and Analysis St. Louis, Missouri November 18, 2021
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator. Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/ Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
Presented at Gartner Data & Analytics, London Maty 2024. BT Group has used the Neo4j Graph Database to enable impressive digital transformation programs over the last 6 years. By re-imagining their operational support systems to adopt self-serve and data lead principles they have substantially reduced the number of applications and complexity of their operations. The result has been a substantial reduction in risk and costs while improving time to value, innovation, and process automation. Join this session to hear their story, the lessons they learned along the way and how their future innovation plans include the exploration of uses of EKG + Generative AI.