Process Mining can roughly be defined as a data-driven approach to process management. The basic idea of process mining is to automatically distill and to visualize business processes using event logs from company IT-systems (e.g. ERP, WMS, CRM etc.) to identify specific areas for improvement at an operational level. An event log can be described as a database entry that signifies a specific action in a software application at a specific time. Simple examples of these actions are customer order entries, scanning an item in a warehouse, and registration of a patient for a hospital check-up.Process mining has gained popularity in the logistics domain in recent years because of three main reasons. Firstly, the logistics IT-systems' large and exponentially growing amounts of event data are being stored and provide detailed information on the history of logistics processes. Secondly, to outperform competitors, most organizations are searching for (new) ways to improve their logistics processes such as reducing costs and lead time. Thirdly, since the 1970s, the power of computers has grown at an astonishing rate. As such, the use of advance algorithms for business purposes, which requires a certain amount of computational power, have become more accessible.Before diving into Process Mining, this course will first discuss some basic concepts, theories, and methods regarding the visualization and improvement of business processes.
MULTIFILE
from the article: "Purpose – The importance of contextual factors is increasingly recognized in the field of business process management (BPM). The purpose of this paper is to investigate the relation between BPM maturity and process performance and the uncharted differences of two contextual factors (size and sector) in this relation. Design/methodology/approach – An empirical investigation is presented based on a sample of 165 organizations. Using partial least square-multi group analysis (PLS-MGA) differences between size and sector are investigated. Findings – Overall, information technology, resources and knowledge and process measurement are the most pivotal BPM maturity dimensions that contribute to a better organizational process performance. The results showed no differences between private and public organizations in the relation between BPM maturity dimensions and process performance. In contrast, product organizations benefit more than service organizations from continuous improvement of their processes. Moreover, utilizing IT technology is more beneficial for small organizations rather than large organizations. Originality/value – There is a clear lack of empirical studies investigating the role of context. This research extends the limited body of literature that investigated contextual factors in the field of BPM. It is the first study to add size and sector in the posited multi-dimensional model of BPM maturity dimensions and process performance. The results provide guidance for scholars and practitioners that work on BPM practices in different contexts."
The main question in this PhD thesis is: How can Business Rules Management be configured and valued in organizations? A BRM problem space framework is proposed, existing of service systems, as a solution to the BRM problems. In total 94 vendor documents and approximately 32 hours of semi-structured interviews were analyzed. This analysis revealed nine individual service systems, in casu elicitation, design, verification, validation, deployment, execution, monitor, audit, and version. In the second part of this dissertation, BRM is positioned in relation to BPM (Business Process Management) by means of a literature study. An extension study was conducted: a qualitative study on a list of business rules formulated by a consulting organization based on the Committee of Sponsoring Organizations of the Treadway Commission risk framework. (from the summary of the Thesis p. 165)
Digital transformation has been recognized for its potential to contribute to sustainability goals. It requires companies to develop their Data Analytic Capability (DAC), defined as their ability to collect, manage and analyze data effectively. Despite the governmental efforts to promote digitalization, there seems to be a knowledge gap on how to proceed, with 37% of Dutch SMEs reporting a lack of knowledge, and 33% reporting a lack of support in developing DAC. Participants in the interviews that we organized preparing this proposal indicated a need for guidance on how to develop DAC within their organization given their unique context (e.g. age and experience of the workforce, presence of legacy systems, high daily workload, lack of knowledge of digitalization). While a lot of attention has been given to the technological aspects of DAC, the people, process, and organizational culture aspects are as important, requiring a comprehensive approach and thus a bundling of knowledge from different expertise. Therefore, the objective of this KIEM proposal is to identify organizational enablers and inhibitors of DAC through a series of interviews and case studies, and use these to formulate a preliminary roadmap to DAC. From a structure perspective, the objective of the KIEM proposal will be to explore and solidify the partnership between Breda University of Applied Sciences (BUas), Avans University of Applied Sciences (Avans), Logistics Community Brabant (LCB), van Berkel Logistics BV, Smink Group BV, and iValueImprovement BV. This partnership will be used to develop the preliminary roadmap and pre-test it using action methodology. The action research protocol and preliminary roadmap thereby developed in this KIEM project will form the basis for a subsequent RAAK proposal.
In het Groningse aardbevingsgebied moeten de komende jaren volgens de contourenschets van de Nationaal Coördinator Groningen tussen de 35.000 en 100.000 woningen worden versterkt. Er is geen regio in Nederland waar ineens, op zo?n korte termijn en in zo?n grote omvang, de noodzaak van grootschalig aardbevingsbestendig bouwen is ontstaan. De Groningse mkb-bouwbedrijven werken samen om via bedrijfsinterne verbeteringen deze opdracht te realiseren. De praktijkvragen van de betrokken bouwbedrijven zijn: " Hoe kan ik mijn bedrijfscapaciteit optimaal managen, gezien de kansen rondom aardbevingsbestendig bouwen, maar zodanig dat de orderportefeuille en het personeelsbestand in balans zijn? " Hoe richt ik mijn bedrijfsprocessen zodanig op de verwachte groei in, dat de werkzaamheden binnen acceptabele doorlooptijden en naar tevredenheid van bewoners en opdrachtgevers duurzaam kunnen worden uitgevoerd? De kern van het consortium bestaat uit 10 mkb-bouwbedrijven, Bouwend Nederland regio Noord en de Hanzehogeschool Groningen. Het lectoraat Flexicurity is penvoerder, daarnaast is het lectoraat Arbeidsorganisatie en ?productiviteit en het lectoraat Ruimtelijke Transformaties betrokken. Vanuit het onderwijs participeren de Academie voor Architectuur, Bouwkunde en Civiele Techniek en EPI-kenniscentrum. EPI-kenniscentrum is een samenwerkingsverband van de Hanzehogeschool Groningen, Alfa College en Rijksuniversiteit Groningen ? en andere publieke en private partners. Het bundelt onderwijs en scholing op het terrein van aardbevingsbestendig bouwen voor de regio. Het doel van het consortium is om: " Kennis te ontwikkelen over capaciteitsmanagement en slim organiseren (binnen en tussen bedrijven) van het aardbevingsbestendig bouwproces, en de (arbeids)marktwerking daaromheen. " Deze kennis en inzichten te vertalen in voor het mkb bruikbare producten zoals tools, startcondities en randvoorwaarden (Handboek capaciteitsmanagement- en procesverbetering voor mkb-bouwbedrijven). " De verworven praktijkkennis om te zetten in onderwijsproducten zoals een nieuwe minor in het HG bouwonderwijs en innovatie van onderwijs en scholing via EPI-kenniscentrum. " Te komen tot een structurele en intensieve samenwerking tussen mkb-bouwbedrijven, onderwijs en praktijkgericht onderzoek aan de Hanzehogeschool Groningen (en andere onderwijsinstellingen).
The research proposal aims to improve the design and verification process for coastal protection works. With global sea levels rising, the Netherlands, in particular, faces the challenge of protecting its coastline from potential flooding. Four strategies for coastal protection are recognized: protection-closed (dikes, dams, dunes), protection-open (storm surge barriers), advancing the coastline (beach suppletion, reclamation), and accommodation through "living with water" concepts. The construction process of coastal protection works involves collaboration between the client and contractors. Different roles, such as project management, project control, stakeholder management, technical management, and contract management, work together to ensure the project's success. The design and verification process is crucial in coastal protection projects. The contract may include functional requirements or detailed design specifications. Design drawings with tolerances are created before construction begins. During construction and final verification, the design is measured using survey data. The accuracy of the measurement techniques used can impact the construction process and may lead to contractual issues if not properly planned. The problem addressed in the research proposal is the lack of a comprehensive and consistent process for defining and verifying design specifications in coastal protection projects. Existing documents focus on specific aspects of the process but do not provide a holistic approach. The research aims to improve the definition and verification of design specifications through a systematic review of contractual parameters and survey methods. It seeks to reduce potential claims, improve safety, enhance the competitiveness of maritime construction companies, and decrease time spent on contractual discussions. The research will have several outcomes, including a body of knowledge describing existing and best practices, a set of best practices and recommendations for verifying specific design parameters, and supporting documents such as algorithms for verification.