From the article: "Project execution in the construction industry faces major challenges, e.g. difficulty in coordination and cooperation. Operational procurement during project execution is no exception. In this paper we construct a maturity model, based on earlier work, consisting of six dimensions (goal, control, process, organization, information, technology) and five maturity stages (transactional-oriented, commercial-oriented, coordination, internal-optimized, external-optimized). The model can be used to determine the level of procurement maturity for each of the dimensions, and for the determination of a strategy for growth in the construction industry. With input from a major construction firm in the Netherlands, through simulating tooling, the model is evaluated for its contribution to growth in operational excellence. Results of the simulation show support for a relation between maturity growth and increased operational excellence." Recommended Citation Xing, Xiaochun; Versendaal, Johan; van den Akker, Marjan; and De Bevere, Bastiaan, "Maturity of Operational Procurement in the Construction Industry: A Business/IT-Alignment Perspective" (2011). BLED 2011 Proceedings. Paper 22. http://aisel.aisnet.org/bled2011/22 Affiliation: Xing Xiaochun - Swets Information Services, Netherlands; Johan Versendaal - Utrecht University, Netherlands; HU University of Applied Sciences, Netherlands; Marjan van den Akker - Utrecht University, Netherlands; Bastiaan De Bevere - Ballast Nedam, Netherlands.
MULTIFILE
This OP was deployed in two phases, focusing on Vehicle-to-Home (V2H) and Vehicle-to-Grid (V2G). Its first phase took place at a private residence in Loughborough and ran from March 2017 up to December 2017. This phase 1 is also referred to as the ‘Loughborough pilot’. The second phase took place from February 2020 until present at a comparable residence in Burton-upon-Trent, thereafter, referred to as the ‘Burton pilot’ or ‘phase 2’. Both pilots included bi-directional chargers, Electric Vehicles (EV), Battery Static Storage (BSS) and rooftop solar PhotoVoltaic panels (PV).The main goals of this pilot were to demonstrate the added value of V2H and V2G of using additional energy storage and PV in households.Challenges encountered in the project include interoperability issues, particularly in phase 1, and the unforeseen development of the homeowner selling his house, meaning a new location needed to be found. However, this challenge ultimately provided an excellent opportunity to implement lessons for interoperability and to act upon the recommendations from the intermediate analysis of the Loughborough pilot. This report is mainly focussed on phase 1 (Loughborough), and additional analysis for Burton-upon-Trent (phase 2) can be found in the appendix.
DOCUMENT
Analyzing historical decision-related data can help support actual operational decision-making processes. Decision mining can be employed for such analysis. This paper proposes the Decision Discovery Framework (DDF) designed to develop, adapt, or select a decision discovery algorithm by outlining specific guidelines for input data usage, classifier handling, and decision model representation. This framework incorporates the use of Decision Model and Notation (DMN) for enhanced comprehensibility and normalization to simplify decision tables. The framework’s efficacy was tested by adapting the C4.5 algorithm to the DM45 algorithm. The proposed adaptations include (1) the utilization of a decision log, (2) ensure an unpruned decision tree, (3) the generation DMN, and (4) normalize decision table. Future research can focus on supporting on practitioners in modeling decisions, ensuring their decision-making is compliant, and suggesting improvements to the modeled decisions. Another future research direction is to explore the ability to process unstructured data as input for the discovery of decisions.
MULTIFILE
The project is a field study for several diverse hotel chains, including individual properties operated under the Marriott brand, Postillion Hotels. Each brand has unique values, missions, and visions. Therefore, this integration will lead to the development of company-specific sustainability strategies and processes. The study will use the model of levers of control to provide such tailor-made solutions and determine if a generic approach can be developed to match a corporate sustainability strategy with a corporate strategy and develop a supporting management control system for operationalizing the sustainability strategy. Research question: How can a hotel brand formulate and implement a sustainability strategy with a supporting management control system that not only complies with the new CSRD (Corporate Sustainability Reporting Directive) legislation but also emphasizes the creation of substantial value in financial and ESG (Environmental, Social, and Governance) aspects, based on double materiality, in line with the organization's corporate values and beliefs? Objective The aim is to develop a validated method, including tools, that hotels can use to create a sustainability strategy in line with the CSRD guidelines. This strategy should create value for the organization, the environment, and society, while aligning with the hotel's values and beliefs. Merely being compliant with the CSRD is not enough for hotels. Instead, they should view the implementation of the CSRD as an opportunity to stand out in terms of sustainability. By creating value in areas such as environment, safety, and governance, or through the six capitals (financial, manufactured, intellectual, human, social and relationship, and natural) that align with the UN-SDGs, and explicitly taking both an inside-out and an outside in perspective (double materiality), hotels can significantly enhance their sustainability reputation.
This project assists architects and engineers to validate their strategies and methods, respectively, toward a sustainable design practice. The aim is to develop prototype intelligent tools to forecast the carbon footprint of a building in the initial design process given the visual representations of space layout. The prediction of carbon emission (both embodied and operational) in the primary stages of architectural design, can have a long-lasting impact on the carbon footprint of a building. In the current design strategy, emission measures are considered only at the final phase of the design process once major parameters of space configuration such as volume, compactness, envelope, and materials are fixed. The emission assessment only at the final phase of the building design is due to the costly and inefficient interaction between the architect and the consultant. This proposal offers a method to automate the exchange between the designer and the engineer using a computer vision tool that reads the architectural drawings and estimates the carbon emission at each design iteration. The tool is directly used by the designer to track the effectiveness of every design choice on emission score. In turn, the engineering firm adapts the tool to calculate the emission for a future building directly from visual models such as shared Revit documents. The building realization is predominantly visual at the early design stages. Thus, computer vision is a promising technology to infer visual attributes, from architectural drawings, to calculate the carbon footprint of the building. The data collection for training and evaluation of the computer vision model and machine learning framework is the main challenge of the project. Our consortium provides the required resources and expertise to develop trustworthy data for predicting emission scores directly from architectural drawings.
It is VHL’s mission to train high-quality, committed and innovative professionals who con-tribute to a more sustainable world , and who are able to organize and manage multi-stakeholder processes for sustainable change: graduates with transdisciplinary competences. Secondly, VHL aims to contribute to the SDG-agenda by linking its education and applied research to eight particular SDGs of which Resilient Communities is one. However, to operationalize SDGs in practice, and aligning targets and strategies of different stakeholders is difficult: ‘resilience’ and ‘sustainability’ refer to ‘wicked problems’ for which no definitive problem formulation, nor clear-cut solutions exist. Addressing wicked problems like ‘resilience’ and ‘sustainability’ requires transdisciplinary collaboration to manage and transform divergent values and conflicting interests, and to co-create sustainable innovations. This HBO postdoc views the 17 SDGs as a compass to align targets and strategies of citizens, government, civil society organizations, private sector and knowledge institutes who collaborate in Living Labs of VHL focusing on resilient communities/regions. Through spiraling action-reflection cycles, stakeholders will use the SDG compass to make success mechanisms, obstacles and trade-offs visible, assuming they stay engaged to overcome difficulties to improve interventions and innovations; this is expected to result in adapted sustainability practices and lessons learned on reaching community resilience. The postdoc’s aim is two-fold highlighting the link between research and education: (1) Design a methodology to integrate SDGs effectively in VHL’s applied research: using the SDGs as compass to improve performance and outcomes of transdisciplinary collaborations. (2) Develop a Roadmap for transdisciplinary education at course, curriculum, and institutional level with SDGs as compass. Future graduates require the competence to work together with others outside one own’s discipline, institute, culture or context. Living Labs offer a suitable learning environment to develop this competence
