Uit het rapport: "De opgave voor sociale woningbouwrenovatie in Nederland is enorm. De woningen moeten na renovatie veel energiezuiniger zijn. Maar corporaties en bewoners willen de renovatie snel, van hoge kwaliteit, duurzaam, goedkoop en met weinig overlast. De bouwsector heeft grote moeite om aan deze verwachtingen te voldoen, zeker nu een tekort aan gekwalificeerde arbeid dreigt. De bouwbedrijven hebben de afgelopen jaren niet stilgezeten. Bouwbedrijven passen lean-principes toe en de realisatie van sociale woningbouwprojecten is duidelijk beter onder controle. Maar het proces voorafgaand aan de realisatie van de sociale woningbouwrenovatie (het voortraject) is vaak verre van optimaal. Actoren in dit voortraject geven aan dat er sprake is van miscommunicatie, late wijzigingsvoorstellen, gebrekkige sturing en omissies. Het gevolg is dat de bouwpartijen in het voortraject van sociale woningbouwrenovaties relatief veel kosten maken, het voortraject lang duurt en niet optimaal is. In het kader van een SIA RAAK MKB-project beantwoorden lectoraten van HU en HAN samen met opleidingen en bedrijfsleven de vraag: Hoe kan het voortraject van sociale woningbouwrenovatieprojecten efficiënter en effectiever gemaakt worden vanuit een algemene procesaanpak (toolbox) inclusief bijbehorend procesinstrumentarium (tools) die naar gelang de situatie flexibel kan worden ingezet? Centraal in het project staat het vormgeven van een toolbox die helpt bij het opzetten van een beheerssysteem voor het efficiënt doorlopen van het voortraject (definitie, ontwerp en voorbereiding) van sociale woningbouwrenovatieprojecten. Figuur 1 geeft het basismodel weer dat ten grondslag ligt aan het onderzoek. Voor een goed beheerssysteem is kennis nodig van beheersconcepten, methoden en technieken (pijl 1) én van de kritieke succesfactoren van bouwprojecten (pijl 2). Een goed beheerssysteem is in staat om met de juiste beheersconcepten de kritieke succesfactoren te monitoren en te sturen om op deze wijze te komen tot een effectief en efficiënt voortraject (pijl 3). Dit voortraject bereidt de projectuitvoering voor (pijl 4). Samen bepalen ze het uiteindelijke succes van een bouwproject (pijl 5). Kritieke succesfactoren kunnen achterhaald worden door het succes (of falen) van complete bouwprojecten te analyseren (pijl 6). Kenmerken van het bouwproject zijn in belangrijke mate bepalend voor de invulling van de verschillende elementen in het denkmodel. Dit eerste deelrapport behandelt de eerste stap in het onderzoek: een inventarisatie van gehanteerde beheersconcepten. In het bijzonder de beheersconcepten die een link hebben met de gedachten rond lean. De onderzoekers hebben zich vooral gericht op beheersconcepten die vanaf de tweede helft van de vorige eeuw zijn ontstaan. Daarmee geven de onderzoekers niet aan dat traditionele beheersconcepten niet goed zijn. Deze concepten zijn echter alom bekend. In de bouwbranche kent eenieder de traditionele samenwerking waarbij de opdrachtgever een bestek “op de markt zet” en de laagste bieder het ontwerp mag uitvoeren. De onderzoekers beschrijven de kenmerken van 14 concepten met behulp van bestaande literatuur over deze concepten. De concepten staan in de volgende 14 hoofdstukken steeds op dezelfde manier omschreven. Eerst omschrijven de onderzoekers de kenmerken van het concept. De kenmerken staan in de tekst vetgedrukt aangegeven. Vervolgens gaan de onderzoekers in op de situatie waarbij het concept toepasbaar is. Ook de voorwaarden om het concept toe te passen staan vetgedrukt aangegeven. Daarna geven de onderzoekers aan waaraan het concept bijdraagt, ook weer vetgedrukt per aspect. De vetgedrukte onderdelen komen terug in de conclusie. De onderzoekers sluiten een hoofdstuk steeds af met een lijst met interessante literatuur over het concept. In de conclusie maken de onderzoekers een koppeling tussen de kenmerken, de voorwaarden en de doelen van de 14 concepten en de kritieke succesfactoren zoals deze door Chua, Kog en Loh (Critical Success Factors fot Different Project Objectives, 1999) worden omschreven. De onderzoekers hebben deze conclusie gebruikt om tot de volgende stap in het onderzoek te komen."
The proceedings contain 24 papers. The special focus in this conference is on Challenging the Future with Lean. The topics include: A Confrontation Between Lean Thinking and Postmetaphysical Philosophy; barriers and Enablers of Lean Industry 4.0; how Organizations Can Harness Continuous Improvement Practices to Develop Their Data Analytic Capability: A Conceptual Paper; Introducing DACAR: A Process Mapping Tool to Uncover Robotization Implications in Manufacturing; toward 1+1 = 3 with Lean Robotics: The Introduction of a Human-Centered Robotization Method; digital Tools Supporting Lean Program in a Multinational Enterprise; lean Planning & Control in a High-Variety/Low-Volume Environment; sustainability Struggles: Investigating the Interactions of Lean Practices and Barriers to Environmental Performance in Manufacturing; Investigating the Relationship Among Lean Manufacturing Practices to Improved Eco-Efficiency Performance: A Fuzzy DEMATEL Analysis; The Contribution of SMED to the Sustainability of Organizations; hoshin Kanri for Social Enterprises - Co-visualizing Values-Based Strategic Plans; integration of a Robot Solution in a Manufacturing Environment: A Serious Gaming Approach; using Games and Simulations to Facilitate Generative Conflict; the Influence of Learning Styles on the Perception of Lean Implementation Effectiveness by Employees; current State of Practice in Developing Lean Six Sigma Training and Certification Programs -an Irish Perspective; improving the Success Rate of Lean-Themed Internships; serious Games as a Lean Construction Teaching Method - A Conceptual Framework; The Impact of SMED on Productivity and Safety; a Systematic Literature Review on the Use of Lean Methodologies in Enterprise Sales Processes; the First Chapter of a Regional Deployment of a Continuous Improvement Program in a Medical Device Company.
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This paper presents work aimed at improved organization and performance of production in housing renovation projects. The purpose is to explore and demonstrate the potential of lean work organization and industrialized product technology to improve workflow and productive time. The research included selected case studies that have been found to implement lean work organization and industrialized product technology in an experimental setting. Adjustments to the work organization and construction technology have been implemented on site. The effects of the adjustments have been measured and were reviewed with operatives and managers. The data have been collected and analyzed, in comparison to traditional settings. Two projects were studied. The first case implied am application of lean work organization in which labor was reorganized redistributing and balancing operations among operatives of different trades. In the second case industrialized solution for prefabricated installation of prefabricated roofs. In both cases the labor productivity increased substantially compared to traditional situations. Although the limited number of cases, both situations appeared to be representative for other housing projects. This has led to conclusions extrapolated from both cases applicable to other projects, and contribution to the knowledge to improve production in construction. Vrijhoef, R. (2016). “Effects of Lean Work Organization and Industrialization on Workflow and Productive Time in Housing Renovation Projects.” In: Proc. 24 th Ann. Conf. of the Int’l. Group for Lean Construction, Boston, MA, USA, sect.2 pp. 63–72. Available at: .
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In order to stay competitive and respond to the increasing demand for steady and predictable aircraft turnaround times, process optimization has been identified by Maintenance, Repair and Overhaul (MRO) SMEs in the aviation industry as their key element for innovation. Indeed, MRO SMEs have always been looking for options to organize their work as efficient as possible, which often resulted in applying lean business organization solutions. However, their aircraft maintenance processes stay characterized by unpredictable process times and material requirements. Lean business methodologies are unable to change this fact. This problem is often compensated by large buffers in terms of time, personnel and parts, leading to a relatively expensive and inefficient process. To tackle this problem of unpredictability, MRO SMEs want to explore the possibilities of data mining: the exploration and analysis of large quantities of their own historical maintenance data, with the meaning of discovering useful knowledge from seemingly unrelated data. Ideally, it will help predict failures in the maintenance process and thus better anticipate repair times and material requirements. With this, MRO SMEs face two challenges. First, the data they have available is often fragmented and non-transparent, while standardized data availability is a basic requirement for successful data analysis. Second, it is difficult to find meaningful patterns within these data sets because no operative system for data mining exists in the industry. This RAAK MKB project is initiated by the Aviation Academy of the Amsterdam University of Applied Sciences (Hogeschool van Amsterdan, hereinafter: HvA), in direct cooperation with the industry, to help MRO SMEs improve their maintenance process. Its main aim is to develop new knowledge of - and a method for - data mining. To do so, the current state of data presence within MRO SMEs is explored, mapped, categorized, cleaned and prepared. This will result in readable data sets that have predictive value for key elements of the maintenance process. Secondly, analysis principles are developed to interpret this data. These principles are translated into an easy-to-use data mining (IT)tool, helping MRO SMEs to predict their maintenance requirements in terms of costs and time, allowing them to adapt their maintenance process accordingly. In several case studies these products are tested and further improved. This is a resubmission of an earlier proposal dated October 2015 (3rd round) entitled ‘Data mining for MRO process optimization’ (number 2015-03-23M). We believe the merits of the proposal are substantial, and sufficient to be awarded a grant. The text of this submission is essentially unchanged from the previous proposal. Where text has been added – for clarification – this has been marked in yellow. Almost all of these new text parts are taken from our rebuttal (hoor en wederhoor), submitted in January 2016.
The research, supported by our partners, sets out to understand the drivers and barriers to sustainable logistics in port operations using a case study of drone package delivery at Rotterdam Port. Beyond the technical challenges of drone technology as an upcoming technology, it needs to be clarified how drones can operate within a port ecosystem and how they could contribute to sustainable logistics. KRVE (boatmen association), supported by other stakeholders of Rotterdam port, approached our school to conduct exploratory research. Rotterdam Port is the busiest port in Europe in terms of container volume. Thirty thousand vessels enter the port yearly, all needing various services, including deliveries. Around 120 packages/day are delivered to ships/offices onshore using small boats, cars, or trucks. Deliveries can take hours, although the distance to the receiver is close via the air. Around 80% of the packages are up to 20kg, with a maximum of 50kg. Typical content includes documents, spare parts, and samples for chemical analysis. Delivery of packages using drones has advantages compared with traditional transport methods: 1. It can save time, which is critical to port operators and ship owners trying to reduce mooring costs. 2. It can increase logistic efficiency by streamlining operations. 3. It can reduce carbon emissions by limiting the use of diesel engines, boats, cars, and trucks. 4. It can reduce potential accidents involving people in dangerous environments. The research will highlight whether drones can create value (economic, environmental, social) for logistics in port operations. The research output links to key national logistic agenda topics such as a circular economy with the development of innovative logistic ecosystems, energy transition with the reduction of carbon emissions, societal earning potential where new technology can stimulate the economy, digitalization, key enabling technology for lean operations, and opportunities for innovative business models.
The proposed study is focused on finding out whether Virtual Reality is a feasible method to train for composite manufacturing. The demand for cost-effective training methods for composite production is growing. The current training methods are not satisfying the demands of the fast-growing industry. This could be solved with the help of Virtual Reality (VR), potentially cutting down training time and use of material, hence reducing costs. This project will create insight into the technical and economic feasibility of this idea. This will be achieved with interns from Inholland, lecturer and researchers.
