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Wat kan de zorg leren van Quick Response implementatieprojecten in de maakindustrie? In hoeverre kan Quick Response Manufacturing een oplossing bieden voor de ketenproblemen in de zorg? Op basis van ervaringen met QRM in de maakindustrie is beredeneerd of het mogelijk is om in de zorg meer de focus op tijd te leggen om doorlooptijden en afstemmingsproblemen in de zorgketen te verminderen. De belangrijkste uitgangspunten voor het toepassen QRM in de maakindustrie zijn aanwezig in de zorg. Er is variabiliteit in de klantvraag, behoefte aan klantspecifieke oplossingen, een functionele inrichting van zorgprocessen en behoefte aan snelheid. Net als in de maakindustrie is Lean in de zorg vrij breed omarmd, maar blijkt niet dé oplossing voor alle ketenproblemen.
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De laatste decennia is tijd een strategische concurrentiefactor geworden in de maakindustrie (Demeter, 2013; Godinho Filho et al., 2017a; Gromova, 2020). Naast tijdige levering verwacht de klant ook keuze, maatwerk, hoge kwaliteit en een lage prijs (Siong et al., 2018; Suri, 2020). Om de door de klant gewenste korte doorlooptijd te kunnen realiseren en daarbij ook te voldoen aan zijn andere eisen, zijn flexibiliteit en aanpassingsvermogen essentieel geworden (Godinho Filho et al., 2017b; Siong et al., 2018). Quick Response Manufacturing (QRM) heeft als doel de doorlooptijd te verkorten in productieomgevingen die gekenmerkt worden door een hoge variëteit in producten en maatwerk (Suri, 2020; Siong et al., 2018). QRM kent zijn oorsprong begin jaren negentig van de vorige eeuw (Suri, 2020) en vertoont sterke gelijkenis met lean manufacturing. Het verschil met lean manufacturing is echter dat QRM zich richt op bedrijven in een omgeving met veel productvariatie. Daarnaast heeft QRM nieuwe elementen toegevoegd, zoals Paired-cell Overlapping Loops of Cards with Authorization (POLCA) en Manufacturing Critical Path Time’ (MCT)’ (Godinho Filho et al., 2017b).
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In the literature about web survey methodology, significant eorts have been made to understand the role of time-invariant factors (e.g. gender, education and marital status) in (non-)response mechanisms. Time-invariant factors alone, however, cannot account for most variations in (non-)responses, especially fluctuations of response rates over time. This observation inspires us to investigate the counterpart of time-invariant factors, namely time-varying factors and the potential role they play in web survey (non-)response. Specifically, we study the effects of time, weather and societal trends (derived from Google Trends data) on the daily (non-)response patterns of the 2016 and 2017 Dutch Health Surveys. Using discrete-time survival analysis, we find, among others, that weekends, holidays, pleasant weather, disease outbreaks and terrorism salience are associated with fewer responses. Furthermore, we show that using these variables alone achieves satisfactory prediction accuracy of both daily and cumulative response rates when the trained model is applied to future unseen data. This approach has the further benefit of requiring only non-personal contextual information and thus involving no privacy issues. We discuss the implications of the study for survey research and data collection.
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Deelnemers: 15 Op woensdag 15 februari gaan Pascal Pollet en Jannes Slomp in op de planningsproblematiek waar veel high-variety/low-volume bedrijven mee worstelen en de vaak beperkte effectiviteit van planningtools. In de workshop komt de link tussen product-, productie- en besturingsstructuur aan de orde. Ook wordt ingegaan op verschillende planningssystemen en de achterliggende principes. Deelnemers worden uitgedaagd om de eigen situatie kritisch te analyseren en systematisch te zoeken naar verbeteringen. WAT NEMEN DEELNEMERS MEE? De deelnemer (planner, productiemanager, plantmanager) krijgt inzicht in de problematiek van planning in een high-variety/low-volume omgeving en manieren waarop hij/zij deze problematiek kan verlichten. Op basis hiervan maakt en bespreekt de deelnemer een verbeterplan voor de eigen situatie. WERKVORM Naast de benodigde theorie en bespreking van casussen zal er ruim tijd zijn voor oefeningen en kleine games die de kracht en de werkzaamheid van de verschillende principes duidelijk maken. Ook is er ruimte voor discussie. Pascal Pollet Pascal Pollet heeft een grondige ervaring in lean manufacturing en in de implementatie van zelfsturende systemen. Sinds 2009 helpt hij bedrijven om hun levertijd radicaal te verkorten met de 'quick response manufacturing'-strategie.
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Op donderdag 29 september gaan Pascal Pollet en Jannes Slomp in op de planningsproblematiek waar veel high-variety/low-volume bedrijven mee worstelen en de vaak beperkte effectiviteit van planningtools. In de workshop komt de link tussen product-, productie- en besturingsstructuur aan de orde. Ook wordt ingegaan op verschillende planningssystemen en de achterliggende principes. Deelnemers worden uitgedaagd om de eigen situatie kritisch te analyseren en systematisch te zoeken naar verbeteringen. WAT NEMEN DEELNEMERS MEE? De deelnemer (planner, productiemanager, plantmanager) krijgt inzicht in de problematiek van planning in een high-variety/low-volume omgeving en manieren waarop hij/zij deze problematiek kan verlichten. Op basis hiervan maakt en bespreekt de deelnemer een verbeterplan voor de eigen situatie. WERKVORM Naast de benodigde theorie en bespreking van casussen zal er ruim tijd zijn voor oefeningen en kleine games die de kracht en de werkzaamheid van de verschillende principes duidelijk maken. Ook is er ruimte voor discussie. Pascal Pollet Pascal Pollet heeft een grondige ervaring in lean manufacturing en in de implementatie van zelfsturende systemen. Sinds 2009 helpt hij bedrijven om hun levertijd radicaal te verkorten met de 'quick response manufacturing'-strategie.
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The contribution of purchasing to the development and growth of small- and medium-sized enterprises (SMEs) and the overall performance of supply chain has been neither rigorously examined nor empirically substantiated. This paper provides empirical evidence on how purchasing variables (relationship, product quality and quantity, and price) contribute to the development and growth of SMEs in Tanzania. In this study, it was found that poor relationships between suppliers and SMEs and low quality of products sold by SMEs affect the provision of service to customers and lead to poor development and growth of SMEs while high prices of products and low quantity of goods have no direct effect. Conclusions drawn include: SMEs can improve the supplier relationship, e.g., by finding alternative product sources at low prices but not at the expense of quality, and by ordering the products from suppliers on time to avoid late delivery and stock depletion.
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Setting up strategic alliances and trying to attain the intended goals is a highrisk venture. Most research into this topic is confined to already established alliances. This research will focus on perceived performance risks by organizations considering a possible strategic venture. Following other scholars, we focus on performance risks. But unlike previous research we have made an effort to uncover the underlying dimensions of these risks. We will show that the risk perception influences the readiness towards the possible setup of a strategic alliance. Organizations with a high risk perception are less inclined to set-up a strategic alliance. Although we expected that organizations with a higher risk perception would also opt for more risk mitigation, our findings shows the opposite. The research shows that the ability to improve processes is an intermediate explaining variable. Organizations accustomed to continuous improvement and integral quality management have a lower risk perception towards the set up of strategic alliances and also show more readiness to take risk mitigation measures.
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The world is changing fast, and technology is becoming smarter and more intelligent. As Artificial Intelligence dominates the conversation — with Quantum Computing, Synthetic Data, and Organoid Intelligence on the horizon — designers face an urgent question: Are we heading toward Utopian or Dystopian digital futures? This proceedings, featuring 11 in-depth contributions, addresses how these rapid digital developments fundamentally influence the work of the designer, the design process, and the applied design researcher. The authors are not looking for quick answers, but try to determine the future questions that emerge from the interaction between design and AI. The authors explore the challenges and opportunities AI presents to the design profession, discussing the value of human creativity when AI can generate unlimited amounts of creative content instantly. This publication is a necessary exploration for the community of Applied Design Researchers, seeking the right questions to deal with the complex relationship between design and an increasingly intelligent world. This publication documents the results of the NADR 2025 knowledge cycle. Each year, NADR explores a specific research theme, supporting an exchange of knowledge and experience to further develop the field of Applied Design Research. The proceedings were presented at the NADR symposium on October 20, 2025, during the Dutch Design Week in Eindhoven.
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From the article: Abstract The Information Axiom in axiomatic design states that minimising information is always desirable. Information in design may be considered to be a form of chaos and therefore is unwanted. Chaos leads to a lack of regularities in the design and unregulated issues tend to behave stochastically. Obviously, it is hard to satisfy the FRs of a design when it behaves stochastically. Following a recently presented and somewhat broader categorization of information, it appears to cause the most complication when information moves from the unrecognised to the recognised. The paper investigates how unrecognised information may be found and if it is found, how it can be addressed. Best practices for these investigations are derived from the Cynefin methodology. The Axiomatic Maturity Diagram is applied to address unrecognised information and to investigate how order can be restored. Two cases are applied as examples to explain the vexatious behaviour of unrecognised information.
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Peer reviewed research paper SEFI Engineering Education congress 2018 Within higher engineering education, students have to learn to close knowledge gaps that arise in professional assignments, such as capstone projects. These knowledge gaps can be closed through simple inquiry, but can also require more rigorous research. Since professionals work under tight constraints, they face constant trade-offs between quality, risk and efficiency to find answers that are acceptable. This means engineers use pragmatic research tactics that aim for the highest chance to find answers that fit sufficiently to close knowledge gaps in order to solve the problem with optimal use of time and resources. The problem is that research and problem-solving literature richly supplies solid strategies suitable to plan the research in projects as a whole, but hardly supplies flexible tactics to search for information within a project. This paper reports pragmatic tactics that starting bachelor engineering professionals use to acquire sufficiently good answers to questions that arise in the context of their assignments. For this, we conducted semi-structured interviews among computer science engineers with three to five years of work experience. The study reveals three pragmatic tactics: concentric, iterative and probe-response. The ambition level of the project determines when questions are sufficiently answered, and we distinguish tree sufficiency levels: check for viable answer, boost critical demand and change the game. The aim of this research is to add a view that makes pragmatic research choices for novice engineers more open to discussion and realistic.
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