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Strain gauge loadcells have been used for many years to measure the contents weight of tanks, hoppers and the many various specialist processing vessels found in industrial manufacturing processes. Many of these applications have been extremely successful, providing the user with accurate and repeatable measurements with which to monitor and control chemically reactive, sometimes complex, blending operations. The benefits of a non‐contact measurement which is a direct indication of weight are self evident and have brought a reduction in manufacturing costs and improvement of product quality to those companies which have correctly applied the technique.

Integrated care presents health workforce planners with significant uncertainty. This results from: (1) these workforces are likely in the future to be different from the present, (2) integrated care's variable definitions and (3) workforce policy and planning is not familiar with addressing such challenges. One means to deal with uncertainty is scenario analysis. In this study we reveal some integration-supportive workforce governance and planning policies that were derived from the application of scenario analysis.

Through a mixed methods design that applies content analysis, scenario construction and the policy Delphi method, we analysed a set of New Zealand's older persons health sector workforce scenarios. Developed from data gathered from workforce documents and studies, the scenarios were evaluated by a suitably qualified panel, and derived policy statements were assessed for desirability and feasibility.

One scenario was found to be most favourable, based on its broad focus, inclusion of prevention and references to patient dignity, although funding changes were indicated as necessary for its realisation. The integration-supportive policies are based on promoting network-based care models, patient-centric funding that promotes collaboration and the enhancement of interprofessional education and educator involvement.

Scenario analysis for policy production is rare in health workforce planning. We show how it is possible to identify policies to address an integrated care workforce's development using this method. The article provides value for planners and decision-makers by identifying the pros and cons of future situations and offers guidance on how to reduce uncertainty through policy rehearsal and reflection.

The present research aims to develop and test an evaluation support model for decisions alert soil surface saving to be used in the redevelopment of abandoned and degraded properties through involvement of private developers.

Adapting operations research principles to the public–private partnership features that are typical of urban planning issues, the model pursues a complex objective function, that concerns urban parameters to be attributed to properties to be recovered. An elaboration of a Pareto-optimal frontier has defined possible scenarios for different trends of the variables under consideration.

The efficiency of the model is verified through application to a real case study concerning urban renewal of a property in disuse located in a city in Southern Italy. The outputs confirm the potentialities and flexibility of the proposed model to support urban planning decisions by improving the implementation of conservation policies, in terms of a reduced impact of urban transformation projects on the available natural land surface.

Depending on the objectives of public sector, the model can generate a range of urban parameter combinations to be attributed to the recovered properties to achieve low consumption of natural surfaces, with bargaining between the public and private sectors around these parameters. The model can also be used in the initial phases of the renewal initiative, when it is necessary to define the costs and the revenues involved or to assess alternative solutions capable of reducing impacts on the environment.

The model can be applied to identify the appropriate rewards in a project that can stimulate the private developers to realize further public infrastructures and services than minimum quantities established by the current local urban regulations. In this sense, the model represents an original scientific reference in the current strategies promoted by the European Union for achievement of a “no net land take” by 2050, aimed at reducing natural surface occupied by buildings and roads.