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Climate change is upon us, and the soft landing window has almost certainly closed given the current pace of response. But climate change is only one of the huge issues facing humanity – indeed, the planetary boundaries model (Rockström et al., 2009; Steffen et al., 2015) ranks biodiversity loss and biochemical flows even further along the path of irreversible planet-threatening change. In the face of powerful inertia, how can we at least shape the hard landing that seems inevitable, where civilization as we know it will likely collapse to support the rising of much better ones? The SDG Transformations Forum supports development of powerful T-systems as a purposeful transformation strategy with this goal. To do so, the Forum has developed a strategy drawing from leading knowledge about how transformation happens, and creating systems change communities that are applying and advancing the strategy in the experimental, adaptive manner focused on deep learning and radical action.

The purpose of this work is to apply a recently proposed constitutive model for mechanically induced martensitic transformations to the prediction of transformation loci. Additionally, this study aims to elucidate if a stress-assisted criterion can account for transformations in the so-called strain-induced regime.

The model is derived by generalising the stress-based criterion of Patel and Cohen (1953), relying on lattice information obtained using the Phenomenological Theory of Martensite Crystallography. Transformation multipliers (cf. plastic multipliers) are introduced, from which the martensite volume fraction evolution ensues. The associated transformation functions provide a variant selection mechanism. Austenite plasticity follows a classical single crystal formulation, to account for transformations in the strain-induced regime. The resulting model is incorporated into a fully implicit RVE-based computational homogenisation finite element code.

Results show good agreement with experimental data for a meta-stable austenitic stainless steel. In particular, the transformation locus is well reproduced, even in a material with considerable slip plasticity at the martensite onset, corroborating the hypothesis that an energy-based criterion can account for transformations in both stress-assisted and strain-induced regimes.

A recently developed constitutive model for mechanically induced martensitic transformations is further assessed and validated. Its formulation is fundamentally based on a physical metallurgical mechanism and derived in a thermodynamically consistent way, inheriting a consistent mechanical dissipation. This model draws on a reduced number of phenomenological elements and is a step towards the fully predictive modelling of materials that exhibit such phenomena.

The purpose of this paper is to present a visual detection approach to predict the poses of target objects placed in arbitrary positions before completing the corresponding tasks in mobile robotic manufacturing systems.

A hybrid visual detection approach that combines monocular vision and laser ranging is proposed based on an eye-in-hand vision system. The laser displacement sensor is adopted to achieve normal alignment for an arbitrary plane and obtain depth information. The monocular camera measures the two-dimensional image information. In addition, a robot hand-eye relationship calibration method is presented in this paper.

First, a hybrid visual detection approach for mobile robotic manufacturing systems is proposed. This detection approach is based on an eye-in-hand vision system consisting of one monocular camera and three laser displacement sensors and it can achieve normal alignment for an arbitrary plane and spatial positioning of the workpiece. Second, based on this vision system, a robot hand-eye relationship calibration method is presented and it was successfully applied to a mobile robotic manufacturing system designed by the authors’ team. As a result, the relationship between the workpiece coordinate system and the end-effector coordinate system could be established accurately.

This approach can quickly and accurately establish the relationship between the coordinate system of the workpiece and that of the end-effector. The normal alignment accuracy of the hand-eye vision system was less than 0.5° and the spatial positioning accuracy could reach 0.5 mm.

This approach can achieve normal alignment for arbitrary planes and spatial positioning of the workpiece and it can quickly establish the pose relationship between the workpiece and end-effector coordinate systems. Moreover, the proposed approach can significantly improve the work efficiency, flexibility and intelligence of mobile robotic manufacturing systems.

This paper explores sustainability within supply chain management and its link towards resilience through the lens of ethics. The wicked problem of sustainability impacts supply chains and society at large, and the ability of supply chains to remain viable in the future is based on the sustainability of business practices. The paper argues that a substantive proportion of sustainability mechanisms (such as the Triple Bottom Line approach and codes of conducts) can be viewed within the ethical paradigm of deontology, whereby the morality of an action is based on adherence to rules. However, there are numerous critiques of such approaches and their success in creating more sustainable practices. Therefore, the paper proposes there is a need for systems thinking approaches to be incorporated into the exploration of the link between ethics, sustainability and supply chain resilience. Using two examples of social sustainability issues in Australia – modern slavery legislation and horticultural ¹ worker exploitation – the paper demonstrates the utility of various systems thinking methodologies to explore the complexity of these issues. The paper sets out a conceptual call to arms for researchers and practitioners to apply a holistic lens towards how the morality of actions is shaped and influences supply chain sustainability practices.

We outline a developmental view of OD, showing on empirical grounds that Argyris’ “theory in use” notion points to different levels of mental growth as underpinnings of “the program in brain/mind” that determines personal theories of organizational action. Employing the developmental structure/process tool (DSPT^TM), we explain the differences between two executives’ theory of action. We also analyze the dynamic of a six‐member team on developmental grounds. By way of close analysis, we show that theories of action are developmentally grounded, and are thus open both to maturation over the life span and to interventions like developmental coaching. We come to the conclusion that developmental assessment of executives and teams should become a vital part of in‐house development and of OD intervention.

This paper takes the view that the design of information systems which both do the job they were designed for and are culturally acceptable is rare, and that the problem does not lie squarely at the door of unreliable technology or bad systems design. The number of methodologies available which are intended to enable us to design and build information systems has grown rapidly over the last decade or so; one of the outcomes of this is a number of highly structured and mechanistic formulae which assume that people know from the outset what information they want, where they want it to go and how they want it to be delivered. This paper argues that this general assumption is false and has resulted in inadequate and inflexible information systems which quickly assume dinosaur status, or which are rejected by users. A common prerequisite of such methodologies is that a problem has been defined (which the eventual system will solve), and that the organisational and cultural context within which the problem exists is agreed and understood. This is of course sometimes the case but it should not be assumed to be generally true. The view is taken here that more effective information systems are designed when some time is spent at the beginning of the analysis exploring the environment in which the system will operate, and account is taken of the possibly different views of this which may be held by people who work within the situation. Additionally, distinctions need to be made between what information is needed and how it will be delivered. This could be viewed as an important distinction between information and communication systems which has to be understood before organisations can make expensive procurement decisions about communications technology and hardware. The outcome of this process would be an analysis of information requirements using models which were closer to agreed views of the situation. It could also of course usefully generate debate about desired changes to current systems and therefore would be more likely to result in the design of information systems which matched organisational strategy and development. Checkland's Soft Systems Methodology is examined as a useful methodology to use in this context. Its fundamental features are described and examples of models are shown to demonstrate how the methodology can facilitate analysis of communication requirements.

The purpose of this study is to identify the drivers and future scenarios of Iran’s Social Security Organization.

The research is applied in terms of orientation and mixed in terms of methodology. In this research, the methods of theme analysis, root definitions, fuzzy Delphi and Cocoso were used. The theoretical population is the managers and senior experts of the social security organization, and the sampling method was done in a judgmental way. The tools of data collection were interviews and questionnaires. The interview tool was used to extract the main and subdrivers of the research and develop the scenarios.

Through theme analysis, 35 subdrivers were extracted in the form of economic, sociocultural, financial and investment, policy, marketing, environmental and legal themes. Due to the large number of subdrivers, these factors were screened with fuzzy Delphi. Eleven drivers had defuzzied coefficient higher than 0.7 and were selected for final prioritization. The final drivers were prioritized with the CoCoSo technique, and the two drivers of social security holdings governance and state of government revenues had the highest priority. Based on these two drivers, four scenarios of prosperity, resilient social security, unstable development and collapse have been developed.

Some of the suggestions of the research are: using the capacity of FinTechs and financial startups to invest the government revenues of the organization, using digital technologies such as business intelligence for more efficient decisions and developing corporate governance in the organization.

Soft systems methodology (SSM) is an approach to modelling human activity systems that is becoming increasingly popular as a means of learning about, and improving, such systems. Any system that involves humans engaged in purposeful activity can be modelled using SSM. Gives an overview of the methodology and its development, indicating the ways in which it can assist managers in the development of improved systems.

Complexity and a focus upon operations characterize the modern hospitality industry, and this often prevents management from spending time on reviewing strategic business activities. This article argues that soft systems methodology can be a useful tool to understand and map complexity and to solve problems. This approach is demonstrated in practice through the use of a fictional case study of the Faraway Hotel, where soft systems analysis helped the owner to think more objectively about improving his business.

The purpose of this paper is to investigate the impact of defects on the satisfaction of residential construction customers. Three working hypotheses were tested: first, defects in residential construction impact the customer satisfaction; second, different defects have different impacts on customer satisfaction; and third, interviewing customers about defects in their residential units is not a reliable method to collect data.

The research investigated correlations between data on defects and customer satisfaction surveys carried out by a construction company on its projects. Data were cross-checked to determine what kinds of defects have the worse impact on customer satisfaction.

The occurrence of defects does not necessarily jeopardize customer satisfaction, although it appears to be a concern to the customers who responded to the survey. When the occurrence of defects did interfere with customer satisfaction, it was found that the worse impacts resulted from the occurrence of multiple defects in a single unit, the inability of the construction company to communicate with the customer after a claim was filed, and the occurrence of functional defects. Results suggest that interviewing customers about the defect occurrence in their units is not a reliable method to collect data for research purposes.

Results can be used to help companies better define continuous improvement activities and avoid the occurrence of defects that cause the worse impacts to customer satisfaction.

Data availability is a challenge for studies on defects. This study had direct access to data from a construction company, which made the presented analyses possible.