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The purpose of this paper is to use a descriptive case study to establish how collaboration, innovation and knowledge‐management strategies have scaled‐up learning and development in rural, remote and other resource‐constrained Canadian delivery settings.

Intervention design was realized through a one‐time, collaborative, national capacity‐building project. A project portfolio of 72 sub‐projects, initiatives and strategic activities was used to improve access, enhance quality and create capacity for palliative and end‐of‐life care services. Evaluation was multifaceted, including participatory action research, variance analysis and impact analysis. This has been supplemented by post‐intervention critical reflection and integration of relevant literature.

The purposeful use of collaboration, innovation and knowledge‐management strategies have been successfully used to support a rapid scaling‐up of learning and development interventions. This has enabled enhanced and new pan‐Canadian health delivery capacity implemented at the local service delivery catchment‐level.

The intervention is bounded by a Canada‐specific socio‐cultural/political context. Design variables and antecedent conditions may not be present and/or readily replicated in other nation‐state contexts. The findings suggest opportunities for future integrative and applied health services and policy research, including collaborative inquiry that weaves together concepts from adult learning, social science and industrial engineering.

Scaling‐up for new capacity is ideally approached as a holistic, multi‐faceted process which considers the total assets within delivery systems, service catchments and communities as potentially being engaged and deployed.

The Pallium Integrated Capacity‐building Initiative offers model elements useful to others seeking theory‐informed practices to rapidly and effectively scale‐up learning and development efforts.

We present a critical literature review debating Brazilian research on social and environmental accounting (SEA). The aim of this study is to understand the role of politics in the construction of hegemonies in SEA research in Brazil. In particular, we examine the role of hegemony in relation to the co-option of SEA literature and sustainability in the Brazilian context by the logic of development for economic growth in emerging economies. The methodological approach adopts a post-structural perspective that reflects Laclau and Mouffe’s discourse theory. The study employs a hermeneutical, rhetorical approach to understand and classify 352 Brazilian research articles on SEA. We employ Brown and Fraser’s (2006) categorizations of SEA literature to help in our analysis: the business case, the stakeholder–accountability approach, and the critical case. We argue that the business case is prominent in Brazilian studies. Second-stage analysis suggests that the major themes under discussion include measurement, consulting, and descriptive approach. We argue that these themes illustrate the degree of influence of the hegemonic politics relevant to emerging economics, as these themes predominantly concern economic growth and a capitalist context. This paper discusses trends and practices in the Brazilian literature on SEA and argues that the focus means that SEA avoids critical debates of the role of capitalist logics in an emerging economy concerning sustainability. We urge the Brazilian academy to understand the implications of its reifying agenda and engage, counter-hegemonically, in a social and political agenda beyond the hegemonic support of a particular set of capitalist interests.

The purpose of this paper is to construct a numerical model for the numerical analysis of the hydraulic transient profile in Trabalhador channel for filling and emptying maneuvers and to determine the water level in time. Model results support operational managers in the decision-making process.

Physical data were provided for the construction and calibration of the numerical model. The equations of Saint-Venant were approximated by a finite difference scheme and the numerical model was written in Fortran. The results of filling and emptying of the channel simulations were compared with the measured water levels.

Measured water levels and those simulated by the numerical model have shown good correlation. The time recorded for the filling and emptying of the canal was also close between the measured and simulated data. The simulation design flow pointed to inundation in the channel banks. Simulation water levels were slightly higher than those measured.

In this model, the combination of canals and pressure conduits was not considered.

The findings confirm the measured time for filling and emptying of the canal, as well as inundation of canal banks for the maximum design flow. These results help in the management process.

This paper presents a numerical model for hydraulic transient analysis in channels with good agreement with the field data.

This study aims to apply for the first time in literature a new multi-objective sensor selection and placement optimization methodology based on the multi-objective Lichtenberg algorithm and test the sensors' configuration found in a delamination identification case study.

This work aims to study the damage identification in an aircraft wing using the Lichtenberg and multi-objective Lichtenberg algorithms. The former is used to identify damages, while the last is associated with feature selection techniques to perform the first sensor placement optimization (SPO) methodology with variable sensor number. It is applied aiming for the largest amount of information about using the most used modal metrics in the literature and the smallest sensor number at the same time.

The proposed method was not only able to find a sensor configuration for each sensor number and modal metric but also found one that had full accuracy in identifying delamination location and severity considering triaxial modal displacements and minimal sensor number for all wing sections.

This study demonstrates for the first time in the literature how the most used modal metrics vary with the sensor number for an aircraft wing using a new multi-objective sensor selection and placement optimization methodology based on the multi-objective Lichtenberg algorithm.

The application of condition-based maintenance on selected equipment can allow online monitoring using fixed, half-fixed or portable sensors. The collected data not always allow a straightforward interpretation and many false alarms can happen. The paper aims to discuss these issues.

Statistical techniques can be used to perform early failure detection. With the application of Cumulative Sum (CUSUM) Modified Charts and the Exponentially Weighted Moving Average (EWMA) Charts, special causes of variation can be detected online and during the equipment functioning. Before applying these methods, it is important to check data for independence. When the independence condition is not verified, data should be modeled with an ARIMA (p, d, q) model. Parameters estimation is obtained using the Shewhart Traditional Charts.

With data monitoring and statistical methods, it is possible to detect any system or equipment failure trend, so that we can act at the right time to avoid catastrophic failures.

In this work, an electro pump condition is monitored. Through this process, an anomaly and four stages of aggravation are forced, and the CUSUM and EWMA modified control charts are applied to test an online equipment monitoring. When the detection occurs, the methodology will have rules to define the degree of intervention.

This paper aims to explore the optimization process involved in the aircraft maintenance allocation and packing problem. The aircraft industry misses a part of the optimization potential while developing maintenance plans. This research provides the modeling foundation for the missing part considering the failure behavior of components, costs involved with all maintenance tasks and opportunity costs.

The study models the cost-effectiveness of support against the availability to come up with an optimization problem. The mathematical problem was solved with an exact algorithm. Experiments were performed with real field and synthetically generated data, to validate the correctness of the model and its potential to provide more accurate and better engineered maintenance plans.

The solution procedure provided excellent results by enhancing the overall arrangement of the tasks, resulting in higher availability rates and a substantial decrease in total maintenance costs. In terms of situational awareness, it provides the user with the flexibility to better manage resource constraints while still achieving optimal results.

This is an innovative research providing a state-of-the-art mathematical model and an algorithm for efficiently solving a task allocation and packing problem by incorporating components’ due flight time, failure probability, task relationships, smart allocation of common preparation tasks, operational profile and resource limitations.

The essence of discounted cash flow valuation is simple; the asset is worth the expected cash flows it will generate, discounted to the reference date for the valuation exercise (normally, the day of the calculation). A survey article was written in Parker (1968), where it was stated that the earliest interest rate tables (use to discount value to the present) dated back to 1340. Works from Boulding (1935) and Keynes (1936) derived the IRR (Internal Rate of Return) for an investment. Samuelson (1937) compared the IRR and NPV (Net Present Value) approaches, arguing that rational investors should maximize NPV and not IRR. The previously mentioned works and the publication of Joel Dean’s reference book (Dean, 1951) on capital budgeting set the basis for the widespread use of the discounted cash flow approach into all business areas, aided by developments in portfolio theory. Nowadays, probably the model with more widespread use is the FCFE/FCFF (Free Cash Flow to Equity and Free Cash Flow to Firm) model. For simplification purposes, we will focus on the FCFE model, which basically is the FCF model’s version for the potential dividends. The focus is to value the business based on its dividends (potential or real), and thus care must be taken in order not to double count cash flows (this matter was treated in this case) and to assess what use is given to that excess cash flow – if it is invested wisely, what returns will come of them, how it is accounted for, etc. (Damodaran, 2006). The bridge to the FCFF model is straightforward; the FCFF includes FCFE and added cash that is owed to debtholders. References: Parker, R.H. (1968). “Discounted Cash Flow in Historical Perspective”, Journal of Accounting Research, v6, pp58-71. Boulding, K.E. (1935). “The Theory of a Single Investment”, Quarterly Journal of Economics, v49, pp479-494. Keynes, J. M. (1936). “The General Theory of Employment”, Macmillan, London. Samuelson, P. (1937). “Some Aspects of the Pure Theory of Capital”, Quarterly Journal of Economics, v51, pp. 469–496. Dean, Joel. (1951). “Capital Budgeting”, Columbia University Press, New York. Damodaran, A. (2006). “Damodaran on Valuation”, Second Edition, John Wiley and Sons, New York.

All information is taken from public sources and with consented company interviews.

Opportunities for value creation may be found in awkward and difficult circumstances. Good strategic thinking and ability to act swiftly are usually crucial to be able to take advantage of such tough environments. Amidst a country-wide economic crisis and general disbelief, José de Mello Group (JMG) saw one of its main assets’ (Brisa Highways) market value tumble down to unforeseen figures and was forced to act on it. Brisa’s main partners were eager in overpowering JMG’s control of the company, and outside pressure from Deutsche Bank was rising, due to the use of Brisa’s shares as collateral. JMG would have to revise its strategy and see if Brisa was worth fighting for; the market implicit assessment about the company’s prospects was very penalizing, but JMG’s predictions on Brisa’s future performance indicated that this could be an investment opportunity. Would it be wise to bet against the market?

This study is excellent for finance and strategy courses, at both undergraduate and graduate levels. Company valuation and corporate strategy are required.

The purpose of this paper is to identify how the relationship between inbound logistics (IL) activities and elements of resilience (EoR) can contribute to organisational resilience.

Two in-depth case-based studies were conducted in the dairy industry. After identifying EoR and IL activities through a systematic literature review, relationships among them have been empirically discussed in six groups (emerged content analysis results): supplier and response capability; transportation; security; quick response to disruption; logistics management; trust and knowledge.

A framework was developed describing the contribution of these six groups to organisational resilience by highlighting and discussing three aspects: rigidity of the hierarchy, type of relationship and geographical dispersion. These aspects emerged from the process of content analysis and are related to the companies’ characteristics.

The proposed framework can assist managers to decide which group of EoR and IL activities they should prioritise, depending on the company’s characteristics and needs.

Although some studies have discussed the IL contribution to generating resilience in companies, none of them have explored in detail the relationship between EoR and IL activities, and their contribution to organisational resilience. The proposed framework shows the contribution of the EoR to three different organisational aspects.

Textile manufacturers worldwide are reformulating their networks, often outsourcing them to maintain a competitive advantage and increase market share. From this perspective, the purpose of this study is support the partnership selection process to develop a sustainable chain that effectively meets customer needs. Brazil has the largest textile and apparel chain in the West and is distinguished by its completeness, from fiber production, spinning, weaving, knitting, finishing and sewing to fashion shows. However, a firm’s relationship, especially in the production stage, is based on informal contracts, which result in a negative operational impact.

A methodological framework was developed based on a stable matching process to determine the optimal supplier network structure. This study presents a model application for the denim apparel chain in northeast Brazil.

In these environments, providing choices and recommending suppliers can be beneficial for effectively attending to demand requests, reducing production costs and improving quality through collaboration with sense relationships in a network. Thus, this study presents a better match from the negotiators’ perspective.

The findings of this research are of primary interest for guiding collaborative network composition in the textile and apparel chain. In particular, apparel domain companies can improve their effectiveness in decision-making by measuring the characteristics and potential of all companies involved in networks.

The purpose of this paper is to discuss the causes for the discrepancy between the utilization of statistical process control (SPC) in services and manufacturing. Furthermore, an approach for integrating customer demands and technical aspects of a service is presented. Services are very often characterized by a large number of characteristics, with relatively few observations. This research addresses a methodology based on Z and W charts, proposing it for the control of service features. An example associated with service provision is presented to illustrate the computation of Z and W as well as its interpretation.

The shortcomings of traditional control charts are stated and compared with the control charts for Z and W. An example illustrates how to utilize these charts, their ability to monitor several characteristics simultaneously, along with a continuous monitoring of process capability.

The proposed approach allowed the representation of several process characteristics in the same charts, even when those characteristics are not collected with the same periodicity. The Z and W charts are dimensionless and can be applied whenever it is possible to estimate process parameters, being an interesting approach to be utilized in Phase 2 of SPC. The difficulty for identifying the existence of non-random patterns emerges as the major shortcoming for these charts.

The proposed approach is a contribute to overcoming the discrepancy that persists between the utilization of SPC in services and manufacturing. Nevertheless, service production and consumption are frequently simultaneous, which constitutes an issue hard to deal with that is not fully addressed in this piece of research. Furthermore, the Z charts also present some disadvantages, notably an increased difficulty for analyzing the existence of non-random patterns, which worsens as increases the number of products/quality characteristics to be checked.

The proposed charts are very flexible and provide a rational utilization of resources. In fact, the representation of several processes is possible, along with the traditional analysis of patterns, thus providing an effective approach for controlling services processes.

Several quantitative approaches that have been utilized in manufacturing for a long time are still scarce in services. However, services play a major role in modern economies, being clear that improvements in service provision might have a direct impact on society.

The approach was based on the utilization of Z/W with samples, but it can be extended to individual observations or even to the control of discrete variables. Additionally, a methodology for process capability analysis in real-time is also proposed.