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With the aggressive movement towards testing for COVID-19 across the globe, this study aims to shed light on how testing facilities perform in an operational perspective.

With 102 testing facilities in the Philippines, the relative efficiencies of each facility are quantified using a data envelopment analysis technique. Afterwards, a best-worst method was conducted to assign priority weights to each testing facility.

Results show that the proposed approach effectively prioritizes testing facilities that most likely have high utilization.

The findings in this study would be significant to the literature in a number of respects. For one, it reveals results that would stimulate the interest among scholars in a wide variety of disciplines such as management, data mining, policymaking, decision science and epidemiology, among others.

This study differs from previous works in a number of respects, particularly, in that to the best of the authors’ knowledge, this is the first study to examine the relative efficiencies of COVID-19 testing facilities.

This paper aims to define and describe test methods and metrics to assess industrial robot system agility in both simulation and in reality.

The paper describes test methods and associated quantitative and qualitative metrics for assessing robot system efficiency and effectiveness, which can then be used for the assessment of system agility.

The paper describes how the test methods were implemented in a simulation environment and real-world environment. It also shows how the metrics are measured and assessed as they would be in a future competition.

The test methods described in this paper will push forward the state of the art in software agility for manufacturing robots, allowing small and medium manufacturers to better utilize robotic systems.

The paper fulfills the identified need for standard test methods to measure and allow for improvement in software agility for manufacturing robots.

The purpose of this study is to evaluate the impact of food access and other vulnerability measures on the COVID-19 progression to inform the public health decision-makers while setting priority rules for vaccine schedules.

In this paper, the authors used the Supplemental Nutrition Assistance Program (SNAP) data combined with the Centers for Disease Control and Prevention (CDC)’s social vulnerability score variables and diabetes and obesity prevalence in a set of models to assess the associations with the COVID-19 prevalence and case-fatality rates in the United States (US) counties. Using the case prevalence estimates provided by these models, the authors developed a COVID-19 vulnerability score. The COVID-19 vulnerability score prioritization is then compared with the pro-rata approach commonly used for vaccine distribution.

The study found that the population proportion residing in a food desert is positively correlated with the COVID-19 prevalence. Similarly, the population proportion registered to SNAP is positively correlated with the COVID-19 prevalence. The findings demonstrate that commonly used pro-rata vaccine allocation can overlook vulnerable communities, which can eventually create disease hot-spots.

The proposed methodology provides a rapid and effective vaccine prioritization scoring. However, this scoring can also be considered for other humanitarian programs such as food aid and rapid test distribution in response to the current and future pandemics.

Humanitarian logistics domain predominantly relies on equity measures, where each jurisdiction receives resources proportional to their population. This study provides a tool to rapidly identify and prioritize vulnerable communities while determining vaccination schedules.

This study proposes targeted modernization of the Department of Defense (DoD's) Joint Forces Ammunition Logistics information system by implementing the optimized innovative information technology open architecture design and integrating Radio Frequency Identification Device data technologies and real-time optimization and control mechanisms as the critical technology components of the solution. The innovative information technology, which pursues the focused logistics, will be deployed in 36 months at the estimated cost of $568 million in constant dollars. We estimate that the Systems, Applications, Products (SAP)-based enterprise integration solution that the Army currently pursues will cost another $1.5 billion through the year 2014; however, it is unlikely to deliver the intended technical capabilities.

Stakeholders of construction projects exhibit different perceptions regarding the visibility of materials in the supply chain, which affects the timely delivery and installation of materials. This study aims to quantitatively investigate the differences in viewpoints of owners, contractors, designers and suppliers about the visibility of materials at supply chain locations and different material types during the construction of industrial projects.

Survey data about visibility at nine typical supply chain locations and three common material types were collected from owner, contractor, designer and supplier groups and analyzed using frequency statistics, relative importance index and tests for equality of odds.

Offsite Tier-2 supplier, ports and kitting site shows the lowest visibility level for the owner, contractor, supplier and designer groups. Also, the supplier group tends to have adequate to extreme visibility at the Tier-2 supplier, kitting site and during transportation compared to owner, contractor and designer groups. An example finding concerning the visibility of material types is that owners and contractors perceive prefabricated material requires higher visibility than all other material types.

The findings are limited to construction projects in the industrial sector. Further, the survey participants were based in North America at the time of participation.

The study’s findings indicate how visibility is spread across supply chain locations and for material types for the owners, contractors, suppliers and designers of industrial projects. As such, academia and industry’s research and investment efforts can be more focused on locations and material types that need improvement.

Industrial projects play an essential part in improving society’s daily lives, and this study’s findings contribute to improving the efficiency of the supply chain during construction of industrial projects.

Although previous studies mentioned the need and importance of visibility improvement, none have sought to understand the perception of leading supply chain stakeholders about visibility at supply chain locations and of material types. This study’s findings provide specific insights and directions for advancing in these areas with regard to supply chain visibility.

Joint research is pointed out by the literature as a potentially virtuous cooperation scheme to generate learning in the public sphere and beneficial effects in society. The purpose of this study, based on the Argentine experience in the COVID-19 pandemic, is to analyze the network of capacities, relationships and effects generated, over time, by a series of projects financed by the State in 2010, to clarify the link between learning effects and social effects.

A qualitative methodology focused on the multiple case study method was used. Each case covers joint R&D projects financed 10 years ago by the state that subsequently led to different solutions for COVID-19.

The work identifies a public learning process that integrates both industry’s contributions and the intellectual dimension of economic benefits and their translation into specific capabilities; conceptualizes the capacities accumulation process as a multiplier of social effects (direct and indirect) that emerge as knowledge is reused; identifies the articulation between different schemes as a condition for learning effects and social effects to manifest over time.

An aspect not studied in the literature is addressed, the relationship between the learning process induced by joint research, in terms of capabilities, and the social effects specifically generated over time. This is taking place in a context, such as the COVID-19 pandemic, where calls from the scientific and academic community to promote science–industry cooperation are multiplying.

The coronavirus disease 2019 (COVID-19) pandemic has subjected a considerable strain on the healthcare (HC) systems around the world. The most affected countries are developing countries because of their weak HC infrastructure and meagre resources. Hence, building the resilience of the HC system of such countries becomes essential. Therefore, this study aims to build a resilience-based model on the HC sector of Pakistan to combat the COVID-19 and future pandemics in the country.

The study uses a novel hybrid approach to formulate a model based on resilient attributes (RAs) and resilient strategies (RSs). In the first step, the multi-criteria decision-making (MCDM) technique, i.e. full consistency method (FUCOM) is used to prioritize the RAs. Whereas, the fuzzy quality function deployment (QFD) is used to rank the RSs.

The findings suggest “leadership and governance capacity” to be the topmost RA. Whereas “building the operational capacity of the management”, “resilience education” and “Strengthening laboratories and diagnostic systems” are ranked to be the top three RSs, respectively.

The model developed in this study and the prioritization RAs and RSs will help build resilience in the HC sector of Pakistan. The policymakers and the government can take help from the prioritized RAs and RSs developed in this study to help make the current HC system more resilient towards the current COVID-19 and future pandemics in the country.

A new model has been developed to present a sound mathematical model for building resilience in the HC sector consisting of FUCOM and fuzzy QFD methods. The main contribution of the paper is the presentation of a comprehensive and more robust model that will help to make the current HC system of Pakistan more resilient.

The purpose of this paper is to present a case of integration between the processes modeling by using the Value Stream Mapping (VSM) and the Thinking Process of the Theory of Constraints (TP-TOC) through the analysis of productive processes of an organization, indicating the complementary aspects between them and their benefits to the organization.

The paper uses a company of the Brazilian automotive industry as the administering site. The research began by identifying the organization's processes and choice of a family of products to model according to the VSM approach. The integrated view between the losses in the process (VSM) and the unwanted effects of the adding value process were analyzed by using the Current Reality Tree. After the analysis, different improvement procedures are proposed based on the lean principles. Finally, a work plan is presented based on the previous steps aiming to achieve the proposed future state.

The analysis of this case helps to understand and identify the causes of the current problems in the processes studied, providing an integrated view between the losses in the process and the prioritization of steps for the elimination of such losses. The approach in its initial administration was robust and the solution steps were promising. By integrating these approaches, it was possible to verify improvement opportunities by identifying the losses and the basic causes that sustain the unwanted effects in the processes at the same time.

The study proposes an approach that enables a systematic and systemic analysis of the processes at organizations through the combined use of process modeling through the VSM and TP-TOC. Simultaneously, the losses in the processes and the unwanted effects are identified. Thus, through the construction of an effect-cause-effect robust logic, both losses in particular and the unwanted effects in general can be prioritized in order to maximize the improvement efforts in the processes.

Public Works and Government Services Canada (PWGSC) is the federal department responsible for housing over 190,000 Canadian federal public servants. During Y2K preparations, it became apparent that a single source or form of integrated, emergency response information at the infrastructure level did not exist. A process had to be created and developed that would serve as a single vehicle and source for building‐based emergency response. These preparations for Y2K saw the creation of the Infrastructure Continuity Unit (ICU) and a system for the creation, validation, and maintenance of Infrastructure Continuity Plans (ICPs). An ICP is an event‐management document that contains a series of procedures and protocols to be used during a building‐based incident or disruption of services. The ICU is supported nationally by a network of Regional Coordinators who oversee the gathering of information needed to create ICPs for their own parts of the country. This paper demonstrates how this system, along with the ICU’s recent certification by the Canadian General Standards Board (CGSB) to the ISO 9000 standard, have contributed to the ICU’s success. This paper takes the reader through an in‐depth exploration of the ICU’s processes, methodologies and procedures and demonstrates why, in a post‐September 11th world, the ICU has begun to attract international attention.