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Obsolescence is a decline or loss of utility of an object, building or product. Different types of building obsolescence decrease buildings’ utility and shorten their service life. The purpose of this paper is identification of building obsolescence types and the relevant factors that affect buildings to become obsolete. It is also intended to categorise building obsolescence types to provide a contribution towards increasing building service life and delivering sustainability.

A systematic literature review is applied to conduct this research. It follows five steps: (1) formulating the research question; (2) locating studies; (3) selecting and evaluating relevant studies; (4) analysing the findings; (5) reporting and making use of the results.

Via this study, it is revealed that there are 33 types of building obsolescence. They are clustered in 10 categories regarding their conceptual and causing aspects and are presented based on their recurrence in the literature. According to the findings, economic obsolescence (including economic, financial and market obsolescence types) and functional obsolescence (including functional, use and utility obsolescence types) are the most remarkable categories.

Investigating the literature makes it clear that building obsolescence types have been studied intermittently with infrequent profound exploration of the relationship between them. This paper presents a comprehensive identification of building obsolescence types and introduces obsolescence categories that classify connected obsolescence types. It is a new framework for further studies on building obsolescence to find more effective prevention strategies to mitigate social, economic and environmental consequences of building obsolescence.

The purpose of this paper is to present a review of existing models and tools for evaluating the adaptability of buildings. A baseline of the current state of the art in adaptability evaluation and adaptation decision support is established; from this baseline, gaps for future research are recommended.

A literature review was conducted to identify papers describing adaptability models and tools. The identified models were characterized based on their focus (new buildings, existing buildings, building life cycle), considered variables (physical and/or context features) and degree/type of validation.

Models can be grouped as those focusing on: evaluating adaptation decisions for existing buildings; the design of new buildings for future adaptation; and understanding adaptation throughout a building life cycle. Models focusing on existing building evaluation are further in development and validation than the other model types; as such, they are more suitable for use by practitioners. Another finding is that modeling of adaptability in buildings is still in its nascent stage and that data-driven quantitative modeling is a prime area for future research.

This paper is the first comprehensive review of models and tools for evaluating adaptability. Other works have evaluated the topic of adaptability more broadly, but this is the first paper to systematically characterize existing models and tools. Based on the review future, research topics are recommended.

The purpose of this paper is to review what is known about obsolescence and its causes, and provide a critique of how it is reflected in valuations.

The method has been to review the literature on obsolescence to examine the main causes and whether there are approaches that can identify the vulnerability of buildings to the business models they are designed to satisfy becoming outmoded.

Obsolescence is an inherent part of the way in which market economies function as new competitors disrupt established business models. Investors need better methods to evaluate the risk that obsolescence poses to their portfolios.

Obsolescence can result in significant unpredicted losses of value.

Much of the literature on obsolescence treats it in the same way as depreciation without recognising its unpredictable nature. The paper explores alternative approaches to how obsolescence might be measured.

Although studies of “core competence” appear frequently, the concept lacks a clear definition that allows one to operationalize it and use it to develop falsifiable predictions. We propose a definition based on the phenomenon that core competence is typically applied to – adaptations to different external context. Sourcing insight form the paradigm of organizational ecology, we develop arguments rooted in theories of structural inertia and environmental imprinting. Empirical analyses of failure rates of entrants in the Italian automobile industry confirm our propositions that core competence is a source of competitive advantage when industry entry is based on relevant capabilities and a source of inertia and obsolescence when core competences need to be substantially altered. We conclude that whether core competence materializes as a dynamic capability or exposes the firm to liability to selection and obsolescence is a random process. Its outcome hinges on environmental variation and the resulting firm-environment (mis)alignment and is thus largely beyond managerial control.

The manufacturing strategy literature suggests a number of areas in which decisions are of strategic importance. This study uses a survey of manufacturing executives from 213 business units in the United States to explore empirically the concept of strategic decision categories and improvement programmes that are related to each category. The concerns expressed by the 213 manufacturing executives are categorised and are shown to correspond fairly well with the strategic decision categories from the literature. The survey responses to questions about plans for programmes and activities to improve manufacturing over the next 2 years are also categorised. The relationships between planned programme categories and the strategic concerns that underlie them are explored and summarised.

This paper aims to make the case for the development of an adaptive reuse rating tool targeted to new building design that maximises the embedded adaptive reuse potential of these buildings later in their life, thereby adding to built environment sustainability.

This exploratory study retrospectively analyses successful adaptive reuse projects to establish and test a multi-criteria decision-making model for new design projects. This paper contains a report on the final stages of the research methodology (quantitative approach) used in the development of the adaptSTAR model that critically assesses the list of design criteria identified in the first stage of the study. Improvements to the case studies that would have further enhanced their reuse potential later in life are proposed. The results are compared to an established decision tool (adaptive reuse potential [ARP] model) to determine their level of consistency.

The findings of this research show that design criteria can be identified and weighted according to seven categories to calculate a building’s adaptive reuse star rating. Both the adaptSTAR and ARP models exhibit a strong relationship and are positively correlated.

The research demonstrates that by applying adaptSTAR to new designs, it will contribute to greater sustainability for the built environment in the long term via reducing the rate of building obsolescence.

Prioritising items for management attention has been advocated in operations management for a long time, normally using ABC analysis (inventory control). This focuses attention on the “A” category items to maximise managerial effectiveness. Empirical evidence shows that this is a reasonable rule for allocating scarce resource‐management time but presents difficulties when the manager has to take more than one important dimension of a situation into account. A joint criteria matrix is put forward within the ABC framework and an industrial application given. The joint criteria matrix has practical utility provided ranking on some scale of measurement is realistic. The appropriate number of categories must be defined by the user. Combining criteria will probably require different analytical approaches, e.g. goal programming or heuristic approaches. Utilisation of the matrix by managers can provide an explicit method for taking a range of criteria into account in the development of inventory policies.

Due to the importance of efficiency and responsiveness measures rather than just efficiency measures, this research recognizes both measures when considering overall performance of warehouse operations. Thus, the purpose of this paper is to prioritize overall performance measures associated with warehouse operations in manufacturing, third-party logistics service provider and retail industry supply chains.

The study uses an integrated approach that involves the Q-sort method to group measures into four categories. Fuzzy analytical hierarchy process was then used to prioritize individual performance measures within each category and integer liner programming model was used to validate prioritized categories, using the judgment of multiple decision makers across three industries.

The result shows that the financial category is a dominating performance category in managing warehouse operations across all three industries selected. Within the financial category, cost of insurance accounted for 25 percent of total weight of the category, and is considered to be a powerful measure. The financial category is verified by multiple decision makers across three industries, as the most important performance category.

As part of adopting the proposed methodology in practice, it needs to be guided by overall methodology appropriate for industry-specific contexts.

Key novel aspects of this study are to categorize warehouse operations measures and analyze their perspectives in different industries, understand dominant categories of warehouse operations measures in the contemporary supply chain and finally to explore to what extent current practices lead to achieving efficiency and responsiveness in the selected industries.

Many heritage-listed gaols in Australia have become obsolete in terms of their original function and were decommissioned decades ago. As a default management practice, decommissioned gaols are usually transformed into museums which are mostly empty and underused without considering other viable alternatives. This research challenges this mainstream thinking and demonstrates that among the entire stock of heritage-listed gaols in Australia, even the least ranked gaol in terms of its potential for reuse can be turned into a thriving and vibrant new function.

Hypothetically, if the least ranked Australian heritage-listed gaol in terms of its potential for reuse is in fact “reusable”, then the remaining heritage gaols have more chance of being successfully reused to accommodate a vibrant new function. To be able to test this hypothesis, first, the Adaptive Reuse Potential (ARP) model is applied to rank Australia's decommissioned heritage gaols which are spatially and structurally sound to accommodate new uses. Second, an architectural design concept was designed to adaptively reuse the lowest scored gaol (Richmond Gaol) to a boutique hotel. The conceptual design proposal was then assessed by three local heritage architecture firms to validate its applicability and viability.

The research showed that Richmond Gaol can be reused successfully to at least one function, and accordingly, the whole stock of heritage gaols can be expected to also be reused to more sustainable purposes. The research identifies several considerations for the reuse of heritage gaols in Australia: the careful intervention to their significant fabric; maintaining sufficient evidence of the gaol's original components, the importance of the new use being compatible to the gaol's morphology to ensure minimum alterations or demolitions in the significant fabric of the site; and evaluating the new use and its components to achieve financial viability.

Due to the continuing closure of Tasmania's state borders amid the spread of the COVID-19 virus, the researchers were not able to travel to Tasmania to conduct a site visit and to run the in-depth interviews with the architects in person. Most of the data of the current status of the site, its current layout, museum elements, historical data and photos were provided by Heritage Authorities in Tasmania and the Tasmanian State Library and Archive Service. Supplementary information and photos were acquired in March 2020 from visitors of the gaol who uploaded their trip images to Google maps or to their travel blogs. Topographical data of the site was gathered from Topographic Base-map of Land Information System Richmond Tasmania (2020). Due to travel restrictions, in-depth interviews with the local architects were done virtually, or over the phone in one case.

Challenges discussed in this research encourage creating nationally designed support programs to better vitalise and help preserve Australia's carceral heritage.

This research utilises architectural design in an empirical research paradigm.