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The purpose of this paper is to present a new hybrid approach based on criticality analysis and optimisation to deal with spare parts inventory management in the initial provisioning phase in the mining industry. Spare parts represent a significant part of mining companies' expenditures, so it is important to develop new approaches to reduce the total inventory value of these items.

This hybrid approach combines qualitative and quantitative methods based on VED (vital, essential and desirable) analysis, analytical hierarchical process (AHP), and e-constraint optimisation method to obtain the spare parts to be stocked. The study was applied to a large mining company. The mineral sector was chosen due to the great importance to the emerging Brazilian economy and the lack of researches in this sector. In addition, the spare parts have a relevant weight on the total inventory cost.

Present a novel approach combining multi-objective optimisation and multi-criteria evaluation approaches to tackle the inventory decision in spare parts management. This work also defines and classifies relevant criteria for spare parts management in the mineral sector validated by specialists. The proposed approach achieves an average increase of 20.2% in the criticality and 16.6% in the number of items to be stocked compared to the historical data of the surveyed company.

This paper applies the proposed approach to a mining company in Brazil. Future research in other companies or regions should analyse the adequacy of the criticality criteria, hierarchy and weights adopted in this paper.

The proposed approach is useful for mining industries that deal with a large variety of resource constraints as it helps in formulating appropriate spare part strategies to rationalise financial resources at both tactical and strategic levels.

The paper presents a new hybrid method combining the AHP a multi-criteria decision making (MCDM) approach coupled with e-constraint optimisation to deal with spare parts inventory management allowing for a better spare parts inventory analysis in the initial provisioning phase and providing managers with a systematic tool to analyse the trade-off between spare parts criticality and total inventory value.

The purpose of this paper is to increase productivity through smart maintenance planning by including productivity as one of the objectives of the maintenance organization. Therefore, the goals of the paper are to investigate existing machine criticality assessment and identify components of the criticality assessment tool to increase productivity.

An embedded multiple case study research design was adopted in this paper. Six different cases were chosen from six different production sites operated by three multi-national manufacturing companies. Data collection was carried out in the form of interviews, focus groups and archival records. More than one source of data was collected in each of the cases. The cases included different production layouts such as machining, assembly and foundry, which ensured data variety.

The main finding of the paper is a deeper understanding of how manufacturing companies assess machine criticality and plan maintenance activities. The empirical findings showed that there is a lack of trust regarding existing criticality assessment tools. As a result, necessary changes within the maintenance organizations in order to increase productivity were identified. These are technological advancements, i.e. a dynamic and data-driven approach and organizational changes, i.e. approaching with a systems perspective when performing maintenance prioritization.

Machine criticality assessment studies are rare, especially empirical research. The originality of this paper lies in the empirical research conducted on smart maintenance planning for productivity improvement. In addition, identifying the components for machine criticality assessment is equally important for research and industries to efficient planning of maintenance activities.

Organizational insiders play a critical role in protecting sensitive information. Prior research finds that moral beliefs influence compliance decisions. Yet, it is less clear what factors influence moral beliefs and the conditions under which those factors have stronger/weaker effects. Using an ethical decision-making model and value congruence theory, this study aims to investigate how moral intensity and organizational criticality influence moral beliefs and intentions to perform information protection behaviors.

The hypotheses were tested using a scenario-based survey of 216 organizational insiders. Two of the scenarios depict low criticality information security protection behaviors and two depict high criticality behaviors.

A major finding is that users rely more on perceived social consensus and magnitude of consequences when organizational criticality is low and on temporal immediacy and proximity when criticality is high. In addition, the moral intensity dimensions explain more variance in moral beliefs when organizational criticality is low.

The study is limited by its sample, which is organizational insiders at a mid-size university. It is also limited in that it only examined four of the six moral intensity dimensions.

The findings can guide management about which moral intensity dimensions are more important to focus on when remediating tone at the top and other leadership weaknesses relating to information security.

This study adds value by investigating the separate dimensions of moral intensity on information protection behaviors. It also is the first to examine moral intensity under conditions of low and high organizational criticality.

The purpose of this paper is to trial the application of a criticality framework for roads in an urban environment. The failure or disruption of critical transport routes can have substantial impacts on the economy and societal well-being. Determining the criticality of transport routes is thus of crucial importance for infrastructure providers, city planners and emergency management officials, as it enables appropriate resilience assessments and targeted improvement/intervention and investment strategies to be conducted.

The authors summarise the proposed criticality framework developed by Hughes (2016) for road networks and apply and validate the framework to an area containing 907 km of roads in the central Auckland area of New Zealand. Following an initial trial of the framework, alterations were made to the framework logic, which included the introduction of a new criticality level to account for some roads providing minimal direct societal and economic benefit and a rationalisation step to ensure that road sections always link to others with either an equal or higher criticality.

The modified framework and five-level criticality scale, when applied to the study area in central Auckland, is suitable for determining critical roads and can therefore assist with future assessments of road infrastructure resilience.

The framework also has the potential to be applied more widely and adapted so that it is applicable for determining the criticality of other infrastructure types and in other settings, which would allow improved assessments within and across sectors.

The purpose of this paper is to identify the productivity improvement potentials from maintenance planning practices in manufacturing companies. In particular, the paper aims at understanding the connection between machine criticality assessment and maintenance prioritization in industrial practice, as well as providing the improvement potentials.

An explanatory mixed method research design was used in this study. Data from literature analysis, a web-based questionnaire survey, and semi-structured interviews were gathered and triangulated. Additionally, simulation experimentation was used to evaluate the productivity potential.

The connection between machine criticality and maintenance prioritization is assessed in an industrial set-up. The empirical findings show that maintenance prioritization is not based on machine criticality, as criticality assessment is non-factual, static, and lacks system view. It is with respect to these finding that the ways to increase system productivity and future directions are charted.

In addition to the empirical results showing productivity improvement potentials, the paper emphasizes on the need for a systems view for solving maintenance problems, i.e. solving maintenance problems for the whole factory. This contribution is equally important for both industry and academics, as the maintenance organization needs to solve this problem with the help of the right decision support.

The main purpose is to provide a demonstration of the utility of the DMG as a streamlined approach of a prescriptive-type model that can facilitate strategic and dynamic methodology to the decision-maker with respect to what policies, strategies or actions should be carried out.

This paper proposes a framework for an agile criticality assessment process using decision-making grid (DMG) to accommodate the needs of this dynamic environment.

The proposed new approach has delivered better results with more consistency when applied by different teams and achieved better distribution of assets over the criticality scale.

The proposed approach has been validated through an industrial case study related to a steam generation system (SGS).

The implementation of the proposed approach in a petroleum refinery to assess the criticality of steam generation system (SGS) has shown positive results in terms of time and effort optimization. This research contributes to production planning and control literature with respect to one of its core activities of maintenance, through an innovative, systematic and practical approach.

Engineering service (ES) development, particularly with supplier co-creation, is nontrivial, and the literature has acknowledged the high relevance of uncertainty in this context. This study aims to investigate the relationship between different supplier co-creation modes (operationally independent [OI] and operationally dependent [OD]) and uncertainty criticality arising during ES development.

This study develops a conceptual framework of five uncertainty types by synthesizing the relevant literature from service management and new product development. This framework guided the empirical work of two in-depth case studies, describing uncertainty criticality in OI and OD supplier co-creation.

The findings show that environmental and organizational uncertainty were generally of high criticality for ES development independently of the supplier co-creation mode. Moreover, uncertainty criticality varied between the two cases, with higher criticality of technical and relational uncertainty as well as less resource uncertainty experienced by the focal organization in the OD case. This suggests that supplier co-creation constitutes an uncertainty reallocation.

Further research is needed to test the generalizability of the qualitative results through quantitative studies.

This research contributes to the service management literature by showing the varying uncertainty profiles manufacturing organizations face when engaging in different supplier co-creation modes. Furthermore, this research provides novel insights on ES development to the broader discussion on ES management.

The purpose of this paper is to present a new index of social vulnerability (SV), based on local level data [statistical blocks (SBs)]. This same methodology was applied before at the municipal level, which is a level of analysis that under-evaluates local spots of high SV, by one side, and generalizes the coverage of support capacity equipment and infrastructure. The geographical level of detail of the input data allows to overcome those limitations and better inform infra-municipal risk practitioners and planners.

The assessment of SV in this paper adopts an inductive approach. The research context of this conceptual and methodological proposal derived from the need to operationalize the concept of SV as a planning tool. This approach required to distinguish between the components of criticality and support capability, as their assessment provides knowledge with distinct applications in risk management. The statistical procedure is based on principal components analysis, using the SB as the unit of analysis.

Support capability acts as a counter-weight of criticality. This understanding is well illustrated in the mapping of each component and the final score of SV. The methodological approach allowed to identify the drivers of criticality and support capability in each SB, aiding decision-makers and risk practitioners in finding the vulnerability forcers that require more attention (public or private social equipment, housing policies, emergency anticipatory measures, etc.).

An original approach to SV assessments is the consideration of the components of criticality and support capability. The results allow for the definition of adapted and specific strategies of risk mitigation and civil protection measures to distinct types of risk groups and by different stakeholders and risk practitioners. By predicting the impact and the recovery capacity of communities, the results have applicability in several fields of risk governance as, for example, risk communication and involvement, social intervention (health, education and housing), emergency response, contingency planning, early warning and spatial planning.

This work aims at integrating materials management with project management in the context of manufacturing of complex products which require a variety of items. To achieve this, we propose two prioritization measures of items: material criticality (MC) at activity level and overall criticality (OC) at project level by incorporating project network characteristic through activity criticality (AC) values.

The costs or penalties which determine criticality of items are hidden in nature and are difficult to measure and model mathematically. Hence, Fuzzy Inference System (FIS), which captures experts’ tacit knowledge in the form of linguistic If‐Then rules has been used.

OC obtained can be used as a measure to prioritize items for procurement aligned with on‐site build strategy and as a surrogate measure of shortage cost coefficient for inventory models. The analyses of output to observe the effect of AC on OC values of items, clearly demonstrate the novelty and importance of incorporating project network characteristics in materials management decision making.

In this work, we are able to leverage managerial tacit knowledge derived through years of experience and convert it into a readily usable quantitative parameter OC for prioritization of items to be procured. For identifying the input parameters for OC, we brought in the new perspective of including project network characteristics to align materials and project management.

The purpose of this research is to investigate differences in customer perceptions of quality between credence and experience industries. The paper expands on the implications of national versus local firms and does so within a franchise context.

Based on a sample of 349 consumers, three core SERVQUAL dimensions (reliability, security and tangibility) were analyzed to determine customer perceptions of quality. A mixed-factorial designed was used to evaluate different scenarios of purchasing intentions, measuring the main and interactive effects of service type and criticality among franchised and local brands.

Significant differences were found in customer perceptions of quality between experience- and credence-based services. A significant moderating effect of the level of criticality was shown to play an important role in customers’ perceptions.

This experimental laboratory study highlights the importance for managers to understand the differences in perceptions of customers when dealing between service types and acting under conditions of varying criticality. This holds true for both franchised and non-franchised businesses.

This study offers one of the first investigations of customer perceptions of quality in specific industry types (i.e. credence and experience) within a franchise system. Depending on the industry type, customers have different expectations of quality. The authors offer several specific ways in which managers can use this knowledge to their advantage.