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The article explores to what extent party politics has influenced the different trajectories in Spain and Italy in terms of gendered active social policies (ASPs) (i.e. ALMPs and WLBPs). Second, it investigates how social and political modernization in the two countries has facilitated or hindered party competition on gendered ASPs.

To investigate to what extent parties support gendered ASPs, the article relies on an original content analysis of party manifestos issued during the 2010s national elections. A total of 1387 quasi-sentences have been coded. The results were then quantified to graphically show how positions differentiate across parties and countries.

The content analysis of party manifestos displays that party politics matters: gendered ASPs are backed in a very different way by the Spanish and Italian parties. While in Spain all political parties have strongly championed ALMPs and WLBPs, this is not the case for the Italian parties. The research has also stressed that the specific path of social and political modernization is an important intervening variable that alters positively or negatively parties' support for gendered ASPs.

The article contributes to widen theoretically and empirically the literature on ASPs in the Southern European countries. Theoretically, it questions the supposed homogeneity of the Southern social model and investigated the alleged bifurcation between Italy and Spain, focusing on those policies – ASPs – that constitute the foundations of the Southern model: familialism and dualization. Furthermore, this bifurcation was analyzed adopting a gender perspective, and exploring adherence to or departure from the Southern model. Third, the article focuses on the politics of ASPs demonstrating that inspecting the political arena can contribute to explain policy change.

This paper aims to raise awareness of a potential planning pitfall and provide recommendations on how to assess and improve upon current practices. In potential conflict areas, such as the Korean Theater of Operations (KTO), military forces are required to store a portion of their ammunition combat load within depots and ammunition supply points under the control of a servicing ammunition company. This necessitates a lengthy retrieval process, as the ammunition company does not have enough resources to serve all customers simultaneously.

The stored combat load (SCL) retrieval process is modeled as a parallel machine scheduling problem and simulated using synthetic requirements. The current system of retrieval is contrasted against a proposed alternate system through a series of simulations scaled across three factors: number of ammunition company Soldiers, number of customer units and number of magazines.

The proposed alternate system demonstrates a significant potential for reducing the makespan of the SCL retrieval process when more than half of the magazines store SCL for multiple customers and there are more than five customers per Soldier.

Transitioning military units from a peacetime standing to full combat readiness as quickly as possible is of immense value within the KTO and other hostile areas with established troops not actively engaged in combat.

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.