Reconceptualising and contextualising sexual rights in the MENA region: beyond LGBTQI categories

In recent years, LGBTQI rights have become central to debates around international development, human rights, refugee protection, and diversity. Yet research and experience in the Middle East and North Africa (MENA) reveals significant problems with LGBTQI as a way of identifying individuals who do not conform to heterosexual and binary gender norms, in order to support their rights. In this article, we draw on experience of working to advance gender and sexual rights to illustrate the shortcomings of LGBTQI identity categories, and use findings from the Centre for Transnational Development and Collaboration’s (CTDC) four-year programme of research into LGBTQI rights in the MENA region to support our argument further. This research identified major problems in policies and debates on the rights of individuals whose sexual orientation and/or gender identity differs from the norm. In response to this, CTDC has developed a tool to address rights in programme development and advocacy, using a new approach, Sexual Practice and Gender Performance (SPGP), for work in the MENA region.     

Task parallelism in distributed supply organizations: a case study in the shoe industry

This paper describes the application of the parallel integration evaluation model (PIEM) in an industrial case study. The PIEM model is based on modelling the interactions among supply network parties. It generates the parallel configuration of production and supply servers yielding the minimum total production and supply time/cost for the system, Φ. The design solution recommended by the model obeys the tradeoff that parallelism introduces into the networked supply operating system: while direct-production/supply time Π decreases, the overhead of interaction time among the networked parties, T, increases. The interaction time comprises two delay generating factors, limiting the implementation of massively parallel supply networks: the delay due to communication, negotiation, and coordination among the parties, K, and the congestion delay Γ at shared resources in the supply network. These two types of delay factors are positively correlated with the network's degree of parallelism, Ψ, and they affect inversely the total production supply and delivery time of the organization. The PIEM model has been applied to the case of a globally distributed shoe supply network. The resulting recommendations yielded significant savings of about 35% of the annual operating costs. Following the success of this case study, the model has been generalized and implemented as a supply network design optimization tool.