A new optimization model is presented for the short-term management of the energy supply and demand in smart grids. The detailed model includes a flexible demand profile in order to manage the energy requirements by incorporating penalizations in the economic objective function for delays in satisfying energy demand. The MILP model for the optimization of deterministic scenarios is reformulated in order to incorporate discrete and hybrid time representations. This approach allows considering a different granularity of the problem. Finally, the improved performance of the hybrid approach introduced is shown by comparing the performance of these two time representations.
The scope of any Supply Chain management strategy usually takes into account the few single echelons directly linked to the process of interest (raw materials acquisition, market distribution,...) which are assumed to present a previously known behaviour (even this behaviour may include some uncertainty). Decisions based on this limited picture disregard the important information associated to the interaction among different cooperative SCs. This work aims to optimize the overall performance of several SC's in a cooperative scenario acting as an “entire SC”. Accordingly, the main features of this entire SC (raw materials SC, production-distribution SC, products and wastes) have been considered. The approach is demonstrated using a case study which integrates an energy poligeneration SC model (RM acquisition, and different production systems in a competitive situation) and the traditional production-distribution SC model (RM acquisition, distribution to production plants, production, and distribution to markets) in a mixed integer non-linear programming model.
A narrative history of the unlikely Maoist rebellion that terrorized Peru even after the fall of global Communism. On May 17, 1980, on the eve of Peru’s presidential election, five masked men stormed a small town in the Andean heartland. They set election ballots ablaze and vanished into the night, but not before planting a red hammer-and-sickle banner in the town square. The lone man arrested the next morning later swore allegiance to a group called Shining Path. The tale of how this ferocious group of guerrilla insurgents launched a decade-long reign of terror, and how brave police investigators and journalists brought it to justice, may be the most compelling chapter in modern Latin American history, but the full story has never been told. Described by a U.S. State Department cable as “cold-blooded and bestial,” Shining Path orchestrated bombings, assassinations, and massacres across the cities, countryside, and jungles of Peru in a murderous campaign to seize power and impose a Communist government. At its helm was the professor-turned-revolutionary Abimael Guzmán, who launched his single-minded insurrection alongside two women: his charismatic young wife, Augusta La Torre, and the formidable Elena Iparraguirre, who married Guzmán soon after Augusta’s mysterious death. Their fanatical devotion to an outmoded and dogmatic ideology, and the military’s bloody response, led to the death of nearly 70,000 Peruvians. Orin Starn and Miguel La Serna’s narrative history of Shining Path is both panoramic and intimate, set against the socioeconomic upheavals of Peru’s rocky transition from military dictatorship to elected democracy. They take readers deep into the heart of the rebellion, and the lives and country it nearly destroyed. We hear the voices of the mountain villagers who organized a fierce rural resistance, and meet the irrepressible black activist María Elena Moyano and the Nobel Prize–winning novelist Mario Vargas Llosa, who each fought to end the bloodshed. Deftly written, The Shining Path is an exquisitely detailed account of a little-remembered war that must never be forgotten.
The scope of any Supply Chain management strategy usually takes into account the few single echelons directly linked to the process of interest (raw materials acquisition, market distribution,...) which are assumed to present a previously known behaviour (even this behaviour may include some uncertainty). Decisions based on this limited picture disregard the important information associated to the interaction among different cooperative SCs. This work aims to optimize the overall performance of several SC's in a cooperative scenario acting as an “entire SC”. Accordingly, the main features of this entire SC (raw materials SC, production-distribution SC, products and wastes) have been considered. The approach is demonstrated using a case study which integrates an energy poligeneration SC model (RM acquisition, and different production systems in a competitive situation) and the traditional production-distribution SC model (RM acquisition, distribution to production plants, production, and distribution to markets) in a mixed integer non-linear programming model.
A new optimization model is presented for the short-term management of the energy supply and demand in smart grids. The detailed model includes a flexible demand profile in order to manage the energy requirements by incorporating penalizations in the economic objective function for delays in satisfying energy demand. The MILP model for the optimization of deterministic scenarios is reformulated in order to incorporate discrete and hybrid time representations. This approach allows considering a different granularity of the problem. Finally, the improved performance of the hybrid approach introduced is shown by comparing the performance of these two time representations.
Strikes, boycotts, rallies, negotiations, and litigation marked the efforts of Mexican-origin community members to achieve educational opportunity and oppose discrimination in Houston schools in the early 1970s. These responses were sparked by the effort of the Houston Independent School District to circumvent a court order for desegregation by classifying Mexican American children as "white" and integrating them with African American children—leaving Anglos in segregated schools. Gaining legal recognition for Mexican Americans as a minority group became the only means for fighting this kind of discrimination. The struggle for legal recognition not only reflected an upsurge in organizing within the community but also generated a shift in consciousness and identity. In Brown, Not White Guadalupe San Miguel, Jr., astutely traces the evolution of the community's political activism in education during the Chicano Movement era of the early 1970s. San Miguel also identifies the important implications of this struggle for Mexican Americans and for public education. First, he demonstrates, the political mobilization in Houston underscored the emergence of a new type of grassroots ethnic leadership committed to community empowerment and to inclusiveness of diverse ideological interests within the minority community. Second, it signaled a shift in the activist community's identity from the assimilationist "Mexican American Generation" to the rising Chicano Movement with its "nationalist" ideology. Finally, it introduced Mexican American interests into educational policy making in general and into the national desegregation struggles in particular. This important study will engage those interested in public school policy, as well as scholars of Mexican American history and the history of desegregation in America.
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