<p><span style="font-family: Arial;">Este trabajo presenta la solución mono-objetivo y multi-objetivo del problema de la distribución de planta en celdas de manufactura a través de dos nuevos algoritmos híbridos discretos basados en quimiotaxis de bacterias y en algoritmos genéticos. Los modelos propuestos resuelven simultáneamente los dos inconvenientes que constituyen el problema de la distribución de planta en celdas de manufactura: la formación de las celdas y la distribución de planta intra e inter celdas, considerando el agrupamiento de las celdas y el costo de transporte y manipulación de materiales. El desempeño de las propuestas se evaluó con problemas de prueba de distribución de planta de celdas de manufactura, agente viajero (TSP) y el caso multi-objetivo del problema de las mochilas. Los resultados mono-objetivo se compararon con AG, BFOA y <em>Bacterial</em>-GA, mientras que los resultados multi-objetivo se compararon con los reconocidos algoritmos NSGA2 y SPEA2 en los que se obtuvo un mejor desempeño en los dos casos.</span></p>

El presente artículo de revisión aborda el planteamiento del problema del layout de las celdas de manufactura (LCM) de una forma descriptiva, considerando primero el problema y sus variaciones, luego los elementos de los modelos matemáticos, y posteriormente los métodos de solución empleados; y por último se concluye con algunas perspectivas futuras alrededor de este tema. Palabras clave: Celdas de manufactura, Formación de celdas, Layout, Métodos de solución. AbstractThis review article discusses the approach to the layout problem of cell manufacturing (LCM) in a descriptive form; considering at first the problem and its variations, then the elements of the mathematical models, subsequently presenting solution methods used; and finally some future perspectives about this topic are considered.

This document describes a graphic group technology-based methodology for defining a new layout for an industrial production plant. This methodology (technological kinship circles) sought to optimise an industrial plants physical resources and minimise its production lead time through a new layout (i.e. an improvement and standardisation system) (Lara, 2007). The technological kinship circles methodology arose from the need for integrating manufacturing cells with defining their layout; this was achieved by implementing the rank order clustering (ROC) method (Singh,1996) for forming such cells and the single-linkage cluster analysis (SLCA) method (Singh,1996) using the reciprocal of the coefficient of similarity for constructing the kinship circles defining the relative position of machines within the cells. Implementing this methodology and using group technology led to obtaining a new layout representing a 51% reduction in the average distances travelled by pieces during their processing and a 67% reduction in average lead times for the production plants processes.

This article makes a general analysis of the supply chain of photovoltaic systems in Colombia, taking as a starting point a conceptual base and the current situation of the country in this sector. This article especially will contemplate the non-interconnected areas (ZNI) to the electricity grid in the national, due to its complexity in the logistics issues. Likewise, the work performs a graphical representation of the stages and processes of the supply chain using a powerful-modeled tool such as the Petri Nets (PNs). Finally, it identifies some of the flaws in the operation and the joint of all the links of the logistic part and from there it is based the importance of the strategy of orientation to the supply chain (SCO) as a possible alternative to improve and to enhance the logistic processes of this type of systems.

This paper examines the process of implementing a Blockchain on a supply chain study case using Hyperledger. The objective of this research is to understand how to implement Blockchain technology into a business process like the supply chain. This document explains from the study case of Colombian organic coffee to develop a proof-of-concept of the technology and how establish its feasibility, isolate technical issues, and provide feedback. With the recent interest of adopting Blockchain to leverage business process capabilities, the results of this implementation show it is possible to trace product origin using Blockchain, as well they also reveal challenges that need to be addressed. This paper analyses the process used in the coffee production supply chain, the technological architecture proposed to support this scope, and a proposal to store the data into the Blockchain.