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International audienceGlobally, grassland soils, if managed properly, are important for the sake of carbon sequestration. The quality and quantity of soil organic carbon is probably influenced by vegetation traits such as composition and plant species. We determined the influence of vegetation composition and co-dominant species on soil organic carbon in two Prangus uloptera stands. The stands situated at close proximity were identified in a Prangos uloptera community in north-western Iran. Both stands shared similar dominant plant species with the same physiographical and climatological characteristics, but differed in their co-dominant plant species. To compare soil organic matter (SOM) parameters, soil samples from each stand were collected from depths of 0-15 cm and 15-30 cm. The results showed that SOM had spatial variation which was probably affected by the plant species. The highest values of total C, Total N, POM-C, POM-N, microaggregates, C in macroaggregates and C in microaggregates in the upper soil layer occurred in the stand with the highest cover of Astragalus microcephalus and Acanthophyllum microcephalum. It is suggested that, in conservation projects based on higher carbon sequestration, the plant species with more incorporation of carbon content into soil should be identified and used more widely

Storage, per se, is not only an important process in a warehouse, also it has the greatest influence on the most expensive one, i.e., order picking. This study aims to give a literature overview on class-based storage location assignment (CBSLAP). In this paper, we discuss storage policies and present a classification of storage location assignment problem. Next, different configuration of classes are presented. We identify the research gaps in the literature and conclude with promising future research directions.

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Abstract. This paper presents a simulation study of an End-of-Aisle automated storage and retrieval system. Various elements of AS/RS control policies are combined to compare and analyze the performance of an End-of-Aisle automated storage and retrieval system. The extensive simulation study shows the isolated effects of various policies by comparing several combinations of policies and rules. This comparison provides a base for selecting the most suitable policy in the evaluated system.