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PurposeThis article summarizes practitioner observations on three research questions. First, the factors that lead to the emergence and persistence of such teams. Second, the repercussions of siloed teams. And third, practical suggestions and recommendations that practitioners can employ to prevent silo formation or address existing silos. This article thus complements recent academic work that has previously explored the formation of silos.Design/methodology/approachThe authors used the input of current team leads from a focus group along with their consulting experience to explore these three research questions. The team lead input and consulting expertise are integrated with academic research on silos.FindingsThe emergence and persistence of silos was mostly attributed to company characteristics (size, growth and stakeholder management) as well as communication inefficiencies (lack of role clarity and ownership within teams), which in turn were impacted by situational variables (pandemic and turnover). The authors noted the effect of team composition effects, team competition and organizational changes (rapid growth and restructuring) as potential contributors to the formation and persistence of silos. The team lead experts and our consulting experiences were congruent with the literature focused on repercussions of silos, from poor information exchanges to inefficiencies, divisions and perceived isolation of teams from the organization. Solutions focused on project organization and documentation as well as the adoption of new decision-making tools and practices, and the creation of more exchange and learning opportunities. The authors added additional options to promote more visibility, appreciation, proactive monitoring within teams and organizational identification initiatives.Originality/valueThe current article adds a pragmatic perspective to silos and how organizations can address these when they become problematic and hinder performance and collaboration.

Microbial population dynamics associated with corn silage, with and without Lactobacillus plantarum treatment, was studied. Whole crop corn was ensiled using laboratory silos and sampled at different times, up to 3 months. The dominant bacteria, before ensiling, were Acinetobacter (38.5%) and Klebsiella (16.3%), while the dominant fungi were Meyerozyma (53.5%) and Candida (27.7%). During ensiling, the microbial population shifted considerably, and Lactobacillus (> 94%) and Candida (> 74%) became the most dominant microbial genera in both treated and untreated silages. Yet, lactic acid content was higher in the treated silage, while the microbial diversity was lower than in the untreated silage. Upon aerobic exposure, spoilage occurred more rapidly in the treated silage, possibly due to the higher abundance of lactic acid-assimilating fungi, such as Candida. Our study is the first to describe microbial population dynamics during whole-crop corn ensiling and the results indicate that microbial diversity may be an indicator of aerobic stability.

Current silo analysis and design methods developed from Janssen’s theory focus mainly on the flow of the granules inside the silo by assuming that the overall silo structure is infinitely rigid. A silo structure during discharge is technically a time varying mass dynamic problem, where the properties of the overall silo structure and the discharge rate and material properties also contribute to the development of the load. The physics of a silo system requires equilibrium between the granules inside the silo, the silo structure as a whole and the surrounding air. The established scientific principles and experimental data require fulfilling such equilibrium to accurately predict the dynamic loads during discharge. This correspondence explains how the equilibrium between the granules inside the silo, the silo structure as a whole and the surrounding air can be achieved to better predict and control the dynamic loads generated by the silo discharge process.

Silos are used worldwide to store granular and powdered materials. Agricultural, food and feed products are commonly stored in silos. However, many questions remain unanswered about how to estimate the pressures applied by the bulk material, which are needed to design and calculate the structure of the silo. The complexity of the laws that govern the mechanical behavior of the stored material along with the low number of experimental stations in the world hinder progress in this field. The aim of this study was to elucidate the relationship of the hopper angle, flow pattern and vertical stress at the cylinder-to-hopper transition in slender silos. Therefore, a set of experiments was conducted on a test station to measure the vertical stress produced by maize at the cylinder-to-hopper transition. Five different hopper angles were used. The experiments comprised the filling, the static phase and the discharge. The results obtained show that the hopper angle influences the vertical stress at the cylinder-to-hopper transition. Some bottom configurations (flat bottom and bottom with an angle of 30°) led to vertical stresses that exceeded the value calculated according to Eurocode 1. It is clear that further experimental studies are still necessary to understand the underlying physical phenomena and the relations between pressures, silo geometry and flow pattern of the stored material.

Focusing on identifying the impact of silos, this article addresses a gap in the literature in terms of the mediating role of collaboration between silo-busting techniques and the productivity and financial performance of Saudi firms. Through an investigation of multiple hypotheses tested via partial least-squares structural equation modelling, the relationship between silo-busting techniques and productivity and financial performance is tested in quantitative terms, thereby providing the first evidence for this relationship in the focal context. On the basis of this modelling approach, silo-busting techniques are shown to be a significant predictor of productivity and financial performance. Further, the results show that silo-busting techniques play an additional related role in shaping productivity and financial performance—that is, these techniques foster collaboration within a given firm. In fact, practicing silo-busting techniques can help improve firm performance. In relation to the present business environment, the results indicate that firms should make significant investments in all five silo-busting factors—values, leadership, collaborative environment, collaborative operating model and people reward and development—in order to improve collaboration results and, therefore, productivity and financial performance. However, particular emphasis should be placed on collaborative operating model and people reward and development as the only two factors shown to strongly support firm performance.

Most organizations are set up to operate in some form of silos, such as vertical divisions or horizontal functions. At best, silos offer a practical way for organizations to operate efficiently. At worst, they create a silo mentality where departments do not want to exchange knowledge or information, hindering internal collaboration and organizational learning, thus preventing achievement of high performance and organizational sustainability. The silo mentality issue has been recognized for a long time as a real tangible problem that has to be dealt with. On the basis of a questionnaire containing statements on organizational strength, collaboration, and silo-busting techniques applied, which was distributed to a sample of mainly large companies, we found that there are five factors that are important for breaking down silos and increasing the quality of cooperation.

This study proposes a modification for the current design approach for square and rectangular silos that accounts for silos’ wall flexibility. First, the authors investigated the effect of wall stiffness symbolized by the wall width-to-thickness ratio (a/t) and silo’s dimensions, on the wall-filling pressure using a recently validated 3D finite element model (FEM). The model was then employed to predict the pressures acting on silos’ walls accounting for the stress state in stored granular materials. Most design formulas and guidelines assume silos’ walls to be rigid. This assumption is acceptable for the case of rigid wall concrete silos; however, it is questionable for semi-rigid, flexible wall metal silos. Consequentially, it is crucial to determine the minimum wall stiffness necessary to secure the applicability of the current design rigid wall assumptions and to propose a way to deal with semi-rigid and flexible walls. To this end, several wall pressure distributions that correspond to filling steel silos with varied wall thicknesses were studied. A new adjustment to the Janssen technique was proposed for a better estimate of the wall-filling pressures for square and rectangular silos. In the case of prismatic silos, the Eurocode uses the Janssen equation together with an equivalent radius of a corresponding circular silo (with the same hydraulic radius) to determine the wall pressure. This method predicts pressure values that are practically accurate for rigid-wall silos, but its accuracy decreases for semi-rigid and flexible-wall silos. As an enhancement, the Janssen equation was modified in this research to generate more accurate pressure estimates based on the equivalent volume concept. The finite element results of several developed models with the same granular material were compared to the estimations of the newly established approach to verify the broad range of its applicability.

This study develops and validates a 3-D finite-element model for lateral pressures in square, flat-bottomed steel silos, challenging the applicability of conventional design methods. The model, using Mohr–Coulomb for wheat and surface-to-surface contact, closely matches observed pressures and demonstrates that slenderness h/a determines the pressure regime: Janssen-type asymptotic profiles in slender silos (h/a ≥ 7.5) change to Rankine-type linear profiles in squat silos (h/a ≤ 1.5). Therefore, using slender-silo formulae for squat designs may lead to inaccurate estimations of base pressures. A parametric study evaluates material influences: lateral pressure is significantly affected by Poisson’s ratio (raising from 0.28 to 0.45 more than doubles base pressure, + 110%) and wall friction µ, while it shows little sensitivity to Young’s modulus and cohesion. These results provide design-oriented recommendations for the safe and cost-effective sizing of silos across various geometries and granular materials.

Microorganisms can enter and persist in dairy at several stages of the processing chain. Detection of microorganisms within dairy food processing is currently a time-consuming and often inaccurate process. This study provides evidence that high-throughput sequencing can be used as an effective tool to accurately identify microorganisms along the processing chain. In addition, it demonstrates that the populations of microbes change from raw milk to the end product. Routine implementation of high-throughput sequencing would elucidate the factors that influence population dynamics. This will enable a manufacturer to adopt control measures specific to each stage of processing and respond in an effective manner, which would ultimately lead to increased food safety and quality. Microorganisms from the environment can enter the dairy supply chain at multiple stages, including production, milk collection, and processing, with potential implications for quality and safety. The ability to track these microorganisms can be greatly enhanced by the use of high-throughput DNA sequencing (HTS). Here HTS, both 16S rRNA gene amplicon and shotgun metagenomic sequencing were applied to investigate the microbiomes of fresh mid- and late-lactation milk collected from farm bulk tanks, collection tankers, milk silos, skimmed milk silos, a cream silo, and powder samples to investigate the microbial changes throughout a skim milk powder manufacturing process. 16S rRNA gene analysis established that the microbiota of raw milks from farm bulk tanks and in collection tankers were very diverse but that psychrotrophic genera associated with spoilage, Pseudomonas and Acinetobacter , were present in all samples. Upon storage within the whole-milk silo at the processing facility, the species Pseudomonas fluorescens and Acinetobacter baumannii became dominant. The skimmed milk powder generated during the mid-lactation period had a microbial composition that was very different from that of raw milk; specifically, two thermophilic genera, Thermus and Geobacillus , were enriched. In contrast, the microbiota of skimmed milk powder generated from late-lactation milk more closely resembled that of the raw milk and was dominated by spoilage-associated psychrotrophic bacteria. This study demonstrates that the dairy microbiota can differ significantly across different sampling days. More specifically, HTS can be used to trace microbial species from raw milks through processing to final powdered products. IMPORTANCE Microorganisms can enter and persist in dairy at several stages of the processing chain. Detection of microorganisms within dairy food processing is currently a time-consuming and often inaccurate process. This study provides evidence that high-throughput sequencing can be used as an effective tool to accurately identify microorganisms along the processing chain. In addition, it demonstrates that the populations of microbes change from raw milk to the end product. Routine implementation of high-throughput sequencing would elucidate the factors that influence population dynamics. This will enable a manufacturer to adopt control measures specific to each stage of processing and respond in an effective manner, which would ultimately lead to increased food safety and quality.

Grain storage loss is a major contributor to post-harvest losses and is one of the main causes of food insecurity for smallholder farmers in developing countries. Thus, the objective of this review is to assess the conventional and emerging grain storage practices for smallholder farmers in developing countries and highlight their most promising features and drawbacks. Smallholder farmers in developing countries use conventional grain storage structures and handling systems such as woven bags or cribs to store grain. However, they are ineffective against mold and insects already present in the grain before storage. Different chemicals are also mixed with grain to improve grain storability. Hermetic storage systems are effective alternatives for grain storage as they have minimal storage losses without using any chemicals. However, hermetic bags are prone to damage and hermetic metal silos are cost-prohibitive to most smallholder farmers in developing countries. Thus, an ideal grain storage system for smallholder farmers should be hermetically sealable, mechanically durable, and cost-effective compared to the conventional storage options. Such a storage system will help reduce grain storage losses, maintain grain quality and contribute to reducing food insecurity for smallholder farmers in developing countries.