Green supply chain management em uma indústria de bens do consumo do Vale do Paraíba - SP

The Green Supply Chain Management (GSCM) is gaining prominence in the academy and business, as an approach that aims to promote economic and environmental gains. The GSCM is operated through the Environmental Management System Tools and treated as an Environmental Management System (EMS), involving Reverse Logistics, Green Purchasing, Green Sourcing, Green Design, Green Packaging, Green Operation, Green Manufacturing, Green Innovation and Customer Awareness. The objective of this study is to map the GSCM tools and identify their practice in a consumer goods industry in the Vale do Paraiba. The approach and data collection were made in the company's database chosen as the object of study, as well as through on site visits and interviews. The results showed that the tools Green Operation, Green Manufacturing, Green Innovation and Green Sourcing are applied in the company and just Costumer Awareness tool showed no practice at all. To other tools was identified ideology or interest of the company in applying them

Challenges for Brazilian MNCs' international human resources management

Multinationals from emerging countries such as Brazil now take the path of internationalisation where early movers have already been. However, these companies have to develop new tools to deal with their own challenges, since they come from countries with different historical backgrounds and specificities. This paper explores challenges for Brazilian MNCs in terms of HRM when operating abroad. It presents the results of six cases of Brazilian MNCs through a grounded theory study. Results show these companies had to deal with their former economic turbulence, shortage of qualified workforce to work internationally and the need to develop HRM competencies to operate globally.

A resource management scenario for traditional and scientific management of pink shrimp (Farfantepenaeus paulensis) in the Patos Lagoon estuary (RS), Brazil

Abstract Background This article aims to discuss the incorporation of traditional time in the construction of a management scenario for pink shrimp in the Patos Lagoon estuary (RS), Brazil. To meet this objective, two procedures have been adopted; one at a conceptual level and another at a methodological level. At the conceptual level, the concept of traditional time as a form of traditional ecological knowledge (TEK) was adopted. Method At the methodological level, we conduct a wide literature review of the scientific knowledge (SK) that guides recommendations for pink shrimp management by restricting the fishing season in the Patos Lagoon estuary; in addition, we review the ethno-scientific literature which describes traditional calendars as a management base for artisanal fishers in the Patos Lagoon estuary. Results Results demonstrate that TEK and SK describe similar estuarine biological processes, but are incommensurable at a resource management level. On the other hand, the construction of a “management scenario” for pink shrimp is possible through the development of “criteria for hierarchies of validity” which arise from a productive dialog between SK and TEK. Conclusions The commensurable and the incommensurable levels reveal different basis of time-space perceptions between traditional ecological knowledge and scientific knowledge. Despite incommensurability at the management level, it is possible to establish guidelines for the construction of “management scenarios” and to support a co-management process.

Challenges for an Integrated Water Resource Management in the Merguellil basin (Tunisia)

La risorsa acqua in zone semi-aride è sottoposta a un'estrema variabilità climatica nello spazio e nel tempo. La gestione della risorsa acqua è quindi soggetta a un insieme di sfide quando i vincoli naturali vengono uniti agli effetti indotti da attività umana come per esempio l'aumento dello sfruttamento dell'acqua di sottosuolo, cambiamento dell'uso del suolo e presenza di infrastruttura mista. Si spera che il cambiamento climatico e l'attività risultanti dallo sviluppo economico, a corto termine aumentino la pressione su un sistema ormai sensibile. Se pianificato e gestito correttamente, lo stoccaggio dell'acqua, nelle sue varie forme, funge come un meccanismo di controllo della variabilità climatica e può potenziare la capacità adattiva. Lo uadi Merguellil è un corso d'acqua a carattere non perenne al centro della Tunisia, più specificamente a est della città di Kairouan. Il Merguellil drena la pioggia sulla dorsale Tunisina insieme al uadi Zeroud e Nebhana, ed è tra i principali fiumi che scorre sulla piana di Kairouan. Lo stoccaggio dell'acqua nel bacino assume diverse forme come i laghi collinari, i terrazzi, acqua di sottosuolo e una diga. Alcune delle opzioni per lo stoccaggio dell'acqua sono state costruite per preservare la risorsa acqua, mantenere la popolazione rurale e mantenere l'equità tra le zone a monte ed a valle ma solitamente non è mai stata fatta un'analisi comprensiva dei "trade-offs" coinvolti in tali sviluppi. Anche se la ricerca è sviluppata in questa zona, finora nessuna analisi ha cercato di combinare le dinamiche del sistema idrologico con scenari gestionali. L'analisi di scenari gestionali consente ai decisori di valutare delle alternative di pianificazione e può incrementare positivamente la loro abilità di creare delle politiche che si basino sulle necessità fisiche ma anche sociali di un particolare sistema. Questo lavoro è un primo passo verso un Sistema di Gestione Integrata della Risorsa Idrica (inglese: IWMR) capace di mettere in prospettiva strategie future su diverse scale. L'uso di uno strumento metodologico illustra le sfide associate nell'affrontare questo compito. In questo caso, un modello WEAP (Water Evaluation and Planning System) è stato sviluppato in collaborazione con partners Tunisini in modo da integrare le conoscenze su processi fisici e valutare diverse tendenze come l'aumento dell'irrigazione o il cambio di alcuni aspetti climatici. Lo strumento ora è disponibile ai ricercatori locali dove potrà essere sviluppato ulteriormente a fine di indirizzare domande più specifiche. Questo lavoro focalizza lo stoccaggio dell'acqua per poter evidenziare le interazioni dinamiche tra le diverse opzioni di stoccaggio nella zona di studio e valutare i "trade-offs" tra di esse. I risultati iniziali dimostrati in questo lavoro sono: - Se lo sfruttamento degli acquiferi fosse ristretto ai livelli delle loro ricarica, la domanda d'acqua dei diversi utilizzatori non sarebbe soddisfatta al 25% dei livelli di consumo attuale. - La tendenza di incremento dell'agricoltura di irrigazione crea un impatto più accentuato nelle risorse di sottosuolo di quello creato da un'ipotetica riduzione della piovosità all'85% - L'aumento del numero di laghi collinari riduce la quantità d'acqua che arriva a valle, allo stesso tempo aumenta la quantità d'acqua "persa" per evaporazione.

Ultra-low power WSNs: distributed signal processing and dynamic resource management

This thesis presents several data processing and compression techniques capable of addressing the strict requirements of wireless sensor networks. After introducing a general overview of sensor networks, the energy problem is introduced, dividing the different energy reduction approaches according to the different subsystem they try to optimize. To manage the complexity brought by these techniques, a quick overview of the most common middlewares for WSNs is given, describing in detail SPINE2, a framework for data processing in the node environment. The focus is then shifted on the in-network aggregation techniques, used to reduce data sent by the network nodes trying to prolong the network lifetime as long as possible. Among the several techniques, the most promising approach is the Compressive Sensing (CS). To investigate this technique, a practical implementation of the algorithm is compared against a simpler aggregation scheme, deriving a mixed algorithm able to successfully reduce the power consumption. The analysis moves from compression implemented on single nodes to CS for signal ensembles, trying to exploit the correlations among sensors and nodes to improve compression and reconstruction quality. The two main techniques for signal ensembles, Distributed CS (DCS) and Kronecker CS (KCS), are introduced and compared against a common set of data gathered by real deployments. The best trade-off between reconstruction quality and power consumption is then investigated. The usage of CS is also addressed when the signal of interest is sampled at a Sub-Nyquist rate, evaluating the reconstruction performance. Finally the group sparsity CS (GS-CS) is compared to another well-known technique for reconstruction of signals from an highly sub-sampled version. These two frameworks are compared again against a real data-set and an insightful analysis of the trade-off between reconstruction quality and lifetime is given.

Human Resource Performance Metrics: Methods & Processes That Demonstrate You Care

Purpose – The purpose of the present analysis is to show that HR systems are not always designed in ways that consider the well-being of employees. In particular, performance metric methods seem to be designed with organizational goals in mind while focusing less on what employees need and desire. Design/methodology/approach – A literature review and multiple case-study method was utilized. Findings – The analysis showed that performance metrics should be revaluated by executives and HR professionals if they seek to develop socially responsible organizational cultures which care about the well-being of employees. Originality/value – The paper exposes the fact that performance appraisal techniques can be rooted in methodologies that ignore or deemphasize the value of employee well-being. The analysis provides a context in which all HR practices can be questioned in relation to meeting the standards of a social justice agenda in the area of corporate social responsibility.

Resource management in location aware cognitive radio networks

Dynamic spectrum access (DSA) aims at utilizing spectral opportunities both in time and frequency domains at any given location, which arise due to variations in spectrum usage. Recently, Cognitive radios (CRs) have been proposed as a means of implementing DSA. In this work we focus on the aspect of resource management in overlaid CRNs. We formulate resource allocation strategies for cognitive radio networks (CRNs) as mathematical optimization problems. Specifically, we focus on two key problems in resource management: Sum Rate Maximization and Maximization of Number of Admitted Users. Since both the above mentioned problems are NP hard due to presence of binary assignment variables, we propose novel graph based algorithms to optimally solve these problems. Further, we analyze the impact of location awareness on network performance of CRNs by considering three cases: Full location Aware, Partial location Aware and Non location Aware. Our results clearly show that location awareness has significant impact on performance of overlaid CRNs and leads to increase in spectrum utilization effciency.