A conceptual framework for designing pharmaceutical reverse logistics networks in China

Over latest decade, Reverse Logistics (RL) has gained more and more attention from both industry and academia. In the past, most research on RL has been focused on automobile, electronic waste, computer, paper, package and package material. There is very little research and practice on drug recycling. Nevertheless, it is vital important to properly dispose expired drug because of hazardous contain which may harm to people and environment. In China, public awareness of the harmfulness of expired drugs is still very low and very few efforts have been made to recycle drugs. Therefore, this research aims to build up a conceptual framework to indentify factors of influencing drug recycling in China, from scratch borrowing from existing literature and industry practices in other recycling areas. This framework helps in designing reverse logistic (RL) network and also can provide a useful reference tool for policymakers at the local and national level. Furthermore, a primary research is planed to validate the framework and RL network.

Reframing reverse logistics, reducing costs

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

An emergy-based evaluation of a reverse logistics network for steel recycling

Efficient implementation of recycling networks requires appropriate logistical structures for managing the reverse flow of materials from users to producers. The steel sheet distributor studied had established a protocol for scrap recovery with the steel plant and its customers. The company invested in producing containers, hiring a specialized labor force and in purchasing trucks for container transportation to implement the logistics network for recycling. That network interconnected the company with two kinds of customers: the ones returning scrap and the ones who preferred to continue business-as-usual. The logistical network was analyzed using emergy synthesis, and the data obtained were used to evaluate and compare the system's environmental costs and benefits from the perspective of the distributor and the steel plant operator. The use of emergy ternary diagrams provided a way to assess recycle strategies to compare the relative economic and environmental benefits of the logistical network implemented. The minimum quantity of scrap that the distributor must recover to improve environmental benefits was determined allowing decision on whether it is worth keeping the system running. The new assessment method proposed also may help policy-makers to create strategies to reward or incentive users of reverse logistics, and help to establish regulations, by decreasing taxes or stimulating innovation, for effectively implement the National Policy on Solid Waste. (C) 2013 Elsevier Ltd. All rights reserved.

Partner selection for reverse logistics centres in green supply chains: a fuzzy artificial immune optimization approach

The design of reverse logistics networks has now emerged as a major issue for manufacturers, not only in developed countries where legislation and societal pressures are strong, but also in developing countries where the adoption of reverse logistics practices may offer a competitive advantage. This paper presents a new model for partner selection for reverse logistic centres in green supply chains. The model offers three advantages. Firstly, it enables economic, environment, and social factors to be considered simultaneously. Secondly, by integrating fuzzy set theory and artificial immune optimization technology, it enables both quantitative and qualitative criteria to be considered simultaneously throughout the whole decision-making process. Thirdly, it extends the flat criteria structure for partner selection evaluation for reverse logistics centres to the more suitable hierarchy structure. The applicability of the model is demonstrated by means of an empirical application based on data from a Chinese electronic equipment and instruments manufacturing company.

Hierarchical models for 2D presence/absence data having ambiguous zeroes: With a biogeographical case study on dingo behaviour

This dissertation is primarily an applied statistical modelling investigation, motivated by a case study comprising real data and real questions. Theoretical questions on modelling and computation of normalization constants arose from pursuit of these data analytic questions. The essence of the thesis can be described as follows. Consider binary data observed on a two-dimensional lattice. A common problem with such data is the ambiguity of zeroes recorded. These may represent zero response given some threshold (presence) or that the threshold has not been triggered (absence). Suppose that the researcher wishes to estimate the effects of covariates on the binary responses, whilst taking into account underlying spatial variation, which is itself of some interest. This situation arises in many contexts and the dingo, cypress and toad case studies described in the motivation chapter are examples of this. Two main approaches to modelling and inference are investigated in this thesis. The first is frequentist and based on generalized linear models, with spatial variation modelled by using a block structure or by smoothing the residuals spatially. The EM algorithm can be used to obtain point estimates, coupled with bootstrapping or asymptotic MLE estimates for standard errors. The second approach is Bayesian and based on a three- or four-tier hierarchical model, comprising a logistic regression with covariates for the data layer, a binary Markov Random field (MRF) for the underlying spatial process, and suitable priors for parameters in these main models. The three-parameter autologistic model is a particular MRF of interest. Markov chain Monte Carlo (MCMC) methods comprising hybrid Metropolis/Gibbs samplers is suitable for computation in this situation. Model performance can be gauged by MCMC diagnostics. Model choice can be assessed by incorporating another tier in the modelling hierarchy. This requires evaluation of a normalization constant, a notoriously difficult problem. Difficulty with estimating the normalization constant for the MRF can be overcome by using a path integral approach, although this is a highly computationally intensive method. Different methods of estimating ratios of normalization constants (N Cs) are investigated, including importance sampling Monte Carlo (ISMC), dependent Monte Carlo based on MCMC simulations (MCMC), and reverse logistic regression (RLR). I develop an idea present though not fully developed in the literature, and propose the Integrated mean canonical statistic (IMCS) method for estimating log NC ratios for binary MRFs. The IMCS method falls within the framework of the newly identified path sampling methods of Gelman & Meng (1998) and outperforms ISMC, MCMC and RLR. It also does not rely on simplifying assumptions, such as ignoring spatio-temporal dependence in the process. A thorough investigation is made of the application of IMCS to the three-parameter Autologistic model. This work introduces background computations required for the full implementation of the four-tier model in Chapter 7. Two different extensions of the three-tier model to a four-tier version are investigated. The first extension incorporates temporal dependence in the underlying spatio-temporal process. The second extensions allows the successes and failures in the data layer to depend on time. The MCMC computational method is extended to incorporate the extra layer. A major contribution of the thesis is the development of a fully Bayesian approach to inference for these hierarchical models for the first time. Note: The author of this thesis has agreed to make it open access but invites people downloading the thesis to send her an email via the 'Contact Author' function.

Recursive pathways to marginal likelihood estimation with prior-sensitivity analysis

We investigate the utility to computational Bayesian analyses of a particular family of recursive marginal likelihood estimators characterized by the (equivalent) algorithms known as "biased sampling" or "reverse logistic regression" in the statistics literature and "the density of states" in physics. Through a pair of numerical examples (including mixture modeling of the well-known galaxy dataset) we highlight the remarkable diversity of sampling schemes amenable to such recursive normalization, as well as the notable efficiency of the resulting pseudo-mixture distributions for gauging prior-sensitivity in the Bayesian model selection context. Our key theoretical contributions are to introduce a novel heuristic ("thermodynamic integration via importance sampling") for qualifying the role of the bridging sequence in this procedure, and to reveal various connections between these recursive estimators and the nested sampling technique.

Modelo de recolección de residuos sólidos botellas plásticas y latas utilizando como aliado el sistema de transporte masivo en Bogotá

En las grandes ciudades, la disposición de residuos se ha convertido en un problema ambiental de magnitud mundial con impacto negativo por el manejo inadecuado de los residuos sólidos diarios. El propósito es utilizar el sistema de transporte publico de Bogotá (Transmilenio) como punto de recolección de botellas plásticas y latas, para crear un proyecto de responsabilidad ambiental el cual tendrá resultados positivos a nivel cultural, social, y a largo plazo, financieramente. A través del estudio de diferentes propuestas tanto locales como internacionales, fueron identificados los principales factores de éxito de estos proyectos los cuales se incluyeron para adecuar la presente propuesta para la ciudad de Bogotá teniendo en cuenta sus actuales condiciones. Después de identificar las características requeridas para Bogotá, se realizó un estudio demográfico para poder saber cuántos ciudadanos estarían dispuestos a participar. Como resultado, muchos pasajeros de Transmilenio esperan una retribución económica en el costo del pasaje del sistema. La prueba piloto se diseñó de acuerdo con la cantidad de envases recolectados, incluyendo el tipo de vehículos, como también la cantidad de personas y maquinas necesarias para el éxito del proyecto. Con la propuesta del proyecto completa, se realiza una evaluación financiera y económica para identificar los costos y gastos. La conclusión final de esta propuesta es que el modelo propuesto puede ser aplicado en Bogotá dadas sus características. Los beneficios sociales y ambientales también se destacan, como también el cambio cultural por parte de los ciudadanos hacia las prácticas ecológicas.

Logística reversa numa empresa de laminação de vidros: um estudo de caso

Este trabalho apresenta uma aplicação da Logística Reversa numa empresa multinacional que atua na área de laminação de vidros no Brasil. Na empresa estudada, a sucata gerada pelos seus clientes pode ser usada para realimentar o seu processo de produção. Inicialmente, são discutidos os principais aspectos relacionados ao tema, tais como, definição de Logística Reversa, ciclo de vida do produto, motivos e destinos do retorno, além dos fatores que influenciam a eficiência de um processo de Logística Reversa. A seguir, ilustradas pelo estudo de caso, são apresentadas e comentadas as etapas para uma implementação de um sistema de Logística Reversa ser bem sucedida. Finalmente, comentam-se as dificuldades, ganhos e vantagens competitivas obtidas por empresas que adotaram soluções da Logística Reversa, em particular na empresa em que o estudo de caso foi desenvolvido.

Modelo de Gerenciamento da Logística Reversa

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Green supply chain management: Mapping the territory

The objective of this paper is to identify the main definitions, related practices and to point out future directions in green supply chain management (GSCM). After a literature review and systematisation of the published articles in this field, it was possible to identify: a) the main research objectives of analysed papers; b) the research methods adopted; c) the predominantly analysed industrial sectors; d) the GSCM practices considered by the researchers. Results are presented in each of these analytical perspectives. The main findings are: 1) there are various classifications, nomenclatures and types of GSCM practices, but the most commonly used by studies in GSCM are cleaner production, product design, reverse logistic and green purchasing; 2) from the highlighted definitions, the tonic is to adapt operating activities and incorporate the supply chain management philosophy (integration/ collaboration) to environmental concerns (impact reduction) in relations between links in the chain. These results can be useful for those interested in environmental management as well as supply chain management, considering the growing interest in GSCM. We also propose a research agenda on this subject. This is one of the most recent literature review and systematisation on green supply chain management. © 2013 Inderscience Enterprises Ltd.

Proposta de reestruturação do fluxo logístico reverso de embalagens hortifrutícolas

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Business process reengineering: soluzioni ingegneristiche in ottica di re-layout, riorganizzazione del processo "service" ed attività di vendor rating in HSD S.p.A.

L'attività svolta in HSD S.p.A. si è concentrata sulle seguenti tematiche: progettazione di un nuovo layout con annessa pianificazione delle attività necessarie e valutazione economica dell'investimento, audit focalizzato ad individuare le criticità legate al processo di logistica inversa e proporne soluzioni migliorative ed infine implementazione di un sistema di controllo specifico e comparato dei fornitori.

Gestão de embalagens vazias de agrotóxicos - logística reversa em pequenos municípios brasileiros: o caso do município de Bom Repouso, MG

O Brasil assumiu e mantém desde 2008 o primeiro lugar mundial em consumo de agrotóxicos e, tendo em vista este uso intensivo, é possível estimar a grande quantidade de embalagens vazias de agrotóxicos (EVAs) geradas todos os anos no país. Com a promulgação da Lei 9974 de 2000, a criação do Instituto Nacional de Processamento de Embalagens Vazias (inpEV) em 2001 e a implantação da Política Nacional de Resíduos Sólidos (PNRS) em 2010, a destinação adequada das EVAs por meio da logística reversa passou a ocorrer de maneira mais eficiente, chegando a um percentual de 94% de devolução em 2014 segundo dados do INPEV. No entanto, este processo foi originalmente concebido para atender grandes áreas rurais, com economias de escala que o favorecem, e portanto não está adequado à realidade de pequenas comunidades rurais, geralmente com infraestrutura precária e mais isoladas. Sendo assim, ainda é comum nos municípios de pequeno porte que essas embalagens sejam queimadas, armazenadas em locais não adequados ou simplesmente abandonadas no campo. Dessa forma, o objetivo deste estudo foi analisar a gestão de EVAs em pequenos municípios agrícolas brasileiros, com foco no processo de logística reversa, a partir de um estudo de caso. Este foi realizado em Bom Repouso, MG, município de 10500 habitantes, caracterizado pela produção de morango e batata, com mão de obra familiar e uso intensivo de agrotóxicos. As seguintes etapas de pesquisa foram desenvolvidas: entrevistas semiestruturadas com os atores da cadeia de logística reversa de EVAs; levantamento documental; análise comparativa entre a quantidade de embalagens vendidas e a quantidade total de embalagens devolvidas entre os anos de 2012-2013 e 2013-2014, bem como um levantamento dos agrotóxicos mais comercializados no município. Verificou-se que, no período 2012-2013, a quantidade de embalagens vendidas foi cerca de 30 vezes maior que a de embalagens devolvidas, e para o período entre 2013-2014 a mesma relação foi da ordem de 26 vezes. Além disso, a massa total de embalagens devolvidas corresponde a apenas 3,3% da massa de vendidas no período 2012-2013, e 3,8% para 2013-2014. Ou seja, aproximadamente 96% das embalagens comercializadas em ambos os períodos não foram devolvidas à central de Pouso Alegre. Além disso, há produtos extremamente tóxicos para a saúde e para o meio ambiente entre os 20 mais vendidos no município. Não estão estabelecidas políticas públicas municipais voltadas à gestão desses resíduos, como pode ser verificado através das entrevistas e do levantamento documental. Dificuldades relacionadas ao armazenamento das EVAs até o momento da devolução e seu transporte até a Central de Recolhimento foram apontadas pelos entrevistados como principais motivos para não cumprir suas responsabilidades e, consequente, descartar inadequadamente esses resíduos.

Comment on "correlated noise in a logistic growth model"

We argue the results published by Bao-Quan Ai et al [Phys. Rev E 67, 022903 (2003)] on "correlated noise in a logistic growth model " are not correct. Their conclusion that for larger values of the correlation parameter, lambda, the cell population is peaked at x=0, which denotes the high extinction rate is also incorrect. We find the reverse behaviour corresponding to their results, that increasing lambda, promotes the stable growth of tumour cells. In particular, their results for steady-state probability, as a function of cell number, at different correlation strengths, presented in figures 1 and 2 show different behaviour than one would expect from the simple mathematical expression for the steady-state probability. Additionally, their interpretation at small values of cell number that the steady state probability increases as they increase the correlation parameter is also questionable. Another striking feature in their figures (1 and 3) is that for the same values of the parameter lambda and alpha, their simulation produces two different curves both qualitatively and quantitatively.