Purpose of this paper: The purpose of this paper is to provide an overview of the factors that enable or aggravate the implementation of a GSCM strategy for textile and fashion companies. Moreover, it shall be investigated how textile and fashion companies perceive their incentives of implementing GSCM and what their organizational responses regarding the perceived barriers and enablers look like. Design/methodology/approach: The report combines a literature study on previous research in the field of supply chain management, Green Supply Chain Management and the drivers and barriers of implementing a GSCM strategy, with an empirical study consisting of an online survey, a semi-structured interview and two case studies that are based on literature review. In order to analyze the survey results, a method to calculate a company’s GSCM incentive score has been developed. Findings: The factors that have been identified as the strongest or most important ones by many companies of the survey, as well as the interviewee and the case studies are supplier collaboration, the lack of supplier commitment, customer demand for more sustainability, customer desire for lower prices and top management commitment. Some companies also perceived the alignment of their company’s strategy as strong GSCM enabler. However, the calculation shows that the overall incentive score of most participants is in the neutral level; meaning that they in total perceive neither significant incentives nor barriers to implement GSCM. With mostly internal enablers and external barriers, more than half of the survey participants can be categorized as Agenda Setters. Research limitations: Due to the low response rate, the sample size of this study is very small. Moreover, the results strongly depend on the personal opinion and experiences of the interviewee and the individual situations of the companies. This means that the results of this study give an indication, but are not generalizable. Therefore, another study with a different sampling method and a larger sample size is needed. Practical implications: The outcomes of this study show that GSCM concerns every aspect of a supply chain. A company that wants to engage in GSCM needs to have good relationships with and control over its suppliers in order to ensure that they fulfill the sustainability requirements, and deal with pressure from NGOs. Additionally, the company needs to balance customer demands for low prices and sustainability, expect some (one-time) investments and sacrifice short-term profit in order to ensure sustainable production. Originality/value: This report identifies the most important GSCM barriers and enablers for textile companies. By evaluating how companies within the textile and fashion sector perceive their incentives of implementing GSCM and investigating their organizational behavior towards barriers and enablers of GSCM, this study indicates what the current situation in the textile industry looks like; shows where improvements are necessary and gives insight for companies that aim to engage in green practices. The development of the so called GSCM incentive score; a method to calculate a company’s perceived incentives to implement a GSCM strategy, can be useful for future studies within this field.

Introduction: It is undeniable that green effort returns more than just a better image for firms. GSCM initiative has resulted in many successful companies transition to a more sustainable organization and supply network. However, the evidence for smaller entities are not abundantly available and one can assume that GSCM is not currently adopted among this size of enterprises. With this premise, the study focuses on why these firms are reluctant to adopt GSCM initiative. The study focuses on a single case study of one successful business not adopting GSCM.   Purpose: To help SMEs prepare for what they might expect when taking green initiative, this study seeksto find barriersfor why GSCM is not adopted among smaller firms. Method: A single holistic explorative study have been conducted. With qualitative approach, the interviews are analyzed and deliver enriched data to unveil reason for thefirms in this study supply network.  Findings: Every respondent admitted to having financial constraint. Therefore, they are not investing in the GSCM initiative because of unknown ROI.This indicate that the firm do not know enough about the initiative and left out one important activity following the initiative, the value chain. These firms also recognize external barriers, this again turnsback to knowledge of value chain and lacking in communication.  Conclusion: The barriers appear in internal and external form, meaning that some barriers are over the firm’s owncontrol. However, smaller firms somehow unconsciously create own barriers by not having a good communication and neglecting shared environmental value within their own supply network.

Exploring the impacts of green implementations in supply chain management in small medium enterprises. Purpose: To explore what impacts green investments have in supply chain management. Research questions 1: What impacts have green implementations had on supplier relationships? Research question 2: What impacts have laws and regulations had on green supply chain management?

<p>Traditional manufacturing industries develop the contradiction between human beings and the environment is becoming more and more serious. In order to solve this problem, the establishment of green supply chain management can to be a way, to introduce the idea of sustainable development in practice. The pollution from the car industry is a problem today, so developing green supply chain management is important. The purpose of this thesis is to establish green supply chain management supplier evaluation index system by taking BYD as an example. In this thesis, we study the problem by using primary and secondary data, by combining the reality with the theories. First, we introduce the principle and basic situation of green supply chain management in China now, then we analyze the aspects that green supply chain management should include in BYD. We propose a plan for the improvement of green supply chain management in BYD and construct the GSCM performance index system. Eventually we proformce a plan for the establishment of green supply chain management in BYD.</p>

Traditional manufacturing industries develop the contradiction between human beings and the environment is becoming more and more serious. In order to solve this problem, the establishment of green supply chain management can to be a way, to introduce the idea of sustainable development in practice. The pollution from the car industry is a problem today, so developing green supply chain management is important. The purpose of this thesis is to establish green supply chain management supplier evaluation index system by taking BYD as an example. In this thesis, we study the problem by using primary and secondary data, by combining the reality with the theories. First, we introduce the principle and basic situation of green supply chain management in China now, then we analyze the aspects that green supply chain management should include in BYD. We propose a plan for the improvement of green supply chain management in BYD and construct the GSCM performance index system. Eventually we proformce a plan for the establishment of green supply chain management in BYD.

Environmental pollution is the major problem that mankind faces in present state, the major emission of toxic gases is from vehicles and manufacturing industries. The thesis study focuses on three different types of Small Scale Industries (SSI) in India that are bumper manufacturing industry, dyeing industry and food processing industry. The product life cycles of the process for each industry are identified and their final green waste disposal methods are investigated. The industries are identified with more lean wastes within their product life cycle process. The major green wastes from their disposal methods have high influence on environment. These wastes have to be reduced or eliminated by practicing a suitable supply chain. In present the companies doesn’t practice any supply chain in their organization. The implement of supply chain could reduce the environmental pressures and wastes of the companies to some extent. The lean wastes identified in the process could be eliminated by practicing suitable lean tools and methods. The final disposal wastes are considered to be the green wastes. The method of disposal practiced by the SSIs in India shows an evidence of how much they concern towards the environment. The research tries to explain some suitable waste management techniques for the industries and discusses about importance of government role on making this techniques possible. The small scale industries experiences both wastes, so it has to integrate lean for practicing green supply chain, the implementation of lean would pay a way for green supply chain management. As a result of it a comprehensive lean and green model is suggested for the industries because the model is composed of both lean and green waste reduction techniques and it also helps in achieving both lean and green business results.

No description available.

<p>The objective with this thesis is to clarify the advantages - both economic and environmental - that companies in the Thai electronic manufacturing industry can draw from managing their supply chain and adding a green aspect to it. This through investigations of the concept known as Green Supply Chain Management (GSCM). The research will assist companies with scarce knowledge of green supply chain management in making decisions and priorities in that area.</p><p>Semi-structured interviews were performed on sight in Bangkok, Thailand and surrounding region. These provided insight and knowledge of the situation and today-state regarding environmental awareness and GSCM implementation within the Thai Electrical and Electronics Industries. Interviews were performed with representatives and experts from different sectors – from universities, industry and supporting agencies and serve as the foundation for the research.</p><p>A model has been developed out of previous research and findings that could suit the Thai industry. This model can be seen as guidelines in the work towards becoming green and aims at continuous improvement of the organizations environmental performance.</p><p>In Thailand today companies do not see the benefits of themselves review their organizations environmental impact or developing in this area. Environmental awareness among the public is low and the lack of demand for green products result in few drivers for companies to become green. Also the lack of proper legislation and compliance audits are part of the problem. Missing environmental education and knowledge are extensive and improvements needed. The concept of GSCM is not wide spread but popularity is increasing steadily. Some environmental initiatives are though performed in the industry but not under the name of the concept. Customer demands, legislation and education should be the main focus areas for developing the industry.</p><p>From the today state at a very basic low much is to be done. Fear of large investments, cost and the lack of knowledge are obstacles to the development. This research shows that these concerns are to be avoided. And by following the model in this thesis companies can find proper knowledge in the area of GSCM. Concluded is that with understanding of the concept and proper implementation from the right knowledge Thai companies can gain great advantages in the future - both economical and environmental.</p>

The objective with this thesis is to clarify the advantages - both economic and environmental - that companies in the Thai electronic manufacturing industry can draw from managing their supply chain and adding a green aspect to it. This through investigations of the concept known as Green Supply Chain Management (GSCM). The research will assist companies with scarce knowledge of green supply chain management in making decisions and priorities in that area. Semi-structured interviews were performed on sight in Bangkok, Thailand and surrounding region. These provided insight and knowledge of the situation and today-state regarding environmental awareness and GSCM implementation within the Thai Electrical and Electronics Industries. Interviews were performed with representatives and experts from different sectors – from universities, industry and supporting agencies and serve as the foundation for the research. A model has been developed out of previous research and findings that could suit the Thai industry. This model can be seen as guidelines in the work towards becoming green and aims at continuous improvement of the organizations environmental performance. In Thailand today companies do not see the benefits of themselves review their organizations environmental impact or developing in this area. Environmental awareness among the public is low and the lack of demand for green products result in few drivers for companies to become green. Also the lack of proper legislation and compliance audits are part of the problem. Missing environmental education and knowledge are extensive and improvements needed. The concept of GSCM is not wide spread but popularity is increasing steadily. Some environmental initiatives are though performed in the industry but not under the name of the concept. Customer demands, legislation and education should be the main focus areas for developing the industry. From the today state at a very basic low much is to be done. Fear of large investments, cost and the lack of knowledge are obstacles to the development. This research shows that these concerns are to be avoided. And by following the model in this thesis companies can find proper knowledge in the area of GSCM. Concluded is that with understanding of the concept and proper implementation from the right knowledge Thai companies can gain great advantages in the future - both economical and environmental.

Abstract This dissertation presents complete parameterizations for a three-dimensional (3-D) geometry-based stochastic radio channel model (GSCM) at 10 GHz based on measurement campaigns. The thesis is divided into the following main parts: radio channel measurements, the characterization of model parameters, and model validation. Experimental multiple-input multiple-output (MIMO) channel measurements carried out in two-story lobby and urban small cell scenarios are first described. The measurements were performed with a vector network analyzer and dual polarized virtual antenna arrays with a bandwidth over 500 MHz. The measurement data was post-processed using the ESPRIT algorithm and the post-processed data was verified using a semi-deterministic map-based model. The results showed a good match between estimated and modeled multipath components (MPCs). In addition, single-input single-output outdoor-to-indoor measurements were executed through a standard multi-pane glass window and concrete wall. A statistical analysis was carried out for defining full 3-D characterization of the propagation channel in both line-of-sight (LOS) and non-line-of-sight (NLOS) propagation conditions. The delay and angular dispersions of MPCs are smaller in comparison to lower frequency bands due to the higher attenuation of the delayed MPCs. Moreover, specular reflection is observed to be the more dominant propagation mechanism in comparison to diffuse scattering, leading to smaller cluster angle spreads in comparison to lower frequency bands. The penetration loss caused by a standard multi-pane glass window is on the same level as in the lower frequency bands, whereas the loss caused by the concrete wall is a few dBs higher than at lower frequency bands. Finally, the GSCM with determined parameters is validated. A MIMO channel was reconstructed by embedding 3-D radiation patterns of the antennas into the propagation path estimates. Equivalently the channel simulations were performed with a quasi deterministic radio channel generator (QuaDRiGa) using the defined parameters. The channel capacity, Demmel condition number, and relative condition numbers are used as the comparison metrics between reconstructed and modeled channels. The results show that the reconstructed MIMO channel matches the simulated MIMO channel well. / Tiivistelmä Tämä väitöskirja esittää parametroinnit kolmiulotteiselle geometriaan perustuvalle stokastiselle radiokanavamallille 10 GHz:n taajuusalueella perustuen mitattuun radiokanavaan. Väitöskirja koostuu kolmesta pääalueesta: radiokanavamittaukset, radiokanavamallin parametrien määrittäminen ja mallin validointi. Aluksi kuvataan kaksikerroksisessa aula ja kaupunkipiensolu ympäristöissä monilähetin monivastaanotin (MIMO) järjestelmällä tehdyt kanavamittaukset. Mittaukset tehtiin vektoripiirianalysaattorilla ja kaksoispolaroiduilla virtuaaliantenniryhmillä 500 MHz kaistanleveydellä. Mittausdata jälkikäsiteltiin käyttämällä ESPRIT-algoritmia ja jälkikäsitelty data varmennettiin osittain deterministisellä mittausympäristön karttaan pohjautuvalla radiokanavamallilla. Tulokset osoittivat hyvän yhteensopivuuden mitattujen ja mallinnettujen moniteiden välillä. Lisäksi toteuttiin yksi-lähetin yksi-vastaanotin mittaukset ulko-sisä etenemisympäristössä monikerroksisen lasin ja betoniseinän läpi. Tilastollinen analyysin avulla määritettiin täysi kolmiulotteinen kuvaus radioaallon etenemiskanavasta näköyhteys ja näköyhteydettömässä tilanteissa. Moniteiden suuremmista vaimennuksista johtuen viive ja kulmahajonnat ovat pienemmät verrattaessa matalempiin taajuuksiin. Peiliheijastus on diffuusisirontaa merkittävämpi radioaallon etenemismekanismi johtaen pienempiin klustereiden kulmahajeisiin matalempiin taajuuksiin verrattuna. Monikerroksisen lasin läpäisyvaimennus on samankaltainen kuin alemmilla taajuuksilla, kun sitä vastoin betoniseinän vaimennus on muutaman desibelin suurempi kuin alemmilla taajuuksilla. Lopulta geometriaan perustava stokastinen radiokanavamalli validoidaan määritellyillä parametreilla. MIMO kanava uudelleen rakennetaan lisäämällä kolmiulotteiset antennien säteilykuviot estimoituihin radioaallon etenemisteihin. Vastaavasti radiokanava simuloidaan näennäisesti deterministisellä radiokanavageneraattorilla (QuaDRiGa) käyttäen määriteltyjä mallin parametreja. Kanavakapasiteettia, Demmel ehtolukua ja suhteellista ehtolukua käytetään vertailumittareina uudelleen rakennetun ja simuloidun kanavan välillä. Tulosten perusteella uudelleen rakennettu MIMO kanava on yhteensopiva simuloidun radiokanavan kanssa.