It has been argued for the past years that one of today’s main important factors for gaining competitive advantage is to implement CSR activities. There have been many studies showing the many benefits CSR have, not only to the organizations but also to society and the environment. However, CSR does not only concern the organization itself but also ensuring that the social and environmental behaviour is accomplished throughout the whole supply chain. Larger firms have the ability to implement and focus on several tasks at once, while small and medium-sized enterprises are struggling with limited resources and cannot afford any mistakes. This study is focusing on how SMEs with limited resources implement CSR within the supply chain and what difficulties they experience, since CSR is often seen as a complex and resource based issue. A case study was conducted at a SME in a B2B context and the study is based on a qualitative approach, with empirical data gathered from five in-depth interviews. After the empirical data was analysed it was concluded that by decreasing the supplier base is a way of gaining stronger contact and trust, also centralizing the supplier base in order to decrease transportation and emissions. SMEs with limited resources can outsource duties such as checkups and audits to external companies in order to assure quality and environmental criteria’s. Also, being an SME with limited resources indicates that the employees have to take on multiple roles in order to adapt to all customer and supplier demands, which was shown to be a complexity since obligations such as making a profitable procurement, were often prioritized before CSR. It was also found that the internal CSR communication was a major contributor to the lack of knowledge as well as interest in the subject, CSR is not seen as an obligation if not having anyone responsible for the CSR activities. Lastly, both CSR and digitalization were found to be two crucial keystones for organizational survival on the market.

Humanitarian logistics and relief supply chain management is a relatively new area of investigation which is typically associated with unexpected disasters that require immediate actions and responses. It can be defined as “the process of planning, implementing, and controlling the efficient, cost-effective flow and storage of goods and materials, as well as related information, from point of origin to point of consumption for the purpose of meeting the end beneficiary‟s requirements” (Thomas, 2005).In both man-made and natural disaster relief processes, humanitarian logistics and relief supply chain operations have been hampered by a lack of information and coordination between actors. Especially in sudden-onset disasters, humanitarian logistics and relief supply chain teams have to be deployed in situations with destabilized infrastructure and with very limited knowledge about the situation at hand (Beamon 2004, Long and Wood 1995, Tomasini and Van Wassenhove 2004).This lack directly affects effective performance in terms of validity and reliability enhancement in which an adapted resiliency management in relief supply chain strategies could offer a solution to cover the problem.The purpose of study ahead is to underline the beneficial advantages offered by using resiliency methods in humanitarian logistics and relief supply chain operations, and enriching the existing benefits that relief chain management teams through the humanitarian logistics techniques have brought to satisfy the survival needs.In fact, the end result of the research will be in both fields of humanitarian logistics and relief supply chain management, and the use of resiliency theories to overcome on barriers and difficulties during relief and aid operations.

<div>As the manufacturing and healthcare systems becomes more complex, efficiently managing these systems requires cooperation and coordination between different parties. This dissertation examines the coordination issues in a supply chain problem and diagnostic decision making in the healthcare system. Below, we provide a brief description of the problem and results achieved. </div><div> </div><div>With supply chain becoming increasingly extended, the uncertainty in the upstream production process can greatly affect the material flow that aims toward meeting the uncertain demand at the downstream. In Chapter 2, we analyze a two-location system in which the upstream production facility experiences random capacities and the downstream store faces random demands. Instead of decomposing the profit function widely used to treat multi-echelon systems, our approach builds on the notions of stochastic functions, in particular, the stochastic linearity in midpoint and the directional concavity in midpoint, which establishes the concavity and submodularity of the profit functions. In general, it is optimal to follow a two-level state-dependent threshold policy such that an order is issued at a location if and only if the inventory position of that location is below the corresponding threshold. When the salvage values of the ending inventories are linear, the profit function becomes decomposable in the inventory positions at different locations and the optimal threshold policy reduces to the echelon base-stock policy. The effect of production and demand uncertainty on inventory levels depends critically on whether the production capacity is limited or ample in relation to the demand. Only when the capacity is about the demand, the upstream facility holds positive inventory; otherwise, all units produced are immediately shipped to the downstream. We further extend our analysis to situations with general stochastic production functions and with multiple locations.</div><div> </div><div> </div><div>In Chapter 3, we examine the two-stage supply chain problem (described in Chapter 2) under the decentralized control. We consider two scenarios. In the first scenario, the retail store does not have any supply information including the inventory level at the manufacturing facility. We show that the upstream and downstream can be dynamically coordinated with proper transfer payment defined on local inventories and their own value function in the dynamic recursion. In the second scenario, the demand distribution is unknown to the manufacturing facility as well as the retail store does not know the supply information. We characterize the optimal transfer contracts under which coordination can be achieved, and propose an iterative algorithm to compute the optimal transfer contracts in the decentralized setting. The total profit of the decentralized system under our algorithm is guaranteed to converge to the centralized optimal channel profit for any demand and supply distribution functions. </div><div> </div><div>In Chapter 4, we provide a case study for the framework developed in [1]. The authors study the evaluation and integration of new medical research considering the operational impacts. As a case study, we first describe their two-station queueing control model using the MDP framework. We then present the structural properties of the MDP model. Since multiple classes of patients are considered in the MDP model, it becomes challenging to solve when the the number of patient classes increases. We describe an efficient heuristic algorithm developed by [1] to overcome the curse of dimensionality. We also test the numerical performance of their heuristic algorithm, and find that the largest optimality gap is less than 1.50% among all the experiments. </div><div> </div>

O trabalho integra idéias fundamentais da gestão do conhecimento e do supply chain management, consideradas de grande importância na dinâmica atual do mercado, procurando contribuir para a gestão de cadeias de produção agroindustriais. A partir dessas idéias, observadas na revisão bibliográfica, desenvolve-se um modelo composto por práticas que devem ser utilizadas na busca de vantagem competitiva sustentável. Observa-se que o modelo se restringe às cadeias de produção agro-alimentícias, cujo agente que agrega maior valor ao produto final é o processador de matéria-prima, chamado, nesta tese, de agente coordenador. O aplicabilidade das práticas do modelo é verificada por meio de pesquisa qualitativa, com a realização de um estudo de caso em um fabricante de refrigerantes, franquia da Divisão Brasil da The Coca-Cola Company. Percebe-se que é possível levar a gestão do conhecimento para o âmbito da cadeia de produção, no entanto, práticas como a elaboração conjunta do planejamento estratégico e o reconhecimento formal da competência essencial da cadeia foram consideradas não aplicáveis para o objeto de análise do trabalho. As demais práticas propostas foram consideradas viáveis. Porém, sabe-se da necessidade de adequação para particularidades e contingências de cada caso. Conclui-se que a gestão da cadeia de suprimentos baseada na gestão do conhecimento e no desenvolvimento de competências é essencial para a competitividade de todas as unidades de negócios e, portanto, da cadeia agro-alimentícia como um todo. / This work integrates fundamental ideas of knowledge management and supply chain management, considered of great importance in the nowadays dynamic of the market, looking to contribute to the agribusiness supply chain management. Using these ideas, cited in the bibliographic revision, it is developed a model composed by practices that should be used in the search of sustained competitive advantage. This model is restricted to agribusiness production chains, whose actor that aggregates most value to the final product is the raw material processor, called in this thesis, of coordenator actor. The appplicability of the model is verified by means of a qualitative research, with the carrying out of a case study in a soft drink producer, franchising of the brazilian division of The Coca-Cola Company. It was realized that it is possible to bring the knowledge management to the scope of production chain, although practices as the joint elaboration of strategic planning and the formal acknowledgment of the essential chain competence were not considered applicable to the work analysis object. The other proposed practices were considered feasible. However, it is known the need to fit the model to the particularities and contingencies of each case and it is recognized how hard it is to apply a model based in the systemic vision. It is concluded that the agribusiness supply chain management under the viewpoint of the knowledge management and the competence development is essential to the competitivity of all business unities and, therefore, of the chain as a whole.

Future customers will demand personalized goods and services. Value creation must therefore have a larger focus on product development and design, supply chain management and after-sales services. The key to success in the future fashion industry, is reduction of the reliance on traditional demand forecasting. Firms should instead put a larger focus on adapting shorter lead times and agile supply chain designs. Industry 4.0 will require an evolution of how clothing is designed and produced. It requires an implementation of new technologies able to identify data for expanding a consumer driven design and product development, combined with new technologies for flexible, local on-demand production. The purpose of the study is to explore how buying firms in the buyer-driven fashion supply chain utilize digitization and digital linking technology to create benefits for the firm. The study is of qualitative character and the reasoning is abductive, as theory on supply chain configuration is applied to the fashion supply chain. The empirical data was generated through in-depth, semi-structured expert interviews through a purposive sample of seven fashion industry professionals. In order to answer the research question, the empirical data was thematically analyzed and a main overarching theme and five subthemes emerged. The themes were compared to the theoretical framework of supply chain configuration. The elementary business opportunity in a digitized supply chain, is the combination of digital and physical resources to raise performance and support business innovation. The configuration between physical units, virtual units and information processing service supply chain units is crucial to create an added value to a service or a product. The empirical data revealed clear examples of how the configuration between the units is applied to create benefits for the firm. The findings elaborate the theory of supply chain configuration and contribute to the research field of strategic management and organizational theory.

O trabalho integra idéias fundamentais da gestão do conhecimento e do supply chain management, consideradas de grande importância na dinâmica atual do mercado, procurando contribuir para a gestão de cadeias de produção agroindustriais. A partir dessas idéias, observadas na revisão bibliográfica, desenvolve-se um modelo composto por práticas que devem ser utilizadas na busca de vantagem competitiva sustentável. Observa-se que o modelo se restringe às cadeias de produção agro-alimentícias, cujo agente que agrega maior valor ao produto final é o processador de matéria-prima, chamado, nesta tese, de agente coordenador. O aplicabilidade das práticas do modelo é verificada por meio de pesquisa qualitativa, com a realização de um estudo de caso em um fabricante de refrigerantes, franquia da Divisão Brasil da The Coca-Cola Company. Percebe-se que é possível levar a gestão do conhecimento para o âmbito da cadeia de produção, no entanto, práticas como a elaboração conjunta do planejamento estratégico e o reconhecimento formal da competência essencial da cadeia foram consideradas não aplicáveis para o objeto de análise do trabalho. As demais práticas propostas foram consideradas viáveis. Porém, sabe-se da necessidade de adequação para particularidades e contingências de cada caso. Conclui-se que a gestão da cadeia de suprimentos baseada na gestão do conhecimento e no desenvolvimento de competências é essencial para a competitividade de todas as unidades de negócios e, portanto, da cadeia agro-alimentícia como um todo. / This work integrates fundamental ideas of knowledge management and supply chain management, considered of great importance in the nowadays dynamic of the market, looking to contribute to the agribusiness supply chain management. Using these ideas, cited in the bibliographic revision, it is developed a model composed by practices that should be used in the search of sustained competitive advantage. This model is restricted to agribusiness production chains, whose actor that aggregates most value to the final product is the raw material processor, called in this thesis, of coordenator actor. The appplicability of the model is verified by means of a qualitative research, with the carrying out of a case study in a soft drink producer, franchising of the brazilian division of The Coca-Cola Company. It was realized that it is possible to bring the knowledge management to the scope of production chain, although practices as the joint elaboration of strategic planning and the formal acknowledgment of the essential chain competence were not considered applicable to the work analysis object. The other proposed practices were considered feasible. However, it is known the need to fit the model to the particularities and contingencies of each case and it is recognized how hard it is to apply a model based in the systemic vision. It is concluded that the agribusiness supply chain management under the viewpoint of the knowledge management and the competence development is essential to the competitivity of all business unities and, therefore, of the chain as a whole.

Microfabricated thermal cyclers for nucleic acid amplification by using polymerase chain reaction (PCR) have been demonstrated by several groups over the last decade, with improved cycling speed and smaller volumes when compared to conventional bench-top cyclers. However, high fabrication costs coupled with difficulties in temperature sensing and control remain impediments to commercialization. In this study we have used a silicon-glass device that takes advantage of the high thermal conductivity of silicon but at the same time utilizes minimum number of fabrication steps to make it suitable for disposable applications. The thermal cycler is based on noncontact induction heating developed in this group. The microchip reaction kinetics is studied for the first time in-situ during PCR, using a real-time fluorescence block that is capable of data acquisition every 0.7 s from the microchip. The fluorescence information from SYBR green I dye is used to optimize microchip amplification reactions and confirm the product by melting curve analysis. We have also developed a novel non-contact temperature sensing technique using SYBR green fluorescence that can be used for miniaturized PCR devices. The thesis is organized into the following chapters. In chapter 1 we introduce the basic biology ideas that are required to understand DNA amplification. DNA based analysis requires amplification of low initial concentrations to above detectable limits using a technique known as polymerase chain reaction (PCR). In this process, the sample is cycled through three thermal steps for 3040 times to produce multiple copies of DNA. In microchip PCR, conventional polypropylene tubes using 2050 µL volume are replaced by miniaturized devices using ~1 µL sample volumes. The device response improves in terms of ramp rate and total analysis time due to the small volume and smart design of the materials. In this chapter we summarize some of the issues important for miniaturized PCR devices and compare them with commercial tube PCR systems. In chapter 2 we describe the induction heating technique that was developed by our group for miniaturized devices. Induction heating is a noncontact heating technique unlike resistive heating which has been commonly used for microchip PCR. Though resistive heating is very efficient in terms of heat transfer efficiency, it is not suitable for disposable devices and requires multi-step microfabrication. Other non-contact heating techniques such as hot air and IR heating require larger size arrangements that are not suitable for miniaturized devices. The heating was verified by using a thermocouple soldered at the back of the secondary plate that was also used for feedback to the comparator circuit for control. The simple on-off circuit was able to control within ±0.1 ◦C with heating and cooling ramp rates of 25 ◦C/s and 2.5 ◦C/s respectively. In this chapter, we also describe the design and fabrication of the silicon-glass microchip fabricated in our lab. We have used silicon-glass hybrid device for PCR in which glass with a 2 mm drilled hole is anodically bonded to an oxidized silicon surface. The hole formed the static reservoir for 3 µL volume of amplification solution. During PCR, the solution needs to be cycled to high temperature of ~95 ◦C. Hence it was necessary to seal the tiny droplet of liquid against evaporation at this temperature. The devices after being filled by sample were covered by 4 µL of mineral oil to serve as an evaporation barrier. It was easy to recover the whole sample after amplification for further testing. Chapter 3 describes the development of a fluorescent block for SYBR green I dye (SG) used for real-time monitoring of the amplification. The block contains a blue LED for excitation, a dichroic beamsplitter, and silicon photodiode along with filters and focusing optics. Signal levels being weak, we incorporated lock-in detection technique. A TTL at 190 Hz was used to pulse the excitation source and detect the emission at the same frequency using a commercial lock-in amplifier. The block was first characterized using a commercial thermal cycler and polypropylene tubes with different dilution of initial template copy number, and the results crosschecked with agarose gel electrophoresis. Performing continuous monitoring every 0.7s within cycles, we discovered interesting features during extension which have not been studied previously. During the constant temperature extension step, the fluorescence shows a rise and then saturates until the temperature is cycled to the next set point. We have confirmed the same behavior in single cycle extension control experiments and established its connection with polymerase extension activity. We were thus able to extract the activity rate for two different kinds of polymerase in-situ during PCR. By monitoring PCR reactions with different fixed extension times, we were able to determine the optimum conditions for tube PCR. Chapter 4 implements the ideas of fluorescence monitoring from tube that was explained in the previous chapter for the silicon-glass microchip. Since the microchip uses parameters such as sample volume, ramp rates, stay time etc. which are different from tube PCR, we performed several initial test experiments to establish key capabilities such as low volume detection, 3 µL amplification, surface passivation of silicon-glass etc. The same fluorescence block was used to obtain DNA melting point information by continuously monitoring ds-DNA with SG while the temperature is ramped slowly (melting curve analysis). Depending on ds-DNA present, the fluorescence gives a melting temperature (TM ), which was used to calibrate the mix temperature with respect to the thermocouple sensor. After successfully calibrating the microchip, we confirmed complete chip PCR in silicon-glass devices using induction heater. The continuous monitoring of chip PCR gave similar curves as obtained previously for tubes except that the signal level was lower in silicon devices. Extension fluorescence information was used to find an optimum temperature for microchip that shows a maximum activity rate. Similarly the reaction time was optimized in-situ during PCR by using continuous fluorescence data in a feedback experiment. The commercial lock-in amplifier was also replaced by a homemade circuit to successfully pickup fluorescence signal from the microchip during melting curve analysis. In chapter 5, we describe a novel technique to sense the temperature from the microchip without touching the sample volume. Usually the temperature is monitored by a sensor spatially separated from the mix and it has always been challenging to measure the exact temperature accurately. Most of the sensors are not biocompatible and too large in size to be placed inside the small volume of liquid. We have developed a protocol that involves SG fluorescence with addition of excess sensor DNA to the amplification solution. The sensor DNA added into the mix is non specific to the primer used for amplification of the template. It therefore does not participate in the amplification and its number remains unchanged throughout the 3040 cycles of PCR. If the amount of sensor DNA is titrated accurately, it will saturate the fluorescence envelope which then shows very reproducible thermal response with cycling. We have used this thermal response of the fluorescence for feedback as a temperature sensor. The fluorescence feedback was shown to produce identical amount of product in comparison to thermocouple feedback. The product can also be verified by melting curve analysis if the sensor DNA is chosen carefully depending on the product. In this chapter we also discuss some preliminary experiments with smart devices that will use dye based temperature sensor and control along with fluorescence based amplification monitoring. Chapter 6 summarizes the thesis and discusses some of the future areas which can be explored in the field of microchip PCR devices.

This thesis presents our recent study of few interesting problems involving activated processes. This chapter gives an overview of the thesis. It is now possible to do single molecule experiments involving enzyme molecules. The kinetics of such reactions exhibits dynamic disorder associated with conformational changes of the enzyme-substrate complex. The static disorder and dynamic disorder of reaction rates, which are essentially indistinguishable in ensemble-averaged experiments, can be determined separately by the real-time single-molecule approach. In our present work we have given a theoretical description of how rate of reactions involving dynamic disorder is studied using path integral approach. It is possible to write the survival probability and the rate of the process as path integrals and then use variational approaches to get bounds for both. Though the method is of general validity, we illustrate it in the case of electronic relaxation in stochastic environment modeled by a particle experiencing diffusive motion in harmonic potential in presence of delta function sink. The exact solution of corresponding Smoluchowski equation was found earlier[1] analytically in Laplace domain with sink having arbitrary strength and position. Exact evaluation of path integral calculation to survival probability is not possible analytically. Wolynes et al.[2] have done an approximate calculation to get bounds to the survival probability in the Laplace domain. A bound in the Laplace domain is not as useful as a bound in the time domain and hence we use the direct approximate variational path integral technique to calculate both lower and upper bound of survival probability in time domain. We mimic the delta function sink by quadratic sink for which the path integral can be solved exactly. The strength of the quadratic sink is treated as variational parameter and using the optimized value for it, one can estimate the optimized lower as well as upper bound of survival probability. We have also calculated a lower bound to the rate. The variational results are compared with the exact ones, and it is found that the results for the two parameter case are better than those of one parameter case. To understand how good our approximation is, we calculate the bounds in survival time and found them to be in good agreement with exact results. Our approach is valid for any arbitrary initial distribution that one may start with. We consider the Kramers problem for a long chain polymer trapped in a biased double well potential. Initially the polymer is in the less stable well and it can escape from this well to the other well by the motion of its N beads across the barrier to attain the configuration having lower free energy. In one dimension we simulate the crossing and show that the results are in agreement with the kink mechanism suggested earlier. In three dimensions, it has not been possible to get analytical “kink solution”for an arbitrary po-tential; however, one can assume the form of the solution of the non-linear equation as a kink solution and then find a double well potential in three dimensions. To verify the kink mechanism, simulations of the dynamics of a discrete Rouse polymer model in a double well in three dimensions were done. We find that the time of crossing is proportional to the chain length which is in agreement with the results of kink mechanism. The shape of the kink solution is also in agreement with the analytical solution in both one and three dimensions. We then consider the dynamics of a short chain polymer crossing over a free energy barrier in space. Adopting the continuum version of the Rouse model, we find exact expressions for the activation energy and the rate of crossing. For this model, the analysis of barrier crossing is analogous to semiclassical treatment of quantum tunneling. Finding the saddle point for the process requires solving a Newton-like equation of motion for a fictitious particle. The analysis shows that short chains would cross the barrier as a globule. The activation free energy for this would increase linearly with the number of units N in the polymer. The saddle point for longer chains is an extended conformation, in which the chain is stretched out. The stretching out lowers the energy and hence the activation free energy is no longer linear in N . The rates in both the cases are calculated using a multidimensional approach and analytical expressions are derived using a new formula for evaluating the infinite products. However, due to the harmonic approximation made in the derivation, the rates are found to diverge at the point where the saddle point changes over from the globule to the stretched out conformation. The reason for this is identified to be the bifurcation of the saddle to give two new saddles. A correction formula is derived for the rate in the vicinity of this point. Numerical results using the formulae are presented. It is possible for the rate to have a minimum as a function of N . This is due to the confinement effects in the initial state. We analyze the dynamics of a star polymer of F arms confined to a double well potential. Initially the molecule is confined to one of the minima and can cross over the barrier to the other side. We use the continuum version of Rouse-Ham model. The rate of crossing is calculated using the multidimensional approach due to Langer[3].Finding the transition state for the process is shown to be equivalent to the solution of Newton’s equations for F independent particles, moving in an inverted potential. For each star polymer, there is a critical total length N Tc below which the polymer crosses over as a globule. The value of NTc depends on the curvature at the top of the barrier as well as the individual arm lengths. So we keep the lengths of (F -1) arms fixed and increase the length of the F th arm to get the minimum total length NTc. Below NTc the activation energy is proportional to the total arm length of the star. Above N Tc the star crosses the barrier in a stretched state. Thus, there is a multifurcation of the transition state at NTc. Above NTc, the activation energy at first increases and then decreases with increasing arm length. This particular variation of activation energy results from the fact that in the stretched state, only one arm of the polymer is stretched across the top of the barrier, while others need not to be. We calculate the rate by expanding the energy around the saddle upto second order in the fluctuations. As we use the continuum model, there are infinite modes for the polymer and consequently, the prefactor has infinite products. We show that these infinite products can be reduced to a simple expression, and evaluated easily. However, the rate diverges near N Tc due to the multifurcation, which results in more than one unstable mode. The cure for this divergence is to keep terms upto fourth order in the expansion of energy for these modes. Performing this, we have calculated the rate as a function of the length of the star. It is found that the rate has a nonmonotonic dependence on the length, suggesting that longer stars may actually cross over faster.

Supplier development (SD) has been intensively and increasingly used in practice and studied in academia. Many studies find that SD can generate operational, capability-based, attitudinal, and financial performance measures for both the supplying firm (supplier) and the buying firm (buyer), but very few studies systematically explain why SD yields supplier’s performance improvements and, in turn, buyer’s performance improvements. Using a meta-analysis approach, this dissertation finds that SD does lead to positive outcomes, but SD is found to have very weak or even negative relationship with performance improvements in some cases. Such findings further support the importance of examining the main research question: why SD works. In order to answer the main research question, this dissertation adopts a multiphase triangulation approach: theoretical construction, conceptual examination, and empirical examination. Doing so, this dissertation constructs and validates a knowledge management (KM) view of SD. The purpose of theoretical construction (Chapter 3) is to develop a KM view of supplier development via a systematic view of previous studies. Presented in Chapter 4, conceptual examination reveals that all SD activities can be subsumed into KM activities, and further conceptually supports the feasibility of the KM view in SD. Empirical examination, including a survey of 39 SD scholars and a survey of 295 SD practitioners (156 complete responses), is presented in Chapters 5 and 6. Most hypotheses are strongly supported, demonstrating the importance of the knowledge-management view of SD. Overall, this dissertation has both theoretical contributions for KM and SD sides, and practical contributions for researchers, practitioners, and educators/students. First, it contributes by supporting the addition of KM variables to other theories when explaining why SD works, confirming the role of KM in SD, providing a complete KM view of SD, and revealing why SD works. Second, it contributes by implementing mixed research methods, integrating multiple disciplines, and exemplifying collecting data on LinkedIn. Third, it contributes by offering a catalog of SD activities and guidance for designing, implementation, and evaluation of SD initiatives. Fourth, it contributes by advancing a mental model to understand SD literature. Conclusions, limitations, and future research directions are also discussed.

Univ., Diss--Marburg, 2007.