Background: Nowadays an ever-increasing amount of data is generated which is why companies face the challenge of extracting valuable information from these data streams. An enhanced Information Utilisation carriers the opportunity for improved decision-making. This could address challenges that come along with delayed trucks in inbound logistics and associated warehouse resource planning. Purpose: This study aims to deepen the understanding of Big Data Analytics capabilities that foster Information Integration and decision support to facilitate Information Utilisation. We apply this to the context of warehouse resource replanning in inbound logistics in case of unexpected short-term deviations. Method: We conducted a qualitative research study, comprising a Ground Theory approach in combination with an abductive reasoning. Derived from a literature review we adapted a framework and proposed an own conceptual framework after conducting and analysing 14 semi-structured interviews with inbound logistics practitioners and experts. Conclusion: We identified four interconnected capabilities that facilitate Information Utilisation. Data Generation Capabilities and Data Integration & Management Capabilities contribute to improved Information Integration, establishing a base for subsequent data analytics. Consequently, Data Analytics Capabilities and Data Interpretation Capabilities lead to enhanced decision support, facilitating Information Utilisation.

<p>Business has globalized rapidly during the last decades. Distances between point of origin and point of consumption have increased as a result of globalization. Today’s increased distances mean that companies require faster logistic responses. Air transportation is preferred because it’s worldwide lead-time, of just 1-2 day, fulfill business expectations. However, transportation operation costs have risen dramatically and there are growing concerns about the high CO₂ emission levels associated with air transportation. These issues have recently become a point of focus for most globalized companies.</p><p>Currently, Atlas Copco Rock Drills AB, in Örebro is mostly using air transportation for their inbound logistics flow from North America <em>Shared Distribution Center </em>(SDC). In this thesis, sea transportation is surveyed to asses it’s suitability as a replacement in both economic and environmental terms. The formulated questions are:</p><p>(1) For which items can SDC use sea transportation instead of air transportation at the lowest cost and with the lowest risk?</p><p>(2) How much can SDC reduce their CO2 emission with the new setup? Does it comply with the ”environmental targets” of Atlas Copco Rock Drills AB?</p><p>(3) How would SDC make decisions about suitable transportation setups for additional items in the future?</p><p>When the transportation method is changed from air to sea more than one of the total logistics costs are affected. In reflection of the longer lead-times connected with sea transportation warehousing costs will increase. Therefore, when researching the ”lowest cost” we must consider the lowest total logistics cost. Extended lead-times also decrease the companies’ capability for flexibility; additionally, there will be heightened risk in connection with product life cycles. The possible environmental effects of sea transportation are considered carefully before an item’s transportation method change is suggested to the company. All calculations of CO₂ emissions have been done in accordance with <em>Nätverk </em><em><em></em></em><em><em>för Transporter och Miljö ’s (Network for Transporter and Environment) (NTM) formula </em></em>in order to reach a credible result. The findings are compared with the company’s environmental policy. An excel model has been developed to calculate results for extra items which may be added to the product range in the future.</p><p>As a result of the research analysis it has been shown possible to reduce total logistic cost up to, 33%, 3.247.000 SEK. By changing transportation mode, the CO₂ emission levels for transportation per item for these can even be reduced by up to 97%. Additionally, the excel model can be used internally to implement future changes.</p>

Business has globalized rapidly during the last decades. Distances between point of origin and point of consumption have increased as a result of globalization. Today’s increased distances mean that companies require faster logistic responses. Air transportation is preferred because it’s worldwide lead-time, of just 1-2 day, fulfill business expectations. However, transportation operation costs have risen dramatically and there are growing concerns about the high CO2 emission levels associated with air transportation. These issues have recently become a point of focus for most globalized companies. Currently, Atlas Copco Rock Drills AB, in Örebro is mostly using air transportation for their inbound logistics flow from North America Shared Distribution Center (SDC). In this thesis, sea transportation is surveyed to asses it’s suitability as a replacement in both economic and environmental terms. The formulated questions are: (1) For which items can SDC use sea transportation instead of air transportation at the lowest cost and with the lowest risk? (2) How much can SDC reduce their CO2 emission with the new setup? Does it comply with the ”environmental targets” of Atlas Copco Rock Drills AB? (3) How would SDC make decisions about suitable transportation setups for additional items in the future? When the transportation method is changed from air to sea more than one of the total logistics costs are affected. In reflection of the longer lead-times connected with sea transportation warehousing costs will increase. Therefore, when researching the ”lowest cost” we must consider the lowest total logistics cost. Extended lead-times also decrease the companies’ capability for flexibility; additionally, there will be heightened risk in connection with product life cycles. The possible environmental effects of sea transportation are considered carefully before an item’s transportation method change is suggested to the company. All calculations of CO2 emissions have been done in accordance with Nätverk för Transporter och Miljö ’s (Network for Transporter and Environment) (NTM) formula in order to reach a credible result. The findings are compared with the company’s environmental policy. An excel model has been developed to calculate results for extra items which may be added to the product range in the future. As a result of the research analysis it has been shown possible to reduce total logistic cost up to, 33%, 3.247.000 SEK. By changing transportation mode, the CO2 emission levels for transportation per item for these can even be reduced by up to 97%. Additionally, the excel model can be used internally to implement future changes.

Cytiva is a global provider of technologies to global pharmaceutical companies and it is critical to ensure that Cytiva’s customers receive deliveries of products on-time. Cytiva’s products are shipped via road transportation within most parts of Europe and for the rest in the world air freight is used. The company is challenged to deliver products on time between regional distribution points and from manufacturing sites to its regional distribution centers. The time performance for the delivery of goods is today 79% compared to the company’s goal 95%. The goal of this work is to find the root causes and recommend improvement opportunities for the logistics organizations inbound in-transit time performance towards their target of 95% success rate of shipping in-transit times. Data for this work was collected from the company’s system to create visibility for the logistics specialists and to create a prediction that can be used for the warehouse in Rosersberg. Visibility was created by implementing various dashboards in the QlikSense program that can be used by the logistics group. The prediction models were built on Holt-Winters forecasting technique to be able to predict quantity, weight and volume of products, which arrive daily within five days and are enough to be implemented in the daily work. With the forecasting technique high accurate models were found for both the quantity and weight with accuracies of 96.02% and 92.23%, respectively. For the volume, however, too many outliers were replaced by the mean values and the accuracy of the model was 75.82%. However, large amounts of discrepancies have been found in the data which today has led to a large ongoing project to solve. This means that the models shown in this thesis cannot be completely reliable for the company to use when a lot of errors in their data have been found. The models may need to be adjusted when the quality of the data has increased. As of today the models can be used by having a glance upon.

Submitted by Regina Correa (rehecorrea@gmail.com) on 2016-09-19T19:48:16Z No. of bitstreams: 1 DissFHOC.pdf: 4797220 bytes, checksum: b0135398de121773d22185e9ed8dce59 (MD5) / Approved for entry into archive by Marina Freitas (marinapf@ufscar.br) on 2016-09-21T12:30:21Z (GMT) No. of bitstreams: 1 DissFHOC.pdf: 4797220 bytes, checksum: b0135398de121773d22185e9ed8dce59 (MD5) / Approved for entry into archive by Marina Freitas (marinapf@ufscar.br) on 2016-09-21T12:30:28Z (GMT) No. of bitstreams: 1 DissFHOC.pdf: 4797220 bytes, checksum: b0135398de121773d22185e9ed8dce59 (MD5) / Made available in DSpace on 2016-09-21T12:30:36Z (GMT). No. of bitstreams: 1 DissFHOC.pdf: 4797220 bytes, checksum: b0135398de121773d22185e9ed8dce59 (MD5) Previous issue date: 2016-02-26 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / Nowadays supply chains have grown in size and complexity. In this environment, unforeseen events (ruptures) in the flow of goods, services or information can occur unexpectedly, having increasingly significant impacts on companies. Resilience is defined as the ability to prepare, adapt and react to ruptures, thus maintaining operations connected and having control over the structure and functions. Considering this, the activities carried out by inbound logistics may influence creating resilience in the supply chain, mainly by including the flow of materials and supplying the company, which are activities directly affected during the ruptures. However, little is known about how the inbound logistics contribute to creating resilience. Taking this into account, the aim of this study is to identify which resilience enablers there are and how inbound logistics use them to create supply chain resilience. A systematic literature review of resilience and inbound logistics, followed by content analysis defined what the activities of inbound logistics are, which resilience enablers there are in the supply chain and also defined how the activities make use of the enablers. In the next step of the research, a multiple case study of 2 Brazilian dairies was performed. Interviews were transcribed and content analysis was conducted using the QDA Miner software. Case-by-case and cross-case analyses were carried out, observing how different types of rupture can influence the enablers used. Thus, the resilience enablers present in cases were highlighted, and the activities that use them were defined, localized facilitators were, reacting speed, collaboration, communication, supply chain structure, flexibility, risk management, product innovation, contingency planning, redundancy, company's financial health, security technology, cross-functional groups, knowledge management, visibility and supplier quality. Knowledge about the relationship between them enables the companies studied to manage their resources more profitably and extend these practices to their suppliers. It should also be mentioned that the companies studied operate with low inventory levels, therefore other companies in the same situation can use the knowledge gained from this research to administer facilitators in order to recover from ruptures. / Nos dias atuais, as cadeias de suprimento têm crescido em tamanho e complexidade. Nesse ambiente, eventos inesperados (rupturas) no fluxo de bens, nos serviços ou nas informações podem ocorrer de forma repentina, tendo impactos cada vez mais significativos às empresas. A resiliência é definida como a capacidade de preparação, adaptação e reação a rupturas, mantendo assim as operações conectadas e o controle sobre a estrutura e as funções. Nesse sentido, as atividades realizadas pela logística inbound podem influenciar a geração de resiliência na cadeia de suprimentos, principalmente por englobarem o fluxo de materiais e o abastecimento da empresa, atividades diretamente afetadas durante as rupturas. Entretanto, pouco se sabe a respeito de como a logística inbound contribui com a geração de resiliência. Nesse sentido, o objetivo deste trabalho é identificar quais são os facilitadores à resiliência e como a Logística inbound utiliza-os para a criação de resiliência na cadeia de suprimentos. Uma revisão sistemática da literatura a respeito de resiliência e de logística inbound, seguida de uma análise de conteúdo, definiu as atividades da logística inbound, os facilitadores à resiliência na cadeia de suprimentos e as atividades que fazem uso dos facilitadores. Em uma etapa seguinte do trabalho, realizou-se, um estudo multicaso considerando dois laticínios brasileiros. Para isso, foram realizadas entrevistas que posteriormente foram transcritas e submetidas a uma análise de conteúdo com auxílio do software QDA miner e foram feitas análises caso a caso e intercasos, observando como os diferentes tipos de rupturas podem influenciar os facilitadores utilizados. Desse modo, os facilitadores à resiliência presentes nos casos foram destacados, bem como definiram-se as atividades que os utilizam, os facilitadores localizados foram agilidade de reação às rupturas, colaboração, comunicação, estrutura da cadeia de suprimentos, flexibilidade, gestão de riscos, inovação do produto, plano de contingência, redundância, saúde financeira da empresa, tecnologia de segurança, grupos interfuncionais, gestão do conhecimento, visibilidade e qualidade do fornecedor. O conhecimento de como as atividades da logística inbound utilizam os facilitadores, possibilita que as empresas estudadas gerenciem seus recursos de forma mais profícua e estendam essas práticas a seus fornecedores. Destaca-se ainda que as empresas estudadas operam com níveis de estoque baixos, portanto outras empresas com a mesma condição podem utilizar-se dos conhecimentos aqui desenvolvidos para administrar os facilitadores, de forma a se recuperar das rupturas.

El problema consiste en una ineficiente gestión de abastecimiento, que se refleja en el indicador de entrega de pedidos a tiempo. Generando retrasos de los pedidos de hasta siete días, en una SME metalmecánica que trabaja por orden pedido. Ante dicha problemática, se formula un modelo de gestión de abastecimiento e inventario que incluye la implementación de SLP Layout, BPMN, gestión de inventarios, diagnosticado a través de la metodología SCOR. En este modelo se realiza un primer diagnóstico de la situación actual a través del cuestionario SCOR debido a su practicidad y flexibilidad para realizar el análisis en diversas empresas. Se incluye la implementación de SLP Layout, destinando una adecuada distribución de espacios para los recursos almacenados en el inventario. Además, se incluye el Business Process Model and Notation permitiendo centrar la investigación en flujos de control y distinguir las actividades del personal. Así mismo, el BPA y la matriz kraljick aportan creando una base para la clasificación de los insumos e identificación de la frecuencia de uso de cada uno de estos, lo cual posteriormente servirá en la gestión de inventarios. La efectividad de la propuesta se midió mediante la implementación de un proyecto piloto en una empresa manufacturera, donde el indicador de entregas a tiempo se incrementó en un 41.40% y el nivel de servicio de parte del almacén a producción se mejoró en 51.59% aproximadamente. / The problem consists of inefficient supply management, which is reflected on the on-time order delivery indicator. Generating order delays of up to seven days, in a metalworking SME that works by order. Faced by this problem, a supply and inventory management model is formulated that includes the implementation of SLP Layout, BPMN, inventory management, diagnosed through the SCOR methodology. In this model, a first diagnosis of the current situation is made through the SCOR questionnaire due to its practicality and flexibility to perform the analysis in diversed companies. The implementation of SLP Layout is included, allocating an adequate distribution of spaces for the resources stored in the inventory. In addition, the Business Process Model and Notation is included allowing to focus the investigation on control flows and distinguish the activities of the personnel. Likewise, the BPA and the kraljick matrix contribute by creating a basis for the classification of inputs and identification of the frequency of use of each of these, which will later serve in inventory management. The effectiveness of the proposal was measured through the implementation of a pilot project in a manufacturing company, where the indicator of on-time deliveries increased by 41.40% and the service level from the warehouse to production was improved by approximately 51.59% / Tesis

El presente proyecto, tiene como objetivo generar una propuesta de mejora del proceso de logística de entrada bajo las buenas prácticas del modelo SCOR para una consultora de tecnología en Lima con la finalidad optimizar la elaboración de información estratégica generada por este proceso. Como parte de esta propuesta, se desarrollará un Data Mart que permitirá agilizar la obtención de estos datos. La logística de entrada, compuesta por la gestión de compras e inventario, genera información estratégica que es relevante y solicitada por áreas del negocio como comercial, proyectos y gerencia general. Hoy en día este proceso se ve afectado por los altos tiempos y la mala planificación del área para realizar sus actividades de registro y control de información lo que impide que posteriormente se pueda consultar de manera rápida e integra. Esto finalmente afecta que se pueda realizar una toma de decisiones en certidumbre. La aplicación de las buenas prácticas del modelo SCOR al proceso logístico, demostraron que se puede disminuir el porcentaje actual de tiempo de registro de información en un 35%. También mediante la aplicación del Data Mart, los porcentajes de gastos operativos y tiempos para elaborar información estratégica se reducen en un 97% y 96% respectivamente. De esta manera la propuesta demuestra su efectividad permitiendo optimizar la elaboración de información estratégica del área para así poder tomar mejores decisiones en beneficio del negocio. / The object of this project is to generate a proposal to improve the inbound logistics process under the best practices of the SCOR model for a technology consultancy in Lima in order to optimize the development of strategic information generated by this process. As part of this proposal, a Data Mart will be developed to expedite the collection of this data. Inbound logistics is made up of purchasing and inventory management. This process generates strategic information that is relevant to business areas such as commercial, projects and general management. Today this process is affected by high times and poor planning of the area to carry out its activities of registration and control of information, which generates that later it can’t be consulted quickly and integrated. This directly affects decision-making. The application of SCOR model good practices to the logistics process, showed that the current percentage of time for entering information can be reduced by 35%. Also, through the implementation of the Data Mart, the percentages of operating costs and times to generate strategic information are reduced by 97% and 96% respectively. In this way the proposal demonstrates its effectiveness allowing to optimize the elaboration of strategic information of the area in order to be able to take better decisions in benefit of the business. / Tesis

Purpose of the thesis This study aims to propose an AI maturity model in order to be able to evaluate to whatextent large-scale manufacturing companies utilize AI in their inbound logistical operationsand also to reveal the challenges related to the implementation of AI.  Methodology This study employs a qualitative research method with the use of a survey conducted on 10companies within 5 industries. Additionally, semi-structured interviews were employed attwo out of these 10 companies. Theoretical framework The theoretical framework provides a deeper theoretical understanding of inbound logisticsoperations, AI implementations and their suggested operationalization in inbound logisticsoperations at large-scale manufacturers. Further, it also provides theory of the challengesassociated with implementing AI in inbound logistics operations. Empirical data The empirical section illustrates the data that were collected through survey and interviewstudy. First, data is presented based on the respondents' various industries that are grouped.Within each grouped industry, data is structured according to the various RQ’s and proposedframeworks, meaning that data will be related to the different levels of AI implementation,maturity levels as well as challenges. Analysis and discussion In this section, the industries are analysed and discussed with the help of the theoreticalframework and collected empirical data. This was first established with an individual analysisof industries where one research question is covered at a time. After this is done, across-analysis is carried out on the involved industries in relation to the research questions. Conclusion This chapter gives a concluding discussion and presents theoretical and practicalcontributions. The main results of the three research questions are highlighted. Finally, further research opportunities and limitations are discussed.