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The Ningbo Supply Chain Innovation Institute China (NSCIIC), Ningbo, China, is the only MicroMasters final exam center in that country. Six candidates from different parts of China took the comprehensive final exam on May 20th, 2017. Zheng Yuan works as a project manager in a well-known auto parts company in...
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El Instituto de Innovación en Cadenas de Suministro de Ningbo de China (NSCIIC) es el único centro de China en el que se puede hacer el examen final del programa MicroMasters. Seis estudiantes de diferentes regiones de China se presentaron al examen final completo el pasado 20 de mayo de...
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Susana Val has been appointed the new Director of Zaragoza Logistics Center (ZLC). She is also Principal Investigator for the Transport Research Group, Associate Research Professor at MIT-Zaragoza International Logistics Program, and Research Affiliate at the MIT Center for Transportation and Logistics (MIT CTL). Val obtained both PhD and MSc...
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La Dr. Susana Val ha sido nombrada directora del Zaragoza Logistics Center (ZLC). Además, es investigadora principal del Grupo de Investigación de Transporte, profesora asociada de investigación en el Programa de Logística Internacional de MIR-Zaragoza e investigadora afiliada en el Centro para el Transporte y la Logística del MIT. Val...
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The MIT SCx Supply Chain Bootcamp will take place at the MIT campus on August 22, 2017. An intensive, highly interactive executive education program, the Bootcamp builds on the learning experience of the SCx learner. Attendees will learn SCx concepts used by managers and executives, using tools and analytics that...
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El MIT SCx Supply Chain Bootcamp tendrá lugar el próximo 22 de agosto de 2017 en el campus del MIT. El Bootcamp, un programa de formación intensivo y sumamente interactivo para ejecutivos, se basa en la experiencia de aprendizaje de los estudiantes de SCx. Los asistentes aprenderán conceptos de SCx...
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The Malaysia Institute for Supply Chain Innovation (MISI) has scheduled its next series of SCPro™ Management Workshop for October and November 2017. The workshops will run over five non-consecutive days and cover supply chain concepts and demand planning, procurement, supply chain management, manufacturing and service operations, transportation and order fulfillment,...
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El Instituto para la Innovación de Cadenas de Suministro de Malasia (MISI) ha programado su próxima serie de Talleres de Gestión SCPro™ para octubre y noviembre de 2017. Los talleres se desarrollarán durante cinco días no consecutivos y abarcarán conceptos sobre la cadena de suministro, la planificación a demanda, procedimientos,...
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List of presentations cited in, lista de presentaciones citado en Supply Chain Frontiers #64 Back to Supply Chain Frontiers issue #64 | Regresar a Supply Chain Frontiers en Español #64 CTL Matthias Winkenbach "Classification of last-mile delivery models for e-commerce distribution – a global perspective”, M. Janjevic and M. Winkenbach,...
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A list of publications produced this quarter by the (Una lista de las publicaciones producidas en este trimestre por) MIT Global SCALE Network Back to Supply Chain Frontiers issue #64 | Regresar a Supply Chain Frontiers en Español #64 CTL Yossi Sheffi “A New Class of Education Makes the Grade,”...
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Supply chains are facing increasingly volatile environments. Traditional optimization solutions provide a baseline understanding for industry applications, but cost-efficient solutions require a more robust approach. In high-tech capital construction projects, the construction of facilities requires complex project schedules, forecast well in advance. These forecasts are used to hire contract workers...
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This research analyzed freight performance to determine the groupings of attributes that influence carrier performance. Binary logistic regression and hierarchical clustering were used to identify individual and groupings of freight attributes that impacted performance success in terms of on time delivery, on time pick up, and first tender acceptance rate....
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Supply chain visibility is critical for businesses to manage their operational risks. Availability of high quality and timely data regarding shipments is a precursor for supply chain visibility. This thesis analyses the errors that occur in shipment data for a freight forwarder. In this study, two types of errors are...
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Traditionally, production and transportation planning processes are managed separately in organizations. In such arrangements, order processing, load planning, and transportation scheduling are often done sequentially, which can be time consuming. Establishing a proactive steady flow of products between two nodes of a supply chain can bypass this order-plan-ship process. A...
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The oil and gas industry is characterized by unpredictable boom and busts cycles. Companies must manage capacity to be able to quickly meet increasing demand during boom cycles and survive when oil prices go down. During this time, companies resort to in-house sourcing (“Make”) or buying externally (“Buy”) from suppliers,...
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Due to the long lead times and complexity in drug development and approval processes, pharmaceutical companies use long range planning to plan their production for the next 10 years. Capacity planning is largely driven by the long-term demand and its forecast uncertainty. The impact of uncertainties at manufacturing level, such...
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The security alarms services market in the United States delivers hardware equipment and services to homeowners and businesses to help monitor and enhance personal property protection. Customer satisfaction via wait time reduction, first call resolution, and cost minimization are key drivers of success to players in this market. Most companies...
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Returnable Transport Items (RTI) are a critical component of domestic and international trade. The large variability in the geographic supply and demand of goods shipped using RTI impacts the items overall availability at different locations within a network. This research focuses on improving our partner firm’s RTI inventory supply in...
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In manufacturing companies, production strategies prioritize maximizing line efficiency which favors large lot sizes and few setups. On the other hand, logistics strategies prioritize minimizing inventory costs which favors smaller lot sizes and more setups. This thesis provides a new mixed integer linear model formulation that optimizes lot sizes such...
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Medical devices companies struggle to balance between inventory and service performance, as the products are non-interchangeable and inventory investment is expensive. To find the right level of inventory, we first used unsupervised clustering method to find demand pattern uncertainty for each product. Then, we developed a simulation-based approach to determine...
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Drug counterfeiting is one of the major issues in the pharmaceutical industry across the world. These products could cause damages from ineffective treatments to death of patients. In order to fight against counterfeit drugs, the US government introduced Drug Supply Chain Security Act (DSCSA) mandating that all prescription drugs should...
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Transportation cost is one of the major costs in supply chain. Companies need to optimize every aspect of the transportation process to reduce the total logistics cost. A key aspect is optimal mode selection to minimize the cost of every lane in a company’s transportation network. The traditional approach is...
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Supply chains in the pharmaceutical industry are growing increasingly more complex and expanding their geographic reach both in manufacturing production and to the end consumer, the patient. Physical development, manufacturing and distribution of these drugs, both of biologics and small molecules, is extremely technical in science and processes. Additionally, the...
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Many businesses struggle to optimize the flow of inventory and finished goods through existing plants and facilities. The integration of inventory costs, organizational processes, and changing business dynamics make it difficult to determine the optimal flow. This thesis examines the flow of raw materials and finished goods through the supply...
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On-time delivery is a key metric in the trucking segment of the transportation industry. If on-time delivery can be predicted, more effective resource allocation can be achieved. This research focuses on building a predictive analytics model, specifically logistic regression, given a historical dataset. The model, developed using six explanatory variables...