Supply Chain and Logistics Institute Seminar Series

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Now showing 1 - 9 of 9
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    Scalable On-demand Mobility Services
    ( 2018-11-14) Van Hentenryck, Pascal
    The convergence of several technology enablers, including ubiquitous connectivity, autonomous vehicles, and sophisticated analytics, provides unique opportunities to fundamentally transform mobility in the next decade. Ride-sourcing services have already modernized taxi services but they have also increased congestion and widened inequalities in accessibility. This talk looks at mobility from a logistics and supply chain angle and presents novel on-demand mobility services that have the potential to be scalable, and sustainable, handling both the first/last mile problem and congestion. Case studies will also be presented.
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    Operational and Tactical Analysis of Same-Day Delivery Distribution Systems
    ( 2018-10-24) Toriello, Alejandro
    E-retail is a highly competitive segment that constantly demands innovation and process improvement. One such innovation rapidly gaining traction is same-day delivery (SDD); large e-retailers like Amazon are quite active in SDD, and over half of all US retailers claim to offer some form of the service. This talk surveys some of our recent and ongoing work studying the distribution component of SDD systems, and includes both (1) operational questions faced by dispatchers, e.g. when should vehicles be dispatched and what orders should they deliver, as well as (2) tactical questions faced by managers, e.g. how late in the day should SDD be offered and how big should the delivery fleet be. The talk is based on join work with Alan Erera, Mathias Klapp (now at PUC Chile) and Alex Stroh.
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    Supply Chain Innovation Showcase
    ( 2018-09-26) Noble, Paul ; Ruff, Amari
    A special session where two early stage companies will talk individually about their unique characteristics/problems solved. Amari Ruff from Sudu will present "How startups are pushing the Future of Transportation" to discuss how technology is making its way into the transportation industry and changing the way large corporations do business. Paul Noble from Autit will present "The Intelligent Manufacturing Enterprise" where we will discuss the opportunities for frontier technologies (AI/ML) to enhance Legacy ERP platforms and how Autit is leading the way with data harmonization and predictive inventory for parts in manufacturing supply chains.
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    Smart GT - Achieving Smart Communities Development at Georgia Tech
    ( 2018-08-29) Lam, Debra
    Whether measured by expected market valuation, speed of technological change, or potential of data collection and analytics, smart cities development has become a vital area of growth for governments, the public and corporations a like. However, the development has not been as inclusive and more action needs to be undertaken to ensure that all communities can reap the benefits of smart development. This talk will explore what smart cities means for Georgia Tech, how GT is broaden the opportunities for smart communities, including the current and upcoming projects, and further plans to drive smart community thought leadership.
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    Routing in the Physical Internet: Framework, Algorithms and Research Perspectives
    ( 2018-04-06) Ballot, Eric
    The Physical Internet (PI) opens many more options to deliver goods to the end destination, thanks to interconnected services. To exploit such opportunities, routing algorithms must be developed at different levels to make the PI work. In this lecture, the levels will be defined and results obtained will be compared to traditional dedicated solutions. Two main point of views will be distinguished: the shipper (how to specify routing request) and the services provider (how to publish services and make agreements). The main PI principles will be presented as well as their impacts on algorithms, data requirements and performance. Initial results show the potential, but also uncover many research opportunities for services providers to develop new services and shippers to operate their supply chain with the PI.
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    The Design and Operation of On-Demand Distribution Systems
    ( 2018-04-04) Pazour, Jennifer
    Modern distribution systems need to fulfill a wide variety of requests quickly with little warning in small units to many dispersed locations at low costs. This is fundamentally different than yesterday’s demand, which aggregated at fixed (store) locations. Existing distribution solutions, which are often static and have long decision lead times, are too rigid for today’s customers. Resulting in today’s supply chains being optimized for yesterday’s customers. To close the gap between current supply chain operations and customer expectations, this research rethinks supply chain design. By accessing resources on-demand, rather than through ownership, on-demand distribution platforms enable elastic supply capacity that can be scaled up and down, as well as moved in response to changing requirements. Yet, capacity cannot be set. Instead it must be enticed from suppliers (who provide access to their resources). Current centralized approaches to platform design excel at meeting demand commitments, but limit supplier autonomy. Decentralized approaches provide supplier autonomy, but sacrifice systematic performance and are time consuming. This research proposes a new hierarchical approach, recasting the platform's role as one providing personalized recommendations (i.e., a menu of multiple requests) to suppliers. Supplier choice can increase participation (capacity) and resource utilization when request fulfillment is combined with suppliers' original planned tasks. Prioritizing a quick time to match and efficient systematic resource coordination, the platform first decides how multiple, simultaneous recommendations are made. Then, suppliers have autonomy to select requests (if any) from the personalized recommendations. To guide design questions, we create a bilevel optimization framework. These models are novel as they capture the interdependent outcomes of supplier selections. By harnessing the problem’s structure, we transform the computationally expensive mixed integer linear bilevel problem into a single level problem by proposing logical expressions. For a platform only partially able to estimate suppliers' utilities, we investigate how personalized recommendation sets can be used as a coordination mechanism able to balance desirable platform, suppliers, and demand request outcomes. As the number of choices increases, suppliers have a higher chance to be recommended a request they are willing to select. This benefits the platform, up to a point. However, due to misalignment between the suppliers and the platform’s utilities, a larger number of choices lead to suppliers selecting a request with lower platform benefit. Also, as the number of choices increases, less systematic coordination occurs, and the chance for rejected requests increases. We quantify the impact of our hierarchical approach compared to a centralized, decentralized, and stable-matching approaches for a variety of scenarios and provide insights in what influences the optimal number of choices based on a ride-sharing application.
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    Applications of Machine Learning in the Supply Chain
    ( 2018-02-15) Pokutta, Sebastian
    In this talk we will explore the possibilities of machine learning in supply chains and logistics. We will see that modern machine learning methods, often in a black box fashion, allow us to move from model-driven decision-making to data-driven decision-making. This results in high levels of flexibility and agility, which is of ever-increasing importance in fast-paced supply chain and logistics environments. We will lay out the foundation of this paradigm and look at specifics examples from the supply chain and logistics context.
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    Applications of IOT Technology in the Supply Chain
    ( 2018-01-24) Clark, Russell
    The commoditization of sensor packages along with ubiquitous wireless communications has combined to make the Internet of Things a reality. The supply chain and logistics fields are undergoing dramatic changes based from the introduction of these technologies. We will look at some examples and opportunities to leverage the widespread availability of fine-grained, real-time data. We will also discuss challenges that must be addressed as these technologies are adopted.
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    Recent Developments in Modeling City Logistics in Melbourne
    ( 2018-01-22) Thompson, Russell G.
    The seminar will introduce City Logistics and describe recent models developed for improving the sustainability of goods movement in Melbourne, including a collaborative freight system for suppliers distributing goods to retailers as well as a Central Business District (CBD) routing system for couriers. Distribution systems in metropolitan regions are typically characterized by suppliers operating their own vehicle fleets, distributing only their goods to their customers on a regular basis. In sectors where there are multiple suppliers servicing common customers, there is an opportunity to develop collaborative systems and combine distribution networks to reduce the distance traveled by delivery vehicles. This can result in substantial savings in transport operating costs as well as environmental costs.