San Francisco, California, United States
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For those that have worked with leaders in the military, there are people who when you first meet them, you just know they are destined for great…
For those that have worked with leaders in the military, there are people who when you first meet them, you just know they are destined for great…
Liked by John Khawam, Ph.D.
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This morning 3(+1) doctoral students and I presented our latest research on Retail Analytics at the European Conference on Operational Research 2024…
This morning 3(+1) doctoral students and I presented our latest research on Retail Analytics at the European Conference on Operational Research 2024…
Liked by John Khawam, Ph.D.
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What an exciting week attending the European Operations Management Association (EurOMA) conference with Matthias Winkenbach! In our presentation, we…
What an exciting week attending the European Operations Management Association (EurOMA) conference with Matthias Winkenbach! In our presentation, we…
Liked by John Khawam, Ph.D.
Experience & Education
Publications
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Buyer and Nonprofit Levers to Improve Supplier Environmental Performance
Production and Operations Management
Material IQ (MiQ) is a new decision tool designed by GreenBlue to help suppliers safely share sensitive chemical-toxicity data with their customers. As GreenBlue takes MiQ to market, it must determine under what market conditions to promote the use of MiQ and when to recommend that a buyer uses its implementation as an opportunity to work with an existing supplier. We study GreenBlue's problem in two parts. First, we investigate when a buyer can use a wholesale price premium and/or…
Material IQ (MiQ) is a new decision tool designed by GreenBlue to help suppliers safely share sensitive chemical-toxicity data with their customers. As GreenBlue takes MiQ to market, it must determine under what market conditions to promote the use of MiQ and when to recommend that a buyer uses its implementation as an opportunity to work with an existing supplier. We study GreenBlue's problem in two parts. First, we investigate when a buyer can use a wholesale price premium and/or buyer–supplier cost sharing to improve a supplier's environmental performance. Based on our findings, we then develop insights into GreenBlue's strategy. We model both a single-supplier and a supplier-competition setting. We find that in the single-supplier setting, if the buyer's optimal strategy is to offer the supplier a premium, then he also fully subsidizes her investment cost to build quality. By developing the supplier's capabilities, the buyer can increase the impact of the premium he offers. In the supplier-competition setting, although cost sharing is less effective as a lever, cases can occur in which the buyer chooses to share costs and prevent the incumbent supplier from having to compete. From GreenBlue's perspective, promoting the use of MiQ and cost sharing are often viable strategies when there exists a one-to-one relationship between a buyer and a supplier. However, GreenBlue's strategy becomes more restricted when competition exists between suppliers. Only when the relative market awareness of quality is high and there is a dominant party in the supply chain should GreenBlue recommend the use of MiQ.
Other authorsSee publication -
Complexity and Self-Sustainment in Disaster Response Supply Chains
Decision Sciences
Governmental organizations play a major role in disaster relief operations. Supply chains set up to respond to disasters differ dramatically in many dimensions that affect the cost of relief efforts. One factor that has been described recently is self-sustainment, which occurs when supplies consumed by intermediate stages of a supply chain must be provided via the chain itself because they are not locally available. This article applies the concept of self-sustainment to response supply chains.…
Governmental organizations play a major role in disaster relief operations. Supply chains set up to respond to disasters differ dramatically in many dimensions that affect the cost of relief efforts. One factor that has been described recently is self-sustainment, which occurs when supplies consumed by intermediate stages of a supply chain must be provided via the chain itself because they are not locally available. This article applies the concept of self-sustainment to response supply chains. A mathematical model of a self-sustaining response supply chain is developed. Analysis of this model yields insights about the relationships and interactions among self-sustainment, speed of disaster onset, dispersion of impact, and the cost of the relief efforts.
Other authorsSee publication -
Warranty Inventory Optimization for Hitachi Global Storage Technologies, Inc.
Interfaces
Warranty inventory management is a challenge that many companies must confront. Customers return allegedly defective units to a company for replacement or credit. The company can then economically recover the unit through either a testing or remanufacturing process; it can use recovered units to fulfill future warranty requests. The company also has the option of purchasing a new product from the production line. In high-volume situations, warranty inventory management involves many…
Warranty inventory management is a challenge that many companies must confront. Customers return allegedly defective units to a company for replacement or credit. The company can then economically recover the unit through either a testing or remanufacturing process; it can use recovered units to fulfill future warranty requests. The company also has the option of purchasing a new product from the production line. In high-volume situations, warranty inventory management involves many complexities such as stochastic demand rates, probabilistic requests for credit instead of replacement, probabilistic repairs, multiple sources of supply, and tight customer-service constraints. Companies may also have to consider the complexities that a batch remanufacturing process causes.
In this paper, we formulate several related models of such warranty inventory systems. In these models, we study a periodic, single-location, inventory system that is dedicated to warranty returns. We find near-optimal policies for each system using well-developed heuristics. The models include the following complexities: random warranty claims, random requests for replacement or credit, three sources of supply (testing, remanufacturing, and new product), random flows of returned products into testing and remanufacturing, random yields from testing and remanufacturing, different lead times for each resupply process, remanufacturing lead time variability, and random batching of remanufacturing. The results of the models provide near-optimal inventory-control policies in this complex environment and demonstrate the payoffs that result from reducing production lead times and batching in remanufacturing.Other authorsSee publication
Patents
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ROUTING AUTONOMOUS VEHICLES BASED ON LANE-LEVEL PERFORMANCE
Issued US 16/877,978
A map database stores data describing a set of connected roadways, each having one or more lanes. A navigation system selects a route for an autonomous vehicle (AV) by identifying a set of candidate lanes for routing the AV in the map database and retrieving at least one parameter of each candidate lane from the map database. The navigation system determines a performance metric for each of the candidate lanes, the performance metric for a given candidate lane based on the retrieved at least…
A map database stores data describing a set of connected roadways, each having one or more lanes. A navigation system selects a route for an autonomous vehicle (AV) by identifying a set of candidate lanes for routing the AV in the map database and retrieving at least one parameter of each candidate lane from the map database. The navigation system determines a performance metric for each of the candidate lanes, the performance metric for a given candidate lane based on the retrieved at least one parameter of the given candidate lane. The navigation system selects a candidate lane for routing the AV based at least in part on the determined performance metrics.
Languages
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Arabic
Native or bilingual proficiency
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German
Limited working proficiency
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English
Native or bilingual proficiency
More activity by John
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Another month, another Data Center! Once again, I have the great honor to share that we’ve broken ground on a new data center site — this time in…
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Two weeks ago, I graduated from the Stanford University Graduate School of Business. Today, I’m pumped to join Anthony Rangel in starting float to…
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For a big chunk of my career, I felt like I started my days BEHIND. My morning routine consisted of an immediate review of emails, a quick cup of…
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Thank you, Fabian J. Sting and everyone for joining us. Big thanks to our speakers Narges Mohammadi Anna Sáez de Tejada Cuenca Tong Wang Clara…
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My deepest thanks to the University of Virginia Darden School of Business and my host Doug Thomas for a wonderful Spring semester in Virginia. I am…
My deepest thanks to the University of Virginia Darden School of Business and my host Doug Thomas for a wonderful Spring semester in Virginia. I am…
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I had the incredible honor of meeting Vice President Kamala Harris and Secretary Pete Buttigieg today! Madam Vice President delivered a truly moving…
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Congratulations to Oliver Höllriegl on successfully defending his dissertation "Post-Purchase Behavior Analysis for Customer Centricity." Oliver's…
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Stepped out of my comfort zone today and had an amazing experience meeting with congressional staff and the American Academy of Dermatology in DC on…
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Here we go, updating a resume that hasn't been touched in 5 years! Time to bring it into the modern age. Lat Long Labs didn't make it into YC, but…
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Hey all! I’m recruiting for three roles on my team - two Data Scientist roles and one Analytics Engineering one. Details below! If interested…
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Amazing three days at the #genaisummitsf2024 are wrapping up. Lots of insightful conversations with AI enthusiasts, early adopters, and companies…
Amazing three days at the #genaisummitsf2024 are wrapping up. Lots of insightful conversations with AI enthusiasts, early adopters, and companies…
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Congratulations M.Eng. Class of 2024! Chasing a dream requires hard work, passion, and many sacrifices. You have gone above and beyond throughout…
Congratulations M.Eng. Class of 2024! Chasing a dream requires hard work, passion, and many sacrifices. You have gone above and beyond throughout…
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This is the cutest INFORMS swag I’ve ever seen! Thank you INFORMS leadership team for the very early welcome for our newborn!
This is the cutest INFORMS swag I’ve ever seen! Thank you INFORMS leadership team for the very early welcome for our newborn!
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