Now showing items 136-155 of 185

    • Palm oil traceability : blockchain meets supply chain 

      Hirbli, Toufic (Massachusetts Institute of Technology, 2018)
      There is a current lack of visibility in the transfer of goods from farmers to oil mills, to manufacturers, to retail outlets and finally to the consumer in the palm oil industry. While leading brands have pledged to commit ...
    • Parameters driving consumer demand in Brazil 

      Rajendran, Krishna (Massachusetts Institute of Technology, 2016)
      What are the key store related parameters that drive sales for large retail chains? This question has become increasingly important to Lojas Americanas, the sponsor company. In the last few years, the company has expanded ...
    • Pattern Recognition in Consumer Packaged Goods Data 

      Aboutaleb, Hanin (Massachusetts Institute of Techology, 2018)
      The speed at which a manufacturing company analyzes big data and reacts to the market trends can be key to its success. In consumer packaged goods (CPG) companies, a delay in analyzing the huge amounts of data produced ...
    • Planning for a "sudden-death" inventory loss triggered by international tax competition 

      Zamcheck, Abraham Moses (Massachusetts Institute of Technology, 2016)
      This study addresses a medical device company's need to relicense its products for export after declaring a new legal manufacturer. New license applications are approved at an unknown date with increasing probability within ...
    • Planning for Peak Demand in Reverse Logistics 

      Thakur, Anshu; Teoh, Ian Martin (2018)
      The project sponsor is a reverse logistics company that provides Returnable Transport Items (RTIs) to large manufacturing companies, distributors and retailers. Its business model is characterized by a unique closed-loop ...
    • Predicting and Planning for the Future: North American Truckload Transportation 

      Sokoloff, David; Zhang, Gaohui (2020-07-21)
      The trucking industry is crucial to the United States economy. An overwhelming majority of goods transported across the US are moved in trucks. For most companies, truck transportation is a prominent component that impacts ...
    • Predicting Carrier Load Cancellation 

      Al-Habib, Ali; Favier Gonzalez, Nicolas (2018)
      Truckload cancellations by carriers are causing disruptions in the trucking industry operations. By extrapolating the findings from the 3PL’s data studied in this research to the whole trucking industry, it is estimated ...
    • Predicting on-time delivery in the trucking industry 

      Duarte Alcoba, Rafael; Ohlund, Kenneth W (Massachusetts Institute of Technology, 2017)
      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 ...
    • Predicting Shipping Time with Machine Learning 

      Jonquais, Antoine; Krempl, Florian (2019)
      With the globalization of trade, transit time reliability has become a critical point in the shipping industry as irregularities will lead to more delays further down the supply chain. Our sponsoring company, A.P. Møller ...
    • A Predictive Model for Transpacific Eastbound Ocean Freight Pricing 

      Huang, Yan (2020-08-06)
      The containerized ocean freight market has been very volatile due to overcapacity and several disruptive changes. As a global ocean freight forwarder, C.H. Robinson hopes to improve the predictability of the spot ocean ...
    • Prioritizing inbound transportation 

      Rassey, Richard Koury; Zheng, Yong (Massachusetts Institute of Technology, 2016)
      Retailers must coordinate inbound shipments from a large number of vendors. In order to manage capacity, retailers need to have a system to prioritize inbound loads with capacitated carriers. This practice creates a ...
    • Product promotion effectiveness : root causes of stock-outs 

      Nigam, Alankrita (Massachusetts Institute of Technology, 2016)
      The unpredictable demand pattern during promotions leads to lost sales incurred due to frequent stock-outs, affecting the revenue and the brand of both the manufacturer and the retailer. The research focuses on finding out ...
    • Quantifying and visualizing risk in the garment manufacturing supply chain 

      Braud, Jason Alexander, 1984-; Gong, Siqi (Massachusetts Institute of Technology, 2016)
      Supply chains are exposed to a variety of risks as they become more complex and geographically diverse. Disruptions due to these risks can be costly. Companies cannot hope to mitigate all of their supply chain risks. In ...
    • Quantifying the impact of digitalization on manufacturing supply chain management (SCM) in a power generation company 

      Gisbrecht, Paulina (Massachusetts Institute of Technology, 2018)
      Industrial digitalization concepts such as Industry 4.0 or Smart Manufacturing are currently of great interest in academia and among industrial players. These concepts are expected to boost companies' manufacturing supply ...
    • Raw material inventory strategy for make-to-order manufacturing 

      Chandra, Vikash, M. Eng. Massachusetts Institute of Technology; Tulley, Michael (Massachusetts Institute of Technology, 2016)
      What is the appropriate raw material inventory strategy for a make-to-order manufacturing company? As companies grow in size and the business environment changes over time, many companies adapt their operating policies to ...
    • Raw Material Minimum Order Quantity Optimization 

      Shenoy, Shilpa; Zhao, Ai (2019)
      The sponsoring company, wants to review their raw material ordering policy and production plan for one of their product segments. This product faces a high degree of volatility in demand and the company currently orders ...
    • Reducing Oil Well Downtime With A Machine Learning Recommender System 

      Madrid, Jesus; Min, Andrew (2020-07-24)
      The oil and gas industry plays an important role in the world’s Gross Domestic Product by providing energy resources to the world. With the price for oil commodities falling in recent years, oil and gas companies require ...
    • Reducing shipment variability through lean leveling 

      Botero Aristizabal, Melissa; Brenninkmeijer, Fabian (Massachusetts Institute of Technology, 2017)
      High volatility in order patterns leads to supply chain wide inefficiencies and high operational costs. This issue is particularly common in the consumer goods industry due to large numbers of SKUs under management and ...
    • Replenishment Policies for Retail Pharmacies in Emerging Markets 

      Chu, Kevin; Pizano, Juan (2019)
      Pharmaceuticals account for over hundreds of billions of dollars of the global annual healthcare expenditure. Inventory management is essential for the financial health of the retail pharmaceutical industry. The retail ...
    • Resource Optimization During Merger and Acquisitions Transactions 

      Ahmed, Bilal; Jung, Sae Pil (2020-07-24)
      Mergers and Acquisitions have become means of a quick transformation for companies while basic guidelines related to resource allocation during a transaction are not available. Therefore, this capstone project set out ...