Now showing items 130-149 of 185

    • Optimal Green Fleet Composition Using Machine Learning 

      Patil, Vrushali; Samaha, Elissar (2019)
      Due to the use of petroleum-based fuel, the transportation sector is one of the two principal contributors to greenhouse gas emissions and its contributions are expected to double by 2050. Freight sector contributes to ...
    • Optimal inventory model for managing demand-supply mismatches for perishables with stochastic supply 

      lyer Nurani, Vishwanathan Parameshwaran. (Massachusetts Institute of Technology, 2019)
      While festivals bring a reason to cheer for everyone, businesses dealing with a spike in demand for perishables may have to live with the misery of lost sales and/or expired items. In the case of the dairy industry that ...
    • Optimal Supply Chain Operating Strategies by Replenishment Stream 

      Gorman, Mary Kate Agnes (2018)
      In the world of consumer packaged goods (“CPGs”), not all demand is created equal. While Base Demand typically comprises anywhere from 50 – 80% of day-to-day volume, other demand profiles, or replenishment streams, make ...
    • Optimizing Fleet Utilization by Adjusting Customer Delivery Appointment Times 

      Copley, Colleen; Lu, Charles (2020-07-24)
      The supply of trucks and drivers is struggling to keep up with the increasing and volatile demand for ground transportation. As a result, for companies like Niagara Bottling LLC., supply chain managers are pressured to ...
    • Optimizing Product Group Segmentation 

      Budhiraj, Anushka; Du, Ye (2018)
      Piece picking is an integral operation in distribution centres (DCs). The partner company has it as the largest part cost item of DC operations. The current product slotting and assignment planning needs to be improved to ...
    • Optimizing Satellite Locations for a Multi-Echelon Last Mile Distribution Network to utilize Alternative Delivery Vehicles for Last Mile Delivery 

      Goyal, Abhinav (2020-08-06)
      The growing urban population over the past few years has created many challenges for last mile distribution, such as traffic congestion, pollution, and lack of parking space availability. With the advent of e-commerce ...
    • 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 ...