Now showing items 21-40 of 63

    • Gaining an operational edge : piece-picking process optimization 

      Chen, Stephanie Hsuan-Chia; Han, Eunji (Massachusetts Institute of Technology, 2016)
      Order-picking is an integral operation in warehouses and distribution centers (DC), consuming considerable operating resources and expenses. Numerous studies have attempted to optimize the efficiency and reduce the cost ...
    • How to assess supplier flexibility? 

      Bi, Peng, M. Eng. Massachusetts Institute of Technology; Kurup, Remya Pushpangatha (Massachusetts Institute of Technology, 2016)
      The oil and gas industry is very volatile; it is characterized by unpredictable cycles of sharp rises and plunges in oil prices. This cyclical nature presents a huge challenge for companies that are operating in the industry. ...
    • Multi-echelon inventory modeling and supply redesign 

      Scott, Patrick (Patrick James); Xu, Boxi (Massachusetts Institute of Technology, 2017)
      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 ...
    • The value of monitoring in supply chains 

      Tiwari, Tarun (Tarun K.); Toteda, Anthony (Massachusetts Institute of Technology, 2017)
      Logistics providers process millions of packages daily and collect an incredible amount of data from these shipments. As new sensors are added to more and more packages, companies will now have increasingly fast access to ...
    • Capacity management and make-vs.-buy decisions/ 

      Nidhi, Akansha; Riad, Fady (Massachusetts Institute of Technology, 2017)
      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 ...
    • Capacity planning under demand and manufacturing uncertainty for biologics 

      Luo, Sifo (Massachusetts Institute of Technology, 2017)
      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 ...
    • Forecasting international movements of Returnable Transport Items 

      Jacobs, Patrick A. (Patrick Allen); Walia, Rajdeep Singh (Massachusetts Institute of Technology, 2017)
      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 ...
    • Innovative transportation solutions : Uber for Freight 

      Davis, Leah (Leah Simone); Lucido, Joseph (Massachusetts Institute of Technology, 2017)
      As part of standard business cycles, new technologies continue to emerge that disrupt industries and capture market share from stagnant incumbents. In the trucking industry, Uber for Freight (UFF) is one of these innovative ...
    • 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 ...
    • Manufacturing risk assessment and uncertainty analysis for early stage (Pre-phase III) pharmaceutical drug production 

      Chen, Emily, M. Eng. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2017)
      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 ...
    • 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 ...
    • A generalized framework for optimization with risk 

      Zipperer, Damaris R; Brown, Andrew N (Massachusetts Institute of Technology, 2017)
      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 ...
    • Analysis of inefficiencies in shipment data handling 

      Prasad, Rohini, S.M. Massachusetts Institute of Technology; Malaj, Gerta (Massachusetts Institute of Technology, 2017)
      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 ...
    • SKU stratification methods in the consumer products industry 

      Jiang, Jiaxin, M. Eng. Massachusetts Institute of Technology; Steverson, Andrew (Massachusetts Institute of Technology, 2017)
      For companies with a large number of Stock Keeping Units (SKUs), it is extremely challenging, if not impossible, to manage the SKUs individually. Therefore, companies stratify SKUs into different classes and manage them ...
    • Serialization of prescription drugs in the USA : a centralized view 

      Nabiyeva, Aisha; Wu, David Z. Y (Massachusetts Institute of Technology, 2017)
      This thesis explores the impact of the Drug Supply Chain Security Act (DSCSA) on various stakeholders in the pharmaceutical supply chain. Specific attention has been dedicated to the impact on manufacturers and ...
    • Intermodal variability and optimal mode selection 

      Huang, Tianshu, M. Eng. Massachusetts Institute of Technology; Serrano, María Bernarda (Massachusetts Institute of Technology, 2017)
      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 ...
    • How to integrate your production and logistics strategy : a new CLSP formulation for a CPG supply chain 

      Chua, Ian (Ian Hong Leong); Heyward, Thomas (Massachusetts Institute of Technology, 2017)
      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 ...
    • Impact of Drug Supply Chain Security Act on US pharmaceutical industry under decentralized information flow 

      Chang, Meng Ying, M. Eng. Massachusetts Institute of Technology./; Mohan, Raghavendran (Massachusetts Institute of Technology, 2017)
      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 ...
    • A study of freight performance and carrier strategy 

      Bleggi, Caroline C; Zhou, Frederick (Massachusetts Institute of Technology, 2017)
      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 ...
    • Enhancing the customer service experience in call centers using preemptive solutions and queuing theory 

      Chu, Qiao, M. Eng. Massachusetts Institute of Technology; Palvia, Nisha (Massachusetts Institute of Technology, 2017)
      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 ...