http://hdl.handle.net/1721.1/7797 http://hdl.handle.net/1721.1/49798 Privatization of highway public corporations in Japan Ishimaru, Koji, 1970- Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2002. Includes bibliographical references (p. 151-155). http://hdl.handle.net/1721.1/49797 Network knowledge and route choice Ramming, Michael Scott Models of urban traveler route choice are reviewed in the context of Intelligent Transportation Systems, particularly Advanced Traveler Information S ystems. Existing models suffer from assumptions of perfect information about travel conditions a nd infinite information processing capabilities of drivers. We present evidence that a majority of travelers fail to minimize travel time or distance. We also show that travelers with more network knowledge appear to vary their commute route to respond to changing travel conditions. Coefficient estimates of a model of network knowledge, based on the geographical idea of spatial ability, are presented. To better understand habitual route choice behavior, we examine many possible route generation algorithms. A simulation approach is preferred because it allows for heterogeneity in driver perceptions and it has a quick computational time. Alternative route choice model specifications such as Multinomial Logit, C-Logit, Path Size Logit, Cross-Nested Logit and Logit Kernel Probit are evaluated. The exponential specification of the Path S ize term, using a large parameter value, offers a considerable improvement in fit over MNL, C -Logit and CNL. A hybrid Path Size Logit and Logit Kernel Probit model offers the best overall fit; however, the stability of these estimates requires further examination. The hybrid Path S ize Logit and CNL model provides the next best empirical fit. Random coefficient specifications of MNL, PS L and LK Probit models were also examined. Significant random coefficient parameter estimates were only obtained for the MNL model. This result suggests that random coefficients capture variation in route choice models that would be more effectively explained by a Path S ize or LK Probit specification. Model fit can be further improved by adding an Implicit Availability/Perception term that includes estimated network knowledge. However, this term provides limited explanatory power, as can be seen by its standard errors and by forecasts that are relatively insensitive to changes in traveler knowledge. These results suggest that continued development of better attitudinal surveys to assess network knowledge and wayfinding strategies would allow estimation of route choice models with better explanatory power. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2002. Includes bibliographical references (p. 225-236). http://hdl.handle.net/1721.1/49794 Inter-company collaboration within a large lean supply chain initiative Mentzer, Maria Ritums Cisco and its four contract manufacturing partners are collaborating to implement a lean replenishment methodology across their supply chain. The new system is expected to result in minimized inventory exposure, increased supply chain flexibility, and improved speed to customer. Implementation of such a large standardized initiative requires close collaboration within and between multiple companies which makes it even more complex. Understanding the current state of collaboration within such a large initiative will enable improvements for future inter-company initiatives. This work analyses how Cisco and Flextronics collaborate within this large joint initiative. The analysis utilizes a combination of process mapping and known frameworks for organizational and cross company collaboration analysis. In addition, a dynamic supply chain simulation addressing a particular concern within the initiative is provided. Based on this characterization recommendations for how Cisco and Flextronics can improve collaboration for future joint initiatives are made. Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2009. Includes bibliographical references (p. 94-95). http://hdl.handle.net/1721.1/49793 Evolving a global armaments logistics strategy Peck, Nathan (Nathan W.) Few companies globally source and manage commercial transportation for frequent and high volumes of explosive cargo for the U. S. Department of Defense. U.S. regulations are strict and economically competitive options are limited. The challenge is even more problematic when the company has not developed an internal capability to efficiently manage logistics transportation. Companies view logistics and supply chain management as crucial to their overall success, though most do not claim it as a core competency. Instead, companies often outsource logistics operations and management to 3rd Party Logistics and other transportation solution providers. This paper explores how a company dealing with frequent shipments of explosive, Department of Defense cargo need not fully outsource logistics operations and management. Rather this paper shows how a company can quickly and cost-effectively improve their internal logistics capability while utilizing the benefits of logistics outsourcing. It is imperative that a company evolving its logistics capability maintain flexibility yet realize the advances in the transportation outsourcing industry. This research is distinctive in that it provides a case study of an organization that utilizes global partners supplying the U.S. Government in substantial volumes and must operate within the confines of hazardous goods regulations and archaic United States Department of Defense shipping regulations. Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2009. Includes bibliographical references (p. 55-56).