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James B. Rice, Jr. Nath, Gaurav (Gaurav Sudhindra) Ramos, Brian Massachusetts Institute of Technology. Engineering Systems Division. Massachusetts Institute of Technology. Engineering Systems Division 2012-01-30T17:01:31Z 2012-01-30T17:01:31Z 2011 2011 http://hdl.handle.net/1721.1/68896 773584162 Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2011. Cataloged from PDF version of thesis. Includes bibliographical references (p. 29-30). U.S. petrochemical manufacturers operate in a very challenging environment on account of the recent economic crisis, volatility in crude oil prices, rising capacity in the Middle East, etc. Recently, there has been a focus on logistics costs and, in particular, capacity utilization as a means to retain a competitive edge. This thesis focuses on marine dock optimization for a major bulk chemicals manufacturer. The authors have surveyed the research literature to find commonalities in various approaches to the problem of dock optimization- in the petrochemical shipping industry as well as in allied operational environments such as container shipping. They discuss the inputs that would be needed to build a decision-support-system designed for the express purpose of measuring dock utilization. Following a review of the industry context and relevant literature, the authors develop a demonstrative framework that captures the key variables and constraints affecting loading and unloading operations. The authors speculate that multiple simulation and optimization techniques could sufficiently address the quantification of operational uncertainties at the marine dock. However, emphasis is placed upon the need for thorough data gathering and correct prioritization of variables and constraints affecting efficiency of dock operations. by Gaurav Nath and Brian Ramos. M.Eng. in Logistics 46 p. eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Engineering Systems Division. Marine dock optimization for a bulk chemicals manufacturing facility Marine dock optimization for bulk liquid chemicals Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="b69c990e-866c-47fc-89cc-4d377d7f21be"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Marine dock optimization for a bulk chemicals manufacturing facility</Title> <Subtitle>Marine dock optimization for bulk liquid chemicals</Subtitle> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2011</PublicationDate> <Authors> <Author> <DisplayName>Nath, Gaurav (Gaurav Sudhindra)</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Ramos, Brian</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Engineering Systems Division.</Keyword> <Abstract>U.S. petrochemical manufacturers operate in a very challenging environment on account of the recent economic crisis, volatility in crude oil prices, rising capacity in the Middle East, etc. Recently, there has been a focus on logistics costs and, in particular, capacity utilization as a means to retain a competitive edge. This thesis focuses on marine dock optimization for a major bulk chemicals manufacturer. The authors have surveyed the research literature to find commonalities in various approaches to the problem of dock optimization- in the petrochemical shipping industry as well as in allied operational environments such as container shipping. They discuss the inputs that would be needed to build a decision-support-system designed for the express purpose of measuring dock utilization. Following a review of the industry context and relevant literature, the authors develop a demonstrative framework that captures the key variables and constraints affecting loading and unloading operations. The authors speculate that multiple simulation and optimization techniques could sufficiently address the quantification of operational uncertainties at the marine dock. However, emphasis is placed upon the need for thorough data gathering and correct prioritization of variables and constraints affecting efficiency of dock operations.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>