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Performance analysis and design of batch ordering policies in supply chains
Descriptive
TitleInfo
Title
Performance analysis and design of batch ordering policies in supply chains
Name
(type = personal)
NamePart
(type = family)
Karaman
NamePart
(type = given)
Abdullah Siddik
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Abdullah Karaman
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author
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Tayfur
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Advisory Committee
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Tayfur Altiok
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chair
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Boucher
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Thomas
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Advisory Committee
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Thomas O. Boucher
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internal member
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Chaovalitwongse
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Wanpracha
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Advisory Committee
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Wanpracha Chaovalitwongse
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internal member
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Melamed
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Benjamin
Affiliation
Advisory Committee
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Benjamin Melamed
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outside member
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NamePart
Rutgers University
Role
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degree grantor
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NamePart
Graduate School-New Brunswick
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school
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Text
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theses
OriginInfo
DateCreated
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2007
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(qualifier = exact);
(type = degree)
2007
Language
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English
PhysicalDescription
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electronic
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application/pdf
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text/xml
Extent
xiii, 139 pages
Abstract
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Devising manufacturing/distribution strategies for supply chains and determining their parameter values have been challenging problems. Linking production management to stock keeping processes improves the planning of the supply chain activities, including material management, culminating in improved customer service levels. In this thesis, we investigate a multi-echelon supply chain consisting of a supplier, a plant, a distribution center and a retailer. Material flow between stages is driven by reorder point/order quantity inventory control policies. We develop a model to analyze supply chain behavior using some key performance metrics such as the time averages of inventory and backorder levels, as well as customer service levels at each echelon. The model is validated via simulation, yielding good agreement of robust performance metrics.
The metrics are then used within an optimization framework to help design the supply chain by calculating optimal parameter values minimizing the expected total cost. Optimal design of the material flow system is part of the overall planning and operation of a supply chain. The outcome of the optimization framework specifies not only how much and where to hold inventory but also how to move inventory across the supply chain.
The developed model requires limited computational requirements, which in turn helps frequently update the performance measures and optimal system parameters so as to be more responsive to short-term changes in demand or supply. In addition, it can be used as a decision support system for effective decision making as opposed to using simplistic inventory models, which results in significantly higher operating costs.
In a similar vein, we consider a distribution inventory system with one warehouse and several retailers. The challenge in this system is to describe the demand arrival process at the warehouse. We propose a procedure to characterize the demand arrival process at the warehouse as a superposition of several independent Erlang processes. An important characteristic of the superposed process is that although the individual processes are independent from each other, the superposed process may be no longer independent. We present a methodology to characterize such arrival streams as Markovian processes. We, then, extend the methodology to phase-type arrival streams as well.
The metrics are then used within an optimization framework to help design the supply chain by calculating optimal parameter values minimizing the expected total cost. Optimal design of the material flow system is part of the overall planning and operation of a supply chain. The outcome of the optimization framework specifies not only how much and where to hold inventory but also how to move inventory across the supply chain.
The developed model requires limited computational requirements, which in turn helps frequently update the performance measures and optimal system parameters so as to be more responsive to short-term changes in demand or supply. In addition, it can be used as a decision support system for effective decision making as opposed to using simplistic inventory models, which results in significantly higher operating costs.
In a similar vein, we consider a distribution inventory system with one warehouse and several retailers. The challenge in this system is to describe the demand arrival process at the warehouse. We propose a procedure to characterize the demand arrival process at the warehouse as a superposition of several independent Erlang processes. An important characteristic of the superposed process is that although the individual processes are independent from each other, the superposed process may be no longer independent. We present a methodology to characterize such arrival streams as Markovian processes. We, then, extend the methodology to phase-type arrival streams as well.
Note
(type = degree)
Ph.D.
Note
(type = bibliography)
Includes bibliographical references (p. 132-138).
Subject
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Topic
Industrial and Systems Engineering
Subject
(authority = LCSH)
Topic
Economics
Subject
(authority = ETD-LCSH)
Topic
Supply and demand
Subject
(authority = ETD-LCSH)
Topic
Materials handling
Subject
(authority = ETD-LCSH)
Topic
Business logistics
Subject
(authority = ETD-LCSH)
Topic
Physical distribution of goods
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Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier
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rucore19991600001
Identifier
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http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.13475
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ETD_232
Identifier
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doi:10.7282/T3XG9RMW
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NjNbRU
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ETD doctoral
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The author owns the copyright to this work.
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Copyright protected
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Open
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Name
Abdullah Karaman
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Copyright holder
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Rutgers University. Graduate School-New Brunswick
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Non-exclusive ETD license
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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