rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Exploiting structural similarities for solving inventory and replacement problems
  name:
    name part: Rijiravanich, Vanchai.
    role:
      role term: creator
  name:
    name part: Chastain, Melvin L.
    role:
      role term: degree committee member.
  name:
    name part: Curry, Guy L.
    role:
      role term: degree supervisor.
  name:
    name part: Deuermeyer, Bryan L.
    role:
      role term: degree committee member.
  name:
    name part: Etter, Wayne E.
    role:
      role term: degree committee member.
  name:
    name part: Hogg, Gary L.
    role:
      role term: degree committee member.
  name:
    name part: Texas A & M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  genre: Academic theses
  origin info:
    place:
      place term: xx
    date issued: 1982
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: ix, 112 leaves : illustrations ; 29 cm
  abstract: This dissertation is concerned with the study of the Markov process for two-product joint setup cost inventory problems with continuous review, instantaneous replenishment and compound Poisson demands for each product. The inventory position for each product at each successive demand epoch forms the transition states of the Markov chain. By the special structure of the Markov rate matrix (G) using (pi)G = 0 and (pi)1 = 1, steady state probabilities can be obtained and the average expected cost per unit time for the inventory system can be evaluated. By applying search techniques, optimal solutions for the independent and the dependent joint setup cost inventory models can be obtained. Curry's algorithm using the iterative-optimization solution technique is demonstrated as an efficient technique for the dependent joint setup cost inventory problem. Using this technique, a near optimal can-order policy is obtained. Further improvement over the approximate optimal solution using search techniques is insignificant. The Markov process model is also used to study machine replacement problems for a single machine under an observable sequence of random shocks with compound Poisson damage. Using the Markov process, an optimal replacement level is obtained through a one dimensional search technique. For two machine joint replacement problems using the Markov process model, a similar structural transition rate matrix to the transition rate matrix of the joint order inventory problem can be revealed. Because of the structural similarities of the problems, the same approach in modeling the system, determining the steady state probabilities and determining the optimal policy can be used to solve the two machine joint replacement problems with compound Poisson shocks.
  note: "Major subject: Industrial Engineering."
  note: Typescript (photocopy).
  note: Vita.
  note: Ph. D. in Philosophy Texas A & M University 1982
  note: Includes bibliographical references (leaves 108-111).
  subject:
    topic: Inventory control
  subject:
    topic: Search theory
  subject:
    topic: Industrial Engineering
  identifier: http://proxy.library.tamu.edu/login
  identifier: https://hdl.handle.net/1969.1/DISSERTATIONS-284645
  identifier: http://gateway.proquest.com/openurl
  related item:
    location:
      url: http://proxy.library.tamu.edu/login
  related item:
    location:
      url: https://hdl.handle.net/1969.1/DISSERTATIONS-284645
  related item:
    location:
      url: http://gateway.proquest.com/openurl
  record info:
    record content source: TXA
    record creation date: 830316
    record change date: 20220103135400.0
    record identifier: in00000276212
    language of cataloging:
      language term: eng