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035 _a.b10121894
099 9 _aAIT Thesis no. IE-88-24
100 1 _aThevalingam, Kuddythamby
245 1 0 _aBuffer stocks in MRP and related systems
260 _aBangkok :
_bAsian Institute of Technology,
_c1988
300 _a53, [27] p.
490 1 _aThesis ;
_vno. IE-88-24
500 _aA thesis summitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology
502 _aThesis (M.Eng.) - Asian Institute of Technology, 1988
520 _aThis study explores the methods available to protect Material Requirement s Planning (MRP ) or related systems when t here is uncertainty associated with the system. These are multi -stage production systems . The demand for the end item is stochastic and stationary. This leads to buffer stocks in the form of safety stock and safety lead time . A careful survey of recent literature in this area is made to highlight the computati0nally feasible and promising approaches available. One of the important development due to Lambrecht and Muckstadt concern a serial production system under periodic review . Their numerical evidence indicates that optimal inventory control policies, found by Markovian Decision Process (MOP) (with multi- dimensional state space) turns out to yield (S,s) policies for control of echelon inventories. The MDP gets infeasible for large lead times and/or several production stages. For that situation Lambrecht and Muckstadt have proposed a modification to Clark and Scarf approach based on regarding echelon stocks as sing l e stage inventories; wherein they have done away with the penalty function computation in Clark and Scarf method . Moreover t hey have explored the possibility of quantity co-ordination between stages, whose motivation comes from deterministic models. I n this study we examine for condition specified by Lambrecht and Muckstadt for deciding whether or not to employ quantity co- ordination. The numerical evidence in this study indicates that the basic modification of Cl ark and Scarf policy due to Lambrecht and Muckstadt gives close to optimal results, the condition
650 0 _aProduction control
700 1 _aAwate, Prakash G.,
_eChairperson
700 1 _aTabucanon, Mario T.,
_eExamination Committee
700 1 _aSaeed, Khalid,
_eExamination Committee
710 2 _aGerman Academic Exchange Service (DAAD), Federal Republic of West Germany,
_eScholarship Donor
810 2 _aAsian Institute of Technology.
_tThesis ;
_vno. IE-88-24
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B18748
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