TY  - BOOK
AU  - Thevalingam,Kuddythamby
AU  - Awate,Prakash G.
AU  - Tabucanon,Mario T.
AU  - Saeed,Khalid
ED  - German Academic Exchange Service (DAAD),  Federal Republic of West Germany, 
TI  - Buffer stocks in MRP and related systems
T2  - Thesis
PY  - 1988///
CY  - Bangkok
PB  - Asian Institute of Technology
KW  - Production control
N1  - A thesis summitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology; Thesis (M.Eng.) - Asian Institute of Technology, 1988
N2  - This 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
UR  - http://203.159.5.9/ait-thesis/detail.php?q=B18748
ER  -