Thesis (Ph. D.)--University of Texas at Austin, 2006. / Vita. Includes bibliographical references.

The main idea of this research to solve the problem of inventory management for the paper industry SPM PVT limited. The aim of this research was to find a methodology by which the inventory of raw material could be kept at minimum level by means of buffer stock level.The main objective then lies in finding the minimum level of buffer stock according to daily consumption of raw material, finding the Economic Order Quantity (EOQ) reorders point and how much order will be placed in a year to control the shortage of raw material.In this project, we discuss continuous review model (Deterministic EOQ models) that includes the probabilistic demand directly in the formulation. According to the formula, we see the reorder point and the order up to model. The problem was tackled mathematically as well as simulation modeling was used where mathematically tractable solution was not possible.The simulation modeling was done by Awesim software for developing the simulation network. This simulation network has the ability to predict the buffer stock level based on variable consumption of raw material and lead-time. The data collection for this simulation network is taken from the industrial engineering personnel and the departmental studies of the concerned factory. At the end, we find the optimum level of order quantity, reorder point and order days.

This thesis studies three problems related to inventory control. The first problem is motivated by the need to eliminate the bullwhip effect in a supply chain. An important source of this effect is the inventory control policy, which is originally designed to smooth production in response to demand variation along the supply chain arising from the customers. To address this issue, we propose an estimation method based on the control variate technique. A byproduct of this approach is a stabilizing inventory control policy. We evaluate the effectiveness of the proposed method using the models from the literature. Generally, the derivation of the inventory policies requires the knowledge of the specific demand distribution. Unfortunately, in several cases the demand is not observable in a direct way. The second problem is motivated by a practical application where only partial demand information is observable. Towards this end we derive estimators of the first two moments of the (daily) demand by means of the renewal theoretical concepts. We also propose a regression-based approximation to improve the quality of the estimators. A series of numerical studies are carried out to evaluate the accuracy and precision of the estimators and to investigate the impact of the estimation on the optimality of the inventory policies. The last part of this dissertation studies a periodic-review inventory system with regular and emergency orders. Emergency orders, characterized by shorter lead-time, higher ordering cost and higher setup cost, are placed when the inventory level becomes critically low. Based on our assumptions, we formulate a dynamic programming model and prove the optimality of state-dependent sS type polices for both emergency and regular orders. We also derive analytic properties of the optimal policies. We gain some managerial insights into the optimal policies and cost performance from numerical studies.

Thesis (Ph. D.)--University of Missouri-Columbia, 2001. / Typescript. Vita. Includes bibliographical references (leaves 199-201). Also available on the Internet.

Thesis (M.A.)--Kent State University, 2009-07-07. / Title from PDF t.p. (viewed Jan. 26, 2010). Advisor: Yossef Ben-Porath. Keywords: validity scales; validity indices; overreporting; feigning; invalid responding; scale score validity; protocol validity; MMPI-2-RF. Includes bibliographical references (p. 69-79)

Thesis (M.S. in Operations Research)--Naval Postgraduate School, March 2004. / Thesis advisor(s): R. Kevin Wood, Moshe Kress, Gerald G. Brown. Includes bibliographical references (p. 47-48). Also available online.

Includes bibliographical references (p. 65-69).

Thesis (Ph. D.)--University of Missouri-Columbia, 2001. / Typescript. Vita. Includes bibliographical references (leaves 199-201). Also available on the Internet.

Thesis (Ph. D.)--Ohio State University, 2001. / Includes bibliographical references (leaves 269-278). Available online via OhioLINK's ETD Center.

Thesis (M. Sc.)--University of Hong Kong, 1978.