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Optimal (s, S) policies for inventory systems with a maximum issue quantity restriction /Lai, Kam-keung. January 1995 (has links)
Thesis (Ph. D.)--University of Hong Kong, 1995. / Includes bibliographical references.
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Forecasting with smoothing techniques for inventory controlHo, Tim Yin, Timothy. January 1994 (has links)
Thesis (M.Phil.)--University of Hong Kong, 1994. / Also available in print.
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Optimal (s,S) policies for inventory systems with a maximum issue quantity restrictionLai, Kam-keung. January 1995 (has links)
Thesis (Ph.D.)--University of Hong Kong, 1995. / Includes bibliographical references. Also available in print.
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An empirical analysis of two stockout models /Walter, Clyde K. January 1971 (has links)
Thesis (Ph. D.)--Ohio State University, 1971. / Includes vita. Includes bibliographical references (leaves 216-227). Available online via OhioLINK's ETD Center.
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Inventory control practices in the machine manufacturing industryProodian, Azad Martin January 1953 (has links)
Thesis (M.B.A.)--Boston University
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Production planning and inventory control in job order manufacturingDworsky, Leo January 1962 (has links)
Thesis (M.B.A.)--Boston University
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A diffusion model for a two product inventory systemLing, Daymond January 1978 (has links)
This thesis presents the results of an investigation of a continuous-time two product inventory model in which the stock level of two divisible commodities is represented by a two dimensional diffusion process. Two classes of replenishment policies are considered. One is a two dimensional analog of the stationary one dimensional (s,S) policy; i.e., when either the inventory of product one declines to s₁ or when the inventory of product two declines to s₂, both stocks are instantaneously replenished, product one up to S₁, and product two up to S₂. This is referred to as the (s₁,s₂,S₁,S₂) policy. The inventory is then allowed to decline again and is replenished. These cycles continue indefinitely. There are costs associated with the replenishment of stock and maintaining a given inventory. The objective is to choose values for (s₁,s₂,S₁,S₂,) to minimize the long-run average cost of opirating such a system. The appropriate theory of diffusion processes is heuristically developed and then applied to evaluate this cost. In general, analytic solutions cannot be obtained., Classical numerical analysis methods are used to obtain the average costs for given (s₁,s₂,S₁,S₂) values and to select the best such values. One dimensional diffusion models are a special case of the present model and Puterman's [21] results are used to verify the results obtained. The other policy examined differs from the two dimensional (s₁,s₂,S₁,S₂) policy in that the lower levels, s₁ and s₂, of the stock levels are coupled in the form of an elliptic arc. Numerical solution of this policy can be obtained and comparisons of the two policies are made. / Business, Sauder School of / Operations and Logistics (OPLOG), Division of / Graduate
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Inventory management for independent demand items in EscomFunnell, Colin Mark 26 January 2015 (has links)
A dissertation submitted to the Faculty of Engineering,
University of the Witwatersrand, Johannesburg, Inpartial
fulfilment of the degree of Master of Science in Engineer
Johannesburg, 1987.
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Level of application and computerization of inventory control methods as applied in the Hong Kong manufacturing industries : research report.January 1983 (has links)
by Tang Man-kwong, Pau Wai-man. / Bibliograph: leaves 119-120 / Thesis (M.B.A.)--Chinese University of Hong Kong, 1983
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Inventory valuation : Difficulties in manufacturing companies; what & why?Friberg, Lina, Nilsson, Sofia, Wärnbring, Sofia January 2006 (has links)
Master Thesis, School of Management and Economics, Växjö University, Advanced Concepts in Logistics Management, FED370, Spring 2006 Authors: Lina Friberg, Sofia Nilsson and Sofia Wärnbring Tutor: Petra Andersson Examiner: Lars-Olof Rask Title: Inventory Valuation - difficulties; what & why? Background: It is important to value inventories accurately in order to meet shareholder needs and demands for financial information. For manufacturing companies, inventories usually represent approximately 20 to 60 percent of their assets; hence it affects companies’ profits. It is essential in which way assets are valued, however, it will be a waste of time if the record accuracy level is poor. Research Questions: Why do companies experience problems when valuing inventories? In order to answer this research question, the following question also has to be answered: What problems can be identified? Purpose: The purpose of this master thesis is to describe and explain difficulties when valuing inventories. Limitations: We are not considering work-in-process and finished goods inventories, only raw material inventory. Neither are we looking at the companies’ internal calculation system, as we believe this will not be relevant for raw material. Method: We chose a positivistic view since we were studying our problem from a process perspective. A case study approach was suitable for us as our thesis was written in the form of a project, and we combined our empirical and theoretical data through the deductive approach. Conclusions: The problem of inventory valuation does not exist in the pricing aspect. Most problems are connected to quantity. Especially the daily routines were found to be insufficient, thus creating inaccuracies between the physical quantity in inventory and the quantity displayed in the system. Company B, the larger company, was found not to have as many problems as the smaller Company A has. Continued research: We believe an overall picture regarding valuation is needed, including the work-in-process and the finished goods inventories. Moreover, deficiencies are often not just found in the processes, but also the humans involved, and how they are motivated to secure accuracy. In addition, an implementation of cycle counting could be interesting to investigate.
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