Inventory control problems constitute one of the most important research problems due to their connection with real life applications. Naturally, real life is full of uncertainty so are the most of the inventory problems. Unfortunately, it is a very challenging task to manage inventories effectively especially under uncertainty. This dissertation mainly deals with single-item, periodic review, and stochastic dynamic inventory control problems particularly on replenishment cycle control rule known as the (R, S) policy. Contribution of this thesis is multiold. In each chapter a particular research question is investigated. At the end of the day, we will be showing that non-stationary (R, S) policies are indispensable not only for its cost efficiency but its effectiveness and practicality. More specifically, the non-stationary (R, S) policy provides a convenient, efficient, effective, and modular solution for non-stationary stochastic inventory control problems.

Procuring hardwood pulpwood during the winter months for a pulp mill in the Southeast can be difficult. Saturated soils and low soil strength make logging difficult or impossible on many sites, forcing companies to store large volumes of hardwood pulpwood in woodyards for retrieval during wet weather. Hardwood fiber readily available in large volumes on ground that is operable during wet periods at a location near the pulp mill could provide a valuable alternative wood source. Thus, the objectives of this study are to 1) develop a decision model for a manager to use to determine the feasibility of strategically located, intensively-managed, short-rotation hardwood fiber farms as pulp mill furnish, 2) use the model to estimate wood costs for a hypothetical eastern cottonwood plantation, and 3) use the model to determine if a fiber farm grown on drier, upland sites ("green" inventory) could be used to reduce woodyard winter inventories and economically supply a nearby pulp mill during a wood shortage, thus reducing high cost, emergency "spot market" wood purchases. The decision model is incorporated in a spreadsheet and includes all the costs typical for a fiber farm. The model is tested using current establishment and management costs from the literature and yields from an experimental fiber farm in the southeast. Under current yields, delivered costs from the fiber farm averages $71/ton. With potential increased yields that could occur with genetic improvements and operational optimizations, delivered cost for fiber farm wood could be reduced to $56/ton. In comparison, the highest cost wood purchased by the three cooperating pulp mills during the study period was $50.23/ton. The net present values of a fiber farm as "green" inventory were determined using actual wood cost and inventory levels from three cooperating southeastern pulp mills. For the "green" inventory analysis, all three pulp mills would have lowered their overall wood cost using a fiber farm (with higher yield) as "green" inventory, primarily by reducing the amount of wood required as dry inventory on woodyards. Savings accrued during "dry" years offset the higher cost of hardwood plantation deliveries. A sensitivity analysis was performed to determine the optimal size fiber farm for one of the cooperating pulp mills and indicated that 800 acres would be the most beneficial. / Ph. D.

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<p> In this thesis we study three problems of joint pricing and inventory in a retail setting.</p> <p> The first problem deals with pricing and ordering for a retailer facing uncertain supply as well as price-sensitive uncertain demand. We first formulate the problem as two cases of pricing: a simultaneous pricing strategy where the price and the order quantity are simultaneously determined and a postponed pricing strategy where the price and the order quantity are sequentially determined. We provide a solution procedure to find the optimal price and order quantity that maximizes the retailer's profit. By conducting sensitivity analysis, we find that if the supplier is very unreliable, then the retailer is better off postponing the pricing decision in order to maximize profit. Reducing supply variability does not have the same impact on retailer's profit as much as increasing the expected supply amount. Most importantly we find that the difference between the expected profits in the two cases is not due to higher expected revenue, but due to lower expected salvage and shortage losses when the pricing decision is postponed.</p> <p> Next, we study a price setting retailer selling two substitutable goods to consumers. The retailer must decide on the optimal price and inventory that maximize the expected profit. Aside from making these decisions under demand uncertainty, the retailer must also account for the substitution that occurs upon stock out of one of the two products. Furthermore, we also take into account the related cannibalization of the available stock due to customers substituting. We formulate the problem and find the optimal prices analytically as well as conduct sensitivity analysis. We compare our findings to a model that does not consider substitution and the resultant cannibalization of inventory and find that the model that does not consider substitution tends to overestimate the expected profit for low degrees of substitution and tends to underestimate the expected profit for high degrees of substitution. Furthermore, the prices charged and the inventory held at the retailer for each product, tend to be suboptimal. The total quantity stocked in general, for both products, is lower when we account for substitution and cannibalization.</p> <p> Lastly, we study the problem of finding optimal order quantities and prices for the bundle (a collection of two or more goods sold jointly at one price) and individual items as well as how a supplier can use bundles to achieve coordination with its retailer. In a decentralized supply chain, we show that bundling is not always a feasible or a very profitable strategy. This is especially true if the products or the bundle are discounted beyond a certain point, because it may make the supplier worse off while making the retailer better off. This reduces the effectiveness of the bundling strategy in a supply chain setting. We find that the supplier, retailer and the supply chain can simultaneously improve their profits by offering bundled goods to the consumers and achieve performance of a coordinated supply chain when the supplier charges the retailer a bundling fee upfront and in exchange offering a bundling discount to the retailer.</p> <p> In the last chapter, we summarize our findings as well as provide direction for future research.</p> / Thesis / Doctor of Philosophy (PhD)

<p> It is proposed to design, develop and implement a data base system to support the requirement of the Technical Computing Services department of McMaster University with respect to their responsibilities for the control and servicing of units of computing equipment at McMaster University.</p> <p> This data base contains information concerning each unit of equipment, its manufacturer, custodian, model number, serial number, purchase or lease record, maintenance record, past and present locations and service record.</p> <p> This project determines various cross-sections of this information to be retrieved. This includes the development of software to create, maintain, update the data base and to produce necessary reports. The design is implemented by CDC's DMS-170 with COBOL 5 as the host language.</p> / Thesis / Master of Science (MSc)

Reading is a fundamental skill in our modern society; being able to read with comprehension and fluency is an important skill in all core academic subjects. Reading teachers are charged with the task to analyze student data in order to drive their instructional decisions. Informal Reading Inventories (IRIs) are one type of an informal reading assessment that teachers can use in the classroom to learn about student reading behaviors and drive instruction. Informal Reading Inventories assess fluency and comprehension. Research suggests that fluency and comprehension have a reciprocal relationship; meaning, if you improve one skill, you improve the other skill simultaneously (DeVries, 2011). This study explored how pre-service teachers, college students in an education program, and in-service teachers, veteran teachers, analyzed data from various IRIs. This study also explored how three separate IRIs, the Qualitative Reading Inventory (QRI), the Basic Reading Inventory (BRI), and the Analytical Reading Inventory (ARI), compared to one another. There were four participants in this study: two undergraduate students in an elementary education program reading class and two veteran classroom teachers. This study found that the grade level readability of the passages are inconsistent with the reading level they claim to be. An inconsistency like this is something to note as many teachers only use these resources on which they were trained during their college education. This study also found that the length of the IRI passages had an effect on the student’s words correct per minute (WCPM); the longer the passage, the lower the WCPM. This is probably due to the fact that students need more time to process a passage for the sake of comprehension.

To prevent disease outbreaks and increase competitiveness of U.S. shrimp products, U.S. aquaculture researchers have developed super-intensive, bio-secure, recirculating shrimp production systems since the early 1990s. The general objective of this research is to determine an optimal production strategy to maximize the net revenue for the system. An inventory optimization model was built to determine the optimal harvesting week, shrimp size, and number of crops per year for experimental trials conducted at the Gulf Coast Research Laboratory (Ocean Springs, MS), the Waddell Maricultural Center (Bluffton, SC), and the Oceanic Institute (Oahu, HI). Survival rate and selling price sensitivity analyses were conducted to see their impact on the system¡¯s net revenue. The optimal harvesting week solved by this model is determined by shrimp growth and feed functions. Producer selling price and survival rate can affect the value of net revenue, but do not impact the optimal harvesting week. Shrimp producers can use the developed inventory optimization model and results to efficiently manage their operations.

The forest products industry is a major component of the economic base for many states in the southeastern United States. Forest inventories that are precise within a 50- to 80-mile mill working circle and the availability of decision support tools for locating mills are of primary importance in attracting and sustaining the industry. This research focuses on the current status of the State of Mississippi's efforts to provide forest inventory information to attract forest industry and balance potentially increased utilization due to new markets with resource sustainability. A pilot study is described that integrates a decision support system (DSS) in a 40-mile radius working circle with a geo-spatially based county-level forest inventory and a transportation network to determine the feasibility and optimal location of a case study Oriented Strand Board (OSB) mill. A linear programming (LP) model was constructed to minimize the cost of procuring and transporting wood to the case study OSB mill site. Net revenue (NR) was calculated to assess financial feasibility of placing the mill at the selected location.