Material theory (or more formally the mathematical theory of inventory and production) is the subspecialty within operations research and operations management that is concerned with the design of production/inventory systems to minimize costs: it studies the decisions faced by firms and the military in connection with manufacturing, warehousing, supply chains, spare part allocation and so on and provides the mathematical foundation for logistics. The inventory control problem is the problem faced by a firm that must decide how much to order in each time period to meet demand for its products. The problem can be modeled using mathematical techniques of optimal control, dynamic programming and network optimization. The study of such models is part of inventory theory.
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✪ Inventory Theory (Theory & Examples)  Professor Vipin

✪ Inventory Management Economic Order Quantity

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Transcription
Contents
Issues
One issue is infrequent large orders vs. frequent small orders. Large orders will increase the amount of inventory on hand, which is costly, but may benefit from volume discounts. Frequent orders are costly to process, and the resulting small inventory levels may increase the probability of stockouts, leading to loss of customers. In principle all these factors can be calculated mathematically and the optimum found.
A second issue is related to changes in demand (predictable or random) for the product. For example, having the needed merchandise on hand in order to make sales during the appropriate buying season(s). A classic example is a toy store before Christmas: if the items are not on the shelves, they cannot be sold. And the wholesale market is not perfect' there can be considerable delays, particularly with the most popular toys. So, the entrepreneur or business manager will buy speculatively. Another example is a furniture store. If there is a sixweek, or more, delay for customers to receive merchandise, some sales will be lost. A further example is a restaurant, where a considerable percentage of the sales are the valueadded aspects of food preparation and presentation, and so it is rational to buy and store somewhat more to reduce the chances of running out of key ingredients. The situation often comes down to two key questions: confidence in the merchandise selling, and the benefits accruing if it does?
A third issue comes from the view that inventory also serves the function of decoupling two separate operations. For example, work in process inventory often accumulates between two departments because the consuming and the producing department do not coordinate their work. With improved coordination this buffer inventory could be eliminated. This leads to the whole philosophy of Just In Time, which argues that the costs of carrying inventory have typically been underestimated, both the direct, obvious costs of storage space and insurance, but also the hardertomeasure costs of increased variables and complexity, and thus decreased flexibility, for the business enterprise.
Inventory models
The mathematical approach is typically formulated as follows: a store has, at time , items in stock. It then orders (and receives) items, and sells items, where follows a given probability distribution. Thus:
Whether is allowed to go negative, corresponding to backordered items, will depend on the specific situation; if allowed there will usually be a penalty for back orders. The store has costs that are related to the number of items in store and the number of items ordered:
 . Often this will be in additive form:
The store wants to select in an optimal way, i.e. to minimize
Many other features can be added to the model, including multiple products (denoted ), upper bounds on inventory and so on. Inventory models can be based on different assumptions:^{[1]}^{[2]}
 Nature of demand: constant, deterministically timevarying or stochastic
 Costs: variable versus fixed
 Flow of time: discrete versus continuous
 Lead time: deterministic or stochastic
 Time horizon: finite versus infinite (T=+∞)
 Presence or absence of backordering
 Production rate: infinite, deterministic or random
 Presence or absence of quantity discounts
 Imperfect quality
 Capacity: infinite or limited
 Products: one or many
 Location: one or many
 Echelons: one or many
Classic models
Although the number of models described in the literature is immense, the following is a list of classics:
 Infinite fill rate for the part being produced: Economic order quantity model, a.k.a. Wilson EOQ Model
 Constant fill rate for the part being produced: Economic production quantity model
 Demand is random, only one replenishment: classical Newsvendor model
 Demand is random, continuous replenishment: Base stock model
 Demand varies deterministically over time: Dynamic lot size model or WagnerWhitin model
 Demand varies deterministically over time: Silver–Meal heuristic
 Several products produced on the same machine: Economic lot scheduling problem
See also
 Safety stock
 Inventory optimization
 Inventory management software
 Supply chain management
 Warehouse management system
References
 ^ Zipkin Paul H., Foundations of Inventory Management, Boston: McGraw Hill, 2000, ISBN 0256113793
 ^ W. Hopp, M. Spearman, Factory Physics, 3rd ed. Waveland Press, 2011
Further reading
 International Journal of Inventory Research is an academic journal on inventory theory publishing current research.
Classic books that established the field are:
 Kenneth J. Arrow, Samuel Karlin, and Herbert E. Scarf: Studies in the Mathematical Theory of Inventory and Production, Stanford University Press, 1958
 Thomson M. Whitin, G. Hadley, Analysis of Inventory Systems, Englewood Cliffs: PrenticeHall 1963
Many university courses in inventory theory use one or more of the following current textbooks:
 Axsaeter, Sven. Inventory Control. Norwell, MA: Kluwer, 2000. ISBN 0387332502
 Porteus, Evan L. Foundations of Stochastic Inventory Theory. Stanford, CA: Stanford University Press, 2002. ISBN 0804743991
 Silver, Edward A., David F. Pyke, and Rein Peterson. Inventory Management and Production Planning and Scheduling, 3rd ed. Hoboken, NJ: Wiley, 1998. ISBN 0471119474
 SimchiLevi, David, Xin Chen, and Julien Bramel. The Logic of Logistics: Theory, Algorithms, and Applications for Logistics Management, 2nd ed. New York: Springer Verlag, 2004. ISBN 0387221999
 Tempelmeier, Horst. Inventory Management in Supply Networks, 3rd. Edition, Norderstedt (Books on Demand) 2011, ISBN 3842346778
 Zipkin, Paul H. Foundations of Inventory Management. Boston: McGraw Hill, 2000. ISBN 0256113793