Re: Zipkin Foundations Of Inventory Management Pdf Download
Olegario Benford
Foundations of Inventory Management presents a complete treatment of inventory theory and models for use in advanced undergraduate, masters, or PhD courses in Operations research, manufacturing management or Operations management. Coverage is organized into an introductory section, followed by a section focused on predictable supply and demand, and the third section covering stochastic inventory models. Many recent developments related to or impacting inventory such as ERP systems, supply chain management, JIT, and ERP systems are integrated within the text.
Paul Zipkin is the R. J. Reynolds Professor Emeritus of Business Administration at the Fuqua School of Business, Duke University. His academic degrees come from Reed, Berkeley, and Yale. His teaching, research, and consulting focus on how supply chains work and how to make them work better, and their strategic roles in the success or failure of companies in the global marketplace. Within this broad theme, his work is concerned with issues of inventory management in suppliercustomer relations; the impact of new production and communications technologies on supplychain performance; coping with product variety at both the operational and strategic levels; and the design of logistics networks.
Material theory (or more formally the mathematical theory of inventory and production) is the sub-specialty 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.
To reduce the losses caused by the supply disruption, as a remedial measure, the emergency order is taken into consideration. For an inventory system with random demand and with stochastic product supply disruption, Risa and Croix [6] offered retailers the best rush order strategy. When the occurrence time of supply interruption is subject to a certain probability distribution and the ending time of supply interruption is determined, Xu et al. [21] studied the optimal order quantity in the loss-averse newsvendor model with backordering. Huang et al. [22] established an emergency order optimization model based on minimizing the inventory cost. Xu et al. [23] studied the optimal option purchase of a loss-averse retailer under emergent replenishment. Xia et al. [24] considered the supply interruption management problem of inventory model with a loss function and provided the retailer with the optimal emergency replenishment strategy.
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