Hossein Abouee-Mehrizi Joseph L. Rotman School of Management, University of Toronto, Toronto, M5S 3E6, CANADA, [email protected] Barış Balcıog̃lu Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8, CANADA, [email protected] Opher Baron Joseph L. Rotman School of Management, University of Toronto, Toronto, M5S 3E6, CANADA, Opher.Baron@R...

In an Enterprise network, several companies interact to produce families of goods. Each member company seeks to optimize his own production and inventory policy to maximize his profit. These objectives are generally antagonistic and can lead to contradictory choices in the context of a network with a high degree of local decisional autonomy. To avoid a global loss of economic efficiency, the ne...

After three decades’ development, revenue management has become an active area of research. Its idea is not only applied in the traditional service industries such as airline, hotel and car rental, but also in manufacturing industry. In this paper, we consider the application of revenue management to a demand fulfillment problem of a make-to-stock (MTS) system, where the manufacturer is facing ...

We address the simultaneous determination of pricing and capacity investment strategies in a multi-period setting under demand uncertainty. In our model a monopolistic firm makes three decisions: capacity investment (or disinvestment), production (inventory), and price, all of which can be specified dynamically as a function of the state of the system. We analyze the optimal joint strategy and ...

We consider a firm that manages its internal manufacturing operations according to a just-in-time (JIT) system but maintains an inventory of finished goods as a buffer against random demands from external customers. We formulate a model in which finished goods are replenished by a small fixed quantity each time period. In the interest of schedule stability, the size of the replenishment quantit...

We consider a class of single-stage, single-product Make-to-Stock productioninventory system (MTS system) with backorders. The system employs a continuous-review base-stock policy which strives to maintain a prescribed base-stock level of inventory. In a previous paper of Zhao and Melamed (Methodology and Computing in Applied Probability 8:191–222, 2006), the Infinitesimal Perturbation Analysis...

We consider a make-to-stock production-inventory model with one machine that produces stock in a buffer. The machine is subject to breakdowns. During up periods, the machine fills the buffer at a level-dependent rate α(x) > 0. During down periods, the production rate is zero, and the demand rate is either β(x) > 0 or γ(x) > 0 when the inventory level is x; which of the two demand rates applies ...

The TFT-LCD module factories are in charge of the last process of the TFT-LCD supply chain, i.e., assembling LCD panels (produced from the former process in the supply chain) as well as electronic components into TFT-LCD panels or the finished products using TFT-LCD panels. Since the variation of machine processes and production techniques at the former process of the supply chain results in a ...

Stock prediction with artificial neural network (ANN) techniques is one of the most important issues in finance being investigated by researchers across the globe. ANN techniques can be used extensively in the financial markets to help investors make qualitative decision. In this methodology a multilayer perception (M.L.P) neural network model is used to determine and explore the relationship b...

This study proposes a multiple attributes decision making (MADM) method for solving glamor stock selection problem based on fundamental analysis. Traditional analyzes rely on choosing key financial ratios in making comparison, or by observing the trends of change in various financial variables (also termed as criteria or signals in this study). However, most of the criteria for stock selection ...