Supply chains today routinely use third parties for many strategic activities, such as manufacturing, R&D, or software development. These activities often include relationship-specific investment on the part of the vendor, while final outcomes can be uncertain. Therefore, writing complete...

Miller and Modigliani (1961) consider valuation of infinite horizon firms that may not engage in purchasing their own shares. While their fundamental valuation approach applies also to firms that purchase their own shares, their stream of dividends approach does not. The latter approach is...

Specific scheduling problems with complex hybrid logical and terminal constraints, non-stationarity in process execution as well as complex interrelations between dynamics in process design, capacity utilization, and machine setups require further investigation and the application of a broad...

A data processing procedure, DEA (Data Envelopment Analysis) is described as as an analytical tool in audit engagement. DEA receives data inputs from from financial statements of a plurality of clients, constructs efficiency frontiers and evaluates relative income efficiencies. DEA can be used...

Firms that offer multiple products are often susceptible to periods of inventory mismatches where one product may face shortages while the other has excess inventories. In this paper, we study a joint implementation of price- and capacity-based substitution mechanisms to alleviate the level of...

Robust optimization is a methodology that can be applied to problems that are affected by uncertainty in the problem's parameters. The classical robust counterpart (RC) of the problem requires the solution to be feasible for all uncertain parameter values in a so-called uncertainty set, and...

This paper considers an optimal control problem for the dynamics of the Nerlove-­Arrow advertising model, the optimal control being the rate of advertising expenditure required to maximize the present value of net profit streams (or, sales) over a finite horizon subject to a budget constraint....

Several nonlinear stochastic models are developed for a dynamic profit-maximizing firm with respect to its price and (possibly) advertising decisions under threat of entry. The optimal price ­advertising policies for these models are characterized by the use of the Maximum Principle. While the...