on the integration of production and financial hedging decisions in global markets we study the integrated operational and financial hedging decisions faced by a global firm who sells to both home and foreign markets production occurs either at a single facility located in one of the markets or at two facilities one in each market the company has to invest in capacity before the selling season starts when the demand in both markets and the currency exchange rate are uncertain the currency exchange rate risk can be hedged by delaying allocation of the capacity to specific markets until both the currency and demand uncertainties are resolved and or by buying financial option contracts on the currency exchange rate when capacity commitment is made a mean variance utility function is used to model the firm s risk aversion in decision making we derive the joint optimal capacity and financial option decision and analyze the impact of the delayed allocation option and the financial options on capacity commitment and the firm s performance we show that the firm s financial hedging strategy ties closely to and can have both quantitative and qualitative impact on the firm s operational strategy the use or lack of use of financial hedges can go beyond affecting the magnitude of capacity levels by altering global supply chain structural choices such as the desired location and number of production facilities to be employed to meet global demand

the optimal mix of flexible and dedicated manufacturing capacities hedging against demand uncertainty abstract a firm that faces uncertain demands for several product groups needs to decide how much of relatively inexpensive dedicated capacity and how much of more expensive flexible capacity to acquire we model this situation as a two stage decision problem investment and allocation we pay particular attention to the dependence of acquisition policy on existing capacities as most firms facing the problem are not likely to be entirely new we show that if initial capacities are lower than the levels that would be optimal in absence of initial capacities the investment decision is a simple acquire up to optimal levels for each capacity type however if some initial capacity is too high the optimal additions to others depend on its value in a non linear yet intuitive fashion we also pose the issue of choosing the degree of flexibility as the realized product mix will affect the performance of partially flexible machines

pricing and the news vendor problem a review with extensions in the newsvendor problem a decision maker facing random demand for a perishable product decides how much of it to stock for a single selling period this simple problem with its intuitively appealing solution is a crucial building block of stochastic inventory theory which comprises a vast literature focusing on operational efficiency typically in this literature market parameters such as demand and selling price are exogenous however incorporating these factors into the mode l can provide an excellent vehicle for examining how operational problems interact with marketing issues to influence decision making at the firm level in this paper we examine an extension of the newsvendor problem in which stocking quantity and selling price are set simultaneously we provide a comprehensive review that synthesizes existing results for the single period problem and develop additional results to enrich the existing knowledge base we also review and develop insight into a dynamic inventory extension of this problem and motivate the applicability of such models

joint inventory replenishment and pricing control for systems with uncertain yield and demand we study the joint inventory replenishment and pricing problem for production systems with random demand and yield more specifically we analyze the following single item periodic review model demands in consecutive periods are independent random variables and their distributions are price sensitive the production yield is uncertain so that the quantity received from a replenishment is a random variable whose distribution depends on the production quantity stockouts are fully backlogged our problem is to characterize the optimal dynamic policy that simultaneously determines the production quantity and the price for each period to maximize the total discounted profit we show that the optimal replenishment policy is of a threshold type i e it is optimal to produce if and only if the starting inventory in a period is below a threshold value and that both the optimal production quantity and the optimal price in each period are decreasing in the starting inventory we further study the operational e

optimal investment strategies for flexible resources considering pricing and correlated demands we study the optimal resource investment decision faced by a two product price setting firm that operates in a monopolistic setting and employs a postponed pricing scheme the firm has the option to invest in dedicated resources as well as a more expensive flexible resource that can satisfy both products while the resource investment decision is made under demand uncertainty pricing and resource allocation decisions are postponed to the time when demand curves are realized our analysis provides the structure of the firm s optimal resource investment strategy as a function of demand parameters and investment costs and shows that the flexible resource investment decision follows athreshold policy we also show that it can be optimal for the firm to invest in the flexible resource even when demand patterns are perfectly positively correlated the reason for flexible capacity investment in this case is financial rather than risk pooling on the other hand we show that it can be optimal for the firm not to invest in the flexible resource even when demand patterns are perfectly negatively correlated the flexible resource investment decision in this case depends on the profitability of the two products based on our analysis we provide principles on the firm s optimal resource investment decision

resource flexibility with responsive pricing this article studies two types of flexibility used by firms to better respond to uncertain market conditions resource flexibility and responsive pricing we consider a situation in which a single flexible resource can be used to satisfy two distinct demand classes while the resource capacity must be decided based on uncertain demand functions the resource allocation as well as the pricing decision are made based on the realized demand functions we characterize the effects of two key drivers of flexibility demand variability and demand correlation assuming normally distributed demand curve intercepts demand variability creates opportunity costs and with fixed prices decreases the firm s profit we show that with the additional flexibility gained from responsive pricing the firm can maximize the benefits of favorable demand conditions and mitigate the effects of poor demand conditions ultimately profiting from variability positive demand correlation on the other hand remains undesirable under responsive pricing the optimal capacity of the flexible resource is always increasing in both demand variability and demand correlation this contrasts with the scenarios based on fixed prices highlighting the crucial difference that responsive pricing makes in the management of flexible resources we further quantify the value of flexibility for the firm and its customers by considering as a benchmark a firm relying on two dedicated resources the value of flexibility is most significant if the demand levels are highly variable and negatively correlated in such cases the firm benefits from demand variability due to responsive pricing while facing limited demand risk due to resource flexibility finally we endogenize the input price of the flexible resource by considering the pricing decision of the resource supplier

note the newsvendor model with endogenous demand this paper considers a firm s price and inventory policy when it faces uncertain demand that depends on both price and inventory level the authors extend the classic newsvendor model by assuming that expected utility maximizing consumers choose between visiting the firm and consuming an exogenous outside option the outside option represents the utility the consumer forgoes when she chooses to visit the firm before knowing whether or not the product will be available the authors investigate both the case in which the firm s price is exogenous and the case in which price is chosen optimally the paper makes two contributions first the authors show that the firm holds more inventories provides a higher fill rate attracts more customers and earns higher profits when it internalizes the effect of its inventory on demand second the authors show that in the endogenous price case the firm s two dimensional decision problem can be reduced to two sequential single variable optimizations as a result the endogenous price case is as easy to solve as the exogenous price case

coordinating investment production and subcontracting we value the option of subcontracting to improve financial performance and system coordination by analyzing a competitive stochastic investment game with recourse the manufacturer and subcontractor decide separately on their capacity investment levels then demand uncertainty is resolved and both parties have the option to subcontract when deciding on their production and sales we analyze and present outsourcing conditions for three contract types 1 price only contracts where an ex ante transfer price is set for each unit supplied by the subcontractor 2 incomplete contracts where both parties negotiate over the subcontracting transfer and 3 state dependent price only and incomplete contracts for which we show an equivalence result while subcontracting with these three contract types can coordinate production decisions in the supply system only state dependent contracts can eliminate all decentralization costs and coordinate capacity investment decisions the minimally sufficient price only contract that coordinates our supply chain specifies transfer prices for a small number 6 in our model of contingent scenarios our game theoretic model allows the analysis of the role of transfer prices and of the bargaining power of buyer and supplier we find that sometimes firms may be better off leaving some contract parameters unspecified ex ante and agreeing to negotiate ex post also a price focused strategy for managing subcontractors can backfire because a lower transfer price may decrease the manufacturer s profit finally as with financial options the option value of subcontracting increases as markets are more volatile or more negatively correlated

productivity growth and environmental regulation in mexican and u s food manufacturing many argued during the nafta debate that trade liberalization would favor mexican over u s food processors especially because of lax environmental laws south of the border we find through an examination of profit functions that productivity growth in mexico has outstripped that in the united states suggesting free trade indeed will benefit mexican suppliers u s pollution regulations have had no impact on the profitability or productivity of u s food manufacturing in contrast mexico s swiftly rising environmental standards have enhanced food processors productivity growth corroborating the porter hypothesis pollution law therefore has favored mexican over u s food processing but for reasons few had anticipated

revenue management under a general discrete choice model of consumer behavior customer choice behavior such as buy up and buy down is an important phenomenon in a wide range of revenue management contexts yet most revenue management methodologies ignore this phenomenon or at best approximate it in a heuristic way in this paper we provide an exact and quite general analysis of this problem specifically we analyze a single leg reserve management problem in which the buyers choice behavior is modeled explicitly the choice model is very general simply specifying the probability of purchase for each fare product as a function of the set of fare products offered the control problem is to decide which subset of fare products to offer at each point in time we show that the optimal policy for this problem has a quite simple form namely it consists of identifying an ordered family of efficient subsets s 1 s m and at each point in time opening one of these sets s k where the optimal index k is increasing in the remaining capacity x and decreasing in the remaining time that is the more capacity or less time available the further the optimal set is along this sequence we also show that the optimal policy is a nested allocation policy if and only if the sequence of efficient sets is nested that is s 1 s 2 s m moreover we give a characterization of when nesting by fare order is optimal we also develop an estimation procedure for this setting based on the expectation maximization em method that jointly estimates arrival rates and choice model parameters when no purchase outcomes are unobservable numerical results are given to illustrate both the model and estimation procedure

the strategic perils of delayed differentiation the value of delayed differentiation also known as postponement for a monopolist has been extensively studied in the operations literature we analyze the case of imperfectly competitive markets with demand uncertainty wherein the choice of supply chain configuration i e early or delayed differentiation is endogenous to the competing firms we characterize firms choices in equilibrium and analyze the effects of these choices on quantities sold profits consumer surplus and welfare we demonstrate that purely strategic considerations not previously identified in the literature play a pivotal role in determining the value of delayed differentiation in the face of either entry threats or competition these strategic effects can significantly diminish the value of delayed differentiation in fact under plausible conditions these effects dominate the traditional risk pooling benefits associated with delayed differentiation in which case early differentiation is the dominant strategy for firms even under cost parity with delayed differentiation we extend the main model to study the effects of alternate market structures asymmetric markets and inventory holdback our results in particular that for a broad range of parameter values early differentiation is a dominant strategy even under cost parity with delayed differentiation are robust to these relaxations

combined pricing and inventory control under uncertainty this paper addresses the simultaneous determination of pricing and inventory replenishment strategies in the face of demand uncertainty more specifically we analyze the following single item periodic review model demands in consecutive periods are independent but their distributions depend on the item s price in accordance with general stochastic demand functions the price charged in any given period can be specified dynamically as a function of the state of the system a replenishment order may be placed at the beginning of some or all of the periods stockouts are fully backlogged we address both finite and infinite horizon models with the objective of maximizing total expected discounted profit or its time average value assuming that prices can either be adjusted arbitrarily upward or downward or that they can only be decreased we characterize the structure of an optimal combined pricing and inventory strategy for all of the above types of models we also develop an efficient value iteration method to compute these optimal strategies finally we report on an extensive numerical study that characterizes various qualitative properties of the optimal strategies and corresponding optimal profit values

organizational learning and systems of labor market regulation in europe this article establishes a link between international differences in the organization of work and modes of regulation of labor markets within europe the article operates with four forms of work organization discretionary learning lean production taylorism and simple or traditional through a factor analysis three dimensions of national labor market systems flexible security passive security and job support are defined using a multi level logistic regression model that takes into account both characteristics of individuals and of national labor market systems it is shown that there is a significant positive correlation between flexible security and the prevalence of discretionary learning on this basis we point to an extension of flexible security in europe s labor markets as an adequate response to the current crisis

testing oligopolistic behavior abstract this paper develops an empirical model of short run pricing behavior for firms in a homogeneous product oligopoly it is based on the variable profit function and related output supply and factor demand equations and is used to analyze the behavior of firms in the coffee roasting industry a parametric test of the dominant firm model is developed and applied the hypothesis of dominant firm behavior and cournot behavior are rejected the hypothesis of price taking behavior is rejected for the largest two firms in the industry but is not rejected for all other firms using the estimated pattern of firm behavior an index of overall industry performance is constructed

optimal procurement policies under price dependent demand abstract we study a periodic review inventory model where in addition to the procurement quantity price is also a decision variable we develop a model where demand in each period is a random variable having a price and possibly period dependent probability distribution with the expected demand decreasing in price the model includes price limits and fixed ordering costs in addition to unit procurement holding and shortage costs we study the optimal policies which jointly maximize the discounted expected profit over a finite planning horizon we characterize the form of the optimal procurement policy under a general price demand relationship and give a sufficient condition for it to be s n s n type we also discuss some special cases and extensions to the basic model including the infinite horizon problem

exports margins and productivity growth with an application to the canadian softwood lumber industry the purpose of this paper is to evaluate the allocative and dynamic efficiency of the canadian softwood lumber industry by testing for the existence of price cost margins and decomposing rates of total factor productivity tfp growth a dynamic model of multiple output production and investment is developed in which output is sold domestically and exported price cost margins are parametrized and estimated the empirical results show that prices are equated to short run marginal costs in domestic and export markets tfp growth is decomposed into four elements technological change returns to sale price cost margins and capital adjustment the empirical results show that for the canadian softwood lumber industry tfp growth averaged 3 percent per year and the major contributing element was the rate of technological change copyright 1994 by mit press

tracing the effects of agricultural commodity prices and food costs we estimate a system of product and input demand equations for food processing industries to trace the links among farm commodity prices food processing costs and food prices disembodied technical change which likely reflects increasing consumer demand for convenience and product variety has sharply reduced agricultural materials demand relative to most other food processing inputs this implies weakening impacts of farm price shocks on food prices but improving quality and falling relative prices for agricultural inputs in combination with increasing factor substitution has counteracted these forces to encourage greater usage of agricultural inputs in food processing and limit these trends food prices today often appear less responsive to farm price shocks than in the past a development sometimes attributed to failures in market institutions however powerful long run technological and social changes leading to adaptations in production processes and food consumption patterns have also altered the demand for primary agricultural materials by changing the structure of food processing industries the social shifts surrounding the expanded role of women in the labor force represent one striking example of such changes the fraction of married women in the labor force less than one third in 1960 rose sharply through the next three decades before stabilizing at around 61 in the 1990s such demographic shifts increased the demand for food products requiring less home preparation time which in combination with enhanced technology has led to more in plant processing of agricultural materials and likely a growing share of nonagricultural inputs in

optimal investment in product flexible manufacturing capacity this paper presents a model and an analysis of the cost flexibility tradeoffs involved in investing in product flexible manufacturing capacity flexible capacity provides a firm with the ability to respond to a wide variety of future demand outcomes but at the expense of the increased cost of acquiring flexible manufacturing capacity as compared with dedicated or nonflexible capacity we formulate the product flexible manufacturing capacity investment decision as a two stage stochastic program in the first stage the firm must make its investment decision in manufacturing capacity before the resolution of uncertainty in product demand in the second stage after demand for products are known the firm implements its production decisions constrained by the first stage investments the main contributions of this paper are threefold first we develop a model of the firm s flexible manufacturing investment decision that conceptually captures some of the key characteristics of this complex decision probl

inventory competition under dynamic consumer choice we analyze a model of inventory competition among n firms that provide competing substitutable goods each firm chooses initial inventory levels for their good in a single period newsboy like inventory model customers choose dynamically based on current availability so the inventory levels at one firm affect the demand of all competingfirms this creates a strategic interaction amongthe firms inventory decisions our work extends earlier work on variations of this problem by karjalainen 1992 lippman and mccardle 1997 and parlar 1988 specifically we model demand in a more realistic way as a stochastic sequence of heterogeneous consumers who choose dynamically from amongthe available goods or choose not to purchase based on a utility maximization criterion we also use a sample path analysis so minimal assumptions are imposed on this demand process we characterize the nash equilibrium of the resulting stocking game and prove it is unique in the symmetric case we show there is a bias toward overstocking caused by competition specifically reducing the quantity stocked at any equilibrium of the game increases total system profits and at any joint optimal set of stocking levels each firm has an individual incentive to increase its own stock for the symmetric case we show that as the number of competing firms increases the overstockingbecomes so severe that total system and individual firm profits approach zero finally we propose a stochastic gradient algorithm for computing equilibria and provide several numerical examples

coordinating inventory control and pricing strategies with random demand and fixed ordering cost the finite horizon case we analyze a finite horizon single product periodic review model in which pricing and production inventory decisions are made simultaneously demands in different periods are random variables that are independent of each other and their distributions depend on the product price pricing and ordering decisions are made at the beginning of each period and all shortages are backlogged ordering cost includes both a fixed cost and a variable cost proportional to the amount ordered the objective is to find an inventory policy and a pricing strategy maximizing expected profit over the finite horizon we show that when the demand model is additive the profit to go functions arek concave and hence an s s p policy is optimal in such a policy the period inventory is managed based on the classical s s policy and price is determined based on the inventory position at the beginning of each period for more general demand functions i e multiplicative plus additive functions we demonstrate that the profit to go function is not necessarilyk concave and an s s p policy is not necessarily optimal we introduce a new concept the symmetrick concave functions and apply it to provide a characterization of the optimal policy

price cost margins exports and productivity growth with an application to canadian industries a model is estimated for oligopolistic industries producing multiple outputs in short run equilibrium outputs are sold domestically and exported while capital is treated as a quasi fixed factor the model is applied to the canadian non electrical machinery electrical products and chemical products industries the results show that there is significant oligopoly power in each of the industries and that the degree of this power differs between the domestic and export markets total factor productivity is decomposed price cost margins exert little influence but the rate of technological change returns to scale and the rate of capital adjustment determine productivity growth

price versus production postponement capacity and competition this article presents a comparative analysis of possible postponement strategies in a two stage decision model where firms make three decisions capacity investment production inventory quantity and price typically investments are made while the demand curve is uncertain the strategies differ in the timing of the operational decisions relative to the realization of uncertainty we show how competition uncertainty and the timing of operational decisions influence the strategic investment decision of the firm and its value in contrast to production postponement price postponement makes the investment and production inventory decisions relatively insensitive to uncertainty this suggests that managers can make optimal capacity decisions by deterministic reasoning if they have some price flexibility under price postponement additional postponement of production has relatively small incremental value therefore it may be worthwhile to consider flexible ex post pricing before production postponement reengineering while more postponement increases firm value it is counterintuitive that this also makes the optimal capacity decision more sensitive to uncertainty we highlight the different impact of more timely information which leads to higher investment and inventories and of reduced demand uncertainty which decreases investment and inventories our analysis suggests appropriateness conditions for simple make to stock and make to order strategies we also present technical sufficiency and uniqueness conditions under price postponement these results extend to oligopolistic and perfect competition for which pure equilibria are derived interestingly the relative value of operational postponement techniques seems to increase as the industry becomes more competitive

flexible service capacity optimal investment and the impact of demand correlation we consider a firm that provides multiple services using both specialized and flexible capacity the problem is formulated as a two stage single period stochastic program the firm invests in capacity before the actual demand is known and optimally assigns capacity to customers when demand is realized sample applications include a car rental company s use of mid sized cars to satisfy unexpectedly high demand for compact cars and an airline s use of business class seats to satisfy economy class demand we obtain an analytical solution for a particular case when services may be upgraded by one class the simple form of the solution allows us to compare the optimal capacities explicitly with a solution that does not anticipate flexibility given that demand follows a multivariate normal distribution we analytically characterize the effects of increasing demand correlation on the optimal solution for the case with two customer classes the effects of demand correlation are intuitive increasing correlation induces a shift from flexible to dedicated capacity when there are three or more classes there are also adjustments to the resources not directly affected by the correlation change as correlation rises these changes follow an alternating pattern for example if the optimal capacity of one resource rises then the optimal capacity of the adjacent resource falls these results make precise conjectures based on numerical experiments that have existed in the literature for some time

co production processes with random yields in the semiconductor industry a wide variety of manufacturing operations can be characterized as co production with substitutable demand that is there are many situations in which the availability of two or more items are related and because of randomness in either supply or demand it can be advantageous to substitute one of these items for another our research was motivated by the semiconductor industry where chips are produced in large batches because of the presence of randomness in the process individual chips in a given batch can perform differently because some customers have stricter specifications than others chips within the same batch can be classified and sold as different products according to their measurable performance we model the production and inventory problem as a stochastic dynamic program in which the objective is to minimize the costs of meeting contractual obligations after developing heuristic methods of solving the problem in practice we validate them against a lower bound on the cost of an optim

testing for market power using a dynamic oligopoly model abstract we propose a dynamic reformulation of the oligopoly model of bresnahan 1982 and lau 1982 in an error correcting framework this reformulation addresses both statistical problems generated by short run dynamics in the data and incorporates important dynamic factors such as habit formation from the demand side and adjustment costs for the producer we also propose a test for separability of the variables involved in the identification of the market power parameter to illustrate the model the french market for fresh salmon is analysed the results suggest the salmon market to be competitive in the long run but indicate that the largest producer norway has some market power in the short run

pricing and operational recourse in coproduction systems coproduction systems in which multiple products are produced simultaneously in a single production run are prevalent in many industries such systems typically produce a random quantity of vertically differentiated products this product hierarchy enables the firm to fill demand for a lower quality product by converting a higher quality product in addition to the challenges presented by random yields and multiple products coproduction systems often serve multiple customer classes that differ in their product valuations furthermore the sizes of these classes are uncertain employing a utility maximizing customer model we investigate the production pricing downconversion and allocation decisions in a two class stochastic demand stochastic yield coproduction system for the single class case we establish that downconversion will not occur if prices are set optimally in contrast we show that downconversion can be optimal in the two class case even if prices are set optimally we consider the benefit of postponing certain operational decisions e g the pricing or allocation rule decisions until after uncertainties are resolved we use the term recourse to denote actions taken after uncertainties have been resolved we find that recourse pricing benefits the firm much more than either downconversion or recourse allocation do implying that recourse demand management is more valuable than recourse supply management special cases of our model include the single class and two class random yield newsvendor models

process flexibility in supply chains process flexibility whereby a production facility can produce multiple products is a critical design consideration in multiproduct supply chains facing uncertain demand the challenge is to determine a cost effective flexibility configuration that is able to meet the demand with high likelihood in this paper we present a framework for analyzing the benefits from flexibility in multistage supply chains we find two phenomena stage spanning bottlenecks and floating bottlenecks neither of which are present in single stage supply chains which reduce the effectiveness of a flexibility configuration we develop a flexibility measureg and show that increasing this measure results in greater protection from these supply chain inefficiencies we also identify flexibility guidelines that perform very well for multistage supply chains these guidelines employ and adapt the single stage chaining strategy of jordan and graves 1995 to multistage supply chains

research note the role of production lead time and demand uncertainty in marketing durable goods firms often have to make their production decisions under conditions of demand uncertainty this is especially true for product categories such as automobiles and technology goods where the lead time needed for manufacturing forces firms to make production decisions well in advance of the selling season once the firm has produced the goods the available production volume affects the firm s subsequent marketing decisions in this paper we study the relationship between the firm s production and marketing decisions for a durable goods manufacturer we develop a dynamic model of a durable product market in which the demand functions are developed from a micromodeling of consumer utility functions and an equilibrium analysis of consumer strategies after taking into account the demand uncertainty as well as the potential for cannibalization of future sales the manufacturer makes its production and sales decisions we find that the firm s optimal inventory level is u shaped in the durability of the product and that the firm suffers a larger loss due to uncertainty when it is leases rather than sells its products furthermore unlike the case for nondurables for durable goods we find that the effect of uncertainty persists even after the uncertainty has been resolved