Impacts of revenue sharing,profit sharing and transfer pricing on quality-improving investments

We compare revenue sharing with different profit-sharing rules and constant transfer prices in a buyer-seller setting, in which the incompleteness of contracts causes decentralization costs. Our focus is on a situation where a manufacturing department or a supplier of an intermediate product can invest in a quality improvement of the final product and thereby increase customer demand. We analyze the willingness of the supplier to invest under a revenue-sharing rule, three profit-sharing rules and a transfer-pricing scheme. Our analysis shows that the performance of sharing rules is likely to decrease when the sharing basis consists of fewer cost components. Remarkably, this is not true for the revenue-sharing rule. To the contrary, this less prominent scheme can be shown to maximize total profit under a variety of cost combinations.     

Learning curves and lot sizing for independent and dependent demand

This paper explores the effect of learning curve cost behavior, as opposed to linear, on lot sizing. The first portion of the paper develops optimizing models for the independent demand situation. The second portion examines lot sizing for dependent demand, developing a lot sizing rule similar to Part Period Balancing.After examining the shortcomings of previous attempts at the independent demand lot sizing problem, two models are derived. Excluding material costs (for an assembly operation, the cost of all components), the optimal lot size is seen to vary linearly with demand and inversely with the carrying cost rate.When material costs are included a smaller optimal lot size is derived. The difference between the two, expressed as a fraction of the smaller lot size, equals the material/labor ratio of the last unit produced in the smaller lot size. For dependent demand, the incremental model developed by Freeland and Colley as an improvement on Part Period Balancing is used as a beginning concept. An analogous model, called Assembly Period Balancing, is developed for learning curve cost behavior. The decision rule for combining lots is expressed as a comparison of the material/labor ratio of the lot considered for combining with another expression involving the carrying cost rate, relative lot size and the learning curve exponent.Finally, cost data from an electronics manufacturer are used to examine the cost penalties of failing to recognize learning curve cost behavior. It is shown that optimal lot sizes for learning curve costs can be much larger than those obtained assuming linear costs. It is also shown that much larger lots can be economically combined in the dependent demand case when costs follow a learning curve.     

The effects of major U.S. domestic airline code sharing and profit sharing rule

This paper presents a structural model of code sharing among major U.S. domestic airlines and estimates a profit‐sharing rule. The profit‐sharing rule between partner firms in code sharing is estimated at 0.92, which suggests that the operating carrier acquires around 92% of profits from a round‐trip, and the marketing carrier retains 8% as a commission fee. Meanwhile, the economies of code sharing reduces marginal cost, and firms are able to price at higher markups. This implies that demand increases and consumers have larger surplus if code sharing creates new products.     

Profit maximization and marketing strategies: Demand rotation and social influences

Microeconomic texts discuss alterations in industry demand curves as movements to higher or lower levels. Consider, instead, the implications for a monopolist's profit of rotating its (linear) demand curve. Where this can be done without cost by pivoting at the current price it will be profitable to continue to pivot the curve until it is horizontal or vertical. The possibility of rotating the demand curve of a ‘new’ product on an arbitrarily selected price allows us to consider the optimality of different advertising strategies (‘bandwagon’ or 'snob').     

Production risk and the estimation of ex-ante cost functions

Cost function estimation under production uncertainty is problematic because the relevant cost is conditional on unobservable expected output. If input demand functions are also stochastic, then a nonlinear errors-in-variables model is obtained and standard estimation procedures typically fail to attain consistency. But by exploiting the full implications of the expected profit maximization hypothesis that gives rise to ex-ante cost functions, it is shown that the errors-in-variables problem can be effectively removed, and consistent estimation of the parameters of interest achieved. A Monte Carlo experiment illustrates the advantages of the proposed procedure as well as the pitfalls of other existing estimators.     

Computer simulation of lot-sizing algorithms in three-stage multi-echelon inventory systems

This paper evaluates conventional lot-sizing rules in a multi-echelon coalescence MRP system. A part explosion diagram of three levels and twenty-one nodes is simulated using FORTRAN IV Level G. Nine separate lot-sizing methods were evaluated in this analysis. These methods included Lot for Lot, Economic Order Quantity, Periodic Order Quantity, Least Total Cost, Least Unit Cost, Part-Period Balancing, the Silver-Meal Algorithm, and the Wagner-Whitin Algorithm. A hybrid rule using both the Economic Order and the Economic Production Quantity rules was also evaluated.The performance of each lot sizing rule was simulated over nine different sets of market requirements patterns over a twelve month period. The types of demand variation included a constant rate, three different patterns of normally distributed demand, a random pattern, and two cyclic patterns. A hybrid pattern was used which equally weighted components of constant, random, normal, and cyclic demand. Finally, the ninth pattern consisted of actual data obtained from a job shop manufacturing facility.Within the part explosion diagram, ratios of setup cost to carrying cost, “goes into” quantities, and lead times were assigned for each node. Assigned values were selected from uniform distributions with prespecified ranges.A computer model was developed to perform the simulation. It consisted of an executive program, a routine for data generation, and separate routines to exercise each of the different lot-sizing rules. The simulations were conducted under three operational rules. The first rule allowed for the establishment of initial inventories just large enough to “cover” those gross requirements that occurred prior to the time the first order arrived. Carrying costs for this stock were included in the computation of total costs per node. The second rule provided for the delay of application of each lot sizing rule. This avoided receiving an order in a period of zero demand. The third rule addressed the computation of costs. The total cost was computed on the basis of average inventory level and the number of required setups.The analysis required the completion of 1701 separate simulation runs (9 rules X 9 demand patterns X 21 nodes). The performance of each rule was evaluated on the basis of total annual inventory cost. The Periodic Order Quantity (POQ) rule performed best in six of the nine demand patterns analyzed. In two of the remaining three cases, it ranked second on the basis of minimizing costs.The Least Unit Cost (LUC), Least Total Cost (LTC), and Pan-Period Balancing (PPB) algorithms demonstrated identical performance in four of the demand patterns analyzed. Generally, they ranked in the upper half of the rules evaluated. The Economic Order Quantity (EOQ) and the Economic Order/Production Quantity hybrid rules performed only moderately well. On the basis of cost, the consistent worst performers were the Wagner-Whitin (WW), Silver-Meal (SM), and Lot-for-Lot (LFL) rules.It was found that gross requirements tend to occur sporadically in different levels of the system. Order policies of parent nodes often cause the policies in higher level nodes to resemble the lot-for-lot order philosophy, regardless of the rule being used. Because of this phenomenon, those rules that generate fewer orders over the planning horizon for parent nodes often tend to perform better on the basis of total inventory cost.     

On the desirability of nominal GDP targeting

This paper evaluates the welfare properties of nominal GDP targeting in the context of a New Keynesian model with both price and wage rigidity. In particular, we compare nominal GDP targeting to inflation and output gap targeting as well as to a conventional Taylor rule. These comparisons are made on the basis of welfare losses relative to a hypothetical equilibrium with flexible prices and wages. Output gap targeting is the most desirable of the rules under consideration, but nominal GDP targeting performs almost as well. Nominal GDP targeting is associated with smaller welfare losses than a Taylor rule and significantly outperforms inflation targeting. Relative to inflation targeting and a Taylor rule, nominal GDP targeting performs best conditional on supply shocks and when wages are sticky relative to prices. Nominal GDP targeting may outperform output gap targeting if the gap is observed with noise, and has more desirable properties related to equilibrium determinacy than does gap targeting.     

Production lot sizing for deterministic rolling schedules

In this article, we study production planning for a rolling horizon in which demands are known with certainty for a given number of periods in the future (the forecast window M). The rolling horizon approach implements only the earliest production decision before the model is rerun. The next production plan will again be based on M periods of future demand information, and its first lot-sizing decision will be implemented.Six separate lot-sizing methods were evaluated for use in a rolling schedule. These include the Wagner-Whitin algorithm, the Silver-Meal heuristic, Maximum Part-Period Gain of Karni, Heuristics 1 and 2 of Bookbinder and Tan, and Modification 1 to the Silver-Meal heuristic by Silver and Miltenburg.The performance of each lot-sizing rule was studied for demands simulated from the following distributions: normal, uniform (each with four different standard deviations); bimodal uniform (two types); and trend seasonal (both increasing and decreasing trends). We considered four values of the setup cost (leading to natural ordering cycles in an EOQ model of three, four, five, and six periods) and forecast windows in the range 2 M 20.Eight 300-period replications were performed for each combination of demand pattern, setup cost, and lot-sizing method. The analysis thus required consideration of 2304 300-period replications (6 lot-sizing methods × 12 demand patterns × 4 values of setup cost × 8 realizations), each of which was solved for nineteen different values of the forecast window M. The performance of the lot-sizing methods was evaluated on the basis of their average cost increase over the optimal solution to each 300-period problem, as though all these demands were known initially.For smaller forecast windows, say 4 M 8, the most effective lot-sizing rules were Heuristic 2 of Bookbinder and Tan and the modified Silver-Meal heuristic. Rolling schedules from each were generally 1% to 5% in total cost above that of the optimal 300-period solution. For larger forecast windows, M 10 or so, the most effective lot-sizing method was the Wagner-Whitin algorithm. In agreement with other research on this problem, we found that the value of M at which the Wagner-Whitin algorithm first becomes the most effective lot-sizing rule is a decreasing function of the standard deviation of the demand distribution.     

企业物流外包决策的经济准则

通过建立模型,比较企业物流外包前后的利润水平,提出一个判别物流外包能否增加企业利润的准则。该准则表明,并非只要服务商的成本低于外包企业,外包企业就能通过物流外包提高利润水平,而是存在一个阈值。该阈值由外包企业的生产、销售、自营物流成本等因素综合决定,只有将物流业务外包给成本低于该阈值的服务商,才能提高外包企业的利润水平。     

New monetarism with endogenous product variety and monopolistic competition

I examine the role played by endogenous variety and monopolistic competition in the long-run transmission of monetary policy. I integrate free entry, product variety and monopolistic competition into a New Monetarist framework, considering preferences that give rise to either constant or variable markups. I find that inflation generally reduces variety. Under CES preferences, firms are inefficiently small, with the inefficiency increasing with product differentiation and the extent of search frictions. The Friedman rule is the best policy under CES preferences. In contrast, with variable elasticity of demand, inflation can increase firm size, reduce markups, and raise welfare, even though output is lower. Under CES preferences, the welfare cost of inflation is high; moreover, this cost increases monotonically with the markup and is higher with endogenous variety than with a fixed product space.     

A dynamic analysis of moving average rules

The use of various moving average (MA) rules remains popular with financial market practitioners. These rules have recently become the focus of a number empirical studies, but there have been very few studies of financial market models where some agents employ technical trading rules of the type used in practice. In this paper, we propose a dynamic financial market model in which demand for traded assets has both a fundamentalist and a chartist component. The chartist demand is governed by the difference between current price and a (long-run) MA. Both types of traders are boundedly rational in the sense that, based on a fitness measure such as realized capital gains, traders switch from a strategy with low fitness to the one with high fitness. We characterize the stability and bifurcation properties of the underlying deterministic model via the reaction coefficient of the fundamentalists, the extrapolation rate of the chartists and the lag length used for the MA. By increasing the intensity of choice to switching strategies, we then examine various rational routes to randomness for different MA rules. The price dynamics of the MA rule are also examined and one of our main findings is that an increase of the window length of the MA rule can destabilize an otherwise stable system, leading to more complicated, even chaotic behaviour. The analysis of the corresponding stochastic model is able to explain various market price phenomena, including temporary bubbles, sudden market crashes, price resistance and price switching between different levels.     

基于成本分摊的易逝品两级供应链利益分配分析

易逝品本身的特点决定了其生产经营风险大、市场需求不确定,所以制造商和零售商之间采取采购承诺和契约的有效方式来实现风险和利益的分摊。本文从成本分摊的角度,探讨在两级供应链中利益在制造商和零售商之间的分配,以及在不同情形下的供应链总利益。     

Valuing not-for-profit and charity brands—real insight or just smoke and mirrors

Brands introduce emotional decision-making criteria, differentiating all brands across the not-for-profit sector. Brands shift the demand curve upwards and the cost curve downwards. The result is higher turnover, profit and surplus ‘consumer utility’. Brand equity is a measure of the emotional reservoir that shows how far the demand curve has moved and what the future cash flows will be. Brand valuation is a snapshot of those future cash flows. David Haigh and Stephen Gilbert's article describes how these three concepts fit together and explains how and why they have become best practice in marketing and financial management. Copyright © 2005 John Wiley & Sons, Ltd.     

An extreme point characterization of strategy-proof and unanimous probabilistic rules over binary restricted domains

We show that every strategy-proof and unanimous probabilistic rule on a binary restricted domain has binary support, and is a probabilistic mixture of strategy-proof and unanimous deterministic rules. Examples of binary restricted domains are single-dipped domains, which are of interest when considering the location of public bads. We also provide an extension to infinitely many alternatives.     

The Interactive Effect of Product Differentiation and Cost Variability on Profit

It is generally believed that industries with greater product differentiation have higher rates of return. This paper shows that this effect breaks down in the presence of firm-specific cost shocks. Greater substitutability in products generates two opposing effects: (1) it allows a larger increase in demand when a firm has a favorable cost shock, which more than compensates for the reduction in demand when it has an unfavorable cost shock, and (2) it results in more intense price competition. These two countervailing forces result in industry profit being highest in markets with a moderate degree of product differentiation.     

Safety margins versus profit maximization

Under uncertainty, firms risk bankruptcy. We ask, in symmetric duopoly with stochastic demand, what happens when one firm minimizes the probability of negative profits while the other maximizes expected profits. When fixed costs are small, a firm can reduce the likelihood of negative profits. However, under a large fixed cost, the chance of negative profits increases upon deviation from a profit‐maximizing strategy. In any event, if one firm adopts a safety‐first strategy, the other firm has higher profits and a better survival chance by maximizing expected profit. Finally, we compare a profit maximizing to a safety‐first strategy in relation to ownership and control in firms.     

Random scheduling with deadlines under dichotomous preferences

A group of individuals share a deterministic server which is capable of serving one job per unit of time. Every individual has a job and a cut off time slot (deadline) where service beyond this slot is as worthless as not getting any service at all. Individuals are indifferent between slots which are not beyond their deadlines (compatible slots). A schedule (possibly random) assigns the set of slots to individuals by respecting their deadlines. We only consider the class of problems where for every set of relevant slots (compatible with at least one individual) there are at least as many individuals who have a compatible slot in that set: we ignore the case of underdemand. For this class, we characterize the random scheduling rule which attaches uniform probability to every efficient deterministic schedule (efficient uniform rule) by Pareto efficiency, equal treatment of equals, and probabilistic consistency (Chambers, 2004). We also show that a weaker version of the probabilistic consistency axiom is enough to achieve our result. Finally we show that efficient uniform rule is strategyproof.     

钻孔灌注桩钢筋笼直螺纹连接施工技术

福建大剧院桩基工程预应力抗拔钻孔灌注桩钢筋笼采用直螺纹连接新技术。实践证明,该技术很好地满足了技术要求,操作简单,可加快施工进度,经济效益好。     

The cyclical nature of markups in Canadian manufacturing: A production theory approach

In this paper the effects of cost and demand characteristics on the magnitude and cyclical behaviour of markups in Canadian manufacturing are measured within a production theory framework. Price to marginal cost ratios for various manufacturing industries are computed, and the impact art their secular and cyclical trends from changes in capacity utilization, scale economies, variable input prices, import competition, unemployment and other exogenous market and technological determinants are explored using adjusted markup indexes and elasticities. The measured price margins seem weakly procyclical. Further, evaluation of the determinants of these cycles suggests that the procyclical nature of markups is primarily related to exogenous factors affecting costs such as energy price ‘shocks’, and that cost characteristics underlying scale economies provide a countercyclical influence that counteracts the profitability arising from markups.     

Inventory policies for humanitarian aid during hurricanes

In this work we present a stochastic programming model minimizing costs, to support the decision process of inventory policy which best satisfies the demand for food in shelters when hurricane winds are about to impact a town. In this model we consider perishable products as well as the first in first out (FIFO) system for their consumption. In order to make the model closer to reality ordering cost is time-varying and we add a penalty cost in case the shortage exceeds a known limit for two days in a row. Finally the cost to dispose of expired food is greater than the purchase cost of the product since throwing away food has ethical implications. Starting from a stochastic programming model, we present a procedure to transform it to a deterministic mixed integer programming model (MIP) with non-convex objective function over its entire domain, which closely states the situation in reality. Preliminary computational results and discussion are presented.