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Due to the fact that the non-standard products, being used by customers, may cause failures in products with sales delays, which naturally affect the warranty policy. Thus, it seems to be necessary to study these two concepts simultaneously. The paper aims to discuss these issues.

In this paper, a model is developed for estimating the expected warranty costs under sales delay conditions when two operator costs (failing but not reported and non-failing but reported) are included.

The proposed model is validated using a numerical example for a two types of intermittent and fatal failures occur under a non-renewing warranty policy.

Sales delay is the time interval between the date of production and the date of sale. Most reported literature on warranty claims data analysis related to sales delay have mainly focussed on estimating the probability distribution of the sales delay.

Rewards from sales promotions may be either immediate (e.g. instant savings, coupons, instant rebates) or delayed (e.g. rebates, refunds). The latter type is of interest in this study. The purpose of this paper is to present the hyperbolic discounting framework as an explanation for how consumers delay‐discount rewards, and test whether this holds for both high‐price and low‐price product categories.

Data were collected by administering two online surveys to respondents. One survey presented choice scenarios between sales promotion formats for a high‐priced product (a laptop, n=154) and the other for a low‐priced product (a cell phone, n=98). Hyperbolic and exponential functions were then fitted to the data.

The hyperbolic function had a better fit than the exponential function for the low‐priced product. However, this effect was not evident in the case of the high‐priced product; no significant difference was found between the functions. The rate of discounting was greater for the high‐priced product than for the low‐priced product. Thus, for low‐priced products, rather than discount a reward rationally, consumers tend to discount the value of the reward at a decreasing rate.

This study addresses delay discounting in the context of a typical consumer buying situation. It also addresses the possibility of consumers applying different forms of discounting to products at different price levels and tests for the same. The results are of considerable significance for marketers wishing to offer price discounts to consumers. For low‐priced products, marketers seem to have more flexibility in delaying the reward, since the rate of discounting decreases for longer delay periods. At the same time, the discount rate for high‐priced products is higher than that for low‐priced products, hence delay periods may have a more critical role as discounted values fall steeply with an increase in delay to reward.

The existence of the advertising delay effect and its impact on supply chain operations have been demonstrated in the current study. Therefore, this study develops a timely inventory control strategy for the fresh produce supply chain to address the advertising delay effect in the fresh produce supply chain.

This study proposes a game model based on the Nerlove-Arrow time delay differential equation and Pontryagin's maximum principle. Through comparative analyses of the optimal equilibrium strategies, the authors compare the optimal equilibrium strategies, product goodwill and optimal inventory trajectories for suppliers and retailers under secondary replenishment decisions and decentralized decisions.

The authors find that (1) Only when the sales cycle meets certain conditions can the overall profit of the supply chain under the secondary replenishment decision be greater than that under the decentralized decision. As the price markup coefficient increases, the total profit of the supply chain first increases and then decreases. (2) With the increase in the delay time, the replenishment quantity during the initial period gradually decreases. After the delay time elapses, the inventory depletion rate under secondary replenishment decisions is faster than that under decentralized decision-making. (3) Although there is a continuously increasing maximum value of product goodwill with the increase in delay time, it becomes difficult to achieve this value for longer delays.

The authors’ findings provide a theoretical basis for supply chain members of fresh agricultural products to select replenishment and inventory control strategies when adopting different levels of delay in advertising marketing.

Firstly, this paper explains the impact of advertising delay effect on fresh produce supply chain from a dynamic perspective, and secondly, it provides guidance on advertising formulation and inventory replenishment for fresh produce retailers under the influence of advertising delay effect.

In 1996, GAO reported that the State Department did not have an effective process for identifying and selling unneeded overseas real estate, and that decisions concerning the sale of some properties had been delayed for years because of parochial conflicts among the parties involved. The State Department has taken steps to implement a more systematic process for identifying unneeded properties by (1) requesting posts to annually identify excess, underutilized, and obsolete property and (2) requesting its own staff and Inspector General officials to place greater emphasis on identifying such property when they visit posts. The State Department has significantly increased its sales of unneeded properties in the last 5 years. From 1997 through 2001, it sold 104 overseas properties for over $404 million, almost triple the proceeds compared with the previous 5-year period. However, the department still has a large number of unneeded properties that have not yet been sold. The State Department has not effectively implemented recommendations made by the Real Property Advisory Board to sell unneeded property. State has disposed of only 7 properties of the 26 recommended for sale by the board.

This paper seeks to present a decision‐making model for manufacturers to maximize their profits in reverse logistics operations.

A system dynamic model has been developed to complement with prior models and is validated using data collected from a computer company manufacturer handling returns with volumes transacted over a period of two years.

The results from the model indicate that part replacements from suppliers are more profitable than refurbished computer parts. In addition, transportation delay and supplier delay in processing returns have a significant impact on the viability of reverse logistics regardless of return volumes.

The current model is not designed for third‐party logistics (3PL) offering reverse logistics services. However, this can be accomplished by resetting some of the parameters in the model. The other limitations are exchange rate fluctuation and product depreciation which are not incorporated in the model. This is important in Asia where each country has its own currency which fluctuates with time.

This dynamic model will assist decision‐makers to test new policies related to reverse logistics, for example, liberal versus conservative return policy from supplier, shipment consolidation (longer delays) versus direct shipment, batch (longer delays) versus JIT remanufacturing, pricing of new parts versus re‐condition parts, as well as to examine its long‐term viability.

Using system dynamics to understand the profitability of reverse logistics for both replacement parts to suppliers and refurbished parts to manufacturers.

The purpose of this paper is to examine the factors influencing Indonesian farmers’ use of the warehouse receipt system (WRS) and their choice of private and public warehouses.

Primary data were collected through questionnaires administered to 500 farmers in two districts, Subang and Cianjur, in West Java Province in Indonesia. Binary logit regression was employed to examine the factors influencing farmers’ use of the WRS. Binary and bivariate probit regressions were employed to determine the factors influencing farmers’ choice of private and public warehouses.

The empirical results of the binary logit regression revealed that age, land ownership, selling price, the use of the warehouse receipt as collateral security and the availability of transportation facility positively influenced farmers’ use of the WRS, whereas education, income, farm profit and participation in farmers’ group negatively influenced farmers’ use of the WRS. The results of the binary probit regressions revealed that profit, availability of insurance and processing facility positively influenced the farmers’ decision to use the private WRS, whereas education, production, selling price and distance from the farm to the warehouse negatively influenced farmers’ decision to use the private WRS. Age, education, selling price and distance from the farm to the warehouse positively influenced the farmers’ decision to use the public WRS, whereas production and availability of processing facility negatively influenced the decision of farmers to use the public WRS.

This study highlights the importance of education and government assistance regarding the provision of facilities and price indemnified insurance for successful implementation of the WRS.

This study provides an empirical contribution to the existing literature on the development of WRS in Indonesia. In terms of methods of analysis, previous studies used purely qualitative and descriptive methods, whereas this study employed econometric techniques (i.e. binary logit, binary probit and bivariate probit regressions) to examine the WRS in Indonesia. In addition, whereas previous studies explored the WRS in general, this study investigated the farmers’ use of the public and private warehouses in addition to exploring the WRS in general. Finally, the finding that the average annual profit of non-users was significantly higher than that of the users of the WRS is striking, and this could be attributed to the current challenges of the implementation of the WRS, including high transportation and warehouse rental costs.

This chapter extends Panyagometh and Roberts (2008) by taking into account differences in costs of closure among countries and the effects of subordinated debt on moral hazard problems. Our results show that a mandatory subordinated debt policy (MSDP) can be used with contingent purchase and assumption policy to further reduce probability of future bank failure if the high level of uninsured debt can improve the effectiveness of monitoring. While a MSDP might be appropriate for some developed countries with effective informational and supervisory environments and developed financial markets, such as the U.S., extending a MSDP into developing countries is questionable.

Introduction Operations research, i.e. the application of scientific methodology to operational problems in the search for improved understanding and control, can be said to have started with the application of mathematical tools to military problems of supply bombing and strategy, during the Second World War. Post‐war these tools were applied to business problems, particularly production scheduling, inventory control and physical distribution because of the acute shortages of goods and the numerical aspects of these problems.