Using the Pack‐and‐a‐Half Rule to Eliminate Backroom Inventories in Retail Operations

In the retail industry, backroom inventories are typically associated with higher labor costs and greater operational complexity. Thus, retailers look for ways to eliminate backroom inventories. A heuristic used for this purpose is the pack‐and‐a‐half rule which suggests that the shelf space allocated for a product should be at least 50% larger than the case pack quantity in which the product is delivered. Despite its popularity among retailers, the pack‐and‐a‐half rule has been ignored in the academic literature. We introduce the pack‐and‐a‐half rule, assess its impact on a retailer's profits, identify cost, demand, and product characteristics driving this impact, and propose a modification. Based on an analysis of data obtained from a retailer on 1,986 SKUs in 20 categories, we find that the pack‐and‐a‐half rule decreases a retailer's profits, on average, by 10% when applied uniformly across all SKUs. Further, this decrease is significantly affected by product depth, product width, demand elasticity, case pack quantity, and inventory carrying cost. Finally, we develop a set of modifications based on these variables where the pack‐and‐a‐half rule is applied selectively and in a stepwise fashion. These modifications limit the decrease in a retailer's profits to a range between 6% and 7%.     

Properties that Sell at or above Listing Price: Strategic Pricing,Better Broker or Just Dumb Luck?

The Journal of Real Estate Finance and Economics - A surprisingly large number of houses sell above listing prices in a wide range of markets and in all market conditions. The question is: why do...     

STABILIZATION POLICY AT THE ZERO LOWER BOUND

We construct a monetary economy with aggregate liquidity shocks and heterogeneous idiosyncratic preference shocks. In this environment, not all agents are satiated at the zero lower bound (ZLB) even when the Friedman rule is the best interest‐rate policy the central bank can implement. As a consequence, central bank stabilization policy, which takes the form of repo arrangements in response to aggregate demand shocks, temporarily relaxes the liquidity constraint of impatient agents at the ZLB. Due to a pecuniary externality, this policy may have beneficial general equilibrium effects for patient agents even if they are unconstrained in their money balances.     

Research note: religious doctrine and its influence on the choice to gamble as a leisure pastime among African American Methodists

This research note examines the relationship between adherence to religious doctrine and participation in gambling as a leisure pastime. In the United States, recreational gambling is a common leisure pastime for many African Americans. Our ideals about the value of gambling are often shaped within families, based on their lived experience with recreational gambling and also within religious communities. Two doctrinal statements from the Methodist strand of Protestantism provide critical assessment of gambling as a leisure pastime. This case study examined African American Methodists’ perceptions about religious doctrine that addresses gambling; their choice to gamble despite their familiarity with the doctrinal position of the Church; and the perception of gambling as a sinful leisure pursuit. Religious doctrine may deter some adherents from participating in gambling as a leisure pursuit but not everyone. Many can be familiar with religious doctrine, may not agree with it and will proceed to gamble. Finally, even if gambling is perceived as a sinful leisure activity, it concurrently can be viewed as a ‘harmless’ vice.     

Outside versus inside bonds: A Modigliani–Miller type result for liquidity constrained economies

When agents are liquidity constrained, two options exist – sell assets or borrow. We compare the allocations arising in two economies: in one, agents can sell government (outside) bonds and in the other they can borrow by issuing (inside) bonds. All transactions are voluntary, implying no taxation or forced redemption of private debt. We show that any allocation in the economy with inside bonds can be replicated in the economy with outside bonds but that the converse is not true. However, the optimal policy in each economy makes the allocations equivalent.     

THE IMPACT OF POINT‐OF‐SALE DATA INACCURACY AND INVENTORY RECORD DATA ERRORS

The presence or absence of error in point‐of‐sale (POS) data and inventory system records directly affects retailer performance. This study identifies various error sources in retail supply chains and studies the influence of inventory and POS (demand) errors in a simulated retail outlet according to fill rate and average inventory. Other things being equal, we find that inventory record error reduces fill rate more than demand error. This study adds further evidence to other studies that suggest the costs caused by errors in POS systems may be overstated.     

Reliable evacuation planning via demand inflation and supply deflation

This paper presents an evacuation route planning model that both accounts for demand uncertainty (i.e. the number of evacuees) as well as capacity uncertainty (i.e. the road capacities). To ensure reliability, the model plans for more evacuees (i.e. demand inflation) and less road capacity (i.e. supply deflation). A major contribution is that we provide a framework to determine the amount of demand inflation/supply deflation necessary to ensure a user-specified reliability level. The model is shown to be a natural generalization of previously proposed evacuation models. A small numerical case study reveals the key characteristics of the model.     

Click Here for a Data Scientist: Big Data,Predictive Analytics,and Theory Development in the Era of a Maker Movement Supply Chain

Predictive analytics is impacting many diverse areas, ranging from baseball and epidemiology to forecasting and customer relationship management. Manufacturers, retailers, software companies, and consultants are creatively discovering new applications of big data using predictive analytics in supply chain management and logistics. In practice, predictive analytics is generally atheoretical; however, we develop a 2 × 2 model to explain the role of predictive analytics in the theory development process. This 2 × 2 model shows that in our discipline we have traditionally taken one path to theory development, but that predictive analytics can be a salient component of a comprehensive theory development process. The model points to a number of research questions that need to be addressed by our research community. These questions are not just highly relevant to the academic community but also in urgent need of answers to help practitioners execute the right strategies with greater precision and efficiency. We also discuss how one disruptive trend, the maker movement, changes the nature of who the producers are in the supply chain, making big data even more valuable. As we engage in higher levels of dialogue we will be able to make meaningful progress addressing these vital research topics.