The Future of Retail Operations

Retailing consists of all the activities associated with the selling of goods to the final consumer. In this article, we review the research on retail operations published in Manufacturing & Service Operations Research (M&SOM) since 1999. We then discuss the current retail landscape and the new research directions it offers, in which M&SOM can play a prominent role

CONVENIENCE STORE PRACTICES AND PROGRESS WITH EFFICIENT CONSUMER RESPONSE: THE MINNESOTA CASE

The adoption of Efficient Consumer Response (ECR) practices by Minnesota convenience store (C- store) is explained in this study. Data were collected through a mail survey distributed to more than 250 Minnesota C-stores ranging in size from single, independently owned stores to over 100 store chains. The survey instrument was developed to collect data on the following components important to C-store operations and the implementation of ECR: information systems, ordering, receiving, inventory management, and pricing practices. Findings are presented from three distinct perspectives: 1. Location: Rural C-stores, which often meet customer needs that were once met by small supermarkets, carried a wider range of products and offered more services than C-stores in urban and suburban locations. However, rural stores had the lowest adoption rate for practices related to the ECR initiative. Urban chains coordinated business practices with suppliers to a greater degree than suburban and rural chains. 2. Chain size: Larger chains were more likely to have implemented the more costly technological practices than were small chains. This was expected since large chains can spread the fixed costs of ECR adoption over a larger number of stores. Larger chains also cooperated and communicated more with their suppliers than small chains. Again, this was expected, since larger chains can economize on transaction costs involved in maintaining these business relationships. 3. ECR practices: ECR adoption and superior performance were positively related. Having adopted six to nine practices was positively correlated with higher inside and outside sales per square foot of selling area and higher annual inventory turns. However, it was not clear whether there was a causal relationship in either direction between ECR practices and store performance. The C-store industry is changing, as new information technologies, new business practices, and new retail strategies are developed. The results from this survey can serve as a baseline for future research monitoring the adoption of these innovations and assessing their impact on productivity and profitability. Minnesota C-Stores appear to be smaller but more productive than the national average. Overall, it appears ECR is just beginning to impact the Minnesota C-store industry. Nonetheless, regression analyses confirmed ECR practices are positively related to store sales performance and those stores adopting the most practices had higher productivity measures.Industrial Organization, Marketing,

Stochastic make-to-stock inventory deployment problem: an endosymbiotic psychoclonal algorithm based approach

Integrated steel manufacturers (ISMs) have no specific product, they just produce finished product from the ore. This enhances the uncertainty prevailing in the ISM regarding the nature of the finished product and significant demand by customers. At present low cost mini-mills are giving firm competition to ISMs in terms of cost, and this has compelled the ISM industry to target customers who want exotic products and faster reliable deliveries. To meet this objective, ISMs are exploring the option of satisfying part of their demand by converting strategically placed products, this helps in increasing the variability of product produced by the ISM in a short lead time. In this paper the authors have proposed a new hybrid evolutionary algorithm named endosymbiotic-psychoclonal (ESPC) to decide what and how much to stock as a semi-product in inventory. In the proposed theory, the ability of previously proposed psychoclonal algorithms to exploit the search space has been increased by making antibodies and antigen more co-operative interacting species. The efficacy of the proposed algorithm has been tested on randomly generated datasets and the results compared with other evolutionary algorithms such as genetic algorithms (GA) and simulated annealing (SA). The comparison of ESPC with GA and SA proves the superiority of the proposed algorithm both in terms of quality of the solution obtained and convergence time required to reach the optimal/near optimal value of the solution

ADOPTION OF ECR PRACTICES IN MINNESOTA GROCERY STORES

Efficient Consumer Response (ECR) is an industry-wide, collaborative initiative to re-engineer the grocery supply chain. This report presents findings from a study of ECR adoption in Minnesota grocery stores. Data were collected through interviews with managers of forty stores that are broadly distributed over store sizes, locations, and organizational forms. The interviews focused on business practices and technologies related to inventory management and ordering, shelf-space allocation and product assortment decisions, and product pricing and promotions. Findings are presented from three distinct perspectives: (1) stores grouped by location (metro and out- state), (2) stores grouped by organizational form (corporate chain, independent chain, and single store), and (3) stores grouped by levels of an ECR "readiness index" that indicates the level of adoption for key business practices and technologies that support ECR initiatives. The following general conclusions can be drawn from the detailed results presented in this report. 1. Location in the Twin Cities metropolitan area makes an important difference in implementing some components of the ECR initiative. On average, metro and out-state stores differ little with respect to store size or the adoption of technologies that support ECR. Metro stores are much more likely than out-state stores, however, to coordinate shelf space and product assortment decisions and pricing and promotion activities with outside trading partners. 2. On average, stores that are part of a chain, especially a large corporate chain, are making faster progress toward implementation of ECR initiatives than are single stores. However, three independently owned single stores were also among the most innovative of those we visited. In these stores, it appears that a visionary, energetic owner/manager is able to quickly respond to new opportunities. 3. ECR adoption and superior performance are closely associated. Stores with a high ECR "readiness index" have much higher sales per labor hour, sales per square foot, and annual inventory turns. We cannot determine whether ECR readiness leads to better performance or better performance makes it easier to adopt business practices and technologies that support ECR. We can conclude, however, that competitive forces will almost certainly drive more stores toward adoption of a wider range of technologies and business practices that support the ECR initiative. In summary, ECR is changing the way Minnesota grocers do business, and adopting ECR practices goes hand-in-hand with better financial performance. Findings from this study suggest that stores of any size and organizational form that are willing and able to adopt new technologies, to develop cooperative relationships with their trading partners, and to respond to the unique needs of their customers will increase their chance of success in this competitive market.Agribusiness, Industrial Organization, Land Economics/Use,

Beyond promotion-based store switching: Antecedents and patterns of systematic multiple-store shopping (revised version).

In this paper, we demonstrate both theoretically and empirically that single-purpose multiple store shopping is not only driven by opportunistic, promotion-based motivations, but may also result from a longer term planning process based on stable store characteristics. We find that consumers may systematically visit multiple stores to take advantage of two types of store complementarity. In the case of 'fixed cost complementarity', consumers alternate visits to high and low fixed cost stores to balance transportation and holding costs against acquisition costs. 'Category preference complementarity' occurs when different stores offer the best value for different product categories, and may induce consumers to visit these stores together on combined shopping trips. In both cases, multiple store shopping leads to a shift from share-of-customers to share-of-wallet retail competition.Multiple store shopping; Spatial competition; Store choice; Planning; Processes; Characteristics; Complementarity; Cost; Costs; Category; Preference; Value; Product; Shopping trip; Competition; Choice; Patterns;

Using Transaction Utility Approach for Retail Format Decision

Transaction Utility theory was propounded by Thaler to explain that the value derived by a customer from an exchange consists of two drivers: Acquisition Utilities and Transaction utilities. Acquisition utility represents the economic gain or loss from the transaction. Where as transaction utility is associated with purchase or (sale) and represents the pleasure (or displeasure) of the financial deal per se and is a function of the difference between the selling price and the reference price. Choice of a format has been studied from several dimensions including the cost and effort as well as the non-monetary values. However, the studies that present the complete picture and combine the aspects of the tangible as well as intangible values derived out of the shopping process are limited. Most of the studies, all of them from the developed economies, have focussed on the selection of a store. They represent a scenario where formats have stabilised. However, in Indian scenario formats have been found to be influencing the choice of store as well as orientation of the shoppers. Also, retailers are experimenting with alternate format with differing success rates. The author has also not found a study that has applied this theory. It is felt that the Transactional Utility Theory may provide a suitable approach for making format decisions.

Minimizing food waste in grocery store operations: literature review and research agenda

Research on grocery waste in food retailing has recently attracted particular interest. Investigations in this area are relevant to address the problems of wasted resources and ethical concerns, as well as economic aspects from the retailer’s perspective. Reasons for food waste in retail are already well-studied empirically, and based on this, proposals for reduction are discussed. However, comprehensive approaches for preventing food waste in store operations using analytics and modeling methods are scarce. No work has yet systematized related research in this domain. As a result, there is neither any up-to-date literature review nor any agenda for future research. We contribute with the first structured literature review of analytics and modeling methods dealing with food waste prevention in retail store operations. This work identifies cross-cutting store-related planning areas to mitigate food waste, namely (1) assortment and shelf space planning, (2) replenishment policies, and (3) dynamic pricing policies. We introduce a common classification scheme of literature with regard to the depth of food waste integration and the characteristics of these planning problems. This builds our foundation to review analytics and modeling approaches. Current literature considers food waste mainly as a side effect in costing and often ignores product age dependent demand by customers. Furthermore, approaches are not integrated across planning areas. Future lines of research point to the most promising open questions in this field

Modeling an integrated market for sawlogs, pulpwood and forest bioenergy

Traditionally, most applications in the initial stage of forest supply chain deal with sawlogs to sawmills, pulpwood to pulp or paper mills and forest residues to heating plants. However, in the past decades, soaring prices of fossil fuel, global awareness about CO2 emission and increasing attention to domestic resource security have boosted the development of alternative renewable energy, among which forest bioenergy is the most promising and feasible choice for medium- and large-scale heating and electricity generation. Different subsidies and incentive policies for green energy further promote the utilization of forest bioenergy. As a result, there is a trend that pulpwood may be forwarded to heating plants as complementary forest bioenergy. Though pulpwood is more expensive than forest residues, it is more efficient to transport and has higher energy content. The competition between traditional forest industries and wood-energy facilities, expected to grow in the future, is very sensitive for the forest companies as they are involved in all activities. In this paper, we develop a model that all raw materials in the forest, i.e. sawlogs, pulpwood and forest residues, and byproducts from sawmills, i.e. wood chips and bark, exist in an integrated market where pulpwood can be sent to heating plants as bioenergy. It represents a multi-period multi-commodity network planning problem with multiple sources of supply, i.e. pre-selected harvest areas, and multiple kinds of destination, i.e. sawmills, pulp mills and heating plants. The decisions incorporate purchasing the raw materials in harvest areas, reassigning byproducts from sawmills, transporting those assortments to different points for chipping, storing, wood-processing or wood-fired, and replenishing fossil fuel when necessary. Moreover, different from the classic wood procurement problem, we take the unit purchasing costs of raw materials as variables, on which the corresponding supplies of different assortments linearly depend. With this price mechanism, the popularity of harvest areas can be distinguished. The objective of the problem is to minimize the total cost for the integrated market including the purchasing cost of raw materials. Therefore, the model is a quadratic programming (QP) problem with a quadratic objective function and linear constraints. A large case study in southern Sweden under different scenario assumptions is implemented to simulate the integrated market and to study how price restriction, market regulation, demand fluctuation, policy implementation and exogenous change in price for fossil fuel will influence the entire wood flows. Pair-wise comparisons show that in the integrated market, competition for raw materials between forest bioenergy facilities and traditional forest industries pushes up the purchasing costs of pulpwood. The results also demonstrate that resources can be effectively utilized with the price mechanism in supply market. The overall energy value of forest bioenergy delivered to heating plants is 23% more than the amount in the situation when volume and unit purchasing cost of raw materials are fixed.Forest supply chain; integrated market; bioenergy; wood procurement; wood distribution; quadratic programming