Consistency and Recovery in Retail Supply Chains

Practitioners and researchers describe inventory service level with metrics that communicate the likelihood of demand fulfillment without considering the ongoing capabilities of the supplier, for example, in‐stock and fill rate. We develop a method for measuring inventory service level that incorporates such supplier capabilities, namely consistency (the ability of a supplier to fulfill orders repeatedly) and recovery (the ability of a supplier to fulfill orders after a lapse in service). Using data from two retail supply chains, we illustrate our approach. To demonstrate the impact of consistency and recovery on supply chain performance, we model a retailer purchasing from competing suppliers with different levels of consistency and recovery. The model incorporates the retailer's uncertainty about demand and the retailer's uncertainty about its suppliers' service levels. We characterize how the retailer's orders and profitability change with a supplier's delivery performance through numerical experiments calibrated with field data. We find notable differences in market share across suppliers with similar traditional inventory service level metrics but differences in consistency and recovery. Further, we observe that a retailer can increase its profitability by determining orders via consistency and recovery in lieu of common metrics like in‐stock. Given the influence of consistency and recovery on supply chain outcomes, we discuss implications for practice and future research.     

CONSUMER DIRECT FULFILLMENT PERFORMANCE IN INTERNET RETAILING: EMERGENCY TRANSSHIPMENTS AND DEMAND DISPERSION

The collaborative fulfillment of consumer orders by Internet retailers and wholesalers has proven important in the realization of sustainable levels of online profitability. Concentrating on consumer direct fulfillment (or drop shipping), an empirical simulation model evaluates avenues for improving logistical performance. The empirical simulation model centers on the online music CD retailing industry. It evaluates the effects of emergency transshipments and demand dispersion on inventory and product‐release performance, as well as on transportation costs, in consumer direct fulfillment operations. Results show that emergency transshipments improve inventory and product‐release performance in these operations. Furthermore, the inventory‐performance improvements are maximized when inventory facilities fulfill demand that is uniformly balanced across markets primarily assigned to each facility. Finally, gains in inventory and release performance obtained from emergency transshipments outweigh additional transportation costs incurred from a greater reliance on emergency transshipments for consumer direct fulfillment.     

EXPRESSING INVENTORY CONTROL POLICY IN THE TURNOVER CURVE

Estimation of the inventory level for an entire class of items is a valuable time saver when control of inventories at the aggregate level, rather than the item level, is of interest. Inventory approximation by location in supply chain network configuration and evaluation of inventory control policy shifts, are two examples of application. In this article, various popular inventory policies are related to a general function known as an inventory turnover curve that expresses inventory levels from the combined demand of multiple items. By knowing some basic item characteristics of representative items in a product class, the type of inventory policy being used, and the current aggregate inventory level, an inventory turnover curve can be constructed. This resulting turnover curve can be used to estimate inventory levels within 4.6%, on the average, of theoretically predicted ones.     

INTERNET RETAILING INTERMEDIATION: A MULTILEVEL ANALYSIS OF INVENTORY LIQUIDITY AND FULFILLMENT GUARANTEES

Internet retailers intermediate online markets by setting prices, matching wholesalers' supply with consumers' demand, affording inventory liquidity, and meeting fulfillment guarantees to consumers. Little attention has been given to studying the two latter intermediation functions. To fill this research gap, this study examined a sample of 25 mainstream online retailers in some 704 transactions with consumers. The study evaluates the inventory liquidity and the fulfillment guarantees these Internet retailers provide to consumers. Furthermore, it presents a path‐analysis model, which suggests that retailers coordinate their actual and promised inventory‐liquidity and delivery performance to satisfy the fulfillment guarantees made to consumers. Moreover, the results show that key transactional attributes (i.e., the net price and the number of items fulfilled) commonly present in Internet markets and visible to all market participants impact both the levels of inventory liquidity and the delivery performance of the transactions between consumers and Internet retailers.     

需求不确定条件下基于调货中心的供应链库存模型

在需求不确定的条件下,由制造商设立调货中心,建立共享安全库存来代替各销售商的安全库存是一种有效的供应链库存模式。它运用基于调货中心的供应链库存模型能够在保证顾客服务水平不变的条件下进一步降低供应链库存总成本,并能在一定程度上抑制牛鞭效应的产生。     

供应商管理库存对供应链收益的影响机理研究

供应商管理库存模式作为一种供应链环境下的库存运作模式,突破了传统的条块分割的库存管理模式,以系统化、集成化的思想实施库存管理,能够提升供应链的整体竞争力。供应商管理库存模式是一种以供应链各环节企业都能实现最低成本为目的,在一个共同协议下由供应商管理库存,不断监督协议执行情况并修正协议内容,使库存管理得以持续改进的合作性策略,具有合作性、互利性、协议性、连续改进性等特点。实施供应商管理库存模式,可以降低零售商和供应链整体的库存成本,增加二者的收益水平。尽管在实施初期,可能会导致供应商库存成本的增加以及收益的减少,但从长期来看,由于供应商对库存的专业化管理以及零售商将更多资源用于商品的市场营销活动之中,可以有效扩大商品的市场销售规模,降低库存管理成本,从而最终提高供应商收益水平。     

Supply Chain Networks With Multiple Retailers: A Test of the Emerging Theory on Inventories,Stockouts, and Bullwhips

While various approaches to mitigating the bullwhip effect have been proposed, the composition of the underlying supply chain is often taken for granted. This article develops a set of simulation models to investigate changes to the supply chain itself and their impact on the bullwhip effect, on‐hand inventory, and stockouts. It is shown that particular supply chain networks have an impact on the bullwhip effect. Furthermore, the impact of supply chain networks on the bullwhip effect is moderated by the demand forecasting technique used. Finally, supply chain networks, forecasting techniques, and their interactions are found to influence on‐hand inventory levels and stockout rates for firms within the supply chain. Results also suggest that no one particular type of supply chain network dominates in terms of dampening the bullwhip effect, lowering on‐hand inventory levels, or reducing stockout rates. The optimal network depends on the forecasting technique used and other supply chain factors.     

Implementation of a System Approach for Enhanced Supply Chain Continuity and Resiliency: A Longitudinal Study

Researchers and practitioners frequently point to inventory as a necessary component of an effective supply chain strategy. However, an undisciplined or ineffective approach to inventory can have a detrimental impact on an organization and its entire supply chain. When making inventory decisions, firms must ensure that the selected approach “fits” the overall supply chain strategy. While such an assertion seems intuitive, there is a need for empirical validation. We seek to contribute to this important body of research by investigating the impact of improved strategic alignment of inventory on resiliency and continuity. More specifically, we investigate the impact of improved strategic fit by comparing two distinct approaches to inventory management within a service parts environment. We hypothesize that a well‐aligned approach to inventory management can enhance continuity and resiliency. We test these hypotheses via a longitudinal field study involving 10 United States Air Force (USAF) locations and two years of data (approximately 650,000 inventory transactions). Results from nine test locations and one control location suggest that a well‐aligned approach to inventory management is indeed effective in improving continuity and resiliency, thus enhancing service‐based strategies—in this case, the USAF's ability to be mission‐capable. While the results of the study are derived from the USAF, we believe the implications provide broader insight into the use of inventory as a means of realizing a strategic fit.     

STRATEGIC INVENTORY OPTIMIZATION

A company's inventory metrics are often viewed as critical indicators of its supply chain performance although inventory costs are only a fraction of total supply chain costs comprised of supplier, manufacturing, transportation, and warehousing costs, as well as inventory costs. Moreover, inventories across the supply chain are dependent on acquisition and distribution decisions. We discuss how simulation and optimization models can be combined to integrate analysis of inventory and supply chain network design decisions in performing a total cost analysis. An application of the models to plans for distributing retail products to an expanding network of stores is reviewed.     

How inventory management systems mistreat retail project quantity items and other bimodally distributed products

To insure appropriate inventory levels in retail outlets, replenishment managers concern themselves with both timing of shipments and quantity of product available within the store. While organizations regularly use inventory management or enterprise resource planning systems to procure inventories, we find that these systems can incorrectly manage a sizable group of products found within retail organizations. To illustrate, we explore a collection of goods called retail project quantity items, subsequently explaining how customers purchase and use these items in a fashion that leads to a bimodal distribution of demand. We then employ simulations to demonstrate how the use of a bimodal lead-time demand distribution, rather than a normal or Poisson distribution, improves respective product service levels. Based on these results, we offer a modified reorder point heuristic and discuss how inventory managers should alter existing replenishment processes to insure sufficient stocks of retail project quantity items. Lastly, we discuss broader implications for inventory management systems and bimodally distributed products.     

Strategic supply chain choices for multi-channel Internet retailers

Multi-channel retailing—selling through multiple, distinct channels—has been a part of the retail industry as long as there have been main street merchants selling through catalogs. Since the mid-1990s, however, multi-channel retailing has increased dramatically due to traditional retailers selling over the Internet. This trend presents considerable operational challenges because Internet and traditional retail have vastly different demand drivers, product variety issues, optimal inventory configurations, cost structures, supply chain structures, and delivery mechanisms. Consequently, the optimal supply chain configuration for Internet delivery differs considerably from the optimal supply chain configuration for a retail store structure, so designing a supply chain system to serve both channels well is difficult. Accordingly, a set of strategic choices and trade-offs must be made. Here, we present some strategic alternatives.     

Inventory Types and Firm Performance: Vector Autoregressive and Vector Error Correction Models

The effects of inventory management on firm performance have been well documented. Most previous research, however, has focused on the performance effects of total inventories and has ignored the potentially differential performance effects of raw materials, work‐in‐process, and finished goods inventories. This research investigates the effects of various inventory types on firm performance. The empirical analyses of data from U.S. manufacturing industries reveal that the magnitude of the inventory–performance relationship varies by type of inventory and across industries. Specifically, raw materials inventories have a greater impact on firm performance than work‐in‐process and finished goods inventories. As a possible explanation, intertemporal interactions among these inventory types are explored using vector autoregressive and vector error correction models. The results suggest that raw materials and finished goods inventories asymmetrically affect each other over time. Implications for research and practice as well as future research opportunities are discussed.     

The Internet of Things (IoT) in retail: Bridging supply and demand

A sales channel serves two primary functions: delivering information and products to customers. Omnichannel retailing allows for the decoupling of these two functions as consumers can learn about products through channels that differ from those used to purchase them. This separation requires a sophisticated inventory and supply chain operation, as well as integration of all customer touchpoints, in order to match fast-moving supply and demand. The Internet of Things (IoT) can play a fundamental role in channel integration because it allows companies to rebalance supply and demand. We classify IoT initiatives on an opportunity map, presenting a strategic framework that distinguishes initiatives by the value they create and by their major area of impact. We justify the adoption of IoT in terms of its enabling capabilities—those immediately realized by deploying IoT sensor data—but its true potential resides in its enhancing capabilities—unanticipated benefits following IoT adoption—at the intersection of supply and demand.     

Hurry! Sale Ends Soon: The Impact of Limited Inventory Availability Disclosure on Consumer Responses to Online Stockouts

A prevalent challenge for online retail supply chain managers is maintaining and managing adequate inventory levels to support and fulfill consumer orders and purchases. Interestingly, this challenge is not only about maintaining inventory availability, but also how to effectively disclose and communicate inventory availability, particularly if a stockout occurs. This article investigates a conceptual model that explores the impact of online inventory availability disclosure on consumer perceptions in the context of a stockout. Based on expectation disconfirmation theory, the core of the model is the notion that limited inventory availability would stimulate expected consumer competition, which in turn, causes consumers to not be as negatively impacted by stockouts. Contrary to this prediction, however, the results of this experimental study show that consumers are actually more dissatisfied when low inventory availability items are out‐of‐stock. This is likely due to the combined impacts of a stockout encounter and a “loss” of a competitive shopping scenario. Thus, implications of these findings for future research and supply chain practice are offered accordingly.     

Just‐in‐Time Retail Distribution: A Systems Perspective on Cross‐Docking

Cross‐docking is a just‐in‐time strategy for distribution logistics. It is aimed at reducing inventory levels and distribution lead times by creating a seamless flow of products from suppliers to customers. Prior supply chain literature has argued that creating such a seamless product flows requires a holistic view on cross‐docking management, aimed at synchronizing cross‐docking operations at the distribution center with its inbound and outbound network logistics. This paper provides an in‐depth case study illustrating how cross‐docking operations can be managed more holistically in a retail distribution context. A discrete event simulation model has been developed to understand and improve the cross‐docking operations of a large grocery retailer in the Netherlands. The model is used to quantitatively evaluate two proposed changes that exploit opportunities in the design and control of the retailer's distribution network. An extensive real‐world data set is used as input to the model. Overall, the case and simulation results show that a holistic cross‐docking management approach can indeed improve system‐wide performance, which further stresses the importance of making cross‐dock operational decisions making and network decisions together.     

SUPPLY CHAIN INFORMATION SHARING IN A VENDOR MANAGED INVENTORY PARTNERSHIP

Vendor Managed Inventory (VMI) involves the vendor making the replenishment decision for products supplied to a customer based on various inventory and supply chain policies. Information sharing between supply chain members is required in VMI. Sometimes VMI decisions are delayed and/or the information shared is inaccurate. This research examines the effects of information delay and accuracy, and the sharing of sales and forecast information in a VMI environment facing stationary and nonstationary demand. The simulation experiments show the impact of information delay, information inaccuracy, and information sharing on a variety of performance measures, including inventory levels and fill rates.     

MODELING LEAN,AGILE, AND LEAGILE SUPPLY CHAIN STRATEGIES

The merits of lean and agile supply chain strategies have been much debated among practitioners and academics. While these strategies are often viewed as opposites, this research supports the view that they must not necessarily compete and can, in fact, be employed simultaneously through a so‐called “leagile” approach. Lean, agile, and leagile strategies are illustrated by modeling their respective applications at a tier‐1 supplier to the Heating, Ventilating, and Air‐Conditioning (HVAC) industry. Simulation analyses indicate that the lean system excels in customer service performance while the leagile system results in lower enterprise‐wide inventory levels under modeled circumstances. Subsequent analysis suggests that trade‐offs exist among the systems in the base case and under varying cost conditions.     

CUSTOMER SERVICE IN THE INTERNET‐ENABLED LOGISTICS SUPPLY CHAIN: WEBSITE DESIGN ANTECEDENTS AND LOYALTY EFFECTS

This article extends the existing research on logistics customer service‐loyalty relationships to the online logistics supply chain environment by examining potential website determinants of logistics customer service quality. A structural equation analysis of 373 online shopping transactions suggests that perceived quality of all logistics customer service activities (perceived cycle time, in‐stock availability, and customer responsiveness) varies inversely with: (1) perceived ease of use, and (2) content vividness of the website; and positively with product information content. However, only retailer customer responsiveness assessment was found to have any significant influence on consumer intended loyalty behavior in Internet‐enabled supplies chains.