Research limitations/implications – The research lends insight into how web sites influence last-mile supply chain efficiency via differing learning rates in the order cycle. However, significant differences exist between web sites, and a portion of the ordering time may be irreducible. the first few orders involve substantial learning). Findings – The evidence supports various forms of power-law learning for web-based ordering (i.e. Design/methodology/approach – The paper analyzes empirical data using nonlinear regression from seven firms and over 4,000 customers to examine how order time – an important performance metric – changes within an online grocery ordering environment. The purpose of this paper is to focus on customer order cycle efficiency gains through the "learnability" of web sites. Purpose – As companies extend supply chains via direct delivery to consumers, supply chain efficiency depends upon the usability of the online ordering system. The paper offers insights into the carbon footprints of conventional and online retailing from a “last mile” perspective. maximising drop densities and increasing the use of electric vehicles) to enhance the CO 2 efficiency of their logistical operations and gain a clearer environmental advantage.īoth consumers and suppliers need to be made more aware of the environmental implications of their respective purchasing behaviour and distribution methods so that potential CO 2 savings can be made. Online retailers and home delivery companies could also apply measures (e.g. The number of items purchased per shopping trip, the choice of travel mode and the willingness to combine shopping with other activities and to group purchases into as few shopping trips or online transactions as possible are shown to be critical factors. Nevertheless, CO 2 emissions per item for intensive/infrequent shopping trips by bus could match online shopping/home delivery.
Overall, the research suggests that, while neither home delivery nor conventional shopping has an absolute CO 2 advantage, on average, the home delivery operation is likely to generate less CO 2 than the typical shopping trip. Allowance has been made for home delivery failures, “browsing” trips to the shops and the return of unwanted goods. Official government data, operational data from a large logistics service provider, face‐to‐face and telephone interviews with company managers and realistic assumptions derived from the literature form the basis of the calculations. Several last mile scenarios are constructed for the purchase of small, non‐food items, such as books, CDs, clothing, cameras and household items. deliveries of goods from local depots to the home) and personal shopping trips. The purpose of this paper is to focus on the carbon intensity of “last mile” deliveries (i.e. The possible additional value to customers and overall suitability to the market must also be considered. Both concepts proved to be feasible but which one works better is not only a question of financial justification. The operational cost savings are compared to the respective investments required to calculate the payback period. The cost savings in transportation are analysed using simulation. This article assesses these two different concepts. The reception box concept results in more effective home delivery transportation and the delivery box concept in smaller investment to achieve unattended receipt.
The delivery box is an insulated secured box equipped with a docking mechanism. The reception box is a refrigerated, customer-specific reception box installed at the customer’s garage or home yard. The two main approaches to unattended delivery are the reception box concept and the delivery box concept. Unattended delivery has not been widely used because it requires investments and commitment from the customer. The authors’ simulations suggest that the unattended reception of goods reduce home delivery costs considerably, by up to 60 percent. Particularly in electronic grocery shopping it is difficult to combine profitability and high service level. One of the biggest challenges in B2C e-commerce is the so-called “last mile”, the home delivery service for the customer.
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