Demand Management for Attended Home Delivery – A Literature Review

Waßmuth, Katrin; Köhler, Charlotte; Agatz, Niels; Fleischmann, Moritz

doi:10.2139/ssrn.4055952

Cited by 6 publications

(6 citation statements)

References 75 publications

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“…van der Hagen et al [38] call this the order threshold per time slot (OTTS) strategy as it sets a threshold on the number of requests to accept for each time window. Waßmuth et al [41] classify this as an approximate technique, as it can overestimate the acceptance capacity and thus lead to overutilization of resources. This will cause delivery delays, overtime expenses, etc.…”

Section: Attended Home Deliveriesmentioning

confidence: 99%

“…Hence, it is common that customers and service providers mutually agree on delivery time windows, which is usually done via an online interface at the time of booking in an order capture process. Waßmuth et al [41] provide a recent review of literature related to the carriers' operational decision problem of offering time windows to requesting customers.…”

Section: Literature Reviewmentioning

confidence: 99%

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Collaborative transportation for attended home deliveries

Elting,

Ehmke,

Gansterer

2024

Networks

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Attended home deliveries (AHDs) are characterized by dynamic customer acceptance and narrow customer‐specific delivery time windows. Both impede efficient routing and thus make AHDs very costly. In this article, we explore how established horizontal collaborative transportation planning methods can be adapted to render AHDs more efficient. The general idea is to enable request reallocation between multiple collaborating carriers after the order capture phase. We use an established centralized reallocation framework that allows participating carriers to submit delivery requests for reallocation. We extend this framework for AHD specifics such as the dynamic arrival of customer requests and information about delivery time windows. Using realistic instances based on the city of Vienna, we quantify the collaboration savings by solving the underlying routing and reallocation problems. We show that narrow time windows can lower the savings obtainable by the reallocation by up to 15%. Therefore, we suggest enhancing the decision processes of request selection and request bundling using information about delivery time windows. Our findings demonstrate that adapting methods of request selection and bundle generation to environments with narrow time windows can increase collaboration savings by up to 25% and 35%, respectively in comparison to methods that work well only when no time windows are imposed.

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Section: Attended Home Deliveriesmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Collaborative transportation for attended home deliveries

Elting,

Ehmke,

Gansterer

2024

Networks

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“…Responsible consumers can reduce CO2 emissions by being present for deliveries and using convenient collection points (Nanayakkara et al, 2022;Waßmuth et al, 2023). Urban areas offer multi-brand parcel lockers that consolidate deliveries and minimize transportation emissions (Ghaderi et al, 2022;Lachapelle et al, 2018).…”

Section: The Responsible Consumersmentioning

confidence: 99%

Pioneering Eco-Cart: Carbon Reduction Solutions for Thai Online Shoppers

Ut-Tha

2023

Management &Amp; Marketing

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This research aims to identify effective strategies for reducing carbon emissions in online shopping by examining the perspectives of Thai consumers and utilizing sociodemographic data to anticipate their choices for carbon mitigation. The study encompasses eco-logistics, last-mile innovations, and responsible consumer behavior. Data collected from a questionnaire gathered responses from 800 participants across diverse regions, resulting in a 96.50% response rate. Using a multinomial logit model in Stata 15, the analysis reveals factors influencing consumer decisions. Eco-logistics is the preferred choice for 35.74% of individuals aiming to reduce carbon emissions from online shopping. Regular purchases of clothing and shoes correlate with a 46% higher likelihood of selecting eco-logistics, while responsible purchasing shows a 33.03% adoption rate. Last-mile innovations, chosen by 31.23%, appeal to higher-income individuals, while women, older age groups (46+), and those with higher education lean toward eco-logistics. Higher education enhances responsible purchasing, influenced by critical thinking, income, and professional networks. Additionally, suburban consumers prefer eco-logistics due to longer distances, while urban residents opt for last-mile innovations. Addressing these challenges facilitates environmentally conscious practices in the e-commerce supply chain, providing insights for policymakers and businesses to formulate sustainable and equitable strategies.

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“…Further, they provide a comprehensive survey of general solution concepts and describe solution approaches for all involved subproblems, i.e., demand-management-related subproblems and tour-planning-related subproblems. Another holistic survey is Waßmuth et al (2022) . The authors review recent literature dealing with demand management in home delivery on the strategic, tactical and operational level and specifically differentiate between the two demand-management levers offering and pricing .…”

Section: Appendix B Tabular Overview Of Anticipatory Solution Approac...mentioning

confidence: 99%