Peer-to-peer transportation platforms dynamically match requests (e.g., a ride, delivery) to independent suppliers who are not employed nor controlled by the platform. Thus, platform cannot be certain that supplier will accept an offered request. To mitigate this selection uncertainty, can offer each menu of choose from. Such menus need created carefully because there is trade-off between probability and duplicate selections. In addition complex decision space, decisions vast have systematic...

An automated storage/retrieval system with multiple in-the-aisle pick positions is a semi-automated case-level order fulfillment technology that widely used in distribution centers. We study the impact of product to position assignments on expected throughput for different operating policies, demand profiles, and shape factors. develop efficient algorithms complexity O(nlog(n)) provide assignment minimizes travel time. Also, configurations, curves, we explore structure optimal products...

On-demand warehousing platforms match companies with underutilized warehouse and distribution capabilities customers who need extra space or services. These new business models have unique advantages, in terms of reduced capacity commitment granularity, but also different cost structures compared traditional ways obtaining capabilities. This research is the first quantitative analysis to consider network strategies given advent on-demand warehousing. Our multi-period facility location model...

An automated storage and retrieval system with multiple in-the-aisle pick positions (MIAPP-AS/RS) is a case-level order fulfillment technology that enables picking via (outputs) located in the aisle. This article develops expected travel time models for different operating policies physical configurations. These can be used to analyze MIAPP-AS/RS throughput performance during peak non-peak hours. Moreover, closed-form approximations are derived case of an infinite number positions, which...

Omni‐channel services, such as buy‐online‐pick‐up‐from‐store, transfer the in‐store logistics once completed by shoppers to retailers. To cost‐effectively meet high demands for pickup we introduce a crowdsourced order‐fulfillment policy that deploys customers pick items online orders while completing their own personal shopping. As opposed existing store fulfillment policies, this new concept utilizes help, not constrain, dedicated pickers. Empirical data indicate percentage of surveyed...

An A-frame system is a highly automated piece-level order-fulfillment technology. A systematic analysis performed in this article order to understand the design decisions of using an distribution center. math-programming-based approach determine amount infrastructure investment presented along with assignment and allocation Stock Keeping Units (SKUs) A-frame. Then throughput considerations are explicitly considered by developing analytical models for heuristics adjust SKUs meet constraint....

Abstract Warehouse automation is increasingly adopted to manage throughput fluctuations in e‐commerce order fulfillment. This work develops queuing network models and solution methodologies for performance analysis of a stock‐to‐picker system that connects an upstream automated storage downstream pick station. We focus on the station process, quantifying differences between employs static versus dynamic batching strategy. consider waveless release environment where item totes are requested...