Two socioeconomic transformations, namely, the booms in sharing economy and retail e-commerce, lead to prospect where shared mobility of passenger cars prevails throughout urban areas for home delivery services. Logistics service providers as well local governments are need evaluating potentially substantial impacts this mode shift, given their economic objectives environmental concerns. This paper addresses by providing new logistics planning models managerial insights. These characterize...

We study how delivery data can be applied to improve the on-time performance of last-mile services. Motivated by operations and a food service provider, we discuss framework that integrates travel-time predictors with order-assignment optimization. Such integration enables us capture driver’s routing behavior in practice as decision-making process is often unobservable or intricate model. Focusing on problem an example, classes tractable prediction models are highly compatible existing...

Problem definition: Providing fast and reliable delivery services is key to running a successful online retail business. To achieve better time guarantee policy, we study how estimate promise for new customer orders in real time. Academic/practical relevance: Delivery promising critical managing expectations improving satisfaction. Simply overpromising or underpromising undesirable because of the negative impacts on short-/long-term sales. best our knowledge, are first develop data-driven...

We present a novel multiresolution scheme for the detection of spiculated lesions in digital mammograms. First, representation original mammogram is obtained using linear phase nonseparable two-dimensional (2-D) wavelet transform. A set features then extracted at each resolution pyramid every pixel. This approach addresses difficulty predetermining neighborhood size feature extraction to characterize objects that may appear different sizes. Detection performed from coarsest finest binary...

New technologies and innovative business models are leading to connected, shared, autonomous, electric solutions for the tomorrow of urban transport logistics (UTL). The efficiency sustainability these greatly empowered by capability understanding utilizing tremendous amount data generated passengers, drivers, vehicles. In this study, we first review applications in UTL several related research areas operations management (OM)/operations (OR) literature. We then highlight sources, types,...

Band division multiplexing technology is a promising medium-term transitional solution to deal with the traffic flood, by leveraging existing optical fiber transmission infrastructure. Additionally, deployment of multi-band networks requires updating and upgrading key components, such as amplifiers cross-connects. From cost view, it would be way for operators expand capacity on some links high priority, which are used heavily. Therefore, application scenario this paper positioned in C-C+L...

Managing on-time delivery systems is challenging because of the underlying uncertainties and combinatorial nature routing decision. In practice, efficiency such also hinges on driver’s familiarity with local neighborhood. “Provably Good Region Partitioning for On-Time Last-Mile Delivery,” Carlsson et al. study a region partitioning policy to minimize expected time customer orders in stochastic dynamic setting. This assigns every driver subregion, ensuring that drivers are only dispatched...

Problem definition: On-demand delivery has become increasingly popular around the world. Motivated by a large grocery chain store who offers fast on-demand services, we model and solve stochastic dynamic driver dispatching routing problem for last-mile systems where on-time performance is main target. The system operator needs to dispatch set of drivers specify their routes facing random demand that arrives over fixed number periods. resulting program challenging because curse...

Energy Materials is an interdisciplinary international open access, online journal dedicated to communicating recent progresses related materials science and engineering in the field of energy conversion storage. The publishes Articles, Communications, Mini/Reviews Perspectives with original research works focusing on challenges sustainable for future.

The computing power network (CPN) has emerged as a promising networking paradigm in recent times. Since the characteristics of high bandwidth, low delay and reliable communication, optical networks have been identified potential frameworks for establishing CPN infrastructure across metropolitan areas. In areas, owing to demands requests, traffic requests is more likely be burst than others. leads exponential increase loads instantly, which soft failure form overloading breaks tradeoff...

Conventional imaging techniques adopt a rectilinear sampling approach, where finite number of pixels are spread evenly across an entire field view (FOV). Consequently, their capabilities limited by inherent trade-off between the FOV and resolving power. In contrast, foveation technique allocates resources (e.g., or transmission bandwidth) as function foveal eccentricities, which can significantly simplify optical electronic designs reduce data throughput, while observer's ability to see fine...

Problem definition: We study an urban bike lane planning problem based on the fine-grained trajectory data, which are made available by smart city infrastructure, such as bike-sharing systems. The key decision is where to build lanes in existing road network. Academic/practical relevance: As systems become widespread metropolitan areas over world, being planned and constructed many municipal governments promote cycling protect cyclists. Traditional approaches often rely surveys heuristics....

New products are highly valued by manufacturers and retailers due to their vital role in revenue generation. Product life cycle (PLC) curves often vary shapes complicated promotional activities that induce spiky irregular behaviors. We collaborate with JD.com develop a flexible PLC curve forecasting framework based on Bayesian functional regression accounts for useful covariate information, including product attributes promotion. The model treats as target variables includes both scalar...

Owing to the strong protection of data privacy, federated learning (FL) has become a key method for achieving intelligent decision making in smart homes. However, under realistic conditions, such as differentiated requirements and heterogeneous service environments, FL homes faces problem non-independent identically distributed (non-IID) uneven computing power, which leads poor adaptability global models. To address this issue, study proposes cluster architecture based on edge-cloud...

In “Joint Inventory and Pricing for a One-Warehouse Multistore Problem: Spiraling Phenomena, Near Optimal Policies, the Value of Dynamic Pricing,” Lei, Liu, Jasin, Vakhutinsky consider joint inventory pricing problem with one warehouse multiple stores lost sales. The retailer makes one-time decision on amount to be placed at beginning selling season, followed by periodic replenishment decisions each store throughout season. authors first analyze performance two popular simple heuristic...

An automatic road extraction method for vague aerial images is proposed in this paper. First, a high-resolution but low-contrast image enhanced by using Retinex-based algorithm. Then, the segmented with an improved Canny edge detection operator that can automatically threshold into binary image. Subsequently, linear and curved segments are regulated Hough line transform extracted based on several thresholds of size shapes, which number morphological operators used such as thinning...

Statistical quality control in semiconductor manufacturing hinges on effective diagnostics of wafer bin maps, wherein a key challenge is to detect how defective chips tend spatially cluster wafer--a problem known as spatial pattern recognition. Recently, there has been growing interest mixed-type recognition--when multiple defect patterns, different shapes, co-exist the same wafer. Mixed-type recognition entails two central tasks: (1) filtering, distinguish systematic patterns from random...

Oysters are an important aquaculture species distributed worldwide, including in Zhejiang Province, located on the east coast of China. Because high diversity and complicated introduction history oysters their seedlings, there has been much disagreement regarding origin each species, dominant indigenous remain unclear. We sampled 16 batches from seven sites three bays found two main oyster Crassostrea sikamea angulata . The former occupied higher intertidal zone comprised more than 70%...