Order picking is a warehouse function dealing with the retrieval of articles from their storage location in order to satisfy a given demand specified by customer orders. Of all warehouse operations, order picking is considered to include the most cost-intensive ones. Even though there have been different attempts to automate the picking process, manual order picking systems are still prevalent ...

We study the problems of scheduling jobs, with different release dates and equal processing times, on two types of batching machines. All jobs of the same batch start and are completed simultaneously. On a serial batching machine, the length of a batch equals the sum of the processing times of its jobs and, when a new batch starts, a constant setup time s occurs. On a parallel batching machine,...

Marcus et al. (2011) describe using Amazon’s Mechanical Turk (MTurk) systems utilizing crowds for database sorts and joins. Crowdsourcing activities for these types of queries are typical costly in order to ensure accuracy and reliability. The authors present an interface for optimizing these functions in order to determine cost-effectiveness of various methods (simple join, naïve batching, and...

We study the problem of minimizing the average of a large number of smooth convex functions penalized with a strongly convex regularizer. We propose and analyze a novel primal-dual method (Quartz) which at every iteration samples and updates a random subset of the dual variables, chosen according to an arbitrary distribution. In contrast to typical analysis, we directly bound the decrease of th...

Savings in the number of page accesses due to batching on sequential, tree-structured, and random files are well known and have been reported in the literature. This paper asserts that substantial savings can also be obtained in database organizations by batching the requests for records (in queries), and also by batching intermediate processing requests while traversing the database. A simple ...

 Building a Transparent Batching Layer for Storm Matthias J. Sax, Malu Castellanos HP Laboratories HPL-2013-69 streaming data, distributed streaming system, batching, performance, optimization Storm is a distributed intra-node-parallel stream processing system built for very low latency processing. One major drawback of Storm is its relatively low throughput. In order to increase Storm's throu...

We address the problem of batching messages generated at nodes of a sensor network for the purpose of reducing communication energy at the expense of added latency. We consider a time-based batching approach. We first develop baseline analytical models based on Markovian assumptions, derive conditions under which batching is profitable, and explicitly determine a batching time that optimizes a ...

In this paper, we present the results of a simulation study for the performance evaluation of certain batching strategies in a multi-product semiconductor wafer fabrication facility (waferfab). Batching in waferfabs means that we can process different lots at the same time on the same machine. As opposite to common scheduling and dispatching decisions in manufacturing beside assignment and sequ...

The power of warehousing system to rapidly respond to customer demands participates an important function in the success of supply chain. Before picking the customer orders, effectively consolidating orders into batches can significantly speed the product movement within a warehouse. There is considerable product movement within a warehouse; the warehousing costs can be reduced by even a small ...

This paper investigates a three-stage supply chain scheduling problem in the application area of aluminium production. Particularly, the first and the third stages involve two factories, i.e., the extrusion factory of the supplier and the aging factory of the manufacturer, where serial batching machine and parallel batching machine respectively process jobs in different ways. In the second stag...