We study a class of scheduling problems involving the maximum lateness criterion and an element of batching For all the problems that we examine algorithms appear in the literature which consist of a sorting step to determine an optimal job sequence followed by a dynamic programming step which determines the optimal batches In each case the dynamic program is based on a backward recursion of wh...

This paper proposes a novel algorithm for a real-world job shop-scheduling problem, where both lot-sizing and batching processes are considered. A fuzzy rule-based system is developed for determining lot sizes, where the input variables are workload on the shop floor, size of the job and its urgency while the output is the size of the lots. Both input and output variables are modelled as lingui...

Abstract We introduce primal and dual stochastic gradient oracle methods for decentralized convex optimization problems. Both oracles, the proposed are optimal in terms of number communication steps. However, all classes objective, optimality calls per node takes place only up to a logarithmic factor notion smoothness. By using mini-batching technique, we show that with can be additionally para...

Up to 50 per cent of all warehouse operations costs can be attributed to order picking [1]. It is an aspect critical to each supply chain and the planning and control of warehouse processes. According to experience from logistics environments, a reduction of picking times is an integral part of the delivery lead-time and may result in an improvement of the customer service provided by a warehou...

Antagonist cycles have an inherent issue of lack of flexibility. As a result where batching of cycles is desired, it is not the preferred protocol in ART cycles. There is also the limitation of ovarian response in antagonist cycle due to the size heterogenesities of antral follicles at the start of stimulation. Among the different options available, use of estrogen in the luteal phase of the pr...

In the chemical industry, final products arise from chemical and physical transformations of materials in processing units. We consider the case of batch production mode, where the total requirements for intermediate and final products are divided into individual batches. To produce a batch, the inputs are first loaded into a processing unit, then a transformation process is executed, and final...

As data permeates all disciplines, the role of big data becomes increasingly important. Sensors, IoT devices, social networks, and online transactions are all generating data that can be monitored constantly to enable a business to identify opportunity to enhance customer service and increase revenue. This need for real-time processing of big data has led to the development of frameworks for di...

Android applications often rely on alarms to schedule background tasks. Since Android KitKat, applications can opt-in for deferrable alarms, which allows the OS to perform alarm batching to reduce device awake time and increase the chances of network traffic being generated simultaneously by different applications. This mechanism can result in significant battery savings if appropriately adopte...

The ‘‘bullwhip’’ effect is a major cause of supply chain deficiencies. This phenomenon refers to grow the amplification of demand or inventory variability as it moves up the supply chain. Supply chain managers experience this variance amplification in both inventory levels and orders. Other side, dampening variance in orders may have a negative impact on customer service due to the increase in ...

Entity resolution is central to data integration and data cleaning. Algorithmic approaches have been improving in quality, but remain far from perfect. Crowdsourcing platforms offer a more accurate but expensive (and slow) way to bring human insight into the process. Previous work has proposed batching verification tasks for presentation to human workers but even with batching, a human-only app...