Unmanned aerial vehicles (UAVs), or drones, are an emerging technology with significant market potential. UAVs may lead to substantial cost savings in, for instance, monitoring of difficult‐to‐access infrastructure, spraying fields and performing surveillance in precision agriculture, as well deliveries packages. In some applications, like disaster management, transport medical supplies, environmental monitoring, drones even help save lives. this article, we provide a literature survey on...

In this paper, we advise to perform assembly line balancing simultaneously with decision-making on parts feeding. Such integrated planning may open additional potential reduce labour costs. Additional flexibility gained the be used mitigate ergonomic risks at workplaces. We formulate and feeding problem, propose a mixed-integer model compare common hierarchical approach in detailed case study of self-priming pump. Our illustrates that workplaces high emerge even productions involve handling...

Assembly Line Balancing Problems (ALBPs) describe a partition of tasks into subsets, each subset forming station load, to optimize some line efficiency measure under specific task-to-station assignment restrictions. In the literature, assembly balancing problem is usually solved separately from parts feeding problem, which determine supply mode for part associated with tasks. This leaves significant optimization potential untapped. this work, we consider problems jointly and set up...

In the ramp-up phase, or time to volume of new products, pronounced learning effects are observed. They present especially on assembly lines producing mass-goods because a high number repetitions tasks. Shortening phase and reaching steady-state production as soon possible generates main advantages for firms that introduce products. Moreover, careful planning stage is getting even more important in view shorter product life cycles growing importance 'time payback' financial indicators....

Many modern manufacturing settings feature especially close relationship of the transportation workpieces between production steps with scheduling operations. Consider flexible systems, reconfigurable systems or assembly lines, to name a few. In this paper, we review over 140 papers on problems in (SchedPT). We classify reviewed according an extension three-field notation Graham et al. (1979) and outline relevant problem settings, such as characteristics transporters, material flow buffer...

We propose a two-way bounded dynamic programming (TBDP) approach to deal with situations, when it takes long time evaluate the value function in state graph of programming. TBDP provides sharp bounds early solution process and identifies critical subproblems, i.e., states transition arcs, for which has be estimated. Based on framework, we develop heuristic an exact algorithm static crane scheduling problem (SCSP). The SCSP refers simultaneous yard partitioning into single-crane areas job...

With rapid advances in digitization, many critical processes transportation, industries, and our daily life rely on sensor measurements. time, however, the measurements may get gradually biased their precision deteriorates, leading to an enhanced risk of major disruptions caused by false All single are uncertain deviate from true value. To detect malfunctioning sensors early on, a set recent each has be constantly cross-checked against given number other sensors, i.e., should form...

E-commerce operations are essentially online, with customer orders arriving dynamically. However, very little is known about the performance of online policies for warehousing respect to optimality, particularly order picking and batching operations, which constitute a substantial portion total operating costs in warehouses. We aim close this gap one most prominent dynamic algorithms, namely reoptimization (Reopt), reoptimizes current solution each time when new arrives. examine Reopt Online...

This paper introduces the traveling salesman problem with a truck and drone under incomplete information (TSP-DI). TSP-DI is motivated by deliveries of emergency supplies unknown road conditions in immediate aftermath disastrous event. The urgency may force dispatch relief vehicles, such that damages blocking truck's planned route are detected 'on-the-fly'. transport must schedule anticipating possible unplanned detours, enforce (planned) detours for early checking key segments, consider...