Functional characteristic consistency in hard red spring (HRS) wheat is a major problem faced in the relationship between producers and end-users. Common procurement strategies designed to fix this problem include vertical integration, targeting of origins, and pre-shipment samples. End-users find these procurement strategies necessary as a means to ensure quality in their final product. The ma...

Proactive Learning is a generalized form of active learning where the learner must reach out to multiple oracles exhibiting different costs and reliabilities (label noise). One of the its major goals is to capture the cost-noise tradeoff in oracle selection. Sequential active learning exhibits coarse accuracy at the beginning and progressively refine prediction at later stages. The ability to l...

Software engineering requires creativity, thorough design and analysis, and sound design decisions. Design decisions often have tradeoffs and implications associated with them. Therefore, it is important that design decisions are based on sound analysis. With respect to embedded systems, key drivers are often performance and cost. Thus the purpose of this paper is to describe an approach to aid...

Modular manufacturing is gaining popularity in a variety of industrial applications due to potential cost-savings as well process flexibility that can be achieved with the use small and standardized modules. In this work, framework for supply chain optimization proposed ensures production feasibility help historical data individual modules machine learning-based analysis. A problem formulated w...

We present a Kullback–Leibler (KL) control treatment of the fundamental problem of erasing a bit. We introduce notions of reliability of information storage via a reliability timescale τr, and speed of erasing via an erasing timescale τe. Our problem formulation captures the tradeoff between speed, reliability, and the KL cost required to erase a bit. We show that rapid erasing of a reliable bi...

Distributed storage systems are mainly justified due to the limited amount of storage capacity and improving the reliability through distributing data over multiple storage nodes. On the other hand, it may happen the data is stored in unreliable nodes, while it is desired the end user to have a reliable access to the stored data. So, in an event that a node is damaged, to prevent the system rel...

Classical facility location models like the P -median problem (PMP) and the uncapacitated fixed-charge location problem (UFLP) implicitly assume that once constructed, the facilities chosen will always operate as planned. In reality, however, facilities “fail” from time to time due to poor weather, labor actions, changes of ownership, or other factors. Such failures may lead to excessive transp...

This paper deals with the discrete time-cost tradeoff problem (DTCTP) which is well-known to be NP-hard. We propose to compute lower bounds based on Lagrangean relaxation. The basic idea is to decompose the activity-on-node network into subnetworks by relaxing some precedence constraints. Partial solutions provided by the lower bounds are used also to compute upper bounds, that is feasible solu...

The project scheduling and resource allocation problems have been studied using different optimization methods. The resource leveling problem was proposed to reduce the resource fluctuation and was always studied independently resource constraint problem. For example, resource-constrained project scheduling problem (RCPSP) was proposed to optimize scheduling under resource constraints. This res...

This paper concerns the highly complex task of scheduling large-scale maintenance activities during a plants shutdown or turnaround. We model it as a discrete time-cost tradeoff problem with capacity constraints and individual working shifts for different resource types with a cost function regarding a balanced resource consumption. We introduce and model the problem, give an overview on the la...