Cloud manufacturing is a new paradigm which has been under study since 2010 and a vast body of research has been conducted on this topic. Among them, service composition problems are of utmost importance. However, most studies only focused on private clouds meaning the objective function is defined for just one component of the supply chain. This paper attempts to consider service composition p...

Time–cost trade-off problems (TCT) are well-known in project management contents. This approach normally applied for scheduling of a project especially where the project should be completed under pre-determined deadline. This paper aims to extend time-cost trade-off (TCT) problems in order to provide a well-organized mechanism for both scheduling and rescheduling processes of a project. The pro...

If the desirable clinical effects of health insurance are ignored, constraining health care cost growth can be simply achieved by providing less generous coverage or no coverage at all. In fact, the numbers of Americans who are uninsured or underinsured is at an all time high, reflecting the trade off between the high cost of health benefits and remaining viable in today’s economy.1 Although ri...

This paper presents a new multi-objective Time-Cost Trade-Off (TCTO) model for Critical Chain Project Management (CCPM) networks. The presented model helps crashing a project with little, or no, additional cost. As combinatorial optimization problems' finding optimal decisions are difficult and is time consuming; considering the number of possible permutations involved for TCTO optimization, th...

beneficial management practices (bmps) are important measures for reducing agricultural non-point source (nps) pollution. however, selection of bmps for placement in a watershed requires optimizing available resources to maximize possible water quality benefits. due to its iterative nature, the optimization typically takes a long time to achieve the bmp trade-off results which is not desirable ...

We study problems in multiobjective optimization, in which solutions to a combinatorial optimization problem are evaluated with respect to several cost criteria, and we are interested in the trade-off between these objectives (the so-called Pareto curve). We point out that, under very general conditions, there is a polynomially succinct curve that -approximates the Pareto curve, for any > 0. We...

In this paper, we study the sparsity-adapted complex moment-Hermitian sum of squares (moment-HSOS) hierarchy for polynomial optimization problems, where sparsity includes correlative and term sparsity. We compare strengths moment-HSOS with real moment-SOS on either randomly generated problems or AC optimal power flow problem. The results numerical experiments show that provides a trade-off betw...

Title of dissertation: SEQUENTIAL DECISIONS AND PREDICTIONS IN NATURAL LANGUAGE PROCESSING He He, Doctor of Philosophy, 2016 Dissertation directed by: Professor Hal Daumé III Department of Computer Science Natural language processing has achieved great success in a wide range of applications, producing both commercial language services and open-source language tools. However, most methods take ...

In a supplier-retailer-buyer supply chain, the supplier frequently offers the retailer a trade credit of  periods, and the retailer in turn provides a trade credit of  periods to her/his buyer to stimulate sales and reduce inventory. From the seller’s perspective, granting trade credit increases sales and revenue but also increases opportunity cost (i.e., the capital opportunity loss during cre...