one of the most important structural components of engine compartment assembly in a car body is the srail. s-rails has significant role in absorbing energy during crash events and therefore it is designed for efficient behavior in such conditions. driving the peak crushing force of the s-rails is one of the important objectives in the design process of such structures. peak crushing force is ex...

We consider the simultaneous seat-inventory control of a set of parallel flights between a common origin and destination with dynamic customer choice among the flights. We formulate the problem as an extension of the classic multiperiod, single-flight “block demand” revenue management model. The resulting Markov decision process is quite complex, owing to its multidimensional state space and th...

Radiotherapy treatment is often delivered in a fractionated manner over a period of time. Emerging delivery devices are able to determine the actual dose that has been delivered at each stage facilitating the use of adaptive treatment plans that compensate for errors in delivery. We formulate a model of the day-to-day planning problem as a stochastic program and exhibit the gains that can be ac...

The well-known Influence Maximization (IM) problem has been actively studied by researchers over the past decade, with emphasis on marketing and social networks. Existing research have obtained solutions to the IM problem by obtaining the influence spread and utilizing the property of submodularity. This paper is based on a novel approach to the IM problem geared towards optimizing clicks and c...

MOTIVATION Eugene Myers in his string graph paper suggested that in a string graph or equivalently a unitig graph, any path spells a valid assembly. As a string/unitig graph also encodes every valid assembly of reads, such a graph, provided that it can be constructed correctly, is in fact a lossless representation of reads. In principle, every analysis based on whole-genome shotgun sequencing (...

The impact of financial challenges on the profit of a supply chain, have caused the researcher to model the supply chain network by considering the operational and financial dimensions. Also, the establishment of a closed loop supply chain (CLSC) network has a high effect on economic profit. So, the purpose of this study is to design a stochastic closed loop supply chain network by considering ...

This article presents a nonlinear programming mathematical model that coordinates inventories and production in logistics network made up of plants, distributors, retailers. The procedure for formulating solving the uses programming, linear heuristics, Lagrangian relaxation stages.

this research presents a new application of the cloud theory-based simulated annealing algorithm to solve mixed model assembly line sequencing problems where line stoppage cost is expected to be optimized. this objective is highly significant in mixed model assembly line sequencing problems based on just-in-time production system. moreover, this type of problem is np-hard and solving this probl...

We describe computational procedures to solve a wide-ranging class of stochastic programs with chance constraints where the random components of the problem are discretely distributed. Our procedures are based on a combination of Lagrangian relaxation and scenario decomposition, which we solve using a novel variant of Rockafellar and Wets’ progressive hedging algorithm. Experiments demonstrate ...

Assembly line balancing problems (ALBP) are of capital importance for the industry since the first assembly line for the Ford T by Henry Ford. Their objective is to optimize the design of production lines while satisfying the various constraints. Precedence constraints among the tasks are always present in ALBP. The objective is then to place the tasks among various workstations such that the p...