In this paper, we consider a class of two-stage stochastic optimization problems arising in the protection of vital arcs in a critical path network. A project is completed after a series of dependent tasks are all finished. We analyze a problem in which task finishing times are uncertain but can...

Рассмотрена процедура идентификации претендентов на роль команды исполнителей в процессе анализа согласованности их поведения при разрешении тестовых...

Over $47 billion of tax exempt debt issues were sold to the public in 1982. A portion of this total was offered to municipal bond underwriters under a competitive bidding system using the criterion of minimum true interest cost (internal rate of return). The TIC bidding problem may be formulated...

The production and logistics operations planning in real-life single- or multi-site semicontinuous food industries is addressed in this work. A discrete/continuous-time mixed integer programming model, based on the definition of families of products, is developed for the problem in question. A...

Hybridisation of algorithms to develop efficient solution methods for solving various NP-hard problems has been a practice for the last few years. It can be seen that researchers have tried different permutations and combinations of various exact, heuristic and metaheuristic algorithms to...

In supply chain strategy, designing a network is one of the most important part. This model deals with various dimensional facility location models. Initially, this paper begins with two echelon facility location model of dimension two. Then, it is extended to three dimensional model by adding...

Maritime freight volumes fluctuate with changes in consumer demand and global economies. In this paper we analyze the stochasticity in the container trade volumes and perform a two-stage stochastic analysis with recourse to determine an optimal set of inland depots to be opened within a 10-year...

In this paper, we propose a set of two-stage robust optimization models to design reliable p-median facility location networks subject to disruptions. We analyze their structural properties, and implement the column-and-constraint generation method with customized enhancement strategies, which...

Assessing the instability of a multivariable model is important but is rarely done in practice. Model instability occurs when selected predictors--and for multivariable fractional polynomial modeling, selected functions of continuous predictors--are sensitive to small changes in the data....