Sentence examples for dynamic facilities from inspiring English sources

The dynamic facilities layout problem (DFLP) takes into account changes in demand and allows for the periodic redesign of facilities.

According to the results, engineering managers can identify the most important metrics and their effects on other BSC perspectives for applying lean manufacturing, line balancing, and dynamic facilities layout approaches to improve supply chain performance.

Dynamic facility location models are vastly used in general facility location problems.

Designing a dynamic facility layout is a method to cope with fluctuations and uncertainties in product demands in the SDFLP.

This paper aims at proposing a quadratic assignment-based mathematical model to deal with the stochastic dynamic facility layout problem.

Specific conclusion emerging from the present study have been discussed comprehensively as follows: Dynamic facility location models are vastly used in general facility location problems.

Due to inherent complexity of the dynamic facility layout problem, it has always been a challenging issue to develop a solution algorithm for this problem.

In this paper, a novel hybrid CS-SA algorithm along with a new QAP-based mathematical model to design a dynamic facility layout was proposed to solve the SDFLP.

In addition, Arabani and Farahani (2012) surveyed the static and dynamic facility location problems and classified DLPs models to the several parts, then discussed about mathematical models, solution methods and applications of the available research in the literature since 2011.

First, the available classification in dynamic facility location problems adopted for the literature have been presented, then according to the structures proposed in the literature, as a result of reviewing the literature the integration and merging of these categories have been provided and discussed.

Moreover, dynamic facility location models, where the decisions are spread out over a long-term planning horizon and the decision variables are time-dependent, are more compatible for tracking the dynamics of complex supply chains (Thanh et al. 2008; Babazadeh et al. 2012).