18 research outputs found
Multi objective particle swarm optimization: algorithms and applications
Ph.DDOCTOR OF PHILOSOPH
A Polyhedral Study of Mixed 0-1 Set
We consider a variant of the well-known single node fixed charge network flow set with constant capacities. This set arises from the relaxation of more general mixed integer sets such as lot-sizing problems with multiple suppliers. We provide a complete polyhedral characterization of the convex hull of the given set
Optimization algorithms for loading military diesel generators
The economic load dispatch (ELD) problem challenges the designer to adequately provide for electrical load demand while minimizing operational costs. The military has a unique set of constraints for meeting the ELD problem to provide power to soldiers in forward operating bases. The constraints include the use of military diesel gensets that remain disconnected from each other and are loaded below a user-defined real power threshold (for a reliability safety cushion). In addition, the system must be simple enough to be constructed with minimal training and require no reconfiguration once established. As a result, a simple tool to quickly assign loads to isolated military diesel generators is required. To meet this need, this study compares the use of several optimization algorithms including particle swarm optimization (PSO), bat algorithm (BA), cuckoo search (CS), first fit decreasing (FFD) bin packing, and an exhaustive search (ES) method. It is found that at large enough search spaces, the optimization algorithms can discover reasonably optimal solutions while substantially decreasing search time. For this application, FFD has more optimal average solutions as well as faster run time compared to the other algorithms
Key performance indicators for sustainable manufacturing evaluation in automotive companies
The automotive industry is regarded as one of
the most important and strategic industry in manufacturing
sector. It is the largest manufacturing enterprise in the
world and one of the most resource intensive industries of all major industrial system. However, its products and
processes are a significant source of environmental impact.
Thus, there is a need to evaluate sustainable manufacturing
performance in this industry. This paper proposes a set of
initial key performance indicators (KPIs) for sustainable
manufacturing evaluation believed to be appropriate to
automotive companies, consisting of three factors divided
into nine dimensions and a total of 41 sub-dimensions. A
survey will be conducted to confirm the adaptability of the
initial KPIs with the industry practices. Future research will focus on developing an evaluation tool to assess sustainable manufacturing performance in automotive companies
Structural optimization in steel structures, algorithms and applications
L'abstract è presente nell'allegato / the abstract is in the attachmen
CORPORATE SOCIAL RESPONSIBILITY IN ROMANIA
The purpose of this paper is to identify the main opportunities and limitations of corporate social responsibility (CSR). The survey was defined with the aim to involve the highest possible number of relevant CSR topics and give the issue a more wholesome perspective. It provides a basis for further comprehension and deeper analyses of specific CSR areas. The conditions determining the success of CSR in Romania have been defined in the paper on the basis of the previously cumulative knowledge as well as the results of various researches. This paper provides knowledge which may be useful in the programs promoting CSR.Corporate social responsibility, Supportive policies, Romania