scholarly journals nOptimization and Intelligent Control for Operation Parameters of Multiphase Mixture Transportation Pipeline in Oilfield: A Case Study

Author(s):  
Hankun Wang ◽  
Yunfei Xu ◽  
Bowen Shi ◽  
Chaoliang Zhu ◽  
Zhihua Wang
2014 ◽  
Vol 140 (2) ◽  
pp. 258-268 ◽  
Author(s):  
Arturo S. Leon ◽  
Elizabeth A. Kanashiro ◽  
Rachelle Valverde ◽  
Venkataramana Sridhar

2013 ◽  
Vol 4 (3) ◽  
pp. 1-31 ◽  
Author(s):  
Kanchan Das ◽  
Scott A. Dellana

This study proposes a Supplier Quality Affiliation (SQA) approach that is integrated into a mixed integer programming Strategic Supply Chain Management (SSCM) model for overall improvement of the supply chain business process. A pool of acceptable quality and high quality suppliers are affiliated using multi-dimensional quality attributes for the supplier operation parameters in the SQA model. Based on the pre-defined partnering attributes, the SQA model next identifies a select group of high quality suppliers that can be converted into partners. The outcome of the SQA model is then integrated into the SSCM model for ensuring input quality while providing several options for overall business gains of the supply chain members, which include suppliers, manufacturers, and retailers. Applicability of the SQA model is investigated using a real world case study and the SSCM model is illustrated with a numerical example using random data.


Author(s):  
Cristina Tănase ◽  
Mihai Caramihai ◽  
Camelia Ungureanu ◽  
Gheorghe Sârbu ◽  
Ana Aurelia Chirvase ◽  
...  

2018 ◽  
Vol 14 (1) ◽  
pp. 81-88 ◽  
Author(s):  
Anton Rassõlkin ◽  
Raivo Sell ◽  
Mairo Leier

Abstract The rapid development of intelligent control technology has also brought about changes in the automotive industry and led to development of autonomous or self-driving vehicles. To overcome traffic and environment issues, self-driving cars use a number of sensors for vision as well as a navigation system and actuators to control mechanical systems and computers to process the data. All these points make a self-driving car an interdisciplinary project that requires contribution from different fields. In our particular case, four different university departments and two companies are directly involved in the self-driving car project. The main aim of the paper is to discuss the challenges faced in the development of the first Estonian self-driving car. The project implementation time was 20 months and the project included four work packages: preliminary study, software development, body assembly and system tuning/testing of the self-driving car. This paper describes the development process stages and tasks that were distributed between the sub-teams. Moreover, the paper presents the technical and software solutions that were used to achieve the goal and presents a self-driving last mile bus called ISEAUTO. Special attention is paid to the discussion of safety challenges that a self-driving electrical car project can encounter. The main outcomes and future research possibilities are outlined


Sign in / Sign up

Export Citation Format

Share Document