Outage planning of electrical power system networks using genetic algorithm

An electrical company is responsible for the maintenance of a transmission network of high voltage electricity. The maintenance schedule must be planned so as to minimize outage costs, taking into consideration various factors such as system security/reliability, system availability, and manpower utilization. With the rapid growth of organization, planning engineers are required to fulfill additional roles in order to increase productivity. To this end, a fast response and accurate mechanism is required to assist the planning engineers in dealing with the daily operation. This paper describes how a proposed maintenance schedule can be obtained automatically by the adoption of genetic algorithm. The main aim is to determine the maintenance schedule of circuit outage with minimizing the maintenance cost and maximizing the circuit availability under certain unavoidable system constraints. Further, an additional search mechanism called "final tuning search" is developed to enhance the system performance.published_or_final_versio

Information integration platform for CIMS

A new information integration platform for computer integrated manufacturing system (CIMS) is presented, which is based on agent and CORBA. CORBA enhances the system integration because it is an industry-standard for interoperable, distributed objects across heterogeneous hardware and software platform. Agent technology is used to improve intelligence of the integration system. In order to implement the information integration platform, we use a network integration server to integrate the network, design a generic database agent to integrate database, adopt multi-agent based architecture to integrate application, and utilize wrapper as a CORBA object to integrate legacy code.published_or_final_versio

Design and development of a flexible workflow supply chain system

This paper attempts to suggest a methodology for the design and development of a flexible workflow supply chain (FWSC) system for achieving flexibility to cope with unexpected changes. In particular, a multi-agent approach, which provides the capability to meet the requirement of a FWSC system, is proposed. Such a system is characterized by its capability to cope with the increasing complexity setting of organizations and markets, providing effective information exchange between business partners. The methodology for the design and development of a workflow agent is also covered in this paper. This paper is concerned with the suggestion of a multi-agent methodology, which is able to enhance the effectiveness in terms of the information flow in a supply chain, thereby providing more alternatives and ideas for those researchers who are interested in this field of study.published_or_final_versio

Object-oriented architecture of control system for agile manufacturing cells

The depiction of the agile manufacturing cell includes a synopsis of some of the change proficiencies obtained by the configuration. To achieve agile configuration, the cell control system for agile manufacturing must be rapidly and efficiently generated or modified. In this paper, the object-oriented architecture is defined that supports design and implementation of highly reconfigurable control systems for agile manufacturing cells, which is composed of database objects, control objects, and resource objects, so as to reduce costs and increase a control system's agility with respect to changing environmentpublished_or_final_versio

A conceptual model of performance measurement for supply chains

Supply chain management (SCM) has gained a tremendous amount of attention from both industries and researchers since the last decade. Until now, there are numerous papers, articles, and reports that address SCM, but there is still a lack of integration between the existing performance measurement methods and practical requirements for the SCM. An innovative performance measurement method is proposed to provide necessary assistance for performance improvement in SCM. The proposed method will address this purpose in these four aspects: a simplified supply chain model; tangible and intangible performance measures in multiple dimensions; a cross-organizational performance measurement; and fuzzy set theory and weighted average method.published_or_final_versio

Fuzzy-logic controlled genetic algorithm for the rail-freight crew-scheduling problem

AbstractThis article presents a fuzzy-logic controlled genetic algorithm designed for the solution of the crew-scheduling problem in the rail-freight industry. This problem refers to the assignment of train drivers to a number of train trips in accordance with complex industrial and governmental regulations. In practice, it is a challenging task due to the massive quantity of train trips, large geographical span and significant number of restrictions. While genetic algorithms are capable of handling large data sets, they are prone to stalled evolution and premature convergence on a local optimum, thereby obstructing further search. In order to tackle these problems, the proposed genetic algorithm contains an embedded fuzzy-logic controller that adjusts the mutation and crossover probabilities in accordance with the genetic algorithm’s performance. The computational results demonstrate a 10% reduction in the cost of the schedule generated by this hybrid technique when compared with a genetic algorithm with fixed crossover and mutation rates

Big data-driven fuzzy cognitive map for prioritising IT service procurement in the public sector

YesThe prevalence of big data is starting to spread across the public and private sectors however, an impediment to its widespread adoption orientates around a lack of appropriate big data analytics (BDA) and resulting skills to exploit the full potential of big data availability. In this paper, we propose a novel BDA to contribute towards this void, using a fuzzy cognitive map (FCM) approach that will enhance decision-making thus prioritising IT service procurement in the public sector. This is achieved through the development of decision models that capture the strengths of both data analytics and the established intuitive qualitative approach. By taking advantages of both data analytics and FCM, the proposed approach captures the strength of data-driven decision-making and intuitive model-driven decision modelling. This approach is then validated through a decision-making case regarding IT service procurement in public sector, which is the fundamental step of IT infrastructure supply for publics in a regional government in the Russia federation. The analysis result for the given decision-making problem is then evaluated by decision makers and e-government expertise to confirm the applicability of the proposed BDA. In doing so, demonstrating the value of this approach in contributing towards robust public decision-making regarding IT service procurement.EU FP7 project Policy Compass (Project No. 612133

Joint Optimization for Knowledge Mining: Evaluating Parameters of Manufacturing Processes

In various kinds of manufacturing production, predicting the influence of process parameters in terms of machine performance is a necessity as they may have a serious impact on product quality as well as on the probability of machine failure. To address this issue, this paper presents a novel knowledge-based algorithm embedded with artificial intelligence for evaluating the overall suitability of adopting the predicted control parameters suggested by domain experts. The originality of this research is that the proposed knowledge-based system is equipped with fuzzy-guided genetic algorithm, enabling the identification of the best set of process parameters. Simulation using the RIE machine is provided to validate the practicability of the proposed approach.Department of Industrial and Systems EngineeringRefereed conference pape

A real time performance measurement technique for dispersed manufacturing

Whether or not a company is able to compete in the local and global arena depends significantly on how effectively the company can build up the partnership synergy with their business counterparts. With the emergence of a dispersed manufacturing network, the important issue is the criteria for the selection of the right partners for the right tasks. In this respect, it is essential to develop the necessary techniques to measure the performance of potential business partners prior to making the decision of partner selection. This paper suggests a performance measurement technique incorporated with on‐line analytical processing (OLAP) technology to support enterprise decisions related to selecting appropriate business partners. It also includes examples to illustrate how to apply this technique in real industrial situations