Forecasting of meteorological drought using Wavelet-ANFIS hybrid model for different time steps (case study: southeastern part of east Azerbaijan province, Iran)

This chapter is a case study of Carroll Community College, a small rural community college, and its plan to develop a viable travel program by using a hybrid model. This model includes three distinct cohorts: study abroad students (students who travel and take an associated credit course), lifelong learning students (travelers who take a continuing education course to prepare for the travel experience), and educational tourists (travelers who do not take an associated course). By allowing not only study abroad students but also lifelong learners (often called continuing education students) to participate in an international travel program, Carroll's mission is addressed. This chapter is a case study of how and why Carroll implemented the hybrid model as an example for other small community colleges that might wish to achieve similar results.

Download Full-text

An Intelligent Hybrid Model for Bus Load Forecasting in Electrical Short-Term Operation Tasks

Handbook of Research on Industrial Informatics and Manufacturing Intelligence - Advances in Civil and Industrial Engineering ◽

10.4018/978-1-4666-0294-6.ch023 ◽

2012 ◽

pp. 540-562

Author(s):

Ricardo Menezes Salgado ◽

Takaaki Ohishi ◽

Rosangela Ballini

Keyword(s):

Power System ◽

Hybrid Model ◽

Electrical Power ◽

Load Forecasting ◽

Electrical Power System ◽

Term Operation ◽

Operating Load ◽

Conventional Models ◽

Safe Operating

The main objective of this chapter is to present a hybrid model for bus load forecasting. This approach represents an essential tool for the operation of the electrical power system and the hybrid model combines a bus clustering process and a load forecasting model. As a case study, the model was applied to the real Brazilian electrical system, and the results revealed a performance similar to that of conventional models for bus load forecasting, but about 14 times faster. The results are compatible with the safe operating load levels for the Brazilian electrical power system and have proved to be adequate for use in real operation tasks.

Download Full-text

Developing Blue Ocean Strategy in Construction Industries Using an Improved Model of Kano

Entrepreneurship and Business Innovation in the Middle East - Advances in Business Strategy and Competitive Advantage ◽

10.4018/978-1-5225-2066-5.ch010 ◽

2017 ◽

pp. 192-207

Author(s):

Mohammad Abdolshah ◽

Fariborz Ahmadzadeh ◽

Afshin Abbaspour

Keyword(s):

Construction Industry ◽

Hybrid Model ◽

Psychological Factors ◽

Strategic Thinking ◽

Consistent Pattern ◽

Economic Factors ◽

Library Research ◽

Improved Model ◽

Selection Of

Blue ocean strategy includes a consistent pattern of strategic thinking in the creation of new markets in various industries. This chapter examines how to create a blue ocean and its role in improving the construction industry. This is library research alongwith case study. It has been prepared based on information gathered from articles published in international journals and referring to large and reputable builder companies. In the concept of strategy, “Blue Ocean” is referred to two overall scope of blue and red ocean. In this chapter, we used the Kano method for evaluation and selection of the features in the construction industry and then, through a four-step approach, it was decided what features should be removed, innovated, enhanced or improved. Finally, using improved hybrid model of Kano and the pillars of the blue ocean strategy, we concluded that economic factors and psychological factors that impact on the consumers need investment and more attention.

Download Full-text

The application of a hybrid simulation modelling framework as a decision-making tool for TPM improvement

Journal of Quality in Maintenance Engineering ◽

10.1108/jqme-06-2018-0056 ◽

2019 ◽

Vol 25 (3) ◽

pp. 476-498 ◽

Cited By ~ 3

Author(s):

Omogbai Oleghe ◽

Konstantinos Salonitis

Keyword(s):

Discrete Event Simulation ◽

Hybrid Model ◽

Discrete Event ◽

Simulation Modelling ◽

Hybrid Modelling ◽

Content Type ◽

Event Simulation ◽

Modelling Framework ◽

Field Notes

Purpose The purpose of this paper is to promote a system dynamics-discrete event simulation (SD-DES) hybrid modelling framework, one that is useful for investigating problems comprising multifaceted elements which interact and evolve over time, such as is found in TPM. Design/methodology/approach The hybrid modelling framework commences with system observation using field notes which culminate in model conceptualization to structure the problem. Thereafter, an SD-DEShybrid model is designed for the system, and simulated to proffer improvement programmes. The hybrid model emphasises the interactions between key constructs relating to the system, feedback structures and process flow concepts that are the hallmarks of many problems in production. The modelling framework is applied to the TPM operations of a bottling plant where sub-optimal TPM performance was affecting throughput performance. Findings Simulation results for the case study show that intangible human factors such as worker motivation do not significantly affect TPM performance. What is most critical is ensuring full compliance to routine and scheduled maintenance tasks and coordinating the latter to align with rate of machine defect creation. Research limitations/implications The framework was developed with completeness, generality and reuse in view. It remains to be applied to a wide variety of TPM and non-TPM-related problems. Practical implications The developed hybrid model is scalable and can fit into an existing discrete event simulation model of a production system. The case study findings indicate where TPM managers should focus their efforts. Originality/value The investigation of TPM using SD-DES hybrid modelling is a novelty.

Download Full-text