Author: orspadmin

Date: July 5-6, 2018
Venue: Madrid, Spain

The EURO Working Group on Operational Research for Development (EWG-ORD) is pleased to announce the 2nd call for papers and presentations to its 2018 Workshop in Madrid, Spain, July 5-6. The EWG-ORD workshop is a satellite event of the EURO 2018 Meeting in Valencia, Spain to be held July 8-11. The workshop is an ideal avenue for exchanging ideas and practical applications that promote sustainable and global development whether it is in education, health, medicine, transportation, peace, and more.

Abstract Submission Deadline: April 1st, 2018

Streams at EURO 2018: OR for Developing Countries” in the Main Area “OR for Developing Countries and Humanitarian Applications (NOTE: the EURO Abstract Submission Deadline is Extended to: March 19, 2018)

Publication Outlet: Central European Journal of Operation Research, Special Issue on Sustainable Development.

In-Conference Workshop: Applied Neural Networks for research in evaluating education policy, Medicare expenditures, social policy research, and computational behavioral modeling. Bring an Internet capable device to this hands-on workshop.

Nina Kajiji, Co-Chair (programme@ewgord.org)
Gordon Dash, Co-Chair (programme@ewgord.org)

Conference Website: http://eventos.ucm.es/16639/detail/ewg-ord-2018-workshop.html

Applied Data Science Using Python

*** ONLY 6 SLOTS LEFT, REGISTER NOW! ****

Date: June 22-23, 2018
Venue: Mapua University Makati, 333 Sen. Gil Puyat Ave, Makati City (click here to view map)

How will you benefit?
Learn how to deploy Python for Data Science in your organization.
Learn different popular python toolkits and how they can be used to solve REAL-WORLD BUSINESS CASES.

Who should attend?
Business analysts, statisticians, data scientists, operations research analysts, educators, analytics practitioners, managers, and other users who want to leverage the power of Python for Data Science.

What will you learn?
Learn about the different applications Python in Data Science.
Learn how to use Python Libraries for Data visualization and Machine Learning.

Why study Python?
Preferred Programming Language of Data Scientists
It is now the most popular programming language for Data Science (overtaking R)

Easy to Learn
Now the language of choice for 8 of 10 top computer science programs in US

Full featured
Has full capabilities for data manipulation, data cleaning, data visualization and of course, Machine Learning.

Course Outline

Day 1

Morning
Introduction to Python

• Python Programming Basics
• Common Python Functionalities for Data Science

Afternoon
Data Processing and Data Visualization in Python

• Data Cleaning and Processing using “Pandas” Library
• Basic Charting in Python

Day 2
Machine Learning in Python Using “SciKit Learn” Library

• Supervised Machine Learning
– Linear Regression
– Logistic Regression
– Support Vector Machines
– K-Nearest Neighbour
– Decision Trees

• Model Evaluation

Seminar Information

Seminar Timing: June 22-23, 2018
Registration: 7:30 am Course proper: 8:00 am – 5:00 pm.
15 minute morning and afternoon breaks at 10:00 am and 3:00 pm. Lunch 12:00 – 1:00 pm.
Venue : Mapua University Makati, 333 Sen. Gil Puyat Ave, Makati City

Fees

Payment Details:

Please deposit cash or check to:

Account Name: Operations Research Society of the Philippines, Inc.(please do not abbreviate)
Account No: 00151-0028-666
Bank Name: Banco de Oro – Libis

Please email or fax your deposit slip with this registration form to ORSP Secretariat office c/o Jenny, telefax 02 439 9496; mobile 0927 877 5219; e-mail: secretariat@orsp.org.ph.

For Inquiries:

Please call or email ORSP at +632 439 9496 or secretariat@orsp.org.ph c/o Jenny .

Date: November 24, 2017
Venue: Eastwood Richmonde Hotel, Eastwood, Quezon City

*** This conference is endorsed by The Philippine Commission on Higher Education (CHED)***

CHED Endorsement Letter

Invitation

With the theme Sustaining the Environment through OR, the conference seeks to bring together OR researchers, academicians and practitioners, whose collective work has sustained continuing OR contribution to decision- making especially in the area of environmental sustainability.

The 2017 National Conference aims to provide a forum where:
– Practitioners will share their experiences on the problems, methodologies and outcomes of applying OR to solve real-world problems in the Philippines;
– Decision-makers will share new applications of OR in non-traditional areas;
– Researchers will present their findings dealing with the theoretical, computational, and application aspects of OR;
– OR workers will discuss pertinent academic, theoretical and application oriented issues;
– Decision-makers could gain insights from experiences of others who have benefited from the use of OR in the public and private sectors; and
– Everyone will be given the opportunity to exchange ideas on how environment issues can be addressed through the use of OR.

Keynote and Invited Speakers

Hon. Fortunato T. Dela Pena
Secretary
Department of Science and Technology
“The Role of Science & Technology in Environmental Sustainability”

Dr. Kathleen Aviso
Assistant Dean
Research and Advanced Studies
De La Salle University
– Gokongwei College of Engineering
“Engineering a Sustainable Future through Process Systems Engineering”

Dr. Michael Angelo Promentilla
Professor
Chemical Engineering Department
De La Salle University
– Gokongwei College of Engineering
“Proposing an Operations Research Toolbox to Resolve Problematic Situation in Energy and the Environment”

Conference Topics

Submissions of papers aligned with the Conference Theme in the following areas are welcome:

Banking and Finance, Mathematical Programming, Corporate Strategies, Modeling, Decision Support Systems, Management Information Systems, Distribution Management, Marketing, Energy, Production Planning, Engineering Production Control, Expert Systems, Project Management, Financial Investment, Queuing, Forecasting System Dynamics, Health and Welfare Services, Transportation, Inventory Control, Innovation/Knowledge Economy, Supply Chain Management, Customer Relationship Management, Complexity Theory, Soft Methodologies,Papers reporting original and unpublished research results and experience are solicited. Guidelines for abstract submission follow.

Abstract Submission

The abstract should be typed in English, should not include mathematical notations, and must contain the following:
– Paper/proposal title;
– Abstract of not more than 200 words;
– Author(s) name(s), organization, full mailing address, email address, with an indication of author(s) presenting the paper; and
– Topic (at most three, chosen from the Conference Topics List) under which paper falls and additional topics if not included in the list

Email to orsp11thnationalconference@yahoo.com or to the ORSP secretariat at secretariat@orsp.org.ph.

Program Schedule

Important Dates

Deadline for abstract submission: October 30, 2017
Notification of acceptance: November 03, 2017
Deadline for early registration and author registration for inclusion in the abstract book: November 10, 2017

Reservation/ Payment Methods:
1. Payment may be deposited directly to BDO Account No. 00151 0028 666 under the name of Operations Research Society of the Philippines, Inc. (please do not abbreviate). Please fax or email your deposit slip with your registration form.
2. You may also issue a crossed check payable to the Operations Research Society of the Philippines , Inc. (please do not abbreviate) and bring or mail to the office address below. Your receipts will be ready for pick up during the conference at the latest.
3. You may choose to apply for/renew your membership to avail of the member rates. Contact Jenny Alzate, telefax 02 439 9496; mobile 0927 877 5219; e-mail secretariat@orsp.org.ph for any inquiries.

Click here to download flyer

Technical Forum Tackles Power and Implications of Social Media

ORSP technical forum for 2017 featured three speakers who spoke on the Big Data that comes from Social Media and how this has been used to market products and assess consumer reactions to products and services. The first speaker, Matec Villanueva, talked about the consumer and the choices that face him or her, the ensuing conversation, collaboration and creation that happens and finally, the data that is generated from all these activities. A marketing professional who is a CNN Consultant and former CEO of Publicis Manila, she kept emphasizing that data must not stay as numbers but must turn into insights.

This was the same point made by the second speaker, Cherry Ann Almero, who is currently data scientist at Sun Life Asia Data Analytics Centre of Excellence. She discussed at length the various levels of maturity of analytics, starting from Descriptive (what) Diagnostic (answers why), Predictive (goes into forecasting) and Prescriptive (the area of Operations Research). She stated how the internet has transformed taxis into Uber, bookstores into Amazon, travel agents to Expedia, Hotels into Air B&B’s, TV programs into Netflix and Records into Spotify. With the availability of data coming from these internet applications, social media has enabled conversion of opinions into data.

How sentiments are translated into data and how these are analyzed was the topic of the third speaker, Eugene Rex  Jalao. He is currently a professor at the Department of Industrial Engineering and Operations Research, UP Diliman and obtained his Ph.D. in Industrial Engineering from Arizona State University (ASU), specializing in Decision Support Systems, Business Intelligence, Data Mining and Systems Simulation. In his talk, he immediately dove into the details of text mining, web mining, and finally, social media sentiment analysis. He described how messages on social media are being converted into positive and negative opinions of the product or service. He touched on the quintuple of opinion, consisting of the object of opinion, feature of the object, orientation or polarity of the opinion on the feature, the opinion holder and the time when the opinion is expressed. The opinion orientation can be positive, negative or neutral. The speaker showed samples of sentiment analysis he made for Samsung,/IPhone, and PAL/Cebu Pacific.

ORSP Directors Malu U, Vic Reventar and Elise del Rosario moderated the proceedings.  Almost two hundred participants from various sectors as well as students and professors from TIP-Q.C., Colegio de San Juan de Letran, Mapua Institute of Technology, UP Los Baños, University of Makati, Ateneo de Manila, Cavite State University and University of the Cordilleras found the technical forum very informative and gave it a very positive feedback.

With 18 schools and 22 student organisations in attendance, the Annual ORSP National Student Congress was held on March 11, 2017 at the Teresa Yuchengco Auditorium in De La Salle University – Manila. The Operations Research Society Student Federation held its 11th Annual National Student Congress, with the Industrial Management Engineering Society (IMES-DLSU) as the host organizer.

The Congress theme of Operations Research in Public Governance was tackled very well by three well-known public figures. First speaker was Crispian Lao, currently Vice Chairman of the National Solid Waste Management Commission under the office of the President, Republic of the Philippines. His topic covered the applications of OR in Solid Waste Management. The second guest speaker was the Department of Science and Technology Secretary Fortunato de la Peña, who discussed the applications of OR in the public sector. In the afternoon, the third guest speaker Senator Sherwin Gatchalian talked about Public Governance and Education.

These three plenary talks were followed by simultaneous competitions: the annual case study and the traditional quiz bee. Light moments were provided by DLSU entertainments groups Inner Soul and Lola Amore as we’ll as handing out raffle prizes. Participants had the opportunity to take their pictures with the Congress logo in the background. Capping the event was the awarding ceremonies.

Winners of the case study competition were: First place, University of the Philippines – Diliman; Second Place: De La Salle University – Manila, and in third is the team from: Mapua Institute of Technology. UP Diliman team was made up of: Majella Cayley Domingo, Ray Justin Huang, Alejandro Renzo Lim and Wendell Millan, DLSU team members were: Samuel Chen, Christine Fernandez, Karl Ong and Angelia Trinidad while Mapua was represented by: Jean Patrice Leano, Joseph Mirabueno, Marco Malabrigo and Louis Michael Surabia. The highly-contested quiz bee competition was won by: University of the Philippines – Diliman, Quirby Alberto, Ralston Espiritu, Sonny Guanzon and Vann Maligaya Johntee Tantuco, De La Salle University – Manila, Siegfried Barrios, Carlos Ilagan, Ian Ilagan, Jayne San Juan and Kimberly Tee and University of the Philippines – Los Baños, Marella Auditor, Vanessa Althea Bermudez, Christian Earl Buna and Mary Grace Lunar winning the 1st, 2nd, and 3rd places respectively. Overall, the congress was attended by over 550 participants, professors, and guests coming from over 20 schools and organizations around the Philippines.

Apart from enlightening students on the role of OR in government in its efforts to alleviate pressing problems in the country, it opened participants’ views on the possibilities and applications of Operations Research. The organizers, led by Stacy Ng, with the assistance of various committees, Program, Publicity, Marketing, Registration, Finance, Logistics and External have put together a program that it hoped will challenge the participants, the nation’s future leaders, into working towards steering the Philippines towards becoming a Breakthrough Nation through the help of OR.

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Eighteen delegates from De La Salle Dasmariñas, University of the East-Recto, University of Santo Tomas College of Commerce and Business, De La Salle Lipa, University of Cordilleras, Holy Angel University, Bulacan State University, Our Lady of Fatima University and San Miguel Corporation participated in the Workshop on Predictive Analytics Using XLStat organized by ORSP on June 17, 2017 at the Asia Pacific College in Humabon Place, Magallanes, Makati City.

The morning session was a lecture on: the Meaning of Predictive Analytics, Applications in Marketing, Finance, Human Resources, Health Care, Law Enforcement, Fraud Detection, Logistics, Government and Non-Profit and Human Language and Thought, A short introduction on Machine Learning.

The Workshop covered the various applications using the various tools available in XLStat. Using Linear Regression, the class worked on the problem of predicting home prices and customer demand. Cluster Analysis was used to Predict Geographic Clusters using Population and then using Demographic Dynamics. Decision Tree was illustrated with the use of an application in Credit Scoring. Predicting Customer Churn with the use of Naive Bayes tool was tackled next. The tool K Nearest Neighbor was used to see how Breast Cancer can be predicted. Predicting Employee Attrition was tackled with the use of Logistic Regression and lastly, Support Vector Machine was used to predict Survivors of the Titanic.

Each participant was able to work on the data sets preloaded in the computer. All participants found the lecture and the workshop very relevant to their work and gave good feedback on the conduct of the Workshop. The Workshop materials were developed by ORSP Past President Francis Miranda.

Date: June 17, 2017
Venue: Asia Pacific College, Makati City

“What is Predictive Analytics?”
– a branch of  advanced analytics which is used to make predictions about unknown future events.

How will you benefit?
Learn how to deploy Predictive Analytics in your organization.
Learn different predictive analytics algorithms and how they can solve REAL-WORLD BUSINESS CASES.

Who should attend?
Business analysts, statisticians, data scientists, operations research analysts, educators, analytics practitioners, managers, and other users who want to leverage the power of predictive analytics.

What will you learn?
– Learn about the different applications of predictive analytics.
– Learn how to use basic XlStat functions for Predictive Analytics

What is XlStat?
– XLSTAT is a user-friendly statistical software for Microsoft Excel. It is the most complete and widely used data analysis add-in for Excel.
– XLSTAT is used by more than 50,000 customers, businesses and universities, large and small, in over 100 countries across the world.

Course Outline

– Overview on Predictive Analytics
– What is Predictive Analytics?
– Predictive Analytics (PA) Landscape:

Applications of PA in:
•    Marketing and Advertising
•    Financial Risk and Insurance
•    Human Resources
•    Healthcare
•    Law Enforcement
•    Fraud Detection
•    Logistics
•    Government and Non-Profit
•    Human Language and Thought

– The Future of Predictive Analytics
– Case Studies
Case 1:  Predicting Customer Demand
Case 2: Predicting Credit Score
Case 3: Predicting Customer Clusters
Case 4: Predicting Customer Churn
Case 5: Predicting Employee Attrition
Case 6: Detecting Outliers

Seminar Information

Seminar Timing: June 17, 2017
Registration: 7:30am
Course proper: 8am-5pm
15 minute morning and afternoon breaks at 10am and 3pm. Lunch 12nn – 1pm
Venue: Asia Pacific College, 3 Humabon Place, Magallanes, Makati City

Reservation/ Payment Methods

Please deposit cash or check to:

Account Name: Operations Research Society of the Philippines, Inc. (please do not abbreviate)
Account No: 00151-0028-666
Bank Name: Banco de Oro – Libis

For Inquiries:

Please call or email ORSP at +632 439 9496 or secretariat@orsp.org.ph c/o Jenny .

Payment Details:

Please email or fax your deposit slip with this registration form to ORSP Secretariat office c/o Jenny, telefax 02 439 9496; mobile 0927 877 5219; e-mail: secretariat@orsp.org.ph.

Location map

During the January 31, 2017 Board Meeting called by President Francis Miranda, the ORSP Board elected the following officers for 2017 – 2019:
                                               

Joining the current officers are two new Board Members, Vicente Reventar (Ateneo de Manila University) and Dennis Cruz (De la Salle University).

Current Board Members completing the line up are: Dennis Beng Hui (De La Salle University),
Juanito Chan (Ateneo Graduate School of Business), Rene Estember (Mapua Institute of Technology), Francis Miranda (Immediate Past President, GfK Asia), and Nestley Sore (Adamson University)

Activities for 2017 had been calendared as follows:
                                                                               

Eighteen delegates from De La Salle Dasmariñas, University of the East-Recto, University of Santo Tomas College of Commerce and Business, De La Salle Lipa, University of Cordilleras, Holy Angel University, Bulacan State University, Our Lady of Fatima University and San Miguel Corporation participated in the Workshop on Predictive Analytics Using XLStat organized by ORSP on June 17, 2017 at the Asia Pacific College in Humabon Place, Magallanes, Makati City.

The morning session was a lecture on: the Meaning of Predictive Analytics, Applications in Marketing, Finance, Human Resources, Health Care, Law Enforcement, Fraud Detection, Logistics, Government and Non-Profit and Human Language and Thought, A short introduction on Machine Learning. 

The Workshop covered the wide range of applications of the various tools available in XLStat. Using Linear Regression, the class worked on the problem of predicting home prices and customer demand. Cluster Analysis was used to Predict Geographic Clusters using Population and then using Demographic Dynamics.  Decision Tree was illustrated with the use of an application in Credit Scoring. Predicting Customer Churn with the use of Naive Bayes tool was tackled next. The tool K Nearest Neighbor was used to see how Breast Cancer can be predicted. Predicting Employee Attrition was tackled with the use of Logistic Regression and lastly, Support Vector Machine was used to predict Survivors of the Titanic. 

Each participant was able to work on the data sets preloaded in the computer. All participants found the lecture and the workshop very relevant to their work and gave positive feedback on the conduct of the Workshop. The Workshop materials were developed by ORSP Past President Francis Miranda.