Author: orspadmin

Every OR practitioner has a story to tell.

Behind every model is a real problem, real people, imperfect data, and decisions that rarely unfold as planned. This stream invites papers that bring those stories to the foreground—sharing how Operations Research is actually practiced in real-world settings.

At the IFORS conference (https://www.ifors2026.at/home/), we welcome contributions that showcase applied OR projects and the practical challenges involved in carrying them out. Of particular interest are experiences that illustrate how practitioners:

– Identified and framed opportunities for OR
– Engaged stakeholders and decision-makers
– Formulated, tested, and refined models
– Dealt with data limitations, organizational constraints, or shifting objectives
– Navigated the often-difficult path from analysis to implementation

Submissions (https://www.euro-online.org/conf/ifors2026/) may reflect on topics such as:

– How the project began and how the problem was ultimately framed
– Assumptions that did not hold—and how the formulation evolved as a result
– Technical, organizational, or political challenges encountered along the way
– Strategies for “selling” OR: securing buy-in, managing expectations, and communicating value
– Lessons learned from successful implementations—or from attempts that fell short

This stream (please use session Code 70) aims to promote honest, experience-based insights into the practice of OR. We encourage both academics and practitioners to submit papers that reveal what happens beyond the equations—where OR meets reality.

With the breadth of work you have undertaken, we are confident you have valuable experiences to share. We invite you to contribute and help enrich the collective understanding of how OR truly happens on the ground.

Elise del Rosario (Stream and Session Chair)                                                     
Gerhard-Wilhelm Weber (Session Co-Chair)

Plenary Talks Speakers

– DR. ARIEL BLANCO
Director
Philippine Space Agency

– CAMILLE CASTRO
Head
Sales Force Activation, NielsenIQ

Panel Discussion Panelist

– ANTHONY MARK CHAN
Expert Senior Manager
Data Science
Bain & Company

– MICHEL OGBINAR
Head
Data and Analytics Group
San Miguel Corporation

– ALYSON YAP
Consultant
Ramcar Group of Companies

Moderator

– JAIME DEL ROSARIO
President & Chairman
One Small Step Forward Foundation
Formerly, Country Managing Partner
Accenture

Click to view Conference Program

Date: July 12, 2025, 1-5pm
Venue: VLC 1 and VLC 2, 2nd floor, Industrial Engineering-Mechanical Engineering Building, College of Engineering, University of the Philippines Diliman

Registration Link: https://docs.google.com/forms/d/1CXbaqaVnT0nqIEzCvoW_f7nDjLRWQaJFWi3LqBzx1c0/edit

Date: September 13, 2025, 12:30 – 4:45pm
Venue: Leong Hall Auditorium, Ateneo de Manila University

Speakers

 

 

 

 

 

JOMAR F. RABAJANTE
Dean, Graduate School
Professor and UP Scientist
Institute of Mathematical Sciences
University of the Philippines Los Baños

 

Every Juan Counts: Promoting Data Democracy, Open Data, and Data Literacy for an Informed Nation

ABSTRACT

In today’s data-driven world, it’s not enough for information to just exist—it needs to be accessible, understandable, and useful to everyone. This talk focuses on the idea of data democracy—where every Juan (and Juana) has the right and the ability to make sense of data, ask questions, and be part of decision-making that affects their lives. We’ll talk about how open data and data literacy can empower ordinary Filipinos to engage more actively in governance, advocacy, education, and even everyday problem-solving. I’ll share some examples—from local communities to public sector efforts—where access to the right data and the right skills made a real difference. This is also a chance to reflect on the challenges: How do we build trust in data? How do we make sure data isn’t just for experts or policymakers, but for students, teachers, farmers, fisherfolk, and all sectors of society? By the end of the talk, I hope we’ll see why building a more informed and empowered nation starts with making sure every Juan counts—and can count on data.

Dr. Jomar Fajardo Rabajante is the Dean of the Graduate School at the University of the Philip-pines Los Baños (UPLB), a Professor and UP Scientist at the Institute of Mathematical Sciences, and affiliate faculty at the UP Open University. Named one of the 2021 Outstanding Young Scientists by the National Academy of Science and Technology, he served as Junior Associate at the Abdus Salam ICTP in Italy (2019–2024). He is a fellow of the UP Resilience Institute and member of the UP COVID-19 Response Team. His research focuses on mathematical modeling, quantitative risk assessment, and data analytics in complex biological and social systems. He has consulted for ADB, UNFPA, the Department of Finance, and others. Dr. Rabajante holds a Doctor of Science in Mathematical and Systems Engineering from Shizuoka University, Japan, and degrees in Applied Mathematics from UP. He has held visiting posts in Canada and Germany and co-leads the PhD in Applied Mathematics and PhD by Research (Data Analytics and Informatics) at UPLB.

 

 

 

 

 

 

JAYNE LOIS G. SAN JUAN
Associate Professor
Department of Industrial and Systems Engineering
De La Salle University

 

From Dynamic Risks to Resilient Plans: An Integrated Simulation–Optimization Approach

ABSTRACT

High-stakes policy decisions—whether in disaster logistics, pandemic preparedness, or energy transition—must contend with dynamic risks, deep uncertainty, and the potential for unintended consequences. Traditional optimization models often overlook the evolving, feedback-driven nature of real-world systems, while simulation alone cannot prescribe the best course of action. This talk introduces an integrated simulation–optimization framework that combines system dynamics to capture complex interactions and long-term behavior with data-driven robust optimization to identify strategies that meet explicit performance targets under uncertainty. Through case studies, we demonstrate how this approach transforms dynamic risks into resilient, actionable plans—bridging the gap between insight and implementation for more adaptive and sustainable policy outcomes.

Dr. Jayne Lois G. San Juan is an Associate Professor in the Department of Industrial and Systems Engineering at De La Salle University (DLSU), where she also earned her PhD in Industrial Engineering. Graduating Summa Cum Laude from DLSU’s ladderized BS/MS Industrial Management Engineering program, she was a recipient of both the DOST-ERDT and Gokongwei scholarships. In 2018, she received a special citation in the Magsaysay Future Engineers/Technologists Award by the National Academy of Science and Technology (NAST) Philippines. An active researcher at the Center for Engineering and Sustainable Development Research, she has authored over 60 publications with an h-index of 14. Her research specializes in the integration of machine learning and optimization modeling, optimization under uncertainty, and simulation modeling, focusing on applications in sustainable supply chains, renewable energy systems from lignocellulosic biomass, algae, and sludge, as well as system dynamics modeling for policy evaluation—including COVID-19 transmission control and oil spill recovery strategies.

 

 

 

 

 

JOSE EMMANUEL P. REVERENTE
Deputy Director
UP System Technology Transfer and Business Development Office
Assistant Professor
UP College of Engineering
University of the Philippines

 

From Pipeline Chaos to Capital Clarity: Risk-Adjusted Analytics in Drug-Development Portfolios

ABSTRACT

In 2001 Amgen’s Corporate Business Analysis group monitored nearly twenty clinical-stage candidates, each vying for scarce R\&D dollars. Fresh from an MBA, I was asked to replace gut-feel debates with disciplined, risk-adjusted finance. By combining probability-weighted cash flows, Monte-Carlo launch scenarios and real-option gate reviews, we built a live “efficient-frontier” map that showed which molecules truly moved the dial. The framework steered capital toward Denosumab, which today is Prolia®/Xgeva®, a USD4-billion franchise, while ring-fencing the high-risk GDNF program, a judgment later vindicated when safety issues halted development.

This talk distills that experience and fast-forwards to 2025 best practice. We deconstruct the rNPV engine, demonstrate how machine-learned success probabilities and cloud dashboards now refresh valuations in real time, and outline six principles driving portfolio excellence: quantify risk, fund in staged options, refresh valuations continuously, optimise the portfolio frontier, cultivate an early-kill culture, and maintain executive-ready visuals.

We then extend the playbook beyond pharma, showing how public-sector infrastructure pilots, climate-tech ventures and university R&D funds can apply the same math to de-risk high-uncertainty projects and allocate capital with confidence.

Jose Emmanuel P. Reverente is an innovation coach and senior academic leader with over 30 years of experience in public service, corporate strategy, and university innovation. He specializes in innovation strategy, technopreneurship, and public-private partnerships. He currently serves as Deputy Director of the UP System Technology Transfer and Business Development Office, leading initiatives in intellectual property management, research translation, and industry collaboration. He is also an Assistant Professor at the UP Diliman College of Engineering, where he teaches technology entrepreneurship, and Chief Innovation Officer at the Rizal Academy for Innovation and Leadership. He previously served as Adviser for Innovation at the UP Office of the President, helping shape policy and innovation metrics. His leadership roles include Vice President at Aboitiz Group, Undersecretary at the Department of Finance, and Deputy Executive Director of the Public-Private Partnership Cen-ter. He holds an MBA from Cornell University, a BS in Industrial Engineering from UP, and is a Certified ExO Sprint Coach and MIT Sloan IDEAS Fellow.

Registration Links

Student Early Bird Rate_2025 Technical Forum – Google Forms

Student Regular Rate_2025 Technical Forum – Google Forms

Member Early Bird Rate_2025 Technical Forum – Google Forms

Non-Member: Early Bird Rate_2025 Technical Forum – Google Forms

Member (Regular Rate)_2025 Technical Forum – Google Forms

Non-Member: Regular Rate_2025 Technical Forum – Google Forms

Registration & Payment Details

	Students	Member	Non – Member
Early Bird*	P300	P400	P500
Regular	P400	P500	P600

*Registered & paid before August 30

• Cash/Checks should be made payable to the Operations Research Society of the Philippines,Inc. (please do not abbreviate) and deposited at any Banco De Oro branch to Account No. 1510028666
• GCash: 09178634196 – Marie Shella Mariscal
You may apply for / renew your membership to avail of the member’s rate.
Fees are inclusive of snacks and forum materials.
Certificates of attendance shall be given upon request.

Date: July 12, 2025, 1-5pm
Venue: VLC 1 and VLC 2, 2nd floor, Industrial Engineering-Mechanical Engineering Building, College of Engineering, University of the Philippines Diliman

Registration link: 2025 OR Quiz – Google Forms 

2025 ORSP Quiz Bee COMPETITION Mechanics

AUDIENCE AND CONTESTANTS

1. Registration starts at 12:30. Contest proper starts at 2:00pm, whether teams are complete or not.
2. While contestants are answering questions, audience must not use flash photography or engage in any distracting noise or movements. Violators will be sent out of the room.
3. Contestants are not allowed to use calculators and bring other devices with them, including cellphones.
4. Only writing materials and pens provided by the organizers will be allowed.

SCORING
5. The entire competition will consist of three (3) rounds with ten (10) questions for each round

Round	Type	Time Limit (mins)	Points for Correct Answer
1	Easy	1	10
2	Moderate	2	20
3	Difficult	3	30

6. Each team shall have an assigned Assistant who will provide the answer sheet, questionnaire, and pens. Before each question, the Assistant shall distribute a copy of the question to each team member, face down.

7. With the question sheet still face down, the team members write their assigned 4-letter team name on the upper left hand of the answer sheet. This name should be what appears on the scoreboard.

8. The Quizmaster tells the team to flip to the question page and then reads the question once. The question will be projected on the screen for the entire allotted

9. Timing begins after the Quizmaster finishes reading the question.

10. A timer indicating the time left to answer the question is displayed on the screen.

11. When the time is up, the Assistant will accept only ONE answer sheet. The Assistant ensures that pens are up when the time is called. Anyone caught writing after the time limit shall forfeit the chance to answer the question.

12. The team may choose to provide only the answer on the answer sheet or the complete solution. Protests for alternative answers will only be allowed if the team submitted the complete solution as a basis of their protest. (See section on PROTESTS).

13. Final answers must be legibly written on the answer sheet. Each answer should have the corresponding units if required and should be encircled or boxed. Otherwise, the answer will not be considered.

14. No deductions will be given for unanswered questions or wrongly answered questions.

15. After each question, answers will be checked and team scores updated on the display.

16. The teams garnering the three highest cumulative scores from the three rounds will be declared winners.

PROTESTS
17. In the event of a protest from a team regarding a specific question, the following procedure will be followed:

a. An active member of the team brings the protest to the judge/s in charge of handling protests before the Quiz Master starts to read the next member is given a chance to discuss briefly with the team adviser, but only the member approaches the judge.

b. The active member of the team will be replaced with another team member until the protest is cleared.

c. The competition continues while the protest is being discussed between the representative of the protesting team and the assigned judge. For this reason, a team with only one active member cannot file a protest.

d. Judge’s decision on a protest is final

e. Once reached, a decision on a protest is announced. Scores will be adjusted at the end of this Once decided in their favor, only the protesting team garners the point for the question.

SUBSTITUTIONS
18. A team may maintain or choose new team members from the list of 5 members submitted. Substitution is allowed only at the start or after the fifth question of any round, for as long as the Quiz master has not started reading the next question. The Adviser must notify the one of the Judges when team change is desired.

TIE BREAKERS
19. At the end of the third round, a draw between any of the teams vying for the top three spots will be resolved by “sudden death” elimination, as follows:
(a) An extra question will be asked of the tied teams.
(b) Team giving the correct answers wins.
(c) Questions will be given until the tie is resolved.

IN CASE OF EXIGENCIES
20. Though unlikely but should circumstances demand it, organizers reserve the right to issue additional instructions or changes in the above rules to be announced before, or at the latest, by the quiz master during the contest proper.

TOPICS COVERED
– Linear Programming
– Duality and Sensitivity Analysis
– Integer Programming
– Distribution Models
– Goal Programming
– Nonlinear Programming
– Game Theory
– Simulation
– Dynamic Programming
– Markovian Decision Processes
– Queuing Analysis
– Markov Analysis
– Decision Analysis
– Inventory Models
– Forecasting
– Network Analysis
– PERT/CPM
– Heuristic

Date: Saturday, June 21, 2025
Venue: Kaizen Laboratory, IE-ME Building, Magsaysay Avenue , University of the Philippines, Diliman, Q.C.

Unlock the power of Excel in our comprehensive workshop, Demystifying Predictive and Prescriptive Analytics Algorithms Using Excel.

Dive deep into advanced Excel functionalities like formulas, dashboards, data tables, Goal Seek, and Solver.

Master predictive analytics by classifying spam with Naïve Bayes, developing movie recommender systems, conducting market basket analysis, and optimizing store locations using cluster analysis.

Explore prescriptive analytics through basic optimization examples and a real-world case study on facilities location in the Philippines.

How You Will Benefit
– Gain practical skills to transform complex data into actionable insights, enhancing your decision-making and analytical capabilities.

Who Should Attend
– Consultants, Business analysts, Statisticians, Data Scientists, Operations Research Analysts, Educators, Analytics Practitioners, Managers, and other

What You Will Learn
– Learn how to solve predictive and prescriptive analytics problems solely in Excel.

Pre-requisites
– Intermediate knowledge of Excel

Why learn Predictive and Prescriptive Analytics in Excel?

Intuitive Interface
Excel’s intuitive interface allows users to implement machine learning and optimization techniques with straightforward formulas and built-in tools like Solver, reducing the learning curve.

Deeper learning
Machine learning algorithms are often referred to as “black boxes,” but solving them in Excel can demystify their inner workings.

Registration Fees*

Fee includes materials, use of computer lab, am/pm snacks and lunch

Payment Details :
Operations Research Society of the Philippines, Inc. (do not abbreviate).
Banco de Oro Savings Account Number: 00151 0028 666
Gcash 0917 863 4196 (Marie Shella Mariscal)

Course Outline
Objective: Empower participants with the knowledge and skills to effectively utilize Excel for predictive and prescriptive analytics, transforming data into valuable insights for better decision-making.

Excel Functionalities
– Advanced Formulas
– Dashboards
– Data Tables
– Goal Seek and Excel Solver

Predictive Analytics
– Classifying spam using Naïve Bayes algorithm
– Developing a movie recommender system using Collaborative Filtering
– Conducting market basket analysis for a grocery store.
– Optimizing store location using cluster analysis.

Prescriptive Analytics
– Basic optimization examples
– Philippines facilities location case study

To register, please visit www.orsp.org.ph or contact secretariat @ secretariat@orsp.org.ph or viber number +639278775219

Date: November 14, 2025
Venue: Eastwood Richmonde Hotel, Quezon City

Invitation
Operations Research and Analytics are powerful tools that help organizations make data-driven decisions and solve complex problems. By applying mathematical models, optimization techniques, and data analytics, OR and Analytics provide solutions that lead to better resource allocation, cost reductions, process improvements, and enhanced outcomes, from optimizing supply chains to improving patient care, OR and Analytics are integral in solving real-world challenges.

In this conference, see for yourself the real-world applications of OR and Analytics that showcase success stories, problems encountered, and future trends.
• LEARN: Gain insights into the latest OR and Analytics research and its real-world applications.
• NETWORK: Connect with thought leaders, researchers, and professionals from diverse industries.
• INSPIRE: Discover how your workplace could benefit from these tools that have shaped decision landscapes across diverse domains.

Keynote and Invited Speakers
Prominent OR practitioners, academicians, and businessmen have been invited by the organizers to deliver plenary talks. Speakers and delegates from all over the country will share their work in the parallel sessions.

Conference Topics
Submissions of papers highlighting applications in the following areas are welcome:
• Mathematical Programming
• Modeling
• Decision Support Systems
• Management Information Systems
• Distribution Management
• Production Planning
• Project Management
• Financial Investment
• Queuing
• Transportation
• Inventory Control
• Supply Chain Management
• Generative Al
• Data Analytics
• Natural Language Processing
• Deep learning
• Supervised and Unsupervised learning

ONLY APPLICATION PAPERS WILL BE ACCEPTED.

Guidelines for abstract submissions 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.
Submit abstracts to orspconference2025@gmail.com

Program

0730	Registration	1200	Business Meeting / Lunch
0830	Welcome Remarks	1330	Parallel Sessions
0845	Keynote	1500	Break
1000	Break	1515	Parallel Sessions
1015	Keynote	1700	Closing Ceremonies

Important Dates – EXTENDED

Deadline for abstract submissions & early registration	Oct. 20, 2025
Last day for notification of abstract acceptance	Oct. 27, 2025
Deadline for author registration for inclusion in the online abstract book	Oct. 30, 2025

Registration Fees*

	**Early	Regular
Members	4,500	5,000
Non-Members	5,500	6,000
Students	3,000	3,500
Foreigners	USD 150

* Registration fees are inclusive of AM/PM snacks and Lunch.

** Early registration closes one week after the abstract submission deadline.

Registration Links
• ORSP Members Early Bird Rate
• ORSP Members Regular Rate
• Non-ORSP Members Early Bird Rate
• Non-ORSP Members Regular Rate
• Students Early Bird Rate
• Students Regular Rate
• Foreign Participants

Registration/ Payment Methods:
• 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).
• For ORSP members, membership fees must be paid for the year.
• Payments may also be made thru GCASH 0917 863 4196.
• For other inquiries, please contact ORSP secretariat, viber/mobile number 0927 877 5219;
email secretariat@orsp.org.ph
• Certificate of attendance shall be given upon request.

Speakers

Marimar E. Baticulon
Program Head
Organizational Sustainability
Ateneo Institute of Sustainability

Sustainable Operations at the Core of Responsible Businesses

Marimar E Baticulon (Mai) is the Program Head for Organizational Sustainability at the Ateneo Institute of Sustainability. Prior to AIS, she was Assistant Vice President of the SM Sustainability Office at SM Investments, working with the diverse businesses of the group. She led sustainability initiatives in retail practices and employee training, helping companies within the group integrate sustainability in their operations. Currently, she is also the country coordinator for 3ZERO (Zero Exclusion, Zero Carbon, Zero Poverty) at Acted Philippines, a Board Advisor at non-profit organization SustainablePH, and the Vice Curator of the Global Shapers Community Manila Hub. Mai holds a master’s degree in Sustainability Management and a bachelor’s degree in Management Engineering from Ateneo de Manila University. Her work focuses on designing, executing, and teaching sustainability solutions for organizations.

Maria Antonia N. Tanchuling, PhD
Dean, College of Engineering
Professor, Institute of Civil Engineering
UP Diliman

Quantifying Waste Leakage along the Waste Management Value Chain

Maria Antonia N. Tanchuling is the Dean of the College of Engineering and Professor of the Institute of Civil Engineering (ICE) in the University of the Philippines Diliman. She was the Director of ICE from 2017 — August 2022, the first woman to hold this position since the establishment of the BSCE program in 191o. She is the former Coordinator of the Environmental Engineering Graduate Program and was also the former Associate Dean for Student and Industry Linkage of the UP College of Engineering. She is the Chairperson of the Philippine Association of Tertiary Level Educational Institutions in Environmental Protection and Management (PATLEPAM). She is also the Vice-chairperson of TAO-Pilipinas, an NGO which assists urban poor communities plan its settlements. She is a founding partner of AMH Philippines, an engineering consultancy firm. She is the Chairperson of the Environment and Energy Specialty Group of the Philippine Institute of Civil Engineers (PICE) as well as an adviser of its Student Affairs Committee. Her major research interests are on solid waste management, plastic leakage studies, and microplastics.

Dennis Cruz
Professor
Industrial & Systems Engineering Department
De La Salle University

Water footprint Consideration in Supply Chain

Dr. Dennis E. Cruz is an Assistant Professor in the Department of Industrial and Systems Engineering of De La Salle University. He is a former Associate Dean of DLSU Gokongwei College of Engineering. He is currently the DOST-SEI Undergraduate Scholarships Project Director for De La Salle University. He just completed his Doctor of Philosophy degree in Industrial Engineering in De La Salle University last December 2023. He also finished his Master of Science in Industrial Engineering and Bachelor of Science in Industrial Engineering Minor in Chemical Engineering in the same University. His areas of interest include Supply Chain Management, Circular Economy, Water Footprint, Sus­tainability, Facilities Planning, Mathematical Modelling, and Optimization.

Date and Time: 12:30 pm – 4:45 pm, September 7, 2024 (Saturday)
Venue: Leong Hall, Loyola Schools, Ateneo de Manila University

Registration Fees

Registration is now closed.

Fees in Pesos
	Students	ORSP Member	Non-ORSP Member
Early Bird Rate (Registered & paid on or before August 23)-extended	300	400	500
Regular Registration	400	500	600

Payment Details

1. Cash/Checks should be made payable to the Operations Research Society of the Philippines Inc. (please do not abbreviate) Banco De Oro Account No. 1510028666.
2. GCash: 09178634196 – Marie Shella Mariscal
3. You may apply for / renew your membership to avail of the member’s rate.
4. Fees are inclusive of snacks and forum materials. Certificates of attendance shall be given upon request.

Registration Links

Early Bird	Regular Rate
Students	Students
Member	Member
Non – Member	Non – Member

**Fees are inclusive of snacks and forum materials. Certificates of attendance shall be given upon request

Date: November 8, 2024
Venue: Eastwood Richmonde Hotel

INVITATION
With the theme Operations Research and Analytics: Empowering Decision-Making Across Industries and Sectors, the conference seeks to bring together OR researchers, academicians and practitioners, whose collective work has sustained continuing OR contribution to decision-making.

The conference focuses on the key role of operations research (OR) and analytics in shaping decision-making processes across various industries, as well as within non-governmental organizations (NGOs), public institutions, and private enterprises. It underscores the fusion of theoretical frameworks, practical methodologies, and cutting-edge technologies to optimize operations, enhance efficiency, and drive strategic choices. Through the exploration of combined OR and analytics applications, this conference seeks to illuminate innovative approaches, real-world case studies, and track emerging trends reshaping decision landscapes across diverse domains.

KEYNOTE AND INVITED SPEAKERS

Ms. Niñaliza Escorial
Deputy Executive Director of DOST-PCIEERD

Ms. Michelle Alarcon
President of Analytics and Artificial Intelligence Association of the Philippines (AAP)

Mr. Jase Nathaniel Tiojanco
Senior Account Executive for Critical Infrastructure Public Sector, Microsoft Philippines

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

• Mathematical Programming
• Modeling
• Decision Support Systems
• Management Information Systems
• Distribution Management
• Production Planning
• Project Management
• Financial Investment
• Queuing
• Transportation
• Inventory Control
• Supply Chain Management
• Generative AI
• Data Analytics
• Natural Language Processing
• Deep learning
• Supervised and Unsupervised learning

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.
• Submit abstracts to orspconf2024@gmail.com

PROGRAM

0730	Registration	1200	Business Meeting / Lunch
0830	Welcome Remarks	1330	Parallel Sessions
0845	Plenary 1	1500	Break
1000	Break	1515	Parallel Sessions
1015	Plenary 2	1700	Closing Ceremonies

IMPORTANT DATES 
Deadline for abstract submissions (EXTENDED): Oct. 25, 2024
Deadline for author registration for inclusion in the online abstract book: Oct. 31, 2024

Deadline for Early Bird Rate (Non-Author): Oct. 25, 2024

Registration Fees	Peso
	Early Bird	Regular
Members	4,500	5,000
Non-Members	5,500	6,000
Students	3,000	3,500
Foreign	$150.00
* Registration fees are inclusive of AM/PM snacks and Lunch.

Registration Links:

ORSP Member: Early Bird Rate

ORSP Member: Regular Rate

Non-Member: Early Bird Rate

Non-Member: Regular Rate

Student: Early Bird Rate

Student: Regular Rate

 

Registration/ Payment Methods:
– 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 send proof of payment with your registration form.
– For ORSP members, membership fees must be paid for the year.
– Payments may also be made thru GCASH 0917 863 4196. – For other inquiries, please contact ORSP secretariat, viber/mobile +63 927 877 5219; e-mail secretariat@orsp.org.ph
– Certificates of attendance shall be given upon request.      

Date: June 7, 2024
Venue: Kaizen Laboratory, IE-ME Building, Magsaysay Avenue, UP Diliman

“ChatGPT has continued to evolve quickly, beginning as an AI chatbot that only responded to user prompts. Now it includes features such as analyzing data and interpreting images, leaving everyone from high school students to C-suite executives scrambling to learn ChatGPT so they can use it in new and productive ways.”

– Harvard Business Review

How You Will Benefit?
Gain knowledge on how to use ChatGPT to set up your dream company.

Who Should Attend?
Consultants, Business analysts, Statisticians, Data Scientists, Operations Research Analysts, Educators, Analytics Practitioners, Managers, and other users who want to leverage the power of ChatGPT.

What You Will Learn?
Learn how to strategically implement ChatGPT across various aspects of your dream business, enabling you to make informed decisions and optimize processes.

Prequisites
Subscription to ChatGPT Plus. (Login to your regular account and upgrade)

Why learn ChatGPT?

ChatGPT is multimodal
ChatGPT’s new version is a multimodal model capable of handling both text and image input and output

ChatGPT is now more advanced
ChatGPT’s new version includes many features and plug-ins

ChatGPT has many applications
ChatGPT has a wide array of applications across various domains

Why use ChatGPT in business?
ChatGPT in business streamlines operations, enhances customer interaction, and provides cost-effective solutions through its versatile applications.

Course Outline

Objective: Learn how ChatGPT can help set up your dream business.

Brand Development
• Logo creator

Market Research and Business Plan Development
• Competitive landscape research
• SWOT Analysis
• Financial analysis on competitors
• Mind map on strategy
• Stakeholder presentation

Legal Structure and Registration
• Lease contract
• Contract with suppliers

Marketing Plan
• Create a marketing plan
• Marketing ad creator
• Creation of website
• Creation of social media posts
• Create email blasts

Hiring and Team Building
• Job description
• Onboarding plan

Business Operations
• Creation of menu
• Create an optimized schedule
• Data visualization on operations

Feedback and Improvement
• Analyze customer reviews/sentiment analysis
• Create action plan based on reviews

Growth and Expansion
• Identify new product lines

Seminar Information
Seminar Timing: June 7, 2024
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: Kaizen Laboratory, IE-ME Building, Magsaysay Avenue, UP Diliman

Fee*

Early Bird Rate (on or before May 17)
ORSP Member: P6,000
Non ORSP Member: P6,500

Regular (May 18 to 31)
ORSP Member: P7,000
Non ORSP Member: P7,500

* Fee includes materials, use of computer lab, am/pm snacks and lunch
* Does NOT include subscription to Chat GPT for the seminar

REGISTRATION IS ALREADY CLOSED

Registration Form (Via Google Forms):

Early Bird
ORSP Member  click here          
Non Member click here

Regular
ORSP Member  click here
Non Member click here

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/Branch: Banco de Oro, Eastwood City, E. Rodriguez
GCash: 09178634196 (Marie Shella Mariscal)

Please email or send your depotit slip with this registration form to ORSP Secretariat office c/o Jenny, Viber number 09278775219; email: secretariat@orsp.org.ph.

For Inquiries:
Please email ORSP at secretariat@orsp.org.ph c/o Jenny.