Presentations at the conference will be based on submission and acceptance of an abstract (up to 250 words), Following abstract acceptance, delegates will have the option to submit a full paper, addressing the review comments. All accepted abstracts and papers will be available in the Conference Proceedings. English is the official language of the conference. We welcome abstract, paper and poster submissions. prospective authors are invited to submit original research abstracts/papers/posters (NOT submitted or published or under consideration anywhere in other conferences/journal).
You can submit an abstract alone, or optionally a full paper following abstract acceptance. Abstracts should be submitted using our submission system.
Abstracts should be submitted through Ex Ordo HERE by the deadline of January 14th 2022 February 7th 2022 (extended)
Notifications of acceptance with review comments for those who submitted by February 7th will be communicated by February 21st 2022.
Please note that due to COVID, we are providing a late abstract submission deadline of February 18th 2022 (Late abstract submission).
Please note – the late abstract submission deadline has now passed, if you wish to discuss an abstract submission past this deadline please email the Conference Chair: pj.byrne@dcu.ie
Alternatively you can submit a poster to our poster session. If you choose to submit a poster, an abstract should be submitted using our submission system.
Poster abstracts should be submitted through Ex Ordo HERE by the deadline of January 14th 2022 February 7th 2022 (extended)
Notifications of acceptance with review comments for those who submitted by February 7th will be communicated by February 21st 2022.
Please note that due to COVID, we are providing a late poster submission deadline of February 18th 2022 (Late poster submission).
Ciara Heavin, S. Armagan Tarim
Cork University Business School, UCC, Ireland
Fierce competition in today’s global markets, the introduction of products with short life cycles and increased customer expectations have forced businesses to focus their attention on operations planning. Further, the Covid-19 Pandemic has created a new impetus for organisations to be flexible, as they adapt to changing internal (e.g., availability of staff) and external environmental factors (e.g., changing public health guidelines, Brexit etc).
Operations planning is concerned with assigning appropriate resources to activities and coordinating these activities promoting greater transparency and equity in decision making, while minimising multiple and possibly conflicting costs. These activities span a large spectrum of decisions, such as distribution network configuration, production scheduling, staff rostering, inventory control, integration of inventory and transportation, risk management, etc. Most of these planning problems have at their core difficult combinatorial problems and involve uncertainty.
In the literature it is well-established that our inability to effectively address uncertainty in operations planning is an increasingly critical limitation and is a significant inhibitor in the use of research results in practice. Operations management research, to be relevant, must tackle large-scale stochastic decision problems. However, the corresponding models often pose serious computational challenges for even small sized problems.
With the advancements of data acquisition and processing capabilities, artificial intelligence (AI), machine learning (ML), and operations research (OR) have significantly boosted the accuracy of data-driven predictions and optimisation in operations management. While notable progress has been made, much work remains to be done. In this session, recent research results will be presented. These studies will highlight the application of AI/ML/OR methods and techniques to operations planning under uncertainty with the potential to impact competitive performance, innovativeness, as well as inclusion and community building.
Khaled A. Alshare, Ph. D.
College of Business and Economics, Qatar University, Qatar
The FIFA World Cup 2022 will be held, for the first time, in the Middle East Region in the State of Qatar. The FIFA World Cup is one of the most popular mega sport events in the world. It is estimated that more than 3 billion persons watch the event and about 3 million attend in person. As such, organizing such event will have a significant impact on the hosting country. This track will address the socioeconomic impact of hosting FIFA World Cup 2022 on Qatar as well as the potential reverse impact of Qatar on the World. In particular, this track will explore the following themes
The Qatar Decision Sciences Institute Chapter (QDSI) invites contributions relevant to the above themes.
Linda L. Zhang, Ph.D., H.D.R.
IESEG School of Management, Lille-Paris, France
Bart MacCarthy, Ph.D.
Nottingham University Business School, The University of Nottingham, UK
Roger J. Jiao, Ph.D.
George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, USA
Facilitating mass customization, product platforms have received increasing attention from academia and lasting interests from industries in the past several decades. Countless articles have been published to address various issues related to product platforms, e.g., product platform planning, product platform strategies, product platform replacement, product platform performance measurement, to name but four. In recent years, there are diverse, yet rapid advancements in technologies, such as IT, Blockchain, cloud computing, IoT, and they are being applied widely in today’s business activities. On the other hand, recognizing the limited resources and the environmental damages on the globe, organizations, be they in the manufacturing or service industries, are gearing their decisions and activities to achieve sustainability. In this context, this special stream is aimed at exploring the recent studies and results on product platforms. We are interested in product platform planning, design, development, and replacement by capitalizing on the technology advancements, product platform applications to sustain businesses, and many other related topics.
Two best paper prizes will be awarded – one for the best theory-oriented paper and one for the best applications-oriented paper presented at the conference. Prizes will also be awarded for the best PhD student presentation and best poster. Note that papers can only be submitted to one prize category.
Evaluation: The EDSI Board will convene the best papers nomination panel.