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Articles 31 - 60 of 238
Full-Text Articles in Business
Endogeneity Of Commodity Price In Freight Cost Models, Kian Guan Lim
Endogeneity Of Commodity Price In Freight Cost Models, Kian Guan Lim
Research Collection Lee Kong Chian School Of Business
In this paper, we answer a novel question on how the value of goods carried can affect the freight cost. We focus on the issue based on a more specialized freight market involving transport of seaborne iron ore from mining ports to Qingdao in China during the period 2014 to 2019. We construct simultaneous systems of demand–supply equations on both the iron ore market and the freight market. In the models, we explain how endogeneity of iron ore as a regressor can arise due to the nexus between the two markets, and that the freight demand is largely a derived …
Seachi 2022 Symposium: Bringing Equality, Justice, And Access To Hci And Ux Agenda In Southeast Asia Region, Eunice Sari, Masitah Ghazali, Adi B. Tedjasaputra, Yohannes Kurniawan, Thippaya Chintakovid, Siranee Nuchitprasitchai, Ellya Zulaikha, Noris Binti Mohd Norowi, Tamas Makany
Seachi 2022 Symposium: Bringing Equality, Justice, And Access To Hci And Ux Agenda In Southeast Asia Region, Eunice Sari, Masitah Ghazali, Adi B. Tedjasaputra, Yohannes Kurniawan, Thippaya Chintakovid, Siranee Nuchitprasitchai, Ellya Zulaikha, Noris Binti Mohd Norowi, Tamas Makany
Research Collection Lee Kong Chian School Of Business
Southeast Asia that consists of eleven countries, has been proud of its way of life and rich culture and is generally happy to maintain its long comforting tradition. However, the region cannot deny that its diverse population and strategic location have become a center of attention for global players to invest in the region. With the emergence of Industry 4.0, digital transformation has become mandatory for any organizations or nations in Southeast Asia to consider. Through SEACHI (Southeast Asian CHI) Symposium, we aim to grow awareness in HCI and UX to improve the design and development of technology for a …
Joint Capacity Allocation And Job Assignment Under Uncertainty, Peng Wang, Yun Fong Lim, Gar Goei Loke
Joint Capacity Allocation And Job Assignment Under Uncertainty, Peng Wang, Yun Fong Lim, Gar Goei Loke
Research Collection Lee Kong Chian School Of Business
In this paper, we consider the multi-period joint capacity allocation and job assignment problem. The goal of the planner is to simultaneously decide on allocating resources across the J different supply nodes, and assigning of jobs of I different demand origins to these J nodes, so as to maximize the reward for matching or minimize the cost of failure to match. We furthermore consider three features: (i) supply is replenishable after random time, (ii) demand is random; and (iii) demand can wait and need not be fully fulfilled immediately. Such problems emerge in many service management settings such as ride-sharing …
Pricing Under Uncertainty: Forward And Option Pricing In Sports Markets, Preethika Sainam, Sridhar Balasubramanian, Shantanu Bhattacharya, Lin L. Ong
Pricing Under Uncertainty: Forward And Option Pricing In Sports Markets, Preethika Sainam, Sridhar Balasubramanian, Shantanu Bhattacharya, Lin L. Ong
Research Collection Lee Kong Chian School Of Business
Tickets to popular elimination style tournaments (e.g., NFL Super Bowl) are expensive and scarce. Sports organizations sell these tickets well in advance of the final game. Fans hesitate to buy them because they are unsure about whether their favorite team will play in it. We present two alternatives to the current practice: consumer forwards and options. A fan pays a reserve price to secure her team-specific forward ticket. If that team makes it to the final game, the fan must (in the option case, has the choice to) pay an exercise price to purchase the ticket. If the team does …
On The Test Accuracy And Effective Control Of The Covid-19 Pandemic: A Case Study In Singapore, Guang Cheng, Sarah Yini Gao, Yancheng Yuan, Chenxiao Zhang, Zhichao Zheng
On The Test Accuracy And Effective Control Of The Covid-19 Pandemic: A Case Study In Singapore, Guang Cheng, Sarah Yini Gao, Yancheng Yuan, Chenxiao Zhang, Zhichao Zheng
Research Collection Lee Kong Chian School Of Business
This study examines the impact of coronavirus disease 2019 (COVID-19) test accuracy (i.e., sensitivity and specificity) on the progression of the pandemic under two scenarios of limited and unlimited test capacity. We extend the classic susceptible–exposed–infectious–recovered model to incorporate test accuracy and compare the progression of the pandemic under various sensitivities and specificities. We find that high-sensitivity tests effectively reduce the total number of infections only with sufficient testing capacity. Nevertheless, with limited test capacity and a relatively high cross-infection rate, the total number of infected cases may increase when sensitivity is above a certain threshold. Despite the potential for …
Impact Of Restrictive Red Blood Cell Transfusion Strategy On Thrombosis-Related Events: A Meta-Analysis And Systematic Review, Mairehaba Maimaitiming, Chenxiao Zhang, Jingui Xie, Zhichao Zheng, Haidong Luo, Oon Cheong Ooi
Impact Of Restrictive Red Blood Cell Transfusion Strategy On Thrombosis-Related Events: A Meta-Analysis And Systematic Review, Mairehaba Maimaitiming, Chenxiao Zhang, Jingui Xie, Zhichao Zheng, Haidong Luo, Oon Cheong Ooi
Research Collection Lee Kong Chian School Of Business
Background and Objectives There is an ongoing controversy regarding the risks of restrictive and liberal red blood cell (RBC) transfusion strategies. This meta-analysis assessed whether transfusion at a lower threshold was superior to transfusion at a higher threshold, with regard to thrombosis-related events, that is, whether these outcomes can benefit from a restrictive transfusion strategy is debated. Materials and Methods We searched PubMed, Cochrane Central Register of Controlled Trials and Scopus from inception up to 31 July 2021. We included randomized controlled trials (RCTs) in any clinical setting that evaluated the effects of restrictive versus liberal RBC transfusion in adults. …
Stochastic Knapsack Revisited: The Service Level Perspective, Guodong Lyu, Mabel C. Chou, Chung-Piaw Teo, Zhichao Zheng, Yuanguang Zhong
Stochastic Knapsack Revisited: The Service Level Perspective, Guodong Lyu, Mabel C. Chou, Chung-Piaw Teo, Zhichao Zheng, Yuanguang Zhong
Research Collection Lee Kong Chian School Of Business
A key challenge in the resource allocation problem is to find near-optimal policies to serve different customers with random demands/revenues, using a fixed pool of capacity (properly configured). In this paper, we study the properties of three classes of allocation policies-responsive (with perfect hindsight), adaptive (with information updates), and anticipative (with forecast information) policies. These policies differ in how the information on actual demand and revenue of each customer is being revealed and integrated into the allocation decisions. We show that the analysis of these policies can be unified through the notion of "persistency" (or service level) values-the probability that …
R&D Consortia In Competitive Supply Chains, Pascale Crama, Gaoyan Lu, Yi Xu
R&D Consortia In Competitive Supply Chains, Pascale Crama, Gaoyan Lu, Yi Xu
Research Collection Lee Kong Chian School Of Business
R&D consortia, which coordinate R&D activities of their member firms, have been successful in many industries. We study a model with two competing supply chains each consisting of a manufacturer and a supplier. The manufacturers compete in the final product market, and can conduct R&D to reduce unit product costs of their final products. The R&D can be done in three different ways: by the two manufacturers independently, by them jointly in a horizontal R&D consortium, or by the supplier and the manufacturer jointly in each supply chain in two vertical R&D consortia. We find that as compared to independent …
A Constraint Programming Approach To Load Capacity Planning In Container Vessels, Byung Kwon Lee, Joyce M. W. Low
A Constraint Programming Approach To Load Capacity Planning In Container Vessels, Byung Kwon Lee, Joyce M. W. Low
Research Collection Lee Kong Chian School Of Business
A container vessel carries containers of various characteristics, in terms of size, weight, and contents. The cargo load of a container vessel, being subjected to a set of operational conditions and restrictions regarding ship stability and safety, is a fundamental element in decision-making when a shipping line provides logistics services to clients. This study presents a constraint programming-based model for the capacity planning of a container vessel under various operational conditions. The proposed model generates base solutions and is complemented with a rich scenario-based analysis that utilizes real-life ship data of a container vessel operated by a liner shipping company …
The Moderating Effect Of Solar Radiation On The Association Between Human Mobility And Covid-19 Infection In Europe, Wenyu Zhao, Yongjian Zhu, Jingui Xie, Zhichao Zheng, Haidong Luo, Oon Cheong Ooi
The Moderating Effect Of Solar Radiation On The Association Between Human Mobility And Covid-19 Infection In Europe, Wenyu Zhao, Yongjian Zhu, Jingui Xie, Zhichao Zheng, Haidong Luo, Oon Cheong Ooi
Research Collection Lee Kong Chian School Of Business
The novel coronavirus disease 2019 (COVID-19) has caused a global pandemic. Some studies have suggested a negative association between sunlight intensity and COVID-19 infection, alluding to the belief that it might be safe to go out on sunny days. This paper examined whether solar radiation mitigated the association between human mobility and COVID-19 infection in Europe using a dynamic panel data model to investigate the effect of human mobility, solar radiation, and their interaction on COVID-19 infection. The results revealed that outgoing mobility was positively correlated and solar radiation was negatively correlated with COVID-19 infection at lag levels of 1, …
Managing Stochastic Bucket Brigades On Discrete Work Stations, Peng Wang, Kai Pan, Zhenzhen Yan, Yun Fong Lim
Managing Stochastic Bucket Brigades On Discrete Work Stations, Peng Wang, Kai Pan, Zhenzhen Yan, Yun Fong Lim
Research Collection Lee Kong Chian School Of Business
Bucket brigades are notably used to coordinate workers in production systems. We study a J-station, I-worker bucket brigade system. The time duration for each worker to serve a job at a station is exponentially distributed with a rate that depends on the station's expected work content and the worker's work speed. Our goal is to maximize the system's productivity or to minimize its inter-completion time variability. We analytically derive the throughput and the coefficient of variation (CV) of the inter-completion time. We study the system under two cases. (i) If the work speeds depend only on the workers, the throughput …
Schedule Reliability In Liner Shipping Timetable Design: A Convex Programming Approach, Abraham Zhang, Zhichao Zheng, Chung-Piaw Teo
Schedule Reliability In Liner Shipping Timetable Design: A Convex Programming Approach, Abraham Zhang, Zhichao Zheng, Chung-Piaw Teo
Research Collection Lee Kong Chian School Of Business
Container liner shipping is the primary mode of moving manufactured products across continents. Partly due to inherent uncertainties at sea and ports, the liner shipping industry has long had a notorious reputation of schedule delays and unreliable on-time performance. This paper formulates a new approach to incorporate schedule reliability targets in liner shipping timetable design, to balance bunker consumption, time taken for the voyage, and schedule delays. We first model a surrogate problem using a copositive program through a moment decomposition approach and solve it as a convex semidefinite programming relaxation. We next incorporate schedule reliability targets implicitly by exploiting …
Technology Lends A Hand To Green E-Commerce, Hao Liang, Sin Mei Cheah
Technology Lends A Hand To Green E-Commerce, Hao Liang, Sin Mei Cheah
Research Collection Lee Kong Chian School Of Business
The world has witnessed an e-commerce boom in the past 2 decades, and Asia-Pacific is now driving the latest wave of growth. The Covid-19 pandemic has further accelerated consumers' growing preference for online consumption, with the Asia-Pacific region raking US$230 billion in online retail sales in 2020. This article is adapted from the authors' teaching case study - Alibaba Cainiao's Smart Green Logistics Strategy: Good for the Earth, Good for the Business.
Resource Capacity Requirement For Multi-Terminal Cooperation In Container Ports, Byung Kwon Lee, Mei Wan Low
Resource Capacity Requirement For Multi-Terminal Cooperation In Container Ports, Byung Kwon Lee, Mei Wan Low
Research Collection Lee Kong Chian School Of Business
Capacity sharing among neighboring terminals offer a means to meet increasing or unexpected demand for cargo-handling without additional capital investment. This study proposes a model for capacity requirement planning of major resources, such as quay cranes (QCs), storage space, and gate, in multiterminal port operations where demand is time dependent. A resource profile simulation is run to generate random events across the terminals and estimate the capacity requirement in the form of workload distributions on port resources over time-shifts. The effects on workload requirement, arising from multiterminal cooperation, are subsequently evaluated in consideration of different container flows among terminals. Experimental …
Resource Capacity Requirement For Multi-Terminal Cooperation In Container Ports, Byung Kwon Lee, Mei Wan Low
Resource Capacity Requirement For Multi-Terminal Cooperation In Container Ports, Byung Kwon Lee, Mei Wan Low
Research Collection Lee Kong Chian School Of Business
Capacity sharing among neighboring terminals offer a means to meet increasing or unexpected demand for cargo-handling without additional capital investment. This study proposes a model for capacity requirement planning of major resources, such as quay cranes (QCs), storage space, and gate, in multiterminal port operations where demand is time dependent. A resource profile simulation is run to generate random events across the terminals and estimate the capacity requirement in the form of workload distributions on port resources over time-shifts. The effects on workload requirement, arising from multiterminal cooperation, are subsequently evaluated in consideration of different container flows among terminals. Experimental …
We Are On The Way: Analysis Of On-Demand Ride-Hailing Systems, Guiyun Feng, Guangwen Kong, Zizhuo Wang
We Are On The Way: Analysis Of On-Demand Ride-Hailing Systems, Guiyun Feng, Guangwen Kong, Zizhuo Wang
Research Collection Lee Kong Chian School Of Business
Problem definition: Recently, there has been a rapid rise of on-demand ride-hailing platforms, such as Uber and Didi, which allow passengers with smartphones to submit trip requests and match them to drivers based on their locations and drivers’ availability. This increased demand has raised questions about how such a new matching mechanism will affect the efficiency of the transportation system—in particular, whether it will help reduce passengers’ average waiting time compared with traditional street-hailing systems. Academic/practical relevance: The on-demand ride-hailing problem has gained much academic interest recently. The results we find in the ride-hailing system have a significant …
Turning The Tables In Research And Development Licensing Contracts, Niyazi Taneri, Pascale Crama
Turning The Tables In Research And Development Licensing Contracts, Niyazi Taneri, Pascale Crama
Research Collection Lee Kong Chian School Of Business
Research and development (R&D) collaborations between an innovator and her partner are often undertaken when neither party can bring the product to market individually, which precludes value creation without a joint effort. Yet, the uncertain nature of R&D complicates the monitoring of effort, and the resulting moral hazard reduces a collaboration’s value. Either party can avoid this outcome by acquiring the capability that is missing and then taking sole ownership of the project. That approach involves two types of risks: one related to whether the other party’s capability will be acquired and one related to how well it will be …
Inventory Sharing And Demand-Side Underweighting, Hui Zhao, Liang Xu, Enno Siemsen
Inventory Sharing And Demand-Side Underweighting, Hui Zhao, Liang Xu, Enno Siemsen
Research Collection Lee Kong Chian School Of Business
Problem definition: Transshipment/inventory sharing has been used in practice because of its risk-pooling potential. However, human decision makers play a critical role in making inventory decisions in an inventory sharing system, which may affect its benefits. We investigate whether the opportunity to transship inventory influences decision makers' inventory decisions and whether, as a result, the intended risk-pooling benefits materialize. Academic/practical relevance: Previous research in transshipment, which is focused on finding optimal stocking and sharing decisions, assumes rational decision making without any systematic bias. As one of the first to study inventory sharing from a behavioral perspective, we demonstrate a persistent …
Limousine Service Management: Capacity Planning With Predictive Analytics And Optimization, Peng Liu, Ying Chen, Chung-Piaw Teo
Limousine Service Management: Capacity Planning With Predictive Analytics And Optimization, Peng Liu, Ying Chen, Chung-Piaw Teo
Research Collection Lee Kong Chian School Of Business
The limousine service in luxury hotels is an integral component of the whole customer journey in the hospitality industry. One of the largest hotels in Singapore manages a fleet of both in-house and outsourced vehicles around the clock, serving 9,000 trips per month on average. The need for vehicles may scale up rapidly, especially during special events and festive periods in the country. The excess demand is met by having additional outsourced vehicles on standby, incurring millions of dollars of additional expenses per year for the hotel. Determining the required number of limousines by hour of the day is a …
Multi-Period Lot-Sizing With Supplier Selection: Structural Results, Complexity And Algorithms, Meichun Lin, Woonghee Tim Huh, Guohua Wan
Multi-Period Lot-Sizing With Supplier Selection: Structural Results, Complexity And Algorithms, Meichun Lin, Woonghee Tim Huh, Guohua Wan
Research Collection Lee Kong Chian School Of Business
We consider a multi-period lot-sizing problem with multiple products and multiple suppliers. Demand is deterministic and time-varying. The objective is to determine order quantities to minimize the total cost over a finite planning horizon. This problem is strongly NP-hard. For a special case, we extend the classical zero-inventory-ordering principle and solve it by dynamic programming. Based on this new extension, we also develop a heuristic algorithm for the general problem and computationally show that it works well.
Analytics For Hospital Resource Planning: Two Case Studies, Jingui Xie, Weifen Zhuang, Marcus Ang, Mabel C. Chou, Li Luo, David D. Yao
Analytics For Hospital Resource Planning: Two Case Studies, Jingui Xie, Weifen Zhuang, Marcus Ang, Mabel C. Chou, Li Luo, David D. Yao
Research Collection Lee Kong Chian School Of Business
Using real data and process flows from two large hospitals (in Singapore and in Chengdu, China) as cases, we illustrate how to apply certain modeling and optimization techniques, along with simulation as a validation tool, to hospital resource planning problems. We demonstrate how these simple analytical tools can help achieve significant improvements in both patient service and resource utilization, and without the need to increase the overall level of existing capacities. Two resource planning problems are studied in detail, one concerns the re-balancing of bed capacities among various wards, and the other addresses the allocation of medical diagnostic resource among …
Integrated Optimization Of Farmland Cultivation And Fertilizer Application: Implications For Farm Management And Food Security, Onur Boyabatli, Lusheng Shao, Yangfang (Helen) Zhou
Integrated Optimization Of Farmland Cultivation And Fertilizer Application: Implications For Farm Management And Food Security, Onur Boyabatli, Lusheng Shao, Yangfang (Helen) Zhou
Research Collection Lee Kong Chian School Of Business
Motivated by the fresh produce industry, this paper studies a farmer's joint cultivation and fertilizer (a representative farm input) application decisions facing uncertainties in crop's open market price, harvesting cost, and farm yield, where yield is stochastically increasing in the fertilizer application rate. We develop a two-stage stochastic program that captures the trade offs facing a farmer growing a commodity crop in a single season to maximize the expected profit. We then use the model to evaluate the expected optimal harvest volume (a measure of food security). Our analytical analysis is complemented with numerical experiments calibrated to data. We characterize …
Divide And Conquer: A Hygienic, Efficient, And Reliable Assembly-Line For Housekeeping, Xiao Alison Chen, Rowan Wang, Jianghua Zhang
Divide And Conquer: A Hygienic, Efficient, And Reliable Assembly-Line For Housekeeping, Xiao Alison Chen, Rowan Wang, Jianghua Zhang
Research Collection Lee Kong Chian School Of Business
Problem definition: This work focuses on the hotel housekeeping process. In a field study, a possible channel of disease transmission between consecutive guests in hotel rooms is revealed. In order to prevent the transmission, an innovative assembly-line housekeeping method is developed. Academic/practical relevance: The transmission of infectious diseases during hotel stays (e.g., by touching unclean towels or bed linens) has been reported globally. Under the current COVID-19 pandemic, having contact with saliva or mucus left by an infected person could cause infection. The standard housekeeping process used by the majority of hotels leaves a channel for new towels and bed …
Impact Of Penalty Cost On Customers' Booking Decisions, Jianghua Zhang, Daniel Zhuoyu Long, Rowan Wang, Chi Xie
Impact Of Penalty Cost On Customers' Booking Decisions, Jianghua Zhang, Daniel Zhuoyu Long, Rowan Wang, Chi Xie
Research Collection Lee Kong Chian School Of Business
We study a novel newsvendor-type problem where the information on demand quantity is not exogenously given. The customer needs to make the booking decision based on her estimation on demand, which is affected by the value of shortage penalty cost. The problem is motivated by low-cost airline service practices where passengers need to book baggage allowance for their travel. The baggage overweight price affects the accuracy of passengers’ baggage weight estimation and thus their booking quantities. Through stochastic decision models, we analytically characterize the impact of shortage penalty cost on passengers’ booking decisions as well as airline’s profit. We consider …
Urban Consolidation Center Or Peer-To-Peer Platform? The Solution To Urban Last-Mile Delivery, Qiyuan Deng, Xin Fang, Yun Fong Lim
Urban Consolidation Center Or Peer-To-Peer Platform? The Solution To Urban Last-Mile Delivery, Qiyuan Deng, Xin Fang, Yun Fong Lim
Research Collection Lee Kong Chian School Of Business
The growing population in cities and booming e-commerce activities create huge demand for urban last-mile delivery, exerting intense pressure on the cities' well-being. To keep congestion and pollution under control, a consolidator can operate an urban consolidation center (UCC) to bundle shipments from multiple carriers before the last-mile delivery. Alternatively, the consolidator can operate a peer-to-peer platform for the carriers to share delivery capacity. We provide guidance for the consolidator to choose between these two business models by comparative analysis. We capture the interactions between the consolidator and carriers using a game-theoretical framework. Under each business model, the consolidator first …
Inducing Compliance With Postmarket Studies For Drugs Under Fda's Accelerated Approval Pathway, Liang Xu, Hui Zhao, Nicholas C. Petruzzi
Inducing Compliance With Postmarket Studies For Drugs Under Fda's Accelerated Approval Pathway, Liang Xu, Hui Zhao, Nicholas C. Petruzzi
Research Collection Lee Kong Chian School Of Business
Problem definition: In 1992, the Food and Drug Administration (FDA) instituted the accelerated approval pathway (AP) to allow promising drugs to enter the market based on limited evidence of efficacy, thereby permitting manufacturers to verify true clinical benefits through postmarket studies. However, most postmarket studies have not been completed as promised. We address this noncompliance problem. Academic/practical relevance: The prevalence of this noncompliance problem poses considerable public health risk, thus compromising the original purpose of a well-intentioned AP initiative. We provide an internally consistent and implementable solution to the problem through a comprehensive analysis of the myriad complicating factors and …
A Two-Stage Parallel Network Dea Model For Analyzing The Operational Capability Of Container Terminals, Jaehun Park, Byung Kwon Lee, Joyce M. W. Low
A Two-Stage Parallel Network Dea Model For Analyzing The Operational Capability Of Container Terminals, Jaehun Park, Byung Kwon Lee, Joyce M. W. Low
Research Collection Lee Kong Chian School Of Business
This study proposes a systematical approach to evaluate the operational capability of container terminals and discusses the effect of resource usages on operational performances. Two inter-dependent processes (i.e. the loading-discharging (L&D) and the delivery-receiving (D&R) operational processes) with shared/non-shared resources and common/separate productions are examined and characterized as a two-stage parallel network. An evaluation model is developed upon the principles of data envelopment analysis (DEA) to assess the operational capability of the terminals. Using the real-world dataset of 9 container terminals at Port of Busan, comparative performance results are obtained for 5 years spanning across 2014–2018. The proposed model demonstrates …
Cooperative Approaches To Managing Social Responsibility In A Market With Externalities, Xin Fang, Soo-Haeng Cho
Cooperative Approaches To Managing Social Responsibility In A Market With Externalities, Xin Fang, Soo-Haeng Cho
Research Collection Lee Kong Chian School Of Business
Problem definition: This paper studies two cooperative approaches of firms in managing social responsibility violations of their supplier: auditing a common supplier jointly (joint auditing) and sharing independent audit results with other firms (audit sharing). We study this problem in a market with externalities and a large number of firms. Academic/practical relevance: With numerous firms procuring their materials and parts worldwide, there are many cases in which overseas suppliers violate safety, labor, or environmental standards. Those violations have externalities in the sense that one firm’s violation affects other firms in the same market. …
Rebuilding Global Supply Chains From The Ground Up, Victor Fung, Chin Tiong Tan
Rebuilding Global Supply Chains From The Ground Up, Victor Fung, Chin Tiong Tan
Research Collection Lee Kong Chian School Of Business
Dr Victor Fung, Group Chairman of the Fung Group, talks about how technological changes, geopolitical shifts, and Covid-19 are threatening to turn global supply chains upside down, in this interview with Tan Chin Tiong.
London Heathrow Airport Uses Real-Time Analytics For Improving Operations, Xiaojia Guo, Yael Grushka-Cockayne, Bert De Reyck
London Heathrow Airport Uses Real-Time Analytics For Improving Operations, Xiaojia Guo, Yael Grushka-Cockayne, Bert De Reyck
Research Collection Lee Kong Chian School Of Business
Improving airport collaborative decision making is at the heart of airport operations centers (APOCs) recently established in several major European airports. In this paper, we describe a project commissioned by Eurocontrol, the organization in charge of the safety and seamless flow of European air traffic. The project’s goal was to examine the opportunities offered by the colocation and real-time data sharing in the APOC at London’s Heathrow airport, arguably the most advanced of its type in Europe. We developed and implemented a pilot study of a real-time data-sharing and collaborative decision-making process, selected to improve the efficiency of Heathrow’s operations. …