When a customer orders online, an online retailer assigns the order to one or more of its warehouses and/or drop-shippers, so as to minimize procurement and transportation costs, based on the available current information. However, this assignment is necessarily myopic as it cannot account for any subsequent customer orders or future inventory replenishment. We examine the benefits of periodica...

Traditionally cost-benefit analysis of different farm systems and management strategies, or losses due to diseases, are based on rough estimates made by experts. The purpose of this study is to use panel data to quantify the differences experienced in real life between farmand management systems (fixed sow versus loose sows, one site versus two or multi sites, etc.) and the actual loss due to d...

Triple-frequency GNSS has been intensively studying in the past decades, especially with the open service of China’s BeiDou system. In this review, we will address the ambiguity resolution, benefits gained from additional frequency signals compared to the dual-frequency GNSS signals, as well as analyse the challenges of triple-frequency GNSS for future development. We first review and compare t...

A common premise in modern forest management is that land management should operate over large enough spatial and temporal scales that common natural disturbances are present and implicitly considered. Less emphasis has been focused on managing humid tropical forest ecosystems with the periodic ecological processes that occur between disturbances. The central premise of this paper is that timin...

Assertions on time-stamped event histories (TEHs) have been used in real-time theory for specifying, analyzing, and verifying requirements and designs, and also have been proposed for monitoring implementations. This paper investigates the direct use of TEHs for programming. We define some language and system support mechanisms, show by example the potential benefits of programming with TEHs, a...

Infectious diseases impose considerable burden on society, despite significant advances in technology and medicine over the past century. Advanced warning can be helpful in mitigating and preparing for an impending or ongoing epidemic. Historically, such a capability has lagged for many reasons, including in particular the uncertainty in the current state of the system and in the understanding ...

Dynamic Bayesian networks (DBNs) are increasingly adopted as tools for the modeling of dynamic domains involving uncertainty. Due to their ease of modeling, repetitive DBNs are the standard. However, repetitive DBNs do not allow the independence relations to vary over time. In contrast, non-repetitive DBNs do allow for modeling time-varying relations, but are hard to apply to dynamic domains du...

This article reports an exploratory study on using performance assessment in mathematics instruction in a high-performing secondary school in Singapore. An intact mathematics class participated in the study, and received chapter-based performance tasks as intervention during regular mathematics lessons for about one and a half school years. The performance tasks used included authentic and/or o...

“Should we pool separate queues into a single queue or not?” A question as practical as for daily-life situations such as at a bank, a hospital or a service center as well as for technical applications such as in manufacturing or call centers. A question that involves fundamental insights of queuing theory. A question that can only be answered in a realistic situation by simulation. A question ...

It has been under debates whether school closure is effective in mitigating the outbreak of influenza. To better address the problem, we develop an individual-based simulation model based on the real-life contact data in Singapore. By conducting extensive simulations on the model, we evaluate the impacts of temporal factors, namely the trigger threshold and duration, on the effectiveness of sch...