The dynamic bowser routing problem

We investigate opportunities offered by telematics and analytics to enable better informed, and more integrated, collaborative management decisions on construction sites. We focus on efficient refuelling of assets across construction sites. More specifically, we develop decision support models that, by leveraging data supplied by different assets, schedule refuelling operations by minimising the distance travelled by the bowser truck as well as fuel shortages. Motivated by a practical case study elicited in the context of a project we recently conducted at Crossrail, we introduce the Dynamic Bowser Routing Problem. In this problem the decision maker aims to dynamically refuel, by dispatching a bowser truck, a set of assets which consume fuel and whose location changes over time; the goal is to ensure that assets do not run out of fuel and that the bowser covers the minimum possible distance. We investigate deterministic and stochastic variants of this problem and introduce effective and scalable mathematical programming models to tackle these cases. We demonstrate the effectiveness of our approaches in the context of an extensive computational study designed around data collected on site as well as supplied by our project partners. Keywords: Routing; Dynamic Bowser Routing Problem; Stochastic Bowser Routing Problem; Mixed-Integer Linear Programming; Construction

The ATP-Binding Cassette Proteins of the Deep-Branching Protozoan Parasite Trichomonas vaginalis

The ATP binding cassette (ABC) proteins are a family of membrane transporters and regulatory proteins responsible for diverse and critical cellular process in all organisms. To date, there has been no attempt to investigate this class of proteins in the infectious parasite Trichomonas vaginalis. We have utilized a combination of bioinformatics, gene sequence analysis, gene expression and confocal microscopy to investigate the ABC proteins of T. vaginalis. We demonstrate that, uniquely among eukaryotes, T. vaginalis possesses no intact full-length ABC transporters and has undergone a dramatic expansion of some ABC protein sub-families. Furthermore, we provide preliminary evidence that T. vaginalis is able to read through in-frame stop codons to express ABC transporter components from gene pairs in a head-to-tail orientation. Finally, with confocal microscopy we demonstrate the expression and endoplasmic reticulum localization of a number of T. vaginalis ABC transporters

The stochastic inventory routing problem on electric roads

Electric road systems (ERS) are roads that allow compatible vehicles to be powered by grid electricity while in transit, reducing the need for stopping to recharge electric batteries. We investigate how this technology can affect routing and delivery decisions for hybrid heavy good vehicles (HGVs) travelling on a ERS network to support the demand of a single product faced by a set of retailers in the network. We introduce the Electric Roads Routing Problem, which accounts for the costs of electricity and fuel on a ERS network, consumption that are affected by the battery level of the vehicle in each step of the journey, the routing decisions and the variable weight of the vehicle, which depends on vehicle load and delivery decisions. In particular, we study a stochastic demand version of the problem, formulating a mathematical programming heuristic and proving its effectiveness. We use our model on a realistic instance of the problem, showcasing the different strategies that a vehicle may follow depending on fuel costs in relation to the costs of electricity

Discrete Event Simulation to Reduce the Effect of Uncertainties on Project Planning

Planning is a vital decision making activity that influences the future of an organization by determining what tasks are to be performed, who required resources are and in what sequence. Organizations often follow a rigorous process to plan and deliver projects optimally based on the given resource and budget constraints. However, uncertainties increase the complexity of the planning process and contribute towards increased cost, delays and resource allocation issues. Therefore, it is important to understand the uncertainties and constraints associated with project activities and their effect on both business processes and organizational goals. Understanding the causal relationships between activities and constraints could allow organizations to operate more effectively and efficiently even in uncertain environments and lead to a more informed decision making process. This paper exemplifies the use of discrete event simulation tool to develop a strategically focused project delivery plan founded on the assessment of uncertainties that could arise during the delivery of the project. Proposed methodology follows a structured and systematic approach in order to identify the factors that can affect the delivery of the project and evaluate solutions that may mitigate or reduce the risk to As Low As Reasonably Practical (ALARP). The main objective is to complement the existing project planning activities rather than replace the existing tools

The product-market system approach to adopt life-cycle thinking in organisation management

Pushed by public demand and regulations, the firms’ role in society is gradually changing from shareholder profit maximisation to societal shared value creation. Despite the positive market’s response in adopting sustainability as a business key driver, there is still a long way to go before companies can assess the full life-cycle impacts of their entire activities, products, and services regarding the triple bottom line. A gap remains in how businesses can set up sustainable products’ strategies within their wider business strategy and systematically replicate successes. Working together with an infrastructure company in the UK, we assessed how life-cycle thinking adoption could be pursued during management operations in the sustainability framework. It has emerged the necessity of a socio-technical system describing the life-cycle of products and services’ market proposition alongside the business model and business strategy concepts. We defined it as the product-market system as it aims to relate the life-cycle of product market proposition to the wider firms’ sustainability performances. It builds on LCT and multi Capitals approaches, and it should help firms address their role within the market and society they operate. Its use should help multi-product businesses to align their product strategies around established targets and values

Data from: Estimating the reproducibility of psychological science

This record contains the underlying research data for the publication "Estimating the reproducibility of psychological science" and the full-text is available from: https://ink.library.smu.edu.sg/lkcsb_research/5257Reproducibility is a defining feature of science, but the extent to which it characterizes current research is unknown. We conducted replications of 100 experimental and correlational studies published in three psychology journals using high-powered designs and original materials when available. Replication effects were half the magnitude of original effects, representing a substantial decline. Ninety-seven percent of original studies had statistically significant results. Thirty-six percent of replications had statistically significant results; 47% of original effect sizes were in the 95% confidence interval of the replication effect size; 39% of effects were subjectively rated to have replicated the original result; and if no bias in original results is assumed, combining original and replication results left 68% with statistically significant effects. Correlational tests suggest that replication success was better predicted by the strength of original evidence than by characteristics of the original and replication teams