Addressing The Potential of Alternative Configurations for CO2ER Supply Chains

As global climate change concerns intensify, the search for renewable-based alternatives to products and processes that rely on fossil fuels becomes ever more important. A process that has been championed is the co-electrolysis of carbon dioxide and water, under the supply of renewable energy, via high-temperature solid oxide electrolyser...

Kiosk Strategic Demand Forecasting with Scenario Planning: A case study at SITA

SITA is the world’s leading specialist in air transport communications and information technology which works with around 400 air transport members and has 2800 customers in 190 countries. TS6 kiosk is the newest generation of its kiosk family and is facing a complicated situation now. Usually, the production of a kiosk is using make-to-order...

Integrating Predictive and Optimization Model for Intelligent Schedule Management based on Real Time ETA Information: A Concept of Machine Learning and Exact Solution in Petrochemical Loading Facility

This study addresses the truck rescheduling problem as the consequence of uncertain arrival time. It proposes an integrated system of predictive model powered by machine learning algorithm and exact optimization model such that it is distinct from most existing literatures in this domain. The uncertainty of truck arrival time is captured as...

Forecasting spare parts of free-floating shared vehicles: A search to a data driven approach to improve the availability of spare parts

For the shared mobility service providers, it is essential to have an economic operation and therefore, it is necessary to maximise their fleet utilisation. Of influence on the latter is the availability of the spare parts. The topics for which spare part forecasting research is already performed are different in several ways compared to the...

Routing Optimization for the Train Unit Shunting Problem using a Multi-Agent Deep Reinforcement Learning Framework

In busy passenger railway networks, a large amount of trains have to be parked in shunting yards off the mainline every night, where they will be cleaned, maintained, sorted and parked. This problem is known as the Train Unit Shunting Problem (TUSP), which is a hard combinatorial optimization problem faced by railway operators. The TUSP is...

Design of a blockchain-based platform to support the availability of Entry Summary Declarations to European Customs

To ensure safety and security of imported goods, customs authorities perform risk assessment on incoming goods. European customs use declaration data provided by traders to execute risk analysis. Lacking availability of this data to customs authorities currently hinders proper risk management and poses threats for the European socio-economy. To...

Implementation of Receiver Preferences in a Parcel Locker Network for Last Mile Deliveries

With the current growth of e-commerce, couriers need to serve a bigger demand and it is often the case that receivers are not at the location when their parcel is delivered. The use of parcel lockers is seen as a good option for improving the problem of failed deliveries. However, implementing a parcel locker network has an impact on both...

The impact of RFID-deployments on Out-of-Stocks in various apparel stores

The retail market is changing rapidly. Many new offline, as well as online competitors, arrived. As a result, customers became more demanding. One of the critical elements is that customers expect a high variety of products that are always available. Out of Stocks (OoSs) in apparel stores result in lost sales in the short term and a declining...