A5054872420- Forecasting Techniques and Applications
- Supply Chain and Inventory Management
- Advanced Statistical Process Monitoring
- Stock Market Forecasting Methods
- Consumer Market Behavior and Pricing
- Sustainable Supply Chain Management
- Advanced Statistical Methods and Models
- Energy, Environment, and Transportation Policies
- Quality and Supply Management
- Reliability and Maintenance Optimization
- Monetary Policy and Economic Impact
- Scheduling and Optimization Algorithms
- Management and Optimization Techniques
- Energy Load and Power Forecasting
- Advanced Manufacturing and Logistics Optimization
- Advanced Queuing Theory Analysis
- Big Data and Business Intelligence
- Urban and Freight Transport Logistics
- Supply Chain Resilience and Risk Management
- Market Dynamics and Volatility
- Optimization and Mathematical Programming
- Economic and Environmental Valuation
- Vehicle Routing Optimization Methods
- Modeling, Simulation, and Optimization
- Complex Systems and Decision Making
Cardiff University
2015-2024
University of Salford
2004-2018
University of Strathclyde
2018
Statistics Finland
2011-2012
University of Groningen
2009
Buckinghamshire New University
2006
Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds future is both exciting challenging, with individuals organisations seeking to minimise risks maximise utilities. large number forecasting applications calls for a diverse set methods tackle real-life challenges. This article provides non-systematic review theory practice forecasting. We provide an overview wide range theoretical, state-of-the-art models, methods, principles,...
ABC inventory classifications are widely used in practice, with demand value and volume as the most common ranking criteria. The standard approach applications is to set same service level for all stock keeping units (SKUs) a class. In this paper, we show (for three large real life datasets) that application of both criteria, fixed levels per class, leads solutions far from cost optimal. An alternative criterion proposed by Zhang et al. performs much better, but still considerably...
Recent years have witnessed companies abandon traditional open-loop supply chain structures in favour of closed-loop variants, a bid to mitigate environmental impacts and exploit economic opportunities. Central the paradigm is remanufacturing: restoration used products useful life. While this operational model has huge potential extend product life-cycles, collection recovery processes diminish effectiveness existing control mechanisms for systems. We systematically review literature field...
The operations management literature is abundant in discussions on the benefits of information sharing supply chains. However, there are many chains where may not be shared due to constraints such as compatibility systems, quality, trust and confidentiality. Furthermore, a steady stream papers has explored phenomenon known Downstream Demand Inference (DDI) upstream member chain can infer downstream demand without need for formal mechanism. Recent research shown that, under more realistic...
Abstract The direct‐from‐model and tool‐less manufacturing process of 3D printing (3DP) embodies a general‐purpose technology, facilitating capacity sharing outsourcing. Starting from case study 3DP company (Shapeways) new market entrant (Panalpina), we develop dynamic practices for partial outsourcing in build‐to‐model manufacturing. We propose scheme, bidirectional (BPO), where printers share by alternating between the role outsourcer subcontractor based on need. Coupled with order book...
Abstract Aspiring green agendas in conjunction with tremendous economic pressures are resulting an increased attention to the environment and technological innovations for improving existing logistics systems. Last mile logistics, particular, becoming much more than a consumer convenience necessity transportation optimization exercise. Rather, this area presents true opportunity foster both financial environmental sustainability. This paper investigates recent advancements pending needs...
Purpose Spare parts have become ubiquitous in modern societies and managing their requirements is an important challenging task with tremendous cost implications for the organisations that are holding relevant inventories. An operational issue involved management of spare categorising stock keeping units (SKUs) order to facilitate decision‐making respect forecasting control enable managers focus attention on most “important” SKUs. This has been overlooked academic literature although it...
Abstract Spare parts have become ubiquitous in modern societies, and managing their requirements is an important challenging task with tremendous cost implications for the organisations that are holding relevant inventories. Demand spare arises whenever a component fails or requires replacement, as such patterns different from those associated 'typical' stock keeping units. Such demand most often intermittent nature, meaning arrives infrequently interspersed by time periods no at all. A...
We are concerned with the interaction and integration between demand forecasting inventory control, in context of supply chain operations. The majority literature is fragmented. Forecasting research more often than not assumes to be an end itself, disregarding any subsequent stages computation that needed transform forecasts into replenishment decisions. Conversely, most contributions theory assume (and its parameters) known, effect preceding computation. Explicit recognition these...