Showing 1 - 10 of 34
at unplanned moments, its capacity to replenish inventory is considered limited. Analytical results partially …
Persistent link: https://www.econbiz.de/10010871235
Railway capacity is a concept that is not easily defined or quantified. Difficulties include the numerous interrelated … factors present in the already complex structure of the railway layout. In this paper capacity is defined as the maximum … junction capacity, track capacity, line capacity and interference probability between trains). The proposed method is based on …
Persistent link: https://www.econbiz.de/10010662509
total cost on a graph, such that all the edges are traversed less than the value of their capacity. This article introduces …
Persistent link: https://www.econbiz.de/10011052429
differential Cournot game with hyperbolic inverse demand, where firms accumulate capacity over time à la Ramsey. The subgame …
Persistent link: https://www.econbiz.de/10011052551
market coverage to premium-priced green rivals. In order to tackle this threat, many companies currently offering only brown … incorporates a segmented consumer market where individual consumers may value the same product differently, the economies of scale … and the learning effects associated with new green products, and capacity constraints for the current production system …
Persistent link: https://www.econbiz.de/10011117504
retailer, while the retailer sells the product bundled with after-sales service to consumers in a fully competitive market. The … sales volume is affected by the retailer’s service-level commitment. The retailer can build service capacity in-house at a … deterministic price before service demand is realized, or buy the service from an outsourcing market at an uncertain price after …
Persistent link: https://www.econbiz.de/10011097788
Selecting optimal location is a key decision problem in business and engineering. This research focuses to develop mathematical models for a special type of location problems called grid-based location problems. It uses a real-world problem of placing lights in a park to minimize the amount of...
Persistent link: https://www.econbiz.de/10010597657
Support Vector Machines (SVMs) is known to be a powerful nonparametric classification technique even for high-dimensional data. Although predictive ability is important, obtaining an easy-to-interpret classifier is also crucial in many applications. Linear SVM provides a classifier based on a...
Persistent link: https://www.econbiz.de/10010738147
capacity allocation in manufacturing systems and control parameters setting in pull systems. …
Persistent link: https://www.econbiz.de/10010871073
units. The main purpose of this model is to identify good policies for allocating available treatment capacity to incoming …
Persistent link: https://www.econbiz.de/10010871137