نتایج جستجو برای: sensitive demand multi

تعداد نتایج: 869015  

Here, we consider single vendor-buyer model with multi-product and multi-customer and multi-facility location-production-distribution problem. It is assumed that the players of the supply chain are coordinated by sharing information. Vendor manufactures produce different products at different plants with limited capacities and then distribute the products to the consumers according to determini...

In this paper, the issue of integrated supplier selection and inventory policy for a drug distribution company with multiple warehouses is examined. In this research, warehouses are faced with stochastic demand and inventory of their medicines is provided by one or more suppliers that are located in a given set of candidates with price, quality and characteristics of the disruption. In addition...

Journal: :علوم باغبانی 0
عبدالرضا سجادی نیا حمید روستا محمد سوری اصغر رحیمی

abstract in this study different proportions of nh4+ and no3- in the growth medium on plant growth were investigated in hydroponic greenhouse experiments. the objectives of these studies were to investigate if ammonium (nh4+) stress in cucumber, a species sensitive to nh4+ toxicity, can be alleviated by matching the nitrogen supply rate to the plant nitrogen demand. ammonium was applied at a re...

Kamlesh Kumar Madhu Jain

The integration of marketing and demand with logistics and inventories (supply side of companies) may cause multiple improvements; it can revolutionize the management of the revenue of rental companies, hotels, and airlines. In this paper, we develop a multi-objective pricing-inventory model for a retailer. Maximizing the retailer's profit and the service level are the objectives, and shorta...

2007

Intelligent agents have to be able to merge (possibly conflicting) pieces of information obtained from different sources to produce a coherent picture of the world. In this paper we propose a multi-agent model of context-sensitive merging. We show that the success of the model depends, to a large extent, on the availability of suitable merging operations on epistemic states. As a result, we inv...

2017
Stephan Böhme Thomas Kühn

Modelling context-dependent domains is hard, as capturing multiple context-dependent concepts and constraints easily leads to inconsistent models or unintended restrictions. However, current semantic technologies not yet support reasoning on context-dependent domains. To remedy this, we introduced ConDL, a set of novel description logics tailored to reason on contextual knowledge, as well as JC...

2015
Michal Sroka

Automated planning addresses the problem of generating a sequence of actions to satisfy given goal conditions for a constructed model of the world. In recent planning approaches heuristic guidance is used to lead the search towards the goal. The focus of this work is on domains where plan quality is assessed with plan metrics. A discussion of the impact of a popular relaxed planning graph heuri...

2015
Natalya Olegovna Garanina Elena A. Sidorova

We study a problem of information retrieval and ambiguity resolution for ontology population. The process for retrieval of information in a form of a set of ontology instances is presented as a Scott information system. This representation proves termination of the process. The Scott information system is a basis for our approach to context-dependent ambiguity resolution. This system generates ...

2010
Juan Pino Gonzalo Iglesias Adrià de Gispert Graeme W. Blackwood Jamie Brunning William J. Byrne

This paper describes the Cambridge University Engineering Department submission to the Fifth Workshop on Statistical Machine Translation. We report results for the French-English and Spanish-English shared translation tasks in both directions. The CUED system is based on HiFST, a hierarchical phrase-based decoder implemented using weighted finite-state transducers. In the French-English task, w...

Journal: :CoRR 2015
Shuai Li Claudio Gentile Alexandros Karatzoglou Giovanni Zappella

We investigate two context-dependent clustering techniques for content recommendation based on exploration-exploitation strategies in contextual multiarmed bandit settings. Our algorithms dynamically group users based on the items under consideration and, possibly, group items based on the similarity of the clusterings induced over the users. The resulting algorithm thus takes advantage of pref...

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