نتایج جستجو برای: site production planning hybrid mtsmto make

تعداد نتایج: 1600414  

1999
Gregory D. Durgin Theodore S. Rappaport Hao Xu

This paper presents a novel technique for organizing narrowband radio path loss measurements and nding optimal partition-based prediction models. The techniques may be applied to wireless system site planning for indoor, small-cell outdoor, and hybrid indoor-outdoor environments at any frequency. Speci cally, this paper develops path loss models using 5.85 GHz continuous-wave (CW) measurements ...

Journal: :به نژادی نهال و بذر 0
عباس جورکش a. jorkesh جمالعلی الفتی چیرانی j. a. olfati chirani department of horticultural science, college of agriculture, university of guilan, rasht, iran.گروه علوم باغبانی، دانشکده کشاورزی، دانشگاه گیلان، رشت یوسف حمیداوغلی y. hamidoghli رحیم برزگر h. barzegar

interspecific hybridization occurs among cucurbia species it is commonly used for grafting, yield increasing and production of pest resistant rootstocks. in the present research probability of interspecies hybrid generation among seven lines of cucurbita pepo (p1, p4, p5, p6, p10, p22, p25) and six lines of cucurbita moschata (mo3, mo5, mo6, mo9, mo11, mo12) were investigated. after crossing of...

2011
Gregory D. Durgin Theodore S. Rappaport Hao Xu

This paper presents a novel technique for organizing narrowband radio path loss measurements and finding opthnal partition-baseq prediction models. The techniques may be applied to wireless system site planning for indoor, small-cell outdoor, and hybrid indoor-outdoor environments at any frequency. Specifically, this paper develops path loss models using 5.85 GHz continuous-wave (C\V) measureme...

Journal: :European Journal of Operational Research 2009
Z. Caner Taskin A. Tamer Ünal

We investigate tactical level planning problems in float glass manufacturing. Float glass manufacturing is a process that has some unique properties such as uninterruptible production, random yields, partially controllable co-production compositions, complex relationships in sequencing of products, and substitutable products. Furthermore, changeover times and costs are very high, and production...

2003
Germán Riaño Szu Hui Ng Richard Serfozo Steven Hackman Peng Chan Peter Lendermann

A major problem in production planning is to determine when to release products into production to meet forecasted requirements. Recently, Riaño et al. (2002) proposed the Stochastic Production Planning (SPP) model for a multiperiod, multi-product system, where the lead time to produce a product may be random. The model determines release times for the products that ensure the requirements in e...

2007
P. Golinska M. Fertsch J. Marx Gómez J. Oleskow P. Pawlewski

The changing business environment in which manufacturers are acting creates the need for more effective production processes planning and control methods that are able to deal with uncertainties inherent in internal processes and external deliveries. The aim of the paper is to introduce the method for production planning and control applicable in conditions of supply chain (SC) able to overcome...

Journal: :Expert Syst. Appl. 2013
Florian T. Hecker Walid B. Hussein Olivier Paquet-Durand Mohamed A. Hussein Thomas Becker

The production of bakery goods is strictly time sensitive due to the complex biochemical processes during dough fermentation, which leads to special requirements for production planning and scheduling. Instead of mathematical methods scheduling is often completely based on the practical experience of the responsible employees in bakeries. This sometimes inconsiderate scheduling approach often l...

Journal: :Computers & Industrial Engineering 2003
Alistair R. Clark

The planning of a canning line at a drinks manufacturer is discussed and formulated as a mathematical programming model. Several alternative heuristic solution methods are developed, tested and compared on real data, illustrating the trade-offs between solution quality and computing time. The two most successful methods make hybrid use of local search and integer programming, but in rather diff...

Electricity demand forecasting is one of the most important factors in the planning, design, and operation of competitive electrical systems. However, most of the load forecasting methods are not accurate. Therefore, in order to increase the accuracy of the short-term electrical load forecast, this paper proposes a hybrid method for predicting electric load based on a deep neural network with a...

2013

A key requirement for the make-to-order (MTO) manufacturing companies to remain competitive is the ability to assess incoming orders in terms of performance and to determine the best orders that they should accept. In this paper, we propose a method to control the entire production process, from customer enquiry up to product delivery, for the MTO manufacturing systems. In practice, decisions o...

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