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    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca

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    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    Drosia Serenity is not only an architectural gem but also a highly attractive investment opportunity. Located in the desirable residential area of Drosia, Larnaca, this modern development offers 5–7% annual rental yield, making it an ideal choice for investors seeking stable and lucrative returns in Cyprus' dynamic real estate market. Feel free to check the location on Google Maps.
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    Linear Programming in Industry: Theory and Applications An Introduction

    Posted By: AvaxGenius
    Linear Programming in Industry: Theory and Applications An Introduction

    Linear Programming in Industry: Theory and Applications An Introduction by Sven Danø
    English | PDF | 1974 | 182 Pages | ISBN : 3211811893 | 14.3 MB

    A. Planning Company Operations: The General Problem At more or less regular intervals, the management of an industrial enter­ prise is confronted with the problem of planning operations for a coming period. Within this category of management problems falls not only the overall planning of the company's aggregate production but problems of a more limited nature such as, for example, figuring the least-cost combina­ tion of raw materials for given output or the optimal transportation schedule. Any such problem of production planning is most rationally solved in two stages: (i) The first stage is to determine the feasible alternatives. For example, what alternative production schedules are at all compatible with the given capacity limitations? What combinations of raw materials satisfy the given quality specifications for the products? etc. The data required for solving this part of the problem are largely of a technological nature. (ii) The second is to select from among these alternatives one which is economically optimal: for example, the aggregate production programme which will lead to maximum profit, or the least-cost combination of raw materials. This is where the economist comes in; indeed, any economic problem is concerned with making a choice be.tween alternatives, using some criterion of optimal utilization of resources.
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