Hatékonyság növelése tervezéssel - avagy: aggregált tervezés alkalmazása egy magyar vállalatnál = Improving efficiency with production planning - Applying aggregate planning at a Hungarian company

A cikk alapvető kérdése, hogy miképpen használható a tervezés a termelési folyamatok, s ezzel a vállalati m}uködés egészének hatékonyságnövelése érdekében. A termeléstervezés szintjei és eszközei közül a középtávú aggregált tervezésre koncentrálunk. Ennek oka elsősorban az, hogy tapasztalatunk szerinte tervezési szint gyakorlati alkalmazása még nem tekinthető elterjedtnek, s ebből következően az eszköz alaposabb ismerete és alkalmazásának elterjedése jelentős tartalékokat tárhat fel a m}uködési hatékonyság növelése terén. A dolgozat a termeléstervezés klasszikusnak tekinthető modelljét alkalmazza egy hazai vállalat esetében. Az elemzés során vizsgáljuk a modell alkalmazhatóságát és a különböző tervezési alternatívák hatását a hatékonyság növelésére. A modell számítógépes megoldását a Microsoft Excel Solver programjával végeztük. _______ The article demonstrates how production planning, especially aggregate production planning can positively influence the competitiveness of production firms. First the structure of production planning, different, but interconnected levels of it are introduced than the aggregate planning is elaborated in more details. Reason for focusing on aggregate planning lies in the fact that according to our experience aggregate planning is an operation planning method applied least of all production planning methods in Hungary. Due to this we are convinced that demonstrating a real case study in this area can help managers to realize that adopting it can significantly influence e±ciency in operation and represent important source of development. We applied a classic aggregate planning model for a Hungarian producing company. We have tested the adaptability of the model and also the effect of different concrete planning scenarios on efficiency. Solution of the mathematical model is calculated using the program of Microsoft Excel Solver.

Effects of the current financial and economic crisis on the rural landscape as well as the agri-food sector in Europe and Central Asia

This paper reviews the expected effects of the current financial crisis and subsequent recession on the rural landscape, in particular the agri-food sector in Europe and Central Asia (ECA) on the basis of the structure of the rural economy and of different organisations and institutions. Empirical evidence suggests that the crisis has hit the ECA region the hardest. Agriculture contributes about 9% to gross domestic product (GDP) for the ECA region as a whole with 16% of the population being employed in the agricultural sector. As far as the impact of the financial crisis on the agri-food sector is concerned, there are a few interconnected issues: (1) reduction in income elastic food demand and commodity price decline, (2) loss of employment and earnings of rural people working in urban centres, implying also costly labour reallocation, (3) rising rural poverty originating mainly from lack of opportunities in the non-farm sector and a sizable decline of international remittances, (4) tightening of agricultural credit markets, and the (5) collapse of sectoral government support programs and social safety-net measures in many countries. The paper reveals how the crisis hit farming and broader agri-business differently in general and in the ECA sub-regions.

Global economics governance in the post-crisis world

The Great Crisis has made it clear once again that avoiding the derailment of globalization of trade and finance and the protecting the globe from fragmentation call for enhanced global cooperation and an efficient, flexible and coherent system of global governance. Three interconnected levels (national, regional, and global) comprise the system of global governance. This paper is dealing with some of the main issues of global economic governance in the post-crisis world. It reveals that the turbulence and the distress of the world of the early 21st century have deeper roots and broader sources than the crisis. Global governance therefore has to respond much broader set of challenges in comprehensive framework and long term perspective.

Sales-marketing interface and company performance. Is information use the missing link?

Over the last couple of years there has been an ongoing debate on how sales managers contribute to organizational value. Direct measures between sales-marketing interface quality and company performance are compromised, as company performance is influenced by a plethora of other factors. We advocate that the use of sales information is the missing link between sales-marketing relationship quality and organizational outcomes. We propose and empirically test a model on how sales-marketing interface quality affects managerial use of sales information, which in turn leads to enhanced organizational performance. We found that marketing managers rely on sales information if they think that their sales counterpart is trustworthy. Integration between the sales-marketing function contributes to a trust-based relationship.

Measuring centrality by a generalization of degree

Network analysis has emerged as a key technique in communication studies, economics, geography, history and sociology, among others. A fundamental issue is how to identify key nodes in a network, for which purpose a number of centrality measures have been developed. This paper proposes a new parametric family of centrality measures called generalized degree. It is based on the idea that a relationship to a more interconnected node contributes to centrality in a greater extent than a connection to a less central one. Generalized degree improves on degree by redistributing its sum over the network with the consideration of the global structure. Application of the measure is supported by a set of basic properties. A sufficient condition is given for generalized degree to be rank monotonic, excluding counter-intuitive changes in the centrality ranking after certain modifications of the network. The measure has a graph interpretation and can be calculated iteratively. Generalized degree is recommended to apply besides degree since it preserves most favorable attributes of degree, but better reflects the role of the nodes in the network and has an increased ability to distinguish between their importance.