Jasmina Omerbegović-Bijelović’s research while affiliated with University of Belgrade and other places

In this paper, authors present a planning tool for management quality improvement (MQI) in supply chains (SC). This type of tool was implemented in an SME - a water cooler distribution firm La Fantana, Serbia. The main idea of this paper is to use the Key performance indicators (KPI) and Excel-spreadsheets as planning tools for MQI, especially for SMEs that don’t have enough money for expensive ERP programs and another information systems. Many KPIs are taken into account, which are certainly applicable within MQI (SME). Bearing in mind: a) the usability of KPIs and spreadsheets in MQI, and b) low price and widely found competency for working with spreadsheets, c) example from practice (case study from the above mentioned SME), the authors confirm that spreadsheets are applicable as an excellent tool for planning in SME and for MQI. Besides that, authors present a set of KPIs that can be used in measuring distribution process performances. By observing the complexity of those KPIs, the authors realize that they have a tree-structure, so they suggest ways of their decomposition.

Stock cover refers to the length of time that available inventory will last if forecasted consumption occurs. It is represented by the key performance indicator calculating the number of days of forecasted consumption which the current stock level can face. The identified problem is that production companies in the fast changing environment are facing an increasing pressure to reduce working capital in order to manage planning and replenishment of a growing variety of products and to deliver a certain level of customer satisfaction. In practice, when calculating the "Stock Cover" indicator companies opt for one of three ways, among which there are large deviations in planning frequency and launching the orders for procurement or/and production, as well as a wide aberration in the volume of customer orders (hence stock); which directly affects costs and competitiveness of enterprises. Lean management of inventories assumes keeping a stock in defined corridors, triggering replenishment at the right time and continuously reducing working capital. The idea of the authors of this study was: make "Stock Cover" indicator more efficient and effective in the operational management of production and/or distribution companies using the "Balanced Stock Cover". The goal of this paper is to recognize the possibilities to apply "Stock Cover” as a key performance indicator set in a balanced way to support the decision making process in inventory replenishment.

This paper presents an approach for measuring the efficiency of ski centres (more precisely: ski resorts) on the example of Serbia. Used approach is based on the well-known Data Envelopment Analysis (DEA). Through optimization models and the principles of benchmarking, DEA measures the relative efficiency of units to be decided (Decision Making Units-DMUs) and compares them with each other. Ski resorts that are observed in this study, are analysed and compared base on several years' data. The data are obtained from the core service process that most of ski resorts in Serbia provide to their customers-skiers. Indicators of performance were measured during the four ski-seasons. These indicators were used as input and output data in Data Envelopment Analysis of success of ski resorts. As a result of this analysis, the rankings of the ski seasons by observed ski resorts were obtained. This analysis can determine the parameters that are crucial to the success and efficiency of the analysed ski resorts. Furthermore, it can recommend suggestions in defining priority objectives and actions to improve their efficiency.