Industrial engineering is an engineering discipline which, because of its multi-disciplinary nature, has played an important role in the development and optimization of different systems at macro and micro levels. In this paper, the results of a research to study the position and trend of Industrial Engineering research in recent years are described. The data from a sample of 7 114 IE-related articles from international journals during the last 27 years were used for the analysis. The results showed that the development of IE in many countries has a strong correlation with their industrial and economic development. However, IE research topics are spreading in other management and engineering departments and so there is a need to redefine the discipline and its specific areas of interest. According to the prediction made using time series analysis, the most favorite fields of IE research in future will be on subjects related to information technology, intelligent systems, optimization, quality, and supply chain management. OPSOMMINGBedryfsingenieurswese is 'n ingenieursdissipline wat vanweë die multi-dissiplinêre aard daarvan 'n belangrike rol gespeel het in die optimisering van verskillende sisteme op makroen mikrovlak. Hierdie artikel hou die resultate voor van 'n navorsingsprojek wat onderneem is om die posisie en rigting van Bedryfsingenieursnavorsing in onlangse jare te bepaal. Die data van 'n monster van 7 114 Bedryfsingenieursverwante artikels wat verskyn het in internasionale joernale oor die afgelope 27 jaar is gebruik vir die ontleding. Die resultate toon dat die groei van Bedryfsingenieurswese in verskeie lande sterk korreleer met industriële en ekonomiese ontwikkeling. Tog blyk dit dat die navorsingsonderwerpe van Bedryfsingenieurswese sprei na ander bestuurs-en ingenieursdepartemente en dus bestaan daar 'n nodigheid om die dissipline en die spesifieke belangstellingsvelde te herdefinieer. Volgens die vooruitskatting wat gedoen is met behulp van 'n tydreeksanalise, blyk dit dat die gunstelingterreine vir navorsing in die toekoms op die gebiede van inligtingstegnologie, intelligente sisteme, optimisering, gehalte en voorsienings-kettingbestuur sal wees.

Systemic risk events constitute an important issue in current financial systems. A leading course of action used to mitigate such events is identification of systemically important agents in order to implement the prudential policies in a financial system. In this paper, a bi-level cross-shareholding network of the stock market is considered according to direct and integrated ownership structure. Furthermore, different systemic risk indices are applied to identify systemically important companies in an early warning system. Results of application of these indices on cross-shareholding data from Tehran Stock Exchange show that integrated network indices produce more reliable results. Moreover, results of statistical analysis of the networks indicated the existence of scale-free characteristics in the TSE cross-shareholding network.

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In this paper, financial networks are applied to develop new measures of systemic risk. Using the CoVaR as a well-defined systemic risk measure, risk spillovers among different firms are estimated in Tehran Stock Exchange. Networks of systemic risk exposures are represented across time and two indices of vulnerability and systemic importance are introduced to define the most effective and vulnerable firms. The results show that the proposed network-based indices have a good performance to identify the vulnerable and systemically important firms. The results also show that when the market is in periods of financial downturn/crisis, the network interconnectedness was maximized.