The popularity of Six Sigma, as a means for improving quality, has grown exponentially in recent years. It is a proven methodology to achieve breakthrough improvement in process performance that generates significant savings to bottom line of an organization. This paper illustrates how Six Sigma methodology may be used to improve service processes. The purpose of this paper is to develop Six Sigma DMAIC methodologies that would help service organizations look into their processes. In addition, it demonstrates the vital linkages between process improvement and process variation. The study identifies critical process parameters and suggests a team structure for Six Sigma project in service operations.

A series of novel metal complexes containing metal atoms such as Zn, Co, Cu, Cd, Ni, Mg and Sn have been synthesized from 3-(1,3-benzoxazol-2-yl)naphthalen-2-ol. The synthesized ligand was well characterized by IR, 1H-NMR and mass spectrometry. The electrochemical properties were studied by cyclic voltammetric analysis. The synthesized complexes are fluorescent and absorb in the range of 317 to 323 nm while emit in the range of 371 to 416 nm with good quantum yield. All metal complexes show significant in vitro antibacterial activity against E. coli and S. aureus strains and in vitro antifungal activity against C. albicans and A. niger strains by using serial dilution method. The antibacterial activities were expressed as the minimum inhibitory concentration (MIC) in ?g/mL.

With globalization, sweeping technological development, and increasing competition, customers are placing greater demands on manufacturers to increase quality, flexibility, on time delivery of product and less cost. Therefore, manufacturers must develop and maintain a high degree of coherence among competitive priorities, order winning criteria and improvement activities. Thus, the production managers are making an attempt to transform their organization by adopting familiar and beneficial management philosophies like cellular manufacturing (CM), lean manufacturing (LM), green manufacturing (GM), total quality management (TQM), agile manufacturing (AM), and just in time manufacturing (JIT). The main objective of this paper is to propose an optimal assembly method for an engine manufacturer’s assembly line in India. Currently, the Indian manufacturer is following traditional assembly method where the raw materials for assembly are kept along the sideways of conveyor line. It consumes more floor space, more work in process inventory, more operator's walking time and more operator's walking distance per day. In order to reduce the above mentioned wastes, lean kitting assembly is suggested by some managers. Another group of managers suggest JIT assembly as it consumes very less inventory cost compared to other types of assembly processes. Hence, a Multi-attribute decision making model namely analytical hierarchy process (AHP) is applied to analyse the alternative assembly methods based on various important factors.

Historically, cash dividends are the most important form of payout policy; however, they have been losing popularity relative to share repurchases. This paper examines the signaling effect of the payout decisions namely, cash dividends and share repurchases by BSE 500 index companies. It attempts to uncover the underlying forces behind the firm’s choices of payout policy in the Indian context. Using the standard ‘Event Standard Methodology’, a strong case of positive signaling is reported in case of repurchase announcements vis-a-vis cash dividend announcements. It is observed that cash dividends are not perceived by investors as positive signals as they prefer their earnings to be retained by the companies for growth prospects. In case of share repurchases, the existence of undervaluation, signaling and wealth transfer hypotheses is reported, consistent with the fact the share repurchases are welcomed by the Indian companies. The results would provide insights into the economics of the choice between cash dividends versus share repurchases as payout mechanism adopted by the sample companies. The findings would also be useful to the academia as well as industry in understanding the payout practice and the extent to which the Indian managers use the assumptions, models and decision rules regarding payout.