To maximize the operational efficiency of production and operations systems, Six Sigma and Lean Production System have been widely used. The main focus of Six Sigma is reducing variations, whereas that of Lean Production System is eliminating losses. To take advantage of the two approaches Six Sigma and Lean Production System was integrated into Lean Six Sigma, and the integrated approach has been used in recent years. In the implementation of Lean Six Sigma, the problems under consideration have often physical or technical contradictions which are difficult to be solved by conventional methods. To solve such contradictions TRIZ is useful in many cases. In this thesis, it is considered that how TRIZ can be applied to Lean Six Sigma. An integrated road-map of Lean Six Sigma and TRIZ is suggested and some cases are reviewed.

Today, many companies will be isolated in competition if they do not have competitive power to overcome quick change and big crisis of market. Nowadays, globally high-grade companies have done their best for increasing their competitive power through a many kinds of methods in keen competition for making of pacesetting position. This study focuses on distribution with the domains like capacity, layout, amount of location, assignment of product, operation procedure and operation rule in order to improve these domains, we make a further application of eight analysis ways based on DMAIC method for improving operation of processes of distribution center as the third profit source. The purpose of this study is to seek an approach that can easily adopt of Lean Six Sigma in operational management of distribution center by a kind of data, analysis method and template.

In most recent years, the business competition has spreads over all fields of corporations and their management area regardless of time and place, which makes the survival environment of each enterprise fiercer. In order to secure a high position in the competitive market, the various firms has implemented many methods related to price, quality, and service efficiency. However, the implementation with only low price or high quality might be helpless to hold a high position in modem market. Moreover more attention should be paid to the internal business processes of an organization. Therefore, a new and different method should be searched or developed in order to win the competitive power among other enterprises. This research will focus on the improvement of the business processes within the non-manufacturing industry by applying Lean Six Sigma methodology. DMAIC method will be applied to improve the inbound and outbound logistics processes, manage the inbound and outbound vehicles, and control the receiving and shipping activities.

Nowadays, globally high-grade companies have done their best for increasing their competitive power through a many kinds of method in incisive competition for making certain of a pacesetting position. Among the rest, Six Sigma have been the best methodology of improving process and have proven to be effective by the result of improving process in many of manufacturing business, however, it has not obtained excellent results in the transaction business. In transaction business, a 30~50% costs in total costs is generated by slow-speed working and reworking. The slow processes decrease the quality and increase the cost, which decreases customer satisfaction, and finally the income is decreased. All of them are so called wastes in processes. For this, adopting of lean six sigma methodology in process management can eliminate the wastes and reduce the variation. This study focuses on distribution with the domains like capacity, layout, amount of location, assignment of product, operation procedure and operation rule in order to improve these domains, we make a further application of eight analysis ways based on DMAIC method for improving operation of processes of distribution center as the third profit source. The goal of this study is to trace an approach that can easily adopt of Lean Six Sigma in operational management of distribution center by a kind of data, analysis method and template.