불포화 벤토나이트 완충재의 수분흡입력은 공학적방벽의 수리-역학적 성능평가 및 설계에 있어 매우 중요한 입력인자이다. 본 연구에서는 문헌에 보고된 불포화 다공성매질의 수분흡입력 측정기술과 구성모델을 분석하고, 고준위폐기물처분장의 벤토나이트 완충재에 적합한 수분흡입력 측정기술과 구성모델을 제안하였다. 문헌 분석결과, 벤토나이트 완충재의 수분흡입력은 일반토질보다 훨씬 높은 값을 가지며, 매트릭수분흡입력과 삼투흡입력을 포함하는 총수분흡입력을 측정하여 사용하였다. 벤토나이트 완충재의 수분흡입력 측정에는 상대습도센서를 이용한 측정방법(RH-Cell, RH-Cell/Sensor)이 적합하였으며, 핵종 붕괴열에 의한 온도변화와 측정 소요시간을 고려했을 때에는 RH-Cell/Sensor 방법이 더 선호되었다. 벤토나이트 완충재의 수분보유모델은 실험을 통해 여러 가지 모델이 제안되었지만, 불포화 완충재의 수리-역학적 성능평가 구성모델로는 대부분 van Genuchten모델이 사용되었다. 벤토나이트 완충재의 수분특성곡선은 벤토나이트의 종류, 건조밀도, 온도, 염도, 측정 시 시료상태와 이력과정에 따라 서로 다른 경향을 보였다. 수분보유모델의 선정 및 모델인자 결정에는 신뢰도 향상을 위해 이러한 인자들의 영향이 고려되어야 한다.

Specifics of emerging markets raise some questions on the applicability of wellestablished marketing concepts and scales, widely used in the developed markets, in the context of emerging markets. Over the past twenty years emerging markets have remained one of the main focus of marketing research. The interest of the researchers to the emerging markets is not accidental, it is caused by the peculiarities of the developing markets. Specific features of the emerging markets challenge the use of approaches designed for developed markets in emerging markets. Existing research describes peculiarities of emerging markets and shows the evidence of inability to use the theories designed in the developed markets in emerging markets (Burgess, Steenkamp, 2006; Sheth, 2011). The external environment and the increasing competition force companies to rethink their marketing activities and seek new sources of competitive advantages, and one of the primary tasks for the company is the development of customer orientation (Jacob, 2006; Ellis, 2006; Frambach, Fiss, Ingenbleek, 2016). Customer orientation (CO), as one of the key concepts of contemporary marketing, requires rethinking in the context of emerging markets (Sheth, 2011; Roersen, Kraaijenbrink, Groen, 2013; Smirnova, Rebiazina, Frosen, 2018). The purpose of this paper is to develop a tool for a complex evaluation of the company’s CO adapted to the specifics of the Russian emerging market. The empirical study includes mixed qualitative-quantitative design: at the first stage a quantitative survey with representatives of 239 companies operating in the Russian market, and at the second - 62 in-depth interviews were conducted to test the CO scale’s applicability to the Russian market.

This research introduces the Financial Effect Measurement (FEM) models which measures both the improvement and the innovation performance of Quality Control Circle (QCC) and activities of Six Sigma. Concepts and principle of Comprehensive Income Statement (CIS), Balanced Scorecard (BSC), Time-Driven Activity Based-Costing (TDABC) and Total Productive Maintenance (TPM) are applied in order to develop the 4 FEM models presented in this paper. First of all, FEM using CIS depicts the improvement effects of production capacity and yield using relationships between demand and supply, and line balancing efficiency between bottleneck process and non-bottleneck processes . Secondly, cause-and-effect relation of Key Performance Indicator (KPI) is used to present Critical Success Factor (CSF) effects for QC Story 15 steps of QCC and DMAIC (Define, Measure, Analyze, Improve, and Control) of Six Sigma. The next is FEM model for service management innovation activities that uses TDABC to calculate the time-driven effect for improving the indirect activities according to the cost object. Lastly, FEM model for TPM activities presents the interpretation of improvement effect model of TPM Capital Expenditure (CAPEX) and Operating Expenditure (OPEX) maintenance using profit, cash and Economic Added Value (EVA) as metrics of enterprise values. To better understand and further investigate FEMs, recent cases on National Quality Circle Contest are used to evaluate new financial effect measurement developed in this paper.

The study focuses on the Repeated Measurements Design (RMD) which observations are periodically made for identical subjects within definite time periods. One of the purposes of this design is to monitor and keep track of replicated records within regular period over years. This paper also presents the classification models of RMD that is developed according to the number of factors in Between-Subject (BS) variates and Within-Subject (WS) variates. The types of models belong to each number of factors: One factor is 0BS 1WS. Two factors are 1BS 1WS and 0BS 2WS. Three factors are 1BS 2WS and 2BS 1WS. Lastly, the four factors include model of 2BS 2WS In addition, the study explains the generation mechanism of models for RMD using Generalizability Design (GD). GD is a useful method for practitioners to identify linear model of experimental design, since it generates a Venn diagram. Lastly, the research develops three types of 1BS 2WS RMDs with crossed factors and nested factors. Those are random models, mixed models and fixed models and they are presented by using Generalizability Design, (S:A×B)×C. Moreover, the example of applications and its implementation steps of models developed in the study are presented for better comprehension.

The present study contributes reviewing and suggesting various models for measurement system analysis (MSA). Measurement errors consist of accuracy, linearity, stability, part precision, repeatability and reproducibility (R&R). First, the major content presents split-plot design, and the combination method of crossed and nested design for obtaining gage R&R. Second, we propose x-s variable control chart for calculating the gage R&R and number of distinct category. Lastly, investigating the determination of gage performance curve which establishes the control specification propagating calibration uncertainties and measurement errors is described.