http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
製造企業에서의 生産性 向上을 위한 統計的 技法의 適用方案에 관한 硏究
黃末東 한국기업경영학회 1996 기업경영연구 Vol.3 No.1
This paper reviews several techinques and theorems which can be served as a foundation for achieving managerial goals, aiming at productive, reasinable, efficient and scientific activity of firms and deciding the managerial plans such as the production plan, personnel plan, purchase plan and financial plan of firms. Thoes techniques and theorems deals with multivariate solution techniques, the degree of belongs of fuzzy set, quantitative theorem of fuzzy events, Ⅰ, Ⅱ, Ⅲ, and Ⅳ. Especially, regression equation, auto regression and auto correlation of multivariate solution techniques can play critical roles in making decisions and forecast of production, purchase, demand and supply of firms. Without precise forecast of their production and sale, firms fail to achieve their managrial goals since they could lose profit opportunities. This paper suggests various techniques which can make a contribution to the solution of these probles. In particular, new quantitative theorems of fuzzy enents, Ⅰ, Ⅱ, Ⅲ, Ⅳ are discussed consistently. It should be stressed in those theorems that dealing events should have a clear set and a reasonable degree of belongs. There are no clear critria for classifying firms into information industry and th non-manufacturing industry. In analyzing information industry and venture business, we whould consider the level of creteria for classifying firms into information industry and venture business. Especially, if the degree of belongings has value, 1 or 0, the techniques with which this paper deals are not the extension of the quantitative theorems of fuzzy enents as mians of the previous quantitative theorems.
황말동 한국기업경영학회 1999 기업경영연구 Vol.6 No.2
How do you define quality? A curt response might be, "I really can`t define it, but I sure do know it when I see it." A more reflective observer might say, "Quality is in the eye of the beholder." Assertions such as these frequently are offered as flippant response to the question. nevertheless they do offer some insight into the true nature of "quality" because they focus directly on the respondent rather than on a thing or an action being judged. In the popular sense, identifying quality is purely a judgement call. It is entirely dependent on the perception of the individuals, or collection of individuals, making the determination. You and I may agree on the quality of something, or we may completely disagree. If the good, service, activity, or whatever satisfies us, we judge it to be something of quality. If we are not satisfied, we judge it to lack quality. In the popular sense, we judge the degree of excellence of a good or service by comparing it explicitly or implicitly to something else and in the context of our life experience. The people who make the satisfaction judgement calls may be described as customers. Service professional, such as lawyers or engineers, may prefer to call them clients; computer service companies may call them users or subscribers; doctors use the term patients; educators prefer the term students; the customers of live entertainment performances may be called audiences or fans. It is a matter of complete indifference what term is used; in the broadest sense they all are customers and they are the ones that must be satisfied. Quality, then, must be judged in terms of customer satisfaction. Webster`s International Dictionary offers the following ad its first two definitions of the noun quality: 1a. peculiar or essential character; 1b. a distinctive inherent feature; property, virtue. 2a. degree of excellence; degree of conformance to standard; 2b. inherent or intrinsic excellence of character or type; superiority in kind.