摘要:

Two multicriteria decision methodologies applied to evaluating capital investments are the Analytic Hierarchy Process (AHP) and the Non-Traditional Capital Investment Criteria (NCIC) model. In this paper we demonstrate that a mathematical relationship exists between these two models. In-particular, a data set obtained by one method can be mapped into an equivalent data set obtained using the other method. It is suggested that this offers an opportunity of empirically assessing decision makers judgmental capabilities under varying data collection methods. An example problem illustrates the manner in which such comparisons can be made.

ISSN:0013-791X    

DOI:10.1080/00137919708903178

出版商:Taylor & Francis Group    

年代:1997

数据来源: Taylor

摘要:

In this paper, we consider the problem of incorporating learning, forgetting, and the time-value of money into discrete time-varying demand lot-sizing models to determine lot sizes and relevant costs. The occurrence of forgetting is caused by a break between two intermittent production runs which leads to retrogression in learning and loss of labor productivity. A present value approach is used to discount the stream of future cost flows. This paper extends the original Wagner-Whitin algorithm and the classical EOQ model to models in which the effects of learning, forgetting, and the time-value of money are considered simultaneously. Numerical examples and computational results indicate that corresponding parameters for the three effects have significant effects on the determination of lot sizes and relevant costs. Comparisons among models with and without the three effects are also made.

ISSN:0013-791X    

DOI:10.1080/00137919708903179

出版商:Taylor & Francis Group    

年代:1997

数据来源: Taylor

摘要:

An integer programming model solving the demand constrained finite horizon parallel replacement problem with homogeneous assets is presented here with asset purchases, leases and rebuilds as viable replacement options. The model minimizes the purchase, operating, maintenance and salvage costs of a fleet of assets while meeting demand requirements. The formulation is adapted to handle both capital and expense rationing constraints. Computational experience with real sized problems in the transportation industry is discussed and small examples are provided for illustration.

ISSN:0013-791X    

DOI:10.1080/00137919708903180

出版商:Taylor & Francis Group    

年代:1997

数据来源: Taylor

摘要:

The traditional approach to learning engineering economy in undergraduate curricula typically focuses on solving problems in a deterministic manner. Students generally have little exposure to the uncertain and stochastic nature of, as examples, project cash flows and interest rates. Unfortunately, this traditional approach does not provide students with the skills to deal with real world situations, which inherently involve uncertainty and thereby, risk. In general, engineering economy texts for undergraduate students deal with uncertainty and risk only in brief chapters, usually at the end of the book. The uncertain environment is introduced as a special case, rather than as the norm. In this paper, we propose an approach to learning engineering economy that is integrated with an understanding of uncertainty; in fact, it considers the deterministic case as a special case. The availability of computers today facilitates introducing this uncertainty approach. Computer spreadsheets and software can provide students with the ability to analyze entire probability distributions. Such a junior or senior level engineering economy course would build on an earlier course in probability and statistics, as well as courses in design and computing. A plausible new engineering economy text that incorporates stochastic considerations is outlined herein.

ISSN:0013-791X    

DOI:10.1080/00137919708903181

出版商:Taylor & Francis Group    

年代:1997

数据来源: Taylor

ISSN:0013-791X    

DOI:10.1080/00137919708903182

出版商:Taylor & Francis Group    

年代:1997

数据来源: Taylor

ISSN:0013-791X    

DOI:10.1080/00137919708913040

出版商:Taylor & Francis Group    

年代:1997

数据来源: Taylor

ISSN:0013-791X    

DOI:10.1080/00137919708913041

出版商:Taylor & Francis Group    

年代:1997

数据来源: Taylor