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Project prioritizing in a manufacturing – service enterprise with application of the fuzzy logic

Marek-Kolodziej Katarzyna, Lapunka Iwona

Management and Production Engineering Review

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2020

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Vol. 11, No. 4

81--91

EN

The article includes presentation of fuzzy numbers application in projects prioritizing at manufacturing and service providing enterprises. The following criteria have been applied as a basis for projects prioritizing analysis in enterprise: NPV index, linked with the enterprise strategic aims, project execution cost, project time, project scope and risk. As the criteria selected were of measurable and non-measurable character in projects prioritizing evaluation, the fuzzy decision making system has been developed, in which a linguistic value has been defined for each criterion of projects prioritizing. Knowledge base has been developed afterwards, presenting cause-effect dependencies in projects prioritizing. Knowledge base consisted of conditional rules. Fuzzy system of decision making in project prioritizing has been developed in MATLAB application. The decision making fuzzy system established, constitutes an efficient tool for projects prioritizing, on the basis of criteria given and concluding system developed. The obtained analysis results provide basis for the decision making parties to set the projects execution sequences.

2

On the right approach to selecting a quality improvement project in manufacturing industries

Mittal K., Tewari P. C., Khanduja D.

Operations Research and Decisions

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2017

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Vol. 27, No. 1

105--124

EN

Continuous improvement is the core of any successful firm. Talking about manufacturing industries, there is huge potential for continuous improvement to be made in various work areas. Such improvement can be made in any section of industry in any form such as quality improvement, waste minimization, system improvement, layout improvement, ergonomics, cost savings, etc. This case study considers an example of a manufacturing firm which wanted to start a quality improvement project (QIP) on its premises. Various products were available, but with dwindling quality levels. However, the real task was the choice of a product for upcoming QIP, as it is well known that success heavily depends upon the selection of a particular project. This is also because of the amount of effort in terms of time, money and manpower that is put into a project nowadays. The authors’ objective was to compare three techniques, namely, cost of poor quality (COPQ), conditional probability and fuzzy TOPSIS for selecting the right project based on this specific firm. The pros and cons of these approaches have also been discussed. This study should prove to be instructive for the realization of QIPs in similar types of industry.

3

The multi-criteria approach to project selection based on the fuzzy sets theory

Łapuńka I.

Research in Logistics & Production

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2012

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Vol. 2, No. 2

193-203

EN

This paper describes an approach to multi-criteria evaluation of project variants based on the fuzzy set theory. The multi-criteria evaluation based on the criteria proposed by experts or decision-makers in the planning phase, during which it is critical to document the tasks to be completed in a project schedule. Fuzzy sets theory transforms criterion indicators into variants fuzzy partial evaluations by means of transformation functions. The method facilitates comparison of different values by transformation to the fuzzy numbers from the range of „´0, 1„Ä.The presented approach offers support for the decision makers in making various kinds of decisions, in all situations when we may determine an evaluation criteria set. Moreover, it takes into consideration versatility of criteria, their hierarchy and expertsˇŚ uncertainty; at the same time it is efficient and quite simple to be implemented in real decision problems.

4

Podstawy wyboru metody wspomagającej podejmowanie decyzji w budownictwie

Gajzler M., Dziadosz A., Szymański P.

Czasopismo Techniczne. Budownictwo

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2010

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R. 107, z. 1-B

71-84

PL

Poszukiwaniu skomplikowanych metod analizy danych sprzyja złożoność i wieloaspektowość poruszanych problemów. Problematyka związana z produkcją budowlaną zachęca do poznawania nowych, jak również ich znanych od wielu lat metod w celu zaadaptowania ich do odmiennych zagadnień (różne dziedziny czy branże). W artykule skupiono uwagę na możliwości wykorzystania wybranych narzędzi z punktu widzenia jakości uzyskanych danych. Jako przykład podjęto próbę wykorzystania popularnego i rozpowszechnionego w literaturze zagadnienia selekcji przedsięwzięć inwestycyjnych.

EN

The complexity and multi-aspect nature of problems supports the search of various and more complex methods of data analysis. This paper is focused on a description of diverse methods and tools as well as on showing their possibilities. The quality of results is very crucial in decision-making process. The project selection problem was used as the background.

5

Ocena i selekcja inwestycji budowlanych z wykorzystaniem analitycznego procesu hierarchicznego (AHP)

Dziadosz A.

Czasopismo Techniczne. Budownictwo

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2008

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R. 105, z. 1-B

41-51

PL

Głównym celem artykułu jest przedstawienie procedury selekcji inwestycji budowlanych, która pozwoli na wieloaspektową analizę wyszczególnionych przez inwestora wariantów, prowadząc do wyboru najlepszego rozwiązania ze względu na przyjęte kryteria. Zaproponowana procedura oparta została na metodologii AHP, dzięki której możliwe było uwzględnienie w analizie kryteriów ilościowych oraz jakościowych.

EN

This paper presents the Analytical Hierarchy Process (AHP) as a potential decision making method for use in building investment selection. Hierarchical structure project selection problem is constructed for the benefits and costs, separately. Partial results were aggregated in the step fallowing. Sensitivity analysis is performed to check the sensitivity of the final decisions.

6

Odporny wybór projektów inwestycyjnych

Kuchta D.

Badania Operacyjne i Decyzje

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2008

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nr 4

61-70

PL

Zaproponowano zastosowanie podejścia odpornego do wyboru jednego spośród zbioru projektów inwestycyjnych. Omówiono zasady podejścia odpornego i różne, stosowane w nim kryteria decyzyjne. Zaproponowano algorytm pozwalający zastosować to podejście do wyboru projektów inwestycyjnych, zwracając uwagę na numeryczną stronę zastosowania algorytmu. Następnie zaprezentowano przykład liczbowy.

EN

In the paper we discuss the problem of selecting one investment project from a set containing several projects in the situation when their parameters (above all the cash flows) are still unknown exactly. In such a situation the choice of one project is not unequivocal. While taking similar decisions, various approaches are used: probabilistic, fuzzy, and recently more and more often the robust one. The robust approach an approach which assures us that we will choose a fair project, no matter what its actual parameters will be (which will become known only in the future). In the robust approach various criteria are applied, most often the criterion of the worst scenario and the one of the smallest regret. It is these criteria that we apply here to the choice of investment projects. For both criteria we give an exact algorithm, allowing to determine the best project in the respect to the respective criterion. The algorithm is good from the computational point of view also for a big number of projects, from among which we are to choose one, because it is based on the well known simplex algorithm. We illustrate our approach with a numerical example. It shows that both criteria may give different solutions, thus the method proposed here does not an unequivocal answer. However, when we analyze both solutions we notice that it is precisely both criteria together that can distinguish a set of those projects which are the best ones. The decision maker can choose from this heavily reduced projects group one project, using non-quantitative criteria (often political ones), which exist in each decision situation, but which are difficult to include in the general model.

7

Computer-based decision models for R&D project selection in public organizations

Fernandez E., Navarro J.

Foundations of Computing and Decision Sciences

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2005

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Vol. 30, No. 2

103-131

EN

Project selection is the most important problem concerning R&D management in public organizations, where weak heuristics are used for evaluating projects and making decisions about final portfolios. We propose here an integrated approach for analyzing projects and solving portfolio problems whose central parts are the use of decision tables as models of decision-maker's preferences and beliefs, and a mode! of R&D portfolio quality derived from Utility Theory and based on fuzzy sets to model some sources of imprecision. The resulting optimization problem is very complex in order to be solved by classical mathematical programming methods, so we propose an evolutionary algorithm able to achieve a strong improvement of the quality of solution. Some results are applicable in other problems outside the scope of this paper.