用MEREC和WISP-S方法选择托盘车

IF 2 Q3 MANAGEMENT Strategic Management Pub Date : 2022-01-01 DOI:10.5937/straman2200013u
A. Ulutaş, D. Stanujkić, D. Karabašević, G. Popović, S. Novaković
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引用次数: 9

摘要

背景:本文提出了一种基于MEREC和WISPS方法的托盘车选择MCDM模型。目的:本研究的主要目的是将一种新的MCDM模型应用于纺织车间的托盘车选择。研究设计/方法学/方法:本文介绍了简单加权和积(WISP)方法的简化采用,即简化WISP (WISP- s)方法。与常规的WISP方法相比,该方法的计算步骤更少。此外,本研究将文献中MEREC方法与WISPS方法相结合,提出了一种新的混合MCDM模型。发现/结论:与常规WISP相比,所获得的结果可以在更短的时间内获得。本研究考虑了新方法的应用。为了验证WISPS方法是否能获得准确的结果,将WISPS方法的结果与ROV和WASPAS方法的结果进行了比较。通过对两种方法结果的比较,可以看出WISPS方法获得了准确的结果。局限性/未来研究:作为未来研究的一个方向,其他MCDM模型可以用于解决同样的问题。当谈到所提出的模型的局限性时,可以提到MCDM模型是基于使用清晰的数字。
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Pallet truck selection with MEREC and WISP-S methods
Background: The article presents an MCDM model based on the MEREC and WISPS methods for pallet truck selection. Purpose: The main purpose of the study was to apply a new MCDM model for pallet truck selection in the textile workshop. Study design/methodology/approach: This article presents a simplified adoption of the Simple Weighted Sum Product (WISP) method, the Simplified WISP (WISP-S) method. The proposed method has fewer computation steps than the regular WISP method. In addition, this study proposes a new hybrid MCDM model in the literature by combining the MEREC method and the WISPS method. Finding/conclusions: The obtained results can be achieved in a shorter time compared to regular WISP. The application of the new method is considered in this study. In order to check whether the WISPS method achieves accurate results, the results of the WISPS method and the results of the ROV and WASPAS methods were compared. As a result of the comparison of the results of the methods, it was observed that the WISPS method achieved accurate results. Limitations/future research: As a direction for future research, other MCDM models can be applied for solving the same problem. When it comes to the limitations of the proposed model, it can be mentioned that the MCDM model is based on the use of crisp numbers.
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来源期刊
Strategic Management
Strategic Management MANAGEMENT-
自引率
8.30%
发文量
17
审稿时长
12 weeks
期刊最新文献
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