A modified TOPSIS with a different ranking index

Kuo, Ting Jung

doi:10.1016/j.ejor.2016.11.052

Cited by 218 publications

(100 citation statements)

References 57 publications

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“…There are different optimum values from different decision-making angles. The entropy weight method and TOPSIS method have been proven to be an efficient way to select the optimal scheme [74][75][76][77]. Follow the following steps to evaluate the project:…”

Section: Determine the Optimal Schemementioning

confidence: 99%

Research on Collaborative Planning and Symmetric Scheduling for Parallel Shipbuilding Projects in the Open Distributed Manufacturing Environment

Mao

Guo

et al. 2020

Symmetry

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In the current distributed manufacturing environment, more extensive enterprise cooperation is an effective means for shipbuilding companies to increase the competitiveness. However, considering the project scale and the uneven production capacity between the collaborative enterprises, a key issue for shipbuilding companies is to effectively combine the product-oriented project tasks and the specialized production-oriented plants. Due to information privatization, the decision-making process of project planning and scheduling is distributed and symmetric. Existing project scheduling methods and collaboration mechanisms in the shipbuilding industry are somehow inefficient. The aim of the research is to provide an assistant decision-making method to support effective task dispatching and multi-party cooperation for better utilization of the distributed resources and to help project managers control the shipbuilding process. The article initially establishes an agent-based complex shipbuilding project collaborative planning and symmetric scheduling framework, simulating the distributed collaborative decision-making process and bridging the multi-project planning with the individual project scheduling in much detail, which fills the research gap. A negotiation method based on iterative combination auction (ICA) is further proposed to solve the integration problem of project planning and task scheduling, and an illustrative example is conducted to demonstrate the effectiveness and rationality of the methods. Finally, an application case using a prototype system on shipbuilding projects collaborative planning and scheduling will be reported as a result.

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Section: Determine the Optimal Schemementioning

confidence: 99%

Research on Collaborative Planning and Symmetric Scheduling for Parallel Shipbuilding Projects in the Open Distributed Manufacturing Environment

Mao

Guo

et al. 2020

Symmetry

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“…Our work tries to use TOPSIS as basic model in slope stability evaluation. Its basic principle about solving multitarget decision-making problems can be roughly described as follows [17,22]:…”

Section: Technique For Order Preference By Similarity To Ideal Solutimentioning

confidence: 99%

A New Evaluation Method for Slope Stability Based on TOPSIS and MCS

Chen

Zhao

Liu

et al. 2020

Advances in Civil Engineering

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Slope evaluation is a basic geotechnical engineering issue. The rationality of index weight greatly affects the accuracy of evaluation results in the evaluation system. Furthermore, in practical engineering, some indexes can be considered random variables obeying a certain distribution. Traditional evaluation methods of slope stability ignore the effect of this index uncertainty. Therefore, it is necessary to obtain the evaluation results of slope stability reasonably by modifying the previous weighting methods and considering the uncertainty values of the indexes. A new method has been introduced to solve the problem mentioned previously based on TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and Monte Carlo simulation (MCS). TOPSIS is used as a basic model for evaluating slope stability. TOPSIS and MCS are coupled to establish multiobjective optimization simulation model, which can search the more optimal and reliable weight. The optimal weight is then substituted into the TOPSIS basic model to calculate the status of slope stability. In this calculation process, MCS is introduced into the TOPSIS basic model to consider the uncertainty value of index. The new method of evaluating slope stability was demonstrated by taking a practical project as an example. Compared with other weighting methods, the coupled TOPSIS and MCS model can obtain the most reliable weight, and the reliability is 48.7%. Then, the evaluation of slope stability was examined with the certainty and uncertainty cases, respectively. The results demonstrate that the proposed new evaluation method is more realistic than the traditional methods for evaluating the slope stability. The new method has high accuracy and is easy to use.

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“…For summarizing part (13) For multiplication part (14) Step 3: Joint general criteria of a weighted combination of additive and multiplicative methods (15) WASPAS approach has been effectively applied in the areas of, making the decision for site selection for a particular project, valuation of safety and health solutions at manufacturing, industrial or a construction site [21] [22] and [23].…”

Section: Dispersion Of Expert Scoresmentioning

confidence: 99%

“…[14] Presented a comprehensive analysis of hydropower plants in Canada and have considered the capability of power generation, profits, and ecological benefits along with community concern using the TOPSIS method. [15] Suggested the relevance and extension of MCDM methods for the stochastic inputs, with a relative study of different MCDM methods for the selection of the best location for wind turbines.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation Of The Hydropower Plants Using Various Multi-Criteria Decision-Making Techniques

2019

ijeat

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Annual growth of 2.3 % since 1990 to 2017 in the hydropower sector in India indicates it holds a vital position in the growth of electricity generation in the country. For effective and efficient running of the hydropower projects, maintenance schedules and performance evaluation have to be done. Thus, this paper presents the performance evaluation of four different hydro-powerhouses belonging to a different class. Multi-criteria decision making (MCDM) method stepwise weight assessment ratio analysis (SWARA) is used to calculate the weights. The weights calculated by SWARA are employed to assess the performance scores or ranks of Indira Sagar Project (ISP), Canal Head Power House (CHPH) and River Bed Power House (RBPH) at Sardar Sarovar Narmada Nigam Ltd. (SSNNL) by integrating SWARA with the MCDM techniques like weighted aggregate sum product assessment (WASPAS), technique for order of preference by similarity to ideal solution (TOPSIS) and preference ranking organization method for enrichment evaluation (PROMETHEE). A comparative analysis of these integrated methods is presented for improved future studies in the area of decision making. The results in this paper show performance rankings of the available alternatives, calculated using integrated SWARA-WASPAS, SWARA-TOPSIS and SWARA-PROMETHEE methods. Performance ranks obtained by SWARA-WASPAS and SWARA-TOPSIS methods are in the order ISP, RBPH, CHPH and LSPH, which shows similarity with the on-field performances and are well suited for the performance evaluation of hydropower projects

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A modified TOPSIS with a different ranking index

Cited by 218 publications

References 57 publications

Research on Collaborative Planning and Symmetric Scheduling for Parallel Shipbuilding Projects in the Open Distributed Manufacturing Environment

Research on Collaborative Planning and Symmetric Scheduling for Parallel Shipbuilding Projects in the Open Distributed Manufacturing Environment

A New Evaluation Method for Slope Stability Based on TOPSIS and MCS

Performance Evaluation Of The Hydropower Plants Using Various Multi-Criteria Decision-Making Techniques

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