An event-driven approach with makespan/cost tradeoff analysis for project portfolio scheduling

Kao, Hsing-Pei; Wang, Brian; Dong, Jianghu; Ku, Kuo-Cheng

doi:10.1016/j.compind.2005.11.004

Cited by 30 publications

(12 citation statements)

References 115 publications

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“…TOPSIS method is used widely for the ranking of problems in the field of water resource management (Simonovic and Verma 2008), economy and environment (Montanari 2004; Xuebin 2009), waste management (Cheng et al 2003) and project management (Kao et al 2006). TOPSIS method is one of the most technical schedules for prioritizing alternatives through the distance from ideal and anti ideal point.…”

Section: Fuzzy Topsis Methodsmentioning

confidence: 99%

Flood Vulnerability Analysis by Fuzzy Spatial Multi Criteria Decision Making

Radmehr

Araghinejad

2015

Water Resour Manage

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Prioritization the sub-basins available in a basin to flood vulnerability analysis can be discussed in the form of a spatial multi criteria decision making (SMCDM) problem. In this research a fuzzy planning support system based on the spatial analysis using tow multi criteria decision making methods, Analytic Hierarchy Process (AHP) and TOPSIS (Technique for order-preference by similarity to ideal solution) is used. AHP method is used to determine the structure of decision making process and to estimate criteria weights and TOPSIS model is used to rank the sub-basins of Tehran urban basin as a study area regarding the flood vulnerable areas. Also in order to perform spatial analysis for decision-making process, a developed toolbox is used within the Geographic Information System (GIS). In this research a model is presented in which some vague concepts such as weight of decision making criteria are expressed in the form of linguistic variables to be converted to triangular fuzzy numbers. Finally, the sensitivity of model was analyzed by changing the weights of decision making criteria and providing of ranking scenarios. The results show the optimum alternatives for mitigation flood vulnerability in the study area.

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Section: Fuzzy Topsis Methodsmentioning

confidence: 99%

Flood Vulnerability Analysis by Fuzzy Spatial Multi Criteria Decision Making

Radmehr

Araghinejad

2015

Water Resour Manage

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“…A large number of sensitivity analyses are performed due to a slight variation in the criteria relative weights [94]. Relative weights of some criteria are increased and some of them are decreased according to Equation (32):…”

Section: Sensitivity Analysismentioning

confidence: 99%

A Hybrid MCDM Approach for Strategic Project Portfolio Selection of Agro By-Products

Debnath¹,

Roy

Kar

et al. 2017

Sustainability

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Due to the increasing size of the population, society faces several challenges for sustainable and adequate agricultural production, quality, distribution, and food safety in the strategic project portfolio selection (SPPS). The initial adaptation of strategic portfolio management of genetically modified (GM) Agro by-products (Ab-Ps) is a huge challenge in terms of processing the agro food product supply-chain practices in an environmentally nonthreatening way. As a solution to the challenges, the socio-economic characteristics for SPPS of GM food purchasing scenarios are studied. Evaluation and selection of the GM agro portfolio management are the dynamic issues due to physical and immaterial criteria involving a hybrid multiple criteria decision making (MCDM) approach, combining modified grey Decision-Making Trial and Evaluation Laboratory (DEMATEL), Multi-Attributive Border Approximation area Comparison (MABAC) and sensitivity analysis. Evaluation criteria are grouped into social, differential and beneficial clusters, and the modified DEMATEL procedure is used to derive the criteria weights. The MABAC method is applied to rank the strategic project portfolios according to the aggregated preferences of decision makers (DMs). The usefulness of the proposed research framework is validated with a case study. The GM by-products are found to be the best portfolio. Moreover, this framework can unify the policies of agro technological improvement, corporate social responsibility (CSR) and agro export promotion.

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“…However, limitations of network hardware and network technologies can lead to network‐induced delays, data packet loss, communication limitations and other undesirable factors, resulting in adverse consequences for the control system performance, which makes the comprehensive analysis of control systems face great challenges. In order to meet desirable requirements and make full use of network resources, the event‐triggered technique has received a great deal of attention in the past several years (see [22–26] and the references therein). Event‐triggered control is an effective and reasonable control mechanism.…”

Section: Introductionmentioning

confidence: 99%