Assessing Market Development and Innovation Project Management Factors Using the PICEA-g Hybrid Evolutionary Multi-Criteria Decision Technique. The Calcimine Company Case Study

Ghaffari, Saied; Najafi, Amir; Eskandari, Meysam Jafari

doi:10.48084/etasr.1478

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…The FAHP was published in 2008 and used for decision-making problems in industry and other fields, especially the various selection problems (Liu et al, 2020;Ateekh-Ur-Rehman & Alkahtani, 2017). FAHP is unique Fuzzy Multi Criteria Decision Making (FMCDM) method due to its ability to deal with vagueness and fuzziness of linguistic judgments compared with inability of AHP (Ghaffari et al, 2017). It has been used for solving both qualitative and quantitative problems, identifying an effective prioritization using pair-wise comparison process, and handling uncertainty and vagueness in the given weights when evaluating alternatives (Aikhuele et al, 2014;Torfi et al, 2010, Ishak & Wanli, 2020.…”

Section: Fuzzy Analytic Hierarchy Process (Fahp)mentioning

confidence: 99%

Assessment the Level of Importance of SME Lean Activities Using an Integrated Model Based on Fuzzy Logic

Al-BALDAWI,

KASSAM,

Al-ZUBAIDI

2024

Management and Production Engineering Review

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Small and Medium Enterprises SME play a crucial role in the global economy through their contribution in countries economy and creation of employment opportunities, and their success heavily relies on the implementation of efficient manufacturing systems like Lean Production(LP). LP is a continuous improvement philosophy based on various lean activities for improving enterprise lean performance. A fuzzy model that integration Fuzzy Consistency Algorithm (FCA) and Fuzzy Analytical Hierarchy Process (FAHP) was proposed as a comprehensive framework to assess the levels of importance and priority of nineteen SME lean activities that categorized into the related five related lean dimensions. FCA was used to construct the fuzzy pairwise comparison matrix to ensure obtaining consistent experts judgment, whereas FAHP was applied to identify the level of importance and priority of lean activities. Identifying the level of importance of lean activities will be contributed in focuses SME efforts in the improvement process on the most important lean activities to ensure effective resource allocation and foster continuous improvement process and offer a practical tool for enhancing their competitiveness and sustainability. The proposed model was applied in Iraqi SME. The result showed that FCA is an efficient approach to construct a consistent judgment matrix. Efficient manger, Kaizen team, supplier relationship, execution customer suggestions and customer satisfaction job rotation are the most important lean activities with level of importance 58.90%, 21.30%, 49.80%, 38.50%, 41.20% respectively. The proposed model can be used for small or medium size enterprise for various production industries.

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Section: Fuzzy Analytic Hierarchy Process (Fahp)mentioning

confidence: 99%

Assessment the Level of Importance of SME Lean Activities Using an Integrated Model Based on Fuzzy Logic

Al-BALDAWI,

KASSAM,

Al-ZUBAIDI

2024

Management and Production Engineering Review

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“…Li et al [26] apply the PICEA-g to the optimization of combined cooling, heating, and power (CCHP) systems to optimize the system reliability, system cost, and environmental sustainability. According to the research of Ghaffari et al [27], PICEA-g can also be applied to the evaluation of complex decision-making mode in project management.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Optimization Method of Low-Impact Development Layout in the Sponge City

Men

Jiang

et al. 2020

Mathematical Problems in Engineering

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Aiming at the optimization layout of distributed low-impact development (LID) practices in the sponge city, a new mathematical method combining Stormwater Management Model (SWMM) and preference-inspired co-evolutionary algorithm using goal vectors (PICEA-g) was developed and was applied in the Ximen waterlogged area of Pingxiang City. Firstly, a block-scaled rainfall-runoff model was built in the study area by using SWMM. Then, an LIDs area optimization model was established by linking the SWMM and the PICEA-g based on the Matlab platform, which took the area ratios of various LIDs in each block as decision variables and took the total runoff, peak flow, suspended substance (SS) pollutant, and LIDs cost as objective functions. Thus, the problem of LIDs layout was turned into a mathematical optimization issue. So the cost-benefit optimal solutions with different emphases were found by using this algorithm, and the LIDs layout optimal scheme for this area was further analysed and verified by rainfall-runoff model. The results show that the total runoff reduction rates of the system reach a maximum of 21.8%, the peak flow reduction rates of the system are more than 10%, and the SS pollutant reduction rates are reduced by about 30% compared with before LIDs under the design storms of different return periods. The reduction rates of each runoff index are higher than the nondominated sorting genetic algorithm II (NSGA-II) method, and decision-makers can more effectively analyse the cost-benefit optimal solution from the Pareto solution sets. Therefore, the LIDs layout optimization method proposed in this paper has obvious advantages in solving similar many-objective optimization problems (MOOPs) in sponge city construction.

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Assessing Market Development and Innovation Project Management Factors Using the PICEA-g Hybrid Evolutionary Multi-Criteria Decision Technique. The Calcimine Company Case Study

Cited by 2 publications

References 13 publications

Assessment the Level of Importance of SME Lean Activities Using an Integrated Model Based on Fuzzy Logic

Assessment the Level of Importance of SME Lean Activities Using an Integrated Model Based on Fuzzy Logic

Mathematical Optimization Method of Low-Impact Development Layout in the Sponge City

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