This page has only limited features, please log in for full access.
The main motivation behind the improvement of manufacturing systems is that they are competing for a larger share and better image in the market. Many manufacturing systems, particularly those with repetitive products, utilize assembly lines for the final stage of their production systems. Most of the assembly lines still rely on human worker performance since higher flexibility can be attained with manual systems. The performance of manual assembly line systems depends on how ergonomic factors are involved with balancing the lines. Therefore, the main focus of this study is to develop a model to design assembly lines with ergonomic risk consideration. Ergonomic risks are the factors of weight, size, and shape of the components in addition to the posture of the workers performing the tasks with the components. This study also conducts ergonomic risk analysis for assembly tasks using simulation software and incorporates the results into the developed model. There are two conflicting objectives in the problem, thus the required solution model is constructed as multi-objective. Since the objectives of the problem have vagueness, the proposed model is developed adopting fuzzy set theory. The developed fuzzy multi-objective model is implemented in a real-life case problem gathered from a refrigerator company.
Rifat Ozdemir; Ilkan Sarigol; Sarah AlMutairi; Sarah AlMeea; Abrar Murad; Aseel Naqi; Noor AlNasser. Fuzzy multi-objective model for assembly line balancing with ergonomic risks consideration. International Journal of Production Economics 2021, 239, 108188 .
AMA StyleRifat Ozdemir, Ilkan Sarigol, Sarah AlMutairi, Sarah AlMeea, Abrar Murad, Aseel Naqi, Noor AlNasser. Fuzzy multi-objective model for assembly line balancing with ergonomic risks consideration. International Journal of Production Economics. 2021; 239 ():108188.
Chicago/Turabian StyleRifat Ozdemir; Ilkan Sarigol; Sarah AlMutairi; Sarah AlMeea; Abrar Murad; Aseel Naqi; Noor AlNasser. 2021. "Fuzzy multi-objective model for assembly line balancing with ergonomic risks consideration." International Journal of Production Economics 239, no. : 108188.
This work aims to help managers anticipate, detect, and keep under control complex situations before facing negative consequences. This article explores complexity modeling theory and develops a framework and associated score sheet to measure project complexity. A framework comprising ninety factors is presented and divided into seven categories: stakeholders, project team, project governance, product, project characteristics, resources, and environment. For the project complexity assessment grid, the project manager prioritizes and weighs its factors using linguistic variables. The score sheet is customizable in its handling of the factors and their weights. A critical state of the art on multi-criteria methodologies is presented, as well as reasons for using the fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method. This method provides early-warning signs with the possibility of comparing multiple projects. It also enables one to measure and prioritize areas and domains where complexity may have the highest impact. Practical applications on three projects within an automotive manufacturer highlight the benefits of such an approach for managers. Project managers could use both a project complexity rating system and a measure of risk criticality to decide on the level of proactive actions needed. This research work differs from traditional approaches that have linked proactive actions to risk criticality but not project complexity.
Hadi Jaber; Franck Marle; Ludovic-Alexandre Vidal; Ilkan Sarigol; Lionel Didiez. A Framework to Evaluate Project Complexity Using the Fuzzy TOPSIS Method. Sustainability 2021, 13, 3020 .
AMA StyleHadi Jaber, Franck Marle, Ludovic-Alexandre Vidal, Ilkan Sarigol, Lionel Didiez. A Framework to Evaluate Project Complexity Using the Fuzzy TOPSIS Method. Sustainability. 2021; 13 (6):3020.
Chicago/Turabian StyleHadi Jaber; Franck Marle; Ludovic-Alexandre Vidal; Ilkan Sarigol; Lionel Didiez. 2021. "A Framework to Evaluate Project Complexity Using the Fuzzy TOPSIS Method." Sustainability 13, no. 6: 3020.