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A New Mathematical Model for Integration of Cell Formation with Machine Layout and Cell Layout by Considering Alternative Process Routing Reliability; A Novel Hybrid Metaheuristic
Amir-Mohammad Golmohammadi, Mahboobeh Honarvar, Guangdong Guangdong, Hasan Hosseini-Nasab,
Volume 30, Issue 4 (IJIEPR 2019)
Abstract
There is still a great deal of attention in cellular manufacturing systems and proposing capable metaheuristics to better solve these complicated optimization models. In this study, machines are considered unreliable that life span of them follows a Weibull distribution. The intra and inter-cell movements for both parts and machines are determined using batch sizes for transferring parts are related to the distance traveled through a rectilinear distance. The objectives minimize the total cost of parts relocations and maximize the processing routes reliability due to alternative process routing. To solve the proposed problem, Genetic Algorithm (GA) and two recent nature-inspired algorithms including Keshtel Algorithm (KA) and Red Deer Algorithm (RDA) are employed. In addition, the main innovation of this paper is to propose a novel hybrid metaheuristic algorithm based on the benefits of aforementioned algorithms. Some numerical instances are defined and solved by the proposed algorithms and also validated by the outputs of exact solver. A real case study is also utilized to validate the proposed solution and modeling algorithms. The results indicate that the proposed hybrid algorithm is more appropriate than the exact solver and outperforms the performance of individual ones.
Risk Analysis of Work Duration and Body Mass Index to Musculoskeletal Disorders among Workers in the Manufacturing Industry
Noeroel Widajati, Adellian Nugraha, Ng Yee Guan,
Volume 36, Issue 4 (IJIEPR- Special Issue 2025)
Abstract
Introduction: Ergonomic hazards in the workplace can lead to complaints of musculoskeletal disorders (MSDs). According to the Global Burden of Disease, in 2019, approximately 1.71 billion people worldwide were affected by musculoskeletal problems. However, studies investigating the association between work duration and Body Mass Index (BMI) with MSD complaints in the manufacturing industry, particularly in developing countries that still rely heavily on labor-intensive systems, remain limited. This study aims to examine the relationship between work duration and BMI with MSD complaints among workers in the manufacturing industry.
Methods: A cross-sectional analytical study was conducted involving 109 manufacturing workers in the production department. Data were collected subjectively through interviews using the Nordic Body Map questionnaire and anthropometric measurements to calculate BMI. The relationship between variables was analyzed using the Chi-Square test with a significance level of α = 0.05.
Results: The study found that the majority of workers had normal work duration or less than 8 hours per day (83.5%), were classified as overweight (58.7%), and reported moderate MSD complaints (58.7%). A significant correlation was found between BMI and MSD complaints (p = 0.017), while no significant correlation was found between work duration and MSD complaints (p = 0.717).
Conclusion: It can be concluded that BMI has a significant correlation with MSD complaints among manufacturing workers. Interventions should focus on weight control, including promoting balanced nutritional intake. However, other potential risk factors such as lifestyle habits, demographic characteristics, and workload should also be considered in future studies.

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