Showing 4 results for Mustafa
Dr. Mustafa Jahnagoshai Rezaee, Dr. Alireza Moini,
Volume 26, Issue 4 (IJIEPR 2015)
Abstract
Data envelopment analysis (DEA) and balanced scorecard (BSC) are two well-known approaches for measuring performance of decision making units (DMUs). BSC is especially applied with quality measures, whereas, when the quantity measures are used to evaluate, DEA is more appropriate. In the real-world, DMUs usually have complex structures such as network structures. One of the well-known network structures is two-stage processes with intermediate measures. In this structure, there are two stages and each stage uses inputs to produce outputs separately where the first stage outputs are inputs for the second stage. This paper deals with integrated DEA and game theory approaches for evaluating two-stage processes. In addition, it is an extension of DEA model based on BSC perspectives. BSC is used to categorize the efficiency measures under two-stage process. Furthermore, we propose a two-stage DEA model with considering leader-follower structure and including multiple sub stages in the follower stage. To determine importance of each category of measures in a competitive environment, cooperative and non-cooperative game approaches are used. A case study for measuring performance of power plants in Iran is presented to show the abilities of the proposed approach.
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Mohammad Mehdi Dehdar, Mustafa Jahangoshai Rezaee, Marzieh Zarinbal, Hamidreza Izadbakhsh,
Volume 29, Issue 4 (IJIEPR 2018)
Abstract
Human-based quality control reduces the accuracy of this process. Also, the speed of decision making in some industries is very important. For removing these limitations in human-based quality control, in this paper, the design of an expert system for automatic and intelligent quality control is investigated. In fact, using an intelligent system, the accuracy in quality control is increased. It requires the knowledge of experts in quality control and design of expert systems based on the knowledge and information provided by human and equipment. For this purpose, Fuzzy Inference System (FIS) and Image Processing approach are integrated. In this expert system, the input information is the images of the products and the results of processing on images for quality control are as output. At first, they may be noisy images; the pre-processing is done and then a fuzzy system is used to be processed. In this fuzzy system, according to the images, the rules are designed to extract the specific features that are required. At second, after the required attributes are extracted, the control chart is used in terms of quality. Furthermore, the empirical case study of copper rods industry is presented to show the abilities of the proposed approach.
Nor Hasrul Akhmal Ngadiman, Nur Syahirah Mustafa, Izman Sudin, Denni Kurniawan,
Volume 36, Issue 1 (IJIEPR 2025)
Abstract
Bone tissue scaffolds that closely mimic the mechanical and biological properties of natural bone is critical for enhancing the outcomes in treatment of bone tissue damages. This study introduces an optimisation approach to designing bone tissue engineering scaffolds using Triply Periodic Minimal Surface (TPMS) structures, evaluated through a Full Factorial Design methodology. Finite Element Analysis was applied to simulate the TPMS scaffolds under mechanical loading. The influence of key factors of strut thickness, unit cell configuration, and TPMS type, on the scaffold’s mechanical performance, specifically targeting Young's modulus was evaluated. By employing Full Factorial Design, this study generates empirical models of Young’s modulus as a function of those key factors. Primitive and Gyroid TPMS structures emerged as optimal, achieving Young's modulus values of 4912.3 MPa and 4666.7 MPa, respectively, with configurations of 0.01 mm strut thickness in a 3-unit cell construct. These results demonstrate that optimised TPMS scaffolds can meet the mechanical demands of bone tissue while providing adequate porosity for cell proliferation and nutrient transport, essential for effective bone regeneration.
Salwa Mahmood, Ahmad Zahin Zainal Rashid, Nurul Ainina Nadhirah Tajurahim, Helmy Mustafa El Bakri, Ismail Abdul Rahman, Noorul Azreen Aziz,
Volume 36, Issue 4 (IJIEPR- Special Issue 2025)
Abstract
This study addresses ergonomic risks faced by firefighters during hose rolling activities, a physically demanding task that can lead to musculoskeletal issues. Building on a previous project conducted at the Bukit Gambir Fire and Rescue Station, this research expands the analysis by comparing four different hose rolling postures: roll and coil, dutch roll, flaking, and figure of eight. The Rapid Entire Body Assessment (REBA) method was used to evaluate the ergonomic risk levels of each posture. To further enhance firefighter safety, a preventive strategy tool was proposed and developed. The tool’s design was tested using Finite Element Analysis (FEA) in SolidWorks to assess the structural performance of its alloy steel hook and shaft under load. Simulation results showed stress levels below the material’s yield strength, and factor of safety (FOS) analysis confirmed the tool’s structural reliability. This project takes a holistic approach to understanding and mitigating ergonomic risks in firefighting. This study found that the structural of an assistive tool is safe and confirming the robustness and reliability of both the hook and alloy steel shaft designs. By combining ergonomic assessment with engineering simulation, it not only identifies high-risk postures but also provides a practical solution to reduce strain and prevent injury. Ultimately, the project contributes to improving the safety and well-being of firefighters, supporting a safer work environment for those who risk their lives to protect others.
