Showing 6 results for Mahmood
Mahmood Rezaei Sadrabadi , Seyed Jafar Sadjadi,
Volume 20, Issue 1 (IJIEPR 2009)
Abstract
Multiple Objective Programming (MOP) problems have become famous among many researchers due to more practical and realistic implementations. There have been a lot of methods proposed especially during the past four decades. In this paper, we develop a new algorithm based on a new approach to solve MOP problems by starting from a utopian point (which is usually infeasible) and moving towards the feasible region via stepwise movements and a plain continuous interaction with Decision Maker (DM). We consider the case where all objective functions and constraints are linear. The implementation of the proposed algorithm is demonstrated with two numerical examples.
R. Tavakkoli-Moghaddam, S. Mahmoodi,
Volume 21, Issue 2 (IJIEPR 2010)
Abstract
A data envelopment analysis (DEA) method can be regarded as a useful management tool to evaluate decision making units (DMUs) using multiple inputs and outputs. In some cases, we face with imprecise inputs and outputs, such as fuzzy or interval data, so the efficiency of DMUs will not be exact. Most researchers have been interested in getting efficiency and ranking DMUs recently. Models of the traditional DEA cannot provide a completely ranking of efficient units however, it can just distinguish between efficient and inefficient units. In this paper, the efficiency scores of DMUs are computed by a fuzzy CCR model and the fuzzy entropy of DMUs. Then these units are ranked and compared with two foregoing procedures. To do this, the fuzzy entropy based on common set of weights (CSW) is used. Furthermore, the fuzzy efficiency of DMUs considering the optimistic level is computed. Finally, a numerical example taken from a real-case study is considered and the related concept is analyzed.
Gholamreza Moini, Ebrahim Teimoury, Seyed Mohammad Seyedhosseini, Reza Radfar, Mahmood Alborzi,
Volume 32, Issue 4 (IJIEPR 2021)
Abstract
Productions of the industries around the world depend on using equipment and machines. Therefore, it is vital to support the supply of equipment and spare parts for maintenance operations, especially in strategic industries that separate optimization of inventory management, supplier selection, network design, and planning decisions may lead to sub-optimal solutions. The integration of forward and reverse spare part logistics network can help optimize total costs. In this paper, a mathematical model is presented for designing and planning an integrated forward-reverse repairable spare parts supply chain to make optimal decisions. The model considers the uncertainty in demand during the lead-time and the optimal assignment of repairable equipment to inspection, disassembly, and repair centers. A METRIC (Multi-Echelon Technique for recoverable Item Control) model is integrated into the forward-reverse supply chain to handle inventory management. A case study of National Iranian Oil Company (NIOC) is presented to validate the model. The non-linear constraints are linearized by using a linearization technique; then the model is solved by an iterative procedure in GAMS. A prominent outcome of the analyses shows that the same policies for repair and purchase of all the equipment and spare parts do not result in optimal solutions. Also, considering supply, repair, and inventory management decisions of spare parts simultaneously helps decision-makers enhance the supply chain's performance by applying a well-balanced repairing and purchasing policy.
Hamed Salehi Mourkani, Anwar Mahmoodi, Isa Nakhai Kamalabadi,
Volume 35, Issue 3 (IJIEPR 2024)
Abstract
This research investigated the problem of joint inventory control and pricing for non-instantaneous deteriorating products; while, the quantity dependent trade credit is allowed. It was observed here that the buyer order amount is equal or more than the amount specified by the seller. The Shortage was not permitted in the system. It was aimed in present study to find a procedure for achieving the optimal selling price and replenish cycle and to be able to maximize the system's profit. To do so, first, the system's total profit function was derived. Then, the uniqueness of the optimal replenishment cycle for a given price was proved. Next, the concavity of the total profit function concerning the price was revealed, depending on the trade credit policy. Thereafter, an algorithm was provided to fulfill the optimal solution and eventually a dual-purpose numerical analysis was carried out both to show the model performance and to evaluate the sensitivity of the main parameters.
Mojtaba Nowrouzifasih, Anwar Mahmoodi, Reza Maihami,
Volume 36, Issue 3 (IJIEPR 2025)
Abstract
The demand for green products has increased in the past few years due to the heightened awareness of environmental issues and the increasing use of green products by consumers. Thus, choosing the best strategy for green product manufacturers is essential. At the same time, producers and retailers are likely to have their decisions influenced by government actions. In this study, we attempt to determine the product's price and greenness within two competitive supply chains. The study investigates the pricing of two substitutable and green products in which each supply chain produces a green product. Using Nash and Stackelberg Game models, we determine how supply chains and their members interact. A Nash model involves two competing supply chains with equal power, within each supply chain, however, there is a Stackelberg competition between the retailer and the manufacturer. The Stackelberg model assumes that one of the supply chains is the market leader. The results show that with increasing government intervention (government's adjustment factor and green level floor for subsidies), regardless of Nash or Stackelberg structures, the green level of the product will increase, and wholesale and retail prices will decrease. Additionally, the price changes in the retailer-Stackelberg structure are greater than those in the manufacturer-Stackelberg structure. Also, by bearing the greenness cost by the manufacturer or retailer, companies can positively impact their profits as well as the level of greenness in their products. When the manufacturer makes an investment in greenness, the retailer and consumer benefit from it, and ultimately become the main force behind the development of green products.
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- In Progress- 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.
