Identifying the Components of Inventory Control and Maintenance with a Cost and Time Optimization Approach (Case Study: Mazandaran Province Water and Wastewater Company)
Keywords:
Inventory control, maintenance and repair, cost and time optimization, Mazandaran Province Water and Wastewater CompanyAbstract
The purpose of this study is to identify the components of inventory control and maintenance with a focus on optimizing cost and time. By employing a systematic review and meta-synthesis approach, the researcher analyzed the results and findings of previous studies. Using the seven-step method of Sandelowski and Barroso, the influential factors were identified. Out of 198 articles, 35 were selected based on the CASP method. The validity of the analysis was confirmed using the Kappa coefficient, which was calculated at 0.775. The Kappa index was also used to assess reliability and quality control, indicating a high level of agreement for the identified indicators. Data collected were analyzed using MAXQDA software, resulting in the identification of six dimensions and 33 indicators for the model. To identify the components of the model, the meta-synthesis technique was applied. The identified dimensions include: inventory control, maintenance and repair, cost-related dimension, time-related dimension, technology and information systems, and planning and decision-making. Developing a comprehensive program based on risk analysis, forecasting future needs, analyzing failure trends, and allocating resources is essential for optimal management in this industry. Decision-making should be evidence-based and rely on multi-dimensional analyses to strike a balance between time, cost, service quality, and infrastructure sustainability. Stakeholder engagement, including operators, managers, engineers, and customers, in the decision-making process can facilitate a better understanding of priorities and challenges. Given the limited resources and complexity of water and wastewater service structures, the use of decision-support tools such as scenario analysis and decision support systems can enable more accurate planning and improved responsiveness in crisis situations.
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Copyright (c) 2024 Meysam Salavati (Author); Hossein Adab; Ahmadreza Kasraei, Jalal Haghight Monfard (Author)
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