Pub. Date | : Nov, 2023 |
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Product Name | : The IUP Journal of Operations Management |
Product Type | : Article |
Product Code | : IJOM020224 |
Author Name | : Shazia Shaheen |
Availability | : YES |
Subject/Domain | : Management |
Download Format | : PDF Format |
No. of Pages | : 7 |
Business process optimization (BPO) is a crucial process in organizations that aims to maximize efficiency, minimize costs, and improve overall business performance. It involves modifying procedures to maximize parameters while adhering to certain limitations. The primary objectives of process optimization are productivity, efficiency maximization, and cost minimization. By examining current procedures, identifying areas for development, and implementing plans to expedite and enhance these procedures, organizations can increase productivity, lower costs, and boost customer satisfaction. By streamlining operations, organizations can eliminate bottlenecks and unnecessary tasks and enhance productivity, ultimately leading to sustainable growth and improved overall output. Lean Six Sigma, Kaizen, Deming Cycle, and other organizational development methodologies are used in BPO. Organizations can increase productivity by streamlining and optimizing their operations. This enables them to produce more in the same amount of time with the same resources, improving their overall output and growth. This paper provides a summary of the body of research on BPO and suggests possible study subjects based on secondary data. The intention is to provide the reader with a comprehensive overview of BPO strategies.
Business process optimization (BPO) aims to increase an organization's productivity by focused, methodical optimization of its key operations. BPO can be used for particular sections, single processes, and inside as well as outside procedures. These function best when a company tries to enhance all of its procedures (Taylor, 2022). BPO has received less attention compared to the numerous company process modeling tools and qualitative evaluation methods (Vergidis et al., 2008).