Balancing Service Level Agreement and Costs in Service Operations: A Goal Programming Model
DOI:
https://doi.org/10.32628/IJSRST251222671Keywords:
Balancing, Service Level Agreement, Costs, Service Operations, Goal Programming ModelAbstract
In the fast-paced business environment of today, service businesses face a challenging challenge: preserving competitiveness while reducing operational expenses and maximizing Service Level Agreements (SLAs). In this review, another strategy for taking care of this perplexing difficult exercise utilizing Goal Programming (GP) is introduced. By giving a purposeful and versatile structure for direction, the proposed GP model assists specialist co-ops with finding some kind of harmony between controlling functional expenses and fulfilling client assumptions as framed in help level arrangements (SLAs). The review investigates significant parts of administration activities and features how significant it is for costs and SLAs to associate. The methodology considers a few, maybe incongruous Goals, including reaction time, administration accessibility, and asset use, by utilizing Goal programming. The paper presents the model's viability in certifiable help settings through a careful contextual investigation and observational approval, demonstrating the way that it can work on functional proficiency without forfeiting administration quality. Besides, by offering encounters into the trade-offs and agreeable energies among SLAs and costs inside the construction of organization assignments, the audit adds to the combination of data presently in presence. Experts and administration supervisors hoping to work on their functional techniques and pursue better-educated choices can benefit significantly from the review's discoveries. With everything considered, this study presents a shrewd development that deals with our perception of how master affiliations could change costs and SLAs, making the way for a more liberal and brutal help locale. Associations can actually structure the complexity of organization tasks to accomplish a rational approach that appeases both client fears and budgetary restrictions by using the Goal Programming model that is provided here.
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Cavdur, F., Sebatli, A., Kose-Kucuk, M., & Rodoplu, C. (2019). A two-phase binary-goal programming-based approach for optimal project-team formation. Journal of the Operational Research Society, 70(4), 689-706.
Deliktaş, D., Karagoz, S., Simić, V., & Aydin, N. (2023). A stochastic Fermatean fuzzy-based multi-choice conic goal programming approach for sustainable supply chain management in end-of-life buildings. Journal of Cleaner Production, 382, 135305.
Malik, M., & Gupta, S. K. (2020). Goal programming technique for solving fully interval-valued intuitionistic fuzzy multiple objective transportation problems. Soft Computing, 24, 13955-13977.
Shukla, G., & Chaturvedi, N. D. (2021). A Goal Programming Approach for Optimizing Natural Gas Transportation Network. Chemical Engineering Transactions, 88, 361-366.
Al-Refaie, A., & Musallam, A. (2019). Using mixed goal programming to optimize performance of extrusion process for multiple responses of irrigation pipes. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 233(2), 412-424.
Wang, L., & Li, J. (2020). A robust weighted goal programming approach for supplier selection problem with inventory management and vehicle allocation in uncertain environment. In Proceedings of the Thirteenth International Conference on Management Science and Engineering Management: Volume 2 13 (pp. 295-309). Springer International Publishing.
Sharmaet al. [17] , R., Goswami, A., & Gupta, P. K. (2022). Investor’s Psychology In Portfolio Optimization: A Goal Programming Approach. Journal of Positive School Psychology, 2368-2382.
Gala, I. G., Nargundkar, A., Kulkarni, A. J., & Shastri, A. (2023). Solving Asset and Liability Management Problem Using Cohort Intelligence and Goal Programming. In Optimization Methods for Product and System Design (pp. 177-190). Singapore: Springer Nature Singapore.
Mo’ath Alluwaici, A. K. J., Zakaria, M. H., Desa, A. M., & Perlis, U. M. WEIGHTED LINEAR GOAL PROGRAMMING APPROACH FOR SOLVING BUDGETARY MANUFACTURING PROCESS.
Abdelrehim, H. (2019). Estimating Economic Growth through Cobb-Douglas Production Function, Statistical, and Goal Programming Models (Master's thesis).
Bal, A., & Satoglu, S. I. (2018). A goal programming model for sustainable reverse logistics operations planning and an application. Journal of cleaner production, 201, 1081-1091
Gür, Ş., Eren, T., & Alakaş, H. M. (2019). Surgical operation scheduling with goal programming and constraint programming: A case study. Mathematics, 7(3), 251.
Li, X., Rafaliya, N., Baki, M. F., & Chaouch, B. A. (2017). Scheduling elective surgeries: the tradeoff among bed capacity, waiting patients and operating room utilization using goal programming. Health care management science, 20, 33-54.
Karakutuk, S. S., & Ornek, M. A. (2023). A goal programming approach to lean production system implementation. Journal of the Operational Research Society, 74(1), 403-416.
Ben Abdelaziz, F., Masri, H., & Alaya, H. (2017). A recourse goal programming approach for airport bus routing problem. Annals of Operations Research, 251, 383-396.
Ighravwe, D. E., Oke, S. A., & Adebiyi, K. A. (2017). A weighted goal programming model for maintenance workforce optimisation for a process industry. Asia-Pacific Journal of Science and Technology, 22(4).
Aouni, B., McGillis, S., & Abdulkarim, M. E. (2017). Goal programming model for management accounting and auditing: a new typology. Annals of Operations Research, 251, 41-54.
Li, S., Liang, Y., Wang, Z., & Zhang, D. (2021). An optimization model of a sustainable city logistics network design based on goal programming. Sustainability, 13(13), 7418.
Alakaş, H. M., Eren, T., Yelek, A., & Özder, E. H. (2023). Goal programming models for high-speed train crew scheduling problem. Soft Computing, 1-16.
Gür, Ş., Pınarbaşı, M., Alakaş, H. M., & Eren, T. (2023). Operating room scheduling with surgical team: a new approach with constraint programming and goal programming. Central European Journal of Operations Research, 31(4), 1061-1085.
Shuib, A., & Kamarudin, F. I. (2019). Solving shift scheduling problem with days-off preference for power station workers using binary integer goal programming model. Annals of Operations Research, 272(1-2), 355-372.
Oliveira, W. A., Fiorotto, D. J., Song, X., & Jones, D. F. (2021). An extended goal programming model for the multiobjective integrated lot-sizing and cutting stock problem. European Journal of Operational Research, 295(3), 996-1007.
Zamanian, M. R., Sadeh, E., Amini Sabegh, Z., & Ehtesham Rasi, R. (2019). A fuzzy goal-programming model for optimization of sustainable supply chain by focusing on the environmental and economic costs and revenue: a case study. Advances in Mathematical Finance and Applications, 4(1), 103-123.
AKTAS, A., & TEMİZ, İ. (2020). Goal programming model for production-distribution planning by considering carbon emission. Gazi University Journal of Science, 33(1), 135-150.
Shakourloo, A. (2017). A multi-objective stochastic goal programming model for more efficient remanufacturing process. The International Journal of Advanced Manufacturing Technology, 91(1-4), 1007-1021.
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