The Challenges of Inventory Management in Medical Supply Chain
Keywords:
Automation, Supply chain management, Inventory Control, Distribution, PharmaceuticalAbstract
The study has determined the challenges of inventory management in the medical supply chain of Pakistan. The medical supply chain of Pakistan has been taken as the target industry. In addition, the conceptual framework is based on Control Theory and Resource Based View. The research approach is quantitative deductive, and the sample size is 200. The data was collected utilizing a five-point Likert scale in in-person and online questionnaire surveys, while it was analyzed using IBM SPSS version 22.0. The present study identified that inventory automation, distribution turnover and inventory control have a significant and positive relationship with inventory management. This evaluation of the literature advances the field of study by offering one of the first in-depth investigations of how to manage inventory items in the healthcare supply chains of Pakistan. The study advises SC managers that by implementing a real-time inventory management system in the company, consumers can locate items quickly and have more accurate information about their location and availability.
References
Ahmed, K. S., Noorali, A. A., Ehsan, A. N., Zafar, M. H., Thobani, H., & Urooj, F. (2022). Establishing a Centralized Logistical Triage Platform to facilitate Supply Chain Optimization for Critical Resources during COVID-19 in a Developing Country. Global Journal of Medical Students, 2(1), 33-36. https://doi.org/10.52314/gjms.2022.v2i1.23
Baloch, N. & Rashid, A. (2022). Supply Chain Networks, Complexity, and Optimization in Developing Economies: A Systematic Literature Review and Meta-Analysis. South Asian Journal of Operations and Logistics, 1(1), 1-13. https://doi.org/10.57044/SAJOL.2022.1.1.2202
Beamish, P. W., & Chakravarty, D. (2021). Using the resource-based view in multinational enterprise research. Journal of Management, 47(7), 1861-1877. https://doi.org/10.1177/0149206321995575
Beck, T. W. (2013). The importance of a priori sample size estimation in strength and conditioning research. The Journal of Strength & Conditioning Research, 27(8), 2323-2337. https://doi.org/10.1519/JSC.0b013e318278eea0
Bromiley, P., & Rau, D. (2016). Operations management and the resource based view: Another view. Journal of Operations Management, 41, 95-106. https://doi.org/10.1016/j.jom.2015.11.003
Campbell, S., Greenwood, M., Prior, S., Shearer, T., Walkem, K., Young, S., Bywaters, D., & Walker, K. (2020). Purposive sampling: complex or simple? Research case examples. Journal of Research in Nursing, 25(8), 652-661. https://doi.org/10.1177/1744987120927206
Christian, L. M., Parsons, N. L., & Dillman, D. A. (2009). Designing scalar questions for web surveys. Sociological Methods & Research, 37(3), 393-425. https://doi.org/10.1177/0049124108330004
Creswell, J. W. (2002). Educational research: Planning, conducting, and evaluating quantitative. Prentice Hall Upper Saddle River, NJ.
Dalgaard, M., & Motzoi, F. (2022). Fast, high precision dynamics in quantum optimal control theory. Journal of Physics B: Atomic, Molecular and Optical Physics, 55(8), 085501. https://doi.org/10.1088/1361-6455/ac6366
Daniels, K., Glover, J., & Mellor, N. (2014). An experience sampling study of expressing affect, daily affective well‐being, relationship quality, and perceived performance. Journal of Occupational and Organizational Psychology, 87(4), 781-805. https://doi.org/10.1111/joop.12074
Donnellan, J., & Rutledge, W. L. (2019). A case for resource‐based view and competitive advantage in banking. Managerial and Decision Economics, 40(6), 728-737. https://doi.org/10.1002/mde.3041
Essel, R. E. (2021). Assessing Materials Management Practices Effect on Firm's Performance in Ghana Using Dominance Analysis: Evidence from a Listed Company. Journal of Operations and Strategic Planning, 4(2), 174-201. https://doi.org/10.1177/2516600X211043210
Fakhreddin, F., & Foroudi, P. (2022). The impact of market orientation on new product performance through product launch quality: A resource-based view. Cogent Business & Management, 9(1), 2108220. https://doi.org/10.1080/23311975.2022.2108220
Gupta, G., Tan, K. T. L., Ee, Y. S., & Phang, C. S. C. (2018). Resource-based view of information systems: Sustainable and transient competitive advantage perspectives. Australasian Journal of Information Systems, 22. https://doi.org/10.3127/ajis.v22i0.1657
Hashmi, A. R., Amirah, N. A., & Yusof, Y. (2020a). Mediating effect of integrated systems on the relationship between supply chain management practices and public healthcare performance: Structural Equation Modeling. International Journal of Management and Sustainability, 9(3), 148-160. https://doi.org/10.18488/journal.11.2020.93.148.160
Hashmi, A. R., Amirah, N. A., & Yusof, Y. (2021b). Organizational performance with disruptive factors and inventory control as a mediator in public healthcare of Punjab, Pakistan. Management Science Letters, 11(1), 77-86. https://doi.org/10.5267/j.msl.2020.8.028
Hashmi, A. R., Amirah, N. A., Yusof, Y., & Zaliha, T. N. (2020b). Exploring the dimensions using exploratory factor analysis of disruptive factors and inventory control. The Economics and Finance Letters, 7(2), 247-254. https://doi.org/10.18488/journal.29.2020.72.247.254
Hashmi, A. R., Amirah, N. A., Yusof, Y., & Zaliha, T. N. (2021a). Mediation of inventory control practices in proficiency and organizational performance: State-funded hospital perspective. Uncertain Supply Chain Management, 9(1), 89-98. https://doi.org/10.5267/j.uscm.2020.11.006
Hashmi, R. (2023). Business Performance Through Government Policies, Green Purchasing, and Reverse Logistics: Business Performance and Green Supply Chain Practices. South Asian Journal of Operations and Logistics, 2(1), 1–10. https://doi.org/10.57044/SAJOL.2023.2.1.2301
Ho, G. T., Tang, Y. M., Tsang, K. Y., Tang, V., & Chau, K. Y. (2021). A blockchain-based system to enhance aircraft parts traceability and trackability for inventory management. Expert Systems with Applications, 179, 115101. https://doi.org/10.1016/j.eswa.2021.115101
Kelley, K., & Bolin, J. H. (2013). Multiple regression. In Handbook of quantitative methods for educational research (pp. 69-101). Brill. https://doi.org/10.1007/978-94-6209-404-8_4
Khan, M., Rahman-Shepherd, A., Bory, S., Chhorn, S., Durrance-Bagale, A., Hasan, R., Heng, S., Phou, S., Prien, C., & Probandari, A. (2022). How conflicts of interest hinder effective regulation of healthcare: an analysis of antimicrobial use regulation in Cambodia, Indonesia and Pakistan. BMJ Global Health, 7(5), e008596. https://doi.org/10.1136/bmjgh-2022-008596
Khan, S. K., Rashid. A., Benhamed, A., Rasheed, R., & Huma, Z. (2023b). Effect of leadership styles on employee performance by considering psychological capital as mediator: evidence from airlines industry in emerging economy. World Journal of Entrepreneurship, Management and Sustainable Development, 18(6), 799-818. https://doi.org/10.47556/J.WJEMSD.18.6.2022.7
Khan, S., Rashid, A., Rasheed, R., & Amirah, N. A. (2023a). Designing a knowledge-based system (KBS) to study consumer purchase intention: the impact of digital influencers in Pakistan. Kybernetes, 52(5), 1720-1744. https://doi.org/10.1108/K-06-2021-0497
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610. https://doi.org/10.1177/001316447003000308
Li, J., & Wan, M. (2021). Sensor-based mountain landslide sensitivity and logistics supply chain management optimization. Arabian Journal of Geosciences, 14(16), 1-18. https://doi.org/10.1007/s12517-021-07995-3
Lopes, J. M., Morales, C. C., Alvarado, M., Melo, V. A. Z., Paiva, L. B., Dias, E. M., & Pardalos, P. M. (2022). Optimization methods for large-scale vaccine supply chains: a rapid review. Annals of Operations Research, 1-23. https://doi.org/10.1007/s10479-022-04720-5
Memon, M. A., Ting, H., Cheah, J. H., Thurasamy, R., Chuah, F., & Cham, T. H. (2020). Sample size for survey research: review and recommendations. Journal of Applied Structural Equation Modeling, 4(2), 1-20. https://doi.org/10.47263/JASEM.4(2)01
Mor, R. S., Kumar, D., Yadav, S., & Jaiswal, S. K. (2021). Achieving cost efficiency through increased inventory leanness: Evidence from manufacturing industry. Production Engineering Archives, 27. https://doi.org/10.30657/pea.2021.27.6
Mubarak, M., Sadiq, N., & Abbas, S. F. (2021). Linking Inventory Efficiency, Productivity and Responsiveness to Firm Performance in Pakistan. iRASD Journal of Management, 3(3), 285-301. https://doi.org/10.52131/jom.2021.0303.0045
Nazir, M. F. (2022). Autonomy of Public Hospitals in Pakistan in the Time of Covid-19: A Policy Perspective. In Public Sector Reforms in Pakistan (pp. 93-110). Springer. https://doi.org/10.1007/978-3-030-96825-0_4
Nazuk, A., Rashid, M., & Salman, V. (2021). Optimizing Inventory Management Cost: Case of Simap. Statistics, Computing and Interdisciplinary Research, 3(2), 99-116. https://doi.org/10.52700/scir.v3i2.53
Nirmala, D. A. R., Kannan, V., Thanalakshmi, M., Gnanaraj, S. J. P., & Appadurai, M. (2022). Inventory management and control system using ABC and VED analysis. Materials Today: Proceedings, 60, 922-925. https://doi.org/10.1016/j.matpr.2021.10.315
Nya, D. N., & Abouaïssa, H. (2022). Model-Free Control Policies for Inventory Management in Supply Chain. 8th International Conference on Control, Decision and Information Technologies, CoDIT, https://doi.org/10.1109/CoDIT55151.2022.9803914
Orobia, L. A., Nakibuuka, J., Bananuka, J., & Akisimire, R. (2020). Inventory management, managerial competence and financial performance of small businesses. Journal of Accounting in Emerging Economies, 10(3), 379-398. https://doi.org/10.1108/JAEE-07-2019-0147
Panigrahi, R. R., Jena, D., Tandon, D., Meher, J. R., Mishra, P. C., & Sahoo, A. (2021). Inventory management and performance of manufacturing firms. International Journal of Value Chain Management, 12(2), 149-170. https://doi.org/10.1504/IJVCM.2021.116400
Papanagnou, C. I. (2022). Measuring and eliminating the bullwhip in closed loop supply chains using control theory and Internet of Things. Annals of Operations Research, 310(1), 153-170. https://doi.org/10.1007/s10479-021-04136-7
Perez, H. D., Hubbs, C. D., Li, C., & Grossmann, I. E. (2021). Algorithmic approaches to inventory management optimization. Processes, 9(1), 102. https://doi.org/10.3390/pr9010102
Pfohl, H.-C. (2022). Inventory Management (Stockkeeping). In Logistics Systems (pp. 89-112). Springer. https://doi.org/10.1007/978-3-662-64349-5_5
Rasheed, R., & Rashid, R. (2023). Role of Service Quality Factors in Word of Mouth through Student Satisfaction. Kybernetes. In press. http://dx.doi.org/10.1108/k-01-2023-0119
Rashid, A. & Rasheed, R. (2023). Mediation of inventory management in the relationship between knowledge and firm performance, SAGE Open, 13(2), 1-11. https://doi.org/10.1177/21582440231164593
Rashid, A. (2016). Impact of inventory management in downstream chains on customer satisfaction at manufacturing firms. International Journal of Management, IT and Engineering, 6(6), 1-19.
Rashid, A. Rasheed, R., & Amirah, N. A. (2023). Information Technology and People Involvement in Organizational Performance through Supply Chain Collaboration. Journal of Science and Technology Policy Management. In press. DOI: 10.1108/JSTPM-12-2022-0217
Rashid, A., Ali, S. B., Rasheed, R., Amirah, N. A. & Ngah, A. H. (2022a). A paradigm of blockchain and supply chain performance: a mediated model using structural equation modeling. Kybernetes, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/K-04-2022-0543
Rashid, A., Rasheed, R., & Amirah, N. A., & Afthanorhan, A. (2022b). Disruptive Factors and Customer Satisfaction at Chain Stores in Karachi, Pakistan. Journal of Distribution Science, 20(10), 93-103. https://doi.org/10.15722/jds.20.10.202210.93
Rashid, A., Rasheed, R., Amirah, N. A., Yusof, Y., Khan, S., & Agha, A., A. (2021). A Quantitative Perspective of Systematic Research: Easy and Step-by-Step Initial Guidelines. Turkish Online Journal of Qualitative Inquiry, 12(9), 2874-2883.
Savla, M., Pandhare, A., Gulunjkar, S., Pandit, P., & Dhawale, P. (2022). Automation in inventory management in MSME (micro, small, medium enterprises) warehouse by use of robots. Advancement in Materials, Manufacturing and Energy Engineering, Vol. I (pp. 263-275). Springer. https://doi.org/10.1007/978-981-16-5371-1_23
Sekaran, U., & Bougie, R. (2010). Research for Business-A Skill Building Approach. John-Wiley and Sons, New York, NY.
Sen, A., & Srivastava, M. (1990). Multiple regression. In Regression Analysis (pp. 28-59). Springer. https://doi.org/10.1007/978-3-662-25092-1_2
Sharma, A. K. (2022). The Need for an Inventory Control System. IUP Journal of Operations Management, 21(1), 59-63.
Siddiqi, D. A., Abdullah, S., Dharma, V. K., Khamisani, T., Shah, M. T., Setayesh, H., Khan, A. J., & Chandir, S. (2022). Assessment of vaccination service delivery and quality: a cross-sectional survey of over 1300 health facilities from 29 districts in Sindh, Pakistan conducted between 2017-18. BMC Health Services Research, 22(1), 1-13. https://doi.org/10.1186/s12913-022-08098-9
Slattery, E. L., Voelker, C. C., Nussenbaum, B., Rich, J. T., Paniello, R. C., & Neely, J. G. (2011). A practical guide to surveys and questionnaires. Otolaryngology--Head and Neck Surgery, 144(6), 831-837. https://doi.org/10.1177/0194599811399724
Soraya, C., Surwanti, A., & Pribadi, F. (2022). Drug Inventory Management Using ABC-VEN and EOQ Analysis for Improving Hospital Efficiency. Jurnal Aisyah: Jurnal Ilmu Kesehatan, 7(1), 373-382. https://doi.org/10.30604/jika.v7i1.1319
Taboada, H., Davizón, Y. A., Espíritu, J. F., & Sánchez-Leal, J. (2022). Mathematical Modeling and Optimal Control for a Class of Dynamic Supply Chain: A Systems Theory Approach. Applied Sciences, 12(11), 5347. https://doi.org/10.3390/app12115347
Taher, M. (2012). Resource-based view theory. Information systems theory (pp. 151-163). Springer. https://doi.org/10.1007/978-1-4419-6108-2_8
Tamer, O., & Koklu, T. (2021). A Smart Shelf Design for Retail Store Real Time Inventory Management Automation. Review of Computer Engineering Research, 8(2), 96-102. https://doi.org/10.18488/journal.76.2021.82.96.102
Yohannes, T., Boche, B., Birhanu, N., & Gudeta, T. (2022). Matrix analyses of pharmaceutical products for the years 2017 to 2019 among public health facilities in Hadiya zone, Ethiopia: a cross-sectional descriptive study. BMC Health Services Research, 22(1), 1-13. https://doi.org/10.1186/s12913-022-07568-4
Zemzam, A., Maataoui, M. E., Hlyal, M., Alami, J. E., & Alami, N. E. (2017). Inventory management of supply chain with robust control theory: literature review. International Journal of Logistics Systems and Management, 27(4), 438-465. https://doi.org/10.1504/IJLSM.2017.085223
Published
How to Cite
Issue
Section
Copyright (c) 2023 South Asian Journal of Operations and Logistics
This work is licensed under a Creative Commons Attribution 4.0 International License.
