The Influence of Lead Time Variance, Quotation process and Local purchasing order generationon Inventory Management Performance in Humanitarian Organizations; A Case Study Of Afghan Red Crescent Society Medical Supply Chain
Keywords:
Lead Time Variance, Quotation process, Local purchasing order generation, inventory managementAbstract
Purpose:The main purpose of this study was to establish the influence of lead time variance, quotation process and local purchasing order generation optimization on inventory management performance in Afghan Red Crescent Society Medical Supply Chain.
Methodology:This study adopted descriptive survey design. The target population of the study was 45 end user clinics and 916 experts and procurement professionals existing in the email database of the researcher at the time of study. The sample size of the study was 96 respondents who were divided into strata’s of 41 end user clinics and 55 procurement experts. This study used both primary and secondary data collected using questionnaires and secondary data collection guide. Secondary data wascollected for all variables from 10 end user clinics. Data analysis was done using SPSS generating both descriptive and inferential statistics like Pearson’s bivariate correlation and regression analysis. Descriptive statistics included; frequencies, mean and standard deviation. Data analysis output was presented using tables and cartographies like pie charts and line graphs.
Results:Result findings indicated that over 80% of the leadtime for end user clinics was contributed by ACRCS process and this was supported by both the customer satisfaction survey as well the reported R squared in regression analysis.Quotation lead time was found to be statistically significant in explaining overall lead time in Afghan Red Crescent Society Medical Supply Chain. Further, Results revealed that it took a maximum of 20 days and a minimum of 11 days for the entire local purchase order process. The average mean was 14.55 days to prepare and deliver to supplier the confirmed request documents for the supply of goods. The skewness statistics was 0.983 which indicates that thevariable was skewed slightly to the right which implies that the local purchase order lead time had minimal outliers. Regression results indicate that LPO lead time was not statistically significant in explaining overall lead time
Unique contribution to theory, practice and policy: It is recommended to the management of ARCS to embrace strategies that can lead to reduction of lead time such as vendor managed inventory which enables the customer’s partnership channel to be more efficient due to better planning coordination, reduced needs for inventories with increased sales by focusing on selling what end-customer wants.
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References
Agrawal, M., Chari, K. (2007). Software effort, quality, and cycle time: A study of cmmlevel 5 projects. IEEE Trans. Software Eng. 33(3), 145–156 (2007)
Beck, K. (2009).Embracing change with extreme programming. IEEE Computer 32(10),70–77 (2004)
Bourland, K.E., Powell, S.G. & Pyke, D.F., (1996).Exploiting timely demand information to reduce inventories.European Journal of Operational Research 92 (2), 239–253.
Carmel, E. (2004). Cycle time in packaged software firms. Journal of Product InnovationManagement 12(2), 110–123 (2004)
Collier, M. (2005). Issues in software cycle time reduction. In: Proceedings of the 2005 IEEE Fourteenth Annual International Phoenix Conference on Computers andCommunications, pp. 302–309 (2005)
Dejonckheere, J., Disney, S.M., Lambrecht, M.R. &Towill, D.R. (2003). The impact of information enrichment on the Bullwhip effect in supply chains: a control engineering perspective. European Journal of Operational Research 153 (3), 727–750.
Harter, D.E., Krishnan, M.S., Slaughter, S.A. (2000).Effects of process maturity onquality, cycle time, and effort in software product development. Management Science46(4) (2000)
Heizer, J. and Render, B. (2004).Operations management (7th ed.). Upper Saddle River, NJ: Prentice Hall.
Kowalski, (2009). Supply management orientation and supplier/buyer performance, Journal of Operations Management, Vol. 18 No. 3, pp. 317-33
Nordas, H. K., Pinali, E. &Geloso, G. M. (2006). Logistics and Time as a Trade Barrier, OECD Trade Policy Working Papers, No. 35, OECD Publishing. Doi:10.1787/664220308873 on Safety Stocks. Decision Sciences Volume 35 Number 1 Performance through Enterprise Logistics Management, Oliver Wight, Brattleboro, VT. Pp. 29-31.
Pearson, J.N., Ellram, L.M.&Carter, C.R. (1996). Hybrid stockless: a case study: lessons for supply chain integration, International Journal of Operations & Production Management, Vol. 22 No. 4, pp. 412-24.
Petersen, K., Wohlin, C. (2009).A comparison of issues and advantages in agile andincremental development between state of the art and an industrial case.Journalof Systems and Software 82(9) (2009)
Petersen, K.,Wohlin, C., Baca, D. (2009). The waterfall model in large-scale development.In: Proceedings of the 10th International Conference on Product-Focused SoftwareProcess Improvement (PROFES 2009), pp. 386–400 (2009)
Rivard and Royer et al., (2002). Innovation generation in supply chain relationships: a conceptual model and research propositions, Journal of the Academy of Marketing Science, Vol. 32 No. 1, pp. 61-79.
Schneller, Eugene S. and Smeltzer, Larry R. (2006).Strategic Management of the Health Care Supply Chain.San Francisco, CA: Josey-Bass
Singh, et al., (2006). Supply management orientation and supplier/buyer performance, Journal of Operations Management, Vol. 18 No. 3, pp. 317-33.
Stevenson, W. J. and Hojati, M. (2004). Operations management (2nd ed.). Canada: McGraw-Hill Ryerson Higher Education.
Teece (2007). Explication dynamic capabilities: The nature and micro foundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13) pp. 1310-1350.
Thonemann, U.W. (2002). Improving supply-chain performance by sharing advance demand information.European Journal of Operational Research 142 (1), 81–107.
Whybark, D. C., Steven, A. M. &Jamison, D. (2010). Disaster Relief Supply ChainManagement: New Realities, Management Challenges, Emerging Opportunities, Decision Line,no. 5, pp. 4–7, 2010.
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