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Impact of demand characteristics on the profitability of a purchasing strategy

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EN
Abstrakty
EN
The problem presented in this article concerns the impact of demand characteristics for consumer goods on the profitability of purchasing strategy, including the choice of both the source of supply and transport technology (deliveries in containers by sea, rail, air, and road transport). To assess the profitability of applying a specific strategy, the author developed a model to conduct simulations using the Monte Carlo approach for two demand distributions (Gaussian and Gamma), various sales fluctuations, and changes in demand during the delivery time. Calculations were carried out considering the costs of transport, storage, capital costs related to maintaining stocks, and costs of lost sales. The simulation results show that the greater the fluctuations and the lower the predictability of the demand, the greater the profitability of deliveries using air transport and local deliveries. However, concrete decisions depend on knowledge of the consequences of making these decisions and whether appropriate cost accounting is used in enterprises. The results of the calculations also indicate that the strategy of outsourcing production in low-cost countries will, in many cases, become unprofitable if production costs in these countries increase even slightly.
Rocznik
Strony
70--79
Opis fizyczny
Bibliogr. 33 poz., rys., tab.
Twórcy
  • University of Szczecin, Faculty of Economics, Finance, and Management Institute of Management, Department of Organization and Management 8 Cukrowa St., 71-004 Szczecin, Poland
Bibliografia
  • 1. Boute, R., Lambrecht, M., Lambrechts, O. & Sterckx, P. (2006) An analysis of the variation in inventory performance in the Belgian manufacturing industry and the financial impact of inventories. Working paper, Research Center for Operations Management, Katholieke Universiteit Leuven, Leuven, pp. 681–690.
  • 2. Brakman, S., Garretsen, H. & van Witteloostuijn, A. (2020) The turn from just-in-time to just-in-case globalization in and after times of COVID-19: An essay on the risk re-appraisal of borders and buffers. Social Sciences & Humanities Open 2, 1, 100034, doi: 10.1016/j.ssaho. 2020.100034.
  • 3. Chen, F., Drezner, Z., Ryan, J.K. & Simchi-Levi, D. (2000) Quantifying the bullwhip effect in a simple supply chain: the impact of forecasting, lead times, and information. Management Science 46, 3, pp. 436–443.
  • 4. Danese, P. & Romano, P. (2011) Supply chain integration and efficiency performance: a study on the interactions between customer and supplier integration. Supply Chain Management 16 (4), pp. 220–230, doi: 10.1108/13598541111139044.
  • 5. Flynn, B.B., Huo, B. & Zhao, X., (2010) The impact of supply chain integration on performance: a contingency and configuration approach. Journal of Operations Management 28, pp. 58–71.
  • 6. Free, C. & Hecimovic, A. (2021) Global supply chains after COVID-19: the end of the road for neoliberal globalisation? Accounting, Auditing & Accountability Journal 34, 1, pp. 58–84, doi: 10.1108/AAAJ-06-2020-4634.
  • 7. Han, C., Dresner, M. & Windle, R. J. (2008) Impact of global sourcing and exports on US manufacturing inventories. International Journal of Physical Distribution & Logistics Management 38, 6, pp. 475–494.
  • 8. JCC (2021) Stawki na transport z Chin. [Online] Available from: https://www.importchiny.pl/stawki_z_chin.php [Accessed: February 16, 2021].
  • 9. Kinkel, S. & Maloca S. (2009) Drivers and antecedents of manufacturing offshoring and backshoring – a German perspective. Journal of Purchasing & Supply Management 15, 3, pp. 154–165.
  • 10. Kotabe, M. (1998) Efficiency vs. effectiveness orientation of global sourcing strategy: a comparison of US and Japanese multinational companies. The Academy of Management Executive 12, 4, pp. 107–119.
  • 11. Kumar, V., Bak, O., Guo, R., Shaw, S., Colicchia, C., Garza-Reyes, J.A. & Kumari, A. (2018) An empirical analysis of supply and manufacturing risk and business performance: a Chinese manufacturing supply chain perspective. Supply Chain Management 23 (5). pp. 461–479, doi: 10.1108/SCM-10-2017-0319.
  • 12. McMaster, M., Nettleton, Ch., Tom, Ch., Xu, B., Cao, Ch. & Qiao, P. (2020) Risk Management: Rethinking Fashion Supply Chain Management for Multinational Corporations in Light of the COVID-19 Outbreak. Journal of Risk and Financial Management 13 (8), 173, doi: 10.3390/ jrfm13080173.
  • 13. Milewska, B. & Milewski, D. (2017) Efektywność strategii zakupów. Eurologistics 3/2017, pp. 18–21.
  • 14. Milewski, D. (2019) Simulation as a way of optimizing a delivery size: Impact on the profitability of an enterprise. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie 59 (131), pp. 92–99.
  • 15. Milewski, D. & Milewska, B. (2018a) Outsourcing of logistic services in the clothing industry. European Journal of Service Management 28/2, 4, pp. 277–282, doi: 10.18276/ ejsm.2018.28/2-34.
  • 16. Milewski, D. & Milewska, B. (2018b) The efficiency of a supply chain with the use of maritime transport on the example of the apparel industry. SHS Web of Conferences 58, 01019, GLOBMAR 2018, doi: 10.1051/shsconf/ 20185801019.
  • 17. Moradlou, H. & Backhouse, C. J (2016) A review of manufacturing re-shoring in the context of customer-focused postponement strategies. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 230, 9, doi: 10.1177/0954405415623486.
  • 18. Murray, J., Kotabe, M. & Wildt, A. (1995) Strategic and financial performance implications of global sourcing strategy: a contingency analysis. Journal of International Business Studies 26, 1, pp. 181–202.
  • 19. Parast, M.M. & Nachiappan, S. (2021) An examination of the effect of supply chain disruption risk drivers on organizational performance: evidence from Chinese supply chains. Supply Chain Management 26, 4, pp. 548–562, doi: 10.1108/SCM-07-2020-0313.
  • 20. Platts, K.W. & Song, N. (2010) Overseas sourcing decisions – the total cost of sourcing from China. Supply Chain Management 15, 4, pp. 320–331, doi: 10.1108/13598541011054689.
  • 21. Qi, Y., Zhao, X. & Sheu, C. (2011) The Impact of Competitive Strategy and Supply Chain Strategy on Business Performance: The Role of Environmental Uncertainty. Decision Science 42, 2, pp. 371–389, doi: 10.1111/j.1540- 5915.2011.00315.x.
  • 22. Rajeev, S. & Narendar, S. (2005) Coping with customs clearance uncertainties in global sourcing. International Journal of Physical Distribution & Logistics Management 35, 4, pp. 278–295, doi: 10.1108/09600030510599931.
  • 23. Revkin, A.C. (2008) Are Oil Costs Creating a ‘Made Here’ Movement? New York Times August 2.
  • 24. Rohter, L. (2008) Shipping Costs Start to Crimp Globalization. New York Times August 3.
  • 25. Rugman, A.M. & Li, J. (2007) Will China’s multinationals succeed locally or regionally? European Management Journal 25, 5, pp. 333–343, doi: 10.1016/j.emj.2007.07.005.
  • 26. Rugman, A.M., Li, J. & Oh, C.H. (2009) Are supply chains global or regional? International Marketing Review 26, 4/5, pp. 384–395, doi: 10.1108/02651330910971940.
  • 27. Safra, I., Jebali, A., Jemai, Z., Bouchriha, H. & Ghaffari, A. (2019) Capacity planning in textile and apparel supply chains. IMA Journal of Management Mathematics 30, 2, pp. 209–233, doi: 10.1093/imaman/dpy006.
  • 28. Schiele, H., Horn, P. & Vos, B. (2011) Estimating cost-saving potential from international sourcing and other sourcing levers: Relative importance and trade-offs. International Journal of Physical Distribution & Logistics Management 41, 3, pp. 315–336, doi: 10.1108/09600031111123813.
  • 29. Srivastava, S.K. & Bansal, S. (2013) Measuring and comparing volume flexibility across Indian firms. International Journal of Business Performance Management 14, 1, pp. 38–51, doi: 10.1504/IJBPM.2013.050510.
  • 30. Sukati, I., Hamid, A.B. & Baharun, R. (2013) Testing the Effect of the Supply Chain Management Implementation on Business Performance: An Empirical Study. International Business Research 6, 1, pp. 76–89, doi: 10.5539/ibr. v6n1p76.
  • 31. Świerczek, A. & Szozda, N. (2019) Demand planning as a tamer and trigger of operational risk disruptions: evidence from the European supply chains. Supply Chain Management 24, 6, pp. 748–766, doi: 10.1108/SCM-03-2019-0095.
  • 32. UNCTAD (2021) Shipping during COVID-19: Why container freight rates have surged. [Online] 23 April. Available from: https://unctad.org/news/shipping-during-covid-19- why-container-freight-rates-have-surged [Accessed: February 16, 2021].
  • 33. Yi, C.Y., Ngai, E.W.T. & Moon, K.-L. (2011) Supply chain flexibility in an uncertain environment: Exploratory findings from five case studies. Supply Chain Management 16, 4, pp. 271–283, doi: 10.1108/13598541111139080.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a57b55a5-8418-4620-bd66-aefedacbc47a
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