Design Lean Supply Chain for Post COVID-19
Keywords:
lean production, global supply chain, sustainability, economic recoveryAbstract
Because of e-commerce, consumers request the immediate delivery of goods as well as product variety. The COVID-19 pandemic caused a lockdown within and between countries from 2020. This escalated serious challenges already faced by global supply chains in terms of the bullwhip effect and excess inventory. Global supply chains require sustainability. With the development and rollout of COVID-19 vaccines, economic recovery is expected. However, the research on the economic recovery of supply chains is limited. This study applies sustainability, lean production, and supply chain management to propose a sustainable lean supply chain framework and practical tools that cover four business settings. This study also discusses the use of the framework during the repair, shock, and rebound periods of economic recovery as the COVID-19 pandemic retreats. The aim is that enterprises will be able to flexibly adjust the supply chain and proactively prepare during the period of economic recovery.
References
Abdul-Rashid, S. H., Sakundarini, N., Ariffin, R., & Ramayah, T. (2017). Drivers for the adoption of sustainable manufacturing practices: A Malaysia perspective. International Journal of Precision Engineering and Manufacturing, 18, 1619–1631.
Angelus, A., & Porteus, E. L. (2002). Simultaneous capacity and production management of short-lifecycle, produce-to-stock goods under stochastic demand. Management Science, 48(3), 399–413. http://doi.org/10.1287/mnsc.48.3.399.7726
Aviv, Y. (2007). On the benefits of collaborative forecasting partnerships between retailers and manufacturers. Management Science, 53(5), 777–794.
Barbosa-Filho, N. H., & Taylor, L. (2006). Distributive and demand cycles in the US economy – A Structuralist Goodwin Model. Metroeconomica, 57(3), 389–411. http://doi.org/10.1111/j.1467-999X.2006.00250.x
Braungart, M., & McDonough, W. (2002). Cradle to cradle: Remaking the way we make things. North Point Press. http://doi.org/10.5860/CHOICE.40-0914
Cachon, G. P., & Lariviere, M. A. (1999). Capacity choice and allocation: Strategic behavior and supply chain performance. Management Science, 45(8), 1091–1108. http://doi.org/10.1287/mnsc.45.8.1091
Cachon, G. P. (1999). Managing supply chain demand variability with scheduled ordering policies. Management Science, 45(6), 843–856. http://doi.org/10.1287/mnsc.45.6.843
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), 436–443. http://doi.org/10.1287/mnsc.46.3.436.12069
Choi, S.S., & Lee, J.Y. (2017). Development of a framework for the integration and management of sustainability for small- and medium-sized enterprises. International Journal of Computer Integrated Manufacturing, 30, 1190–1202. http://doi.org/10.1080/0951192X.2017.1305506
Christopher, M. (2005). Logistics and supply chain management: Creating value-adding networks. Pearson Education: New York, USA. http://doi.org/10.1108/20426741111123041
Croson, R., & Donohue, K. (2005). Upstream versus downstream information and its impact on the bullwhip effect. System Dynamics Review, 21(3), 249–260. http://doi.org/10.1002/sdr.320
Drautzburg, T. (2019). Why are recessions so hard to predict? Random shocks and business cycles. Economic Insight, 4(1), 1-8. http://doi.org/10.20955/es.2019.9
Evans, S., Vladimirova, D., Holgado, M., Van Fossen, K., Yang, M., Silva, E. A., & Barlow, C. Y. (2017). Business model innovation for sustainability: Towards a unified perspective for creation of sustainable business models. Business Strategy and the Environment, 608, 597–608. http://doi.org/10.1002/bse.1939
Flaschel, P., Kauermann, G., & Teuber, T. (2008). Long cycles in employment, inflation and real wage costs. American Journal of Applied Sciences, Special Issue, 69–77. http://doi.org/10.3844/ajassp.2005.69.77
Ellabban, O., Abu-Rub, H., & Blaabjerg, F. (2014). Renewable energy resources: Current status, future prospects and their enabling technology. Renewable and Sustainable Energy Reviews, 39, 748–764. http://doi.org/10.1016/j.rser.2014.07.113
Gaur, V., Fisher, M. L., & Raman, A. (2005). An econometric analysis of inventory turnover performance in retail services. Management Science, 51(2), 181–194. http://doi.org/10.1287/mksc.1080.0408
Guo, L. (2009). The benefits of downstream information acquisition. Marketing Science, 28(3), 457–471. http://doi.org/10.1287/mnsc.1040.0298
Lu, J., Humphreys, P., McIvor, R., Maguire, L., & Wiengarten, F. (2012). Applying genetic algorithms to dampen the impact of price fluctuations in a supply chain. International Journal of Production Research, 50(19), 5396–5414. http://doi.org/10.1080/00207543.2011.630041
Medina-Serrano, R., Gonzalez-Ramirez, R., Gasco-Gasco, J., & Llopis-Tavern, J. (2021). How to evaluate supply chain risks, including sustainable aspects? A case study from the German industry. Journal of Industrial Engineering and Management, 14(2), 120-134. https://doi.org/10.3926/jiem.3175
Muafi & Kusumawati, R.A. (2021). A nexus between Green HRM (GHRM), Supply Chain Performance (SCP) and Business Performance (BP): The mediating role of Supply Chain Organizational Learning (SCOL). Journal of Industrial Engineering and Management, 14(2), 329-344. https://doi.org/10.3926/jiem.3339
Nordhaus, W. D. (1975). The political business cycle. Review of Economic Studies, 42(2), 169-190. http://doi.org/10.2307/2296528
Novitasari, M., & Agustia, D. (2021). Green supply chain management and firm performance: The mediating effect of green innovation. Journal of Industrial Engineering and Management, 14(2), 391-403. https://doi.org/10.3926/jiem.3384
Orjuela-Castro, J.A., Orejuela-Cabrera, J.P., & Adarme-Jaimes, W (2021). Logistics network configuration for seasonal perishable food supply chains. Journal of Industrial Engineering and Management, 14(2), 135-151. https://doi.org/10.3926/jiem.3161
Pipatprapa, A., Huang, H. H., & Huang, C. H. (2018). Enhancing the effectiveness of AHP for environmental performance assessment of Thailand and Taiwan’s food industry. Environmental Monitoring & Assessment, 190, 748. http://doi.org/10.1007/s10661-018-7113-5
Rahani, A. R., & Al-Ashraf, M. (2012). Production flow analysis through value stream mapping: A Lean production process case study. Procedia Engineering, 41, 1727–1734. http://doi.org/10.1016/j.proeng.2012.07.375
Roychowdhury, S. (2006). Earnings management through real activities manipulation. Journal of Accounting and Economics, 42(3), 335–370.
Scarano, F.R. (2019). The emergence of sustainability. In L. Wegener & U. Lüttge (Eds.), Emergence and Modularity in Life Sciences (pp. 51-71). Springer-Nature: Cham, Switzerland. http://doi.org/10.1007/978-3-030-06128-9_3
Schmidt, G., & Wilhelm, W. E. (2000). Strategic, tactical and operational decisions in multi-national logistics networks: A review and discussion of modeling issues. International Journal of Production Research, 38(7), 1501–1523. http://doi.org/10.1080/002075400188690
Singh, S., Ramakrishna, S., & Gupta, M.K. (2017). Towards zero waste manufacturing: A multidisciplinary review. Journal of Cleaner Production, 168, 1230–1243. http://doi.org/10.1016/j.jclepro.2017.09.108
Sogomonian, A. G., & Tang, C. S. (1993). A modeling framework for coordinating promotion and production decisions within a firm. Management Science, 39(2), 191–203. http://doi.org/10.1287/mnsc.39.2.191
Sutherland, J., & Bennett, B. (2007). The seven deadly wastes of logistics: Applying Toyota Production System principles to create logistics value. White Paper, 701, 40–50. http://doi.org/10.2307/3718766
United Nations. Sustainable development goals. (2015) http://www.un.org/sustainabledevelopment/sustainable-development-goals/ (Accessed: September 2020).
Wasserman, I.M. (1984). The influence of economic business cycles on United States suicide rates. Suicide and Life-Threatening Behavior, 14, 143-156. http://doi.org/10.1111/j.1943-278X.1984.tb00445.x
Downloads
Published
Issue
Section
License
The Journal reserves the right to make normative, spelling and grammatical changes in the published article, aiming at maintaining the proper standard of the language, while respecting the personal style of the authors.
Author (s) are fully responsible for the published article. Journal of Lean Systems is not responsible for any violations of Copyright.
Journal of Lean Systems allows the author to retain the copyright of articles accepted for publication without restriction.
Plagiarism constitutes unethical behavior and is inconceivable. This journal reserves the right to use any methods of detecting plagiarism to analyze the submitted works.
This journal is licensed under a Creative Commons License.