Design Lean Supply Chain for Post COVID-19


  • Chinglung Chang Graduate Institute of Business Administration, Fu Jen Catholic University
  • Pinglung Huang Graduate Institute of Business Administration, Fu Jen Catholic University


lean production, global supply chain, sustainability, economic recovery


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.

Author Biography

Chinglung Chang, Graduate Institute of Business Administration, Fu Jen Catholic University

No.510, Zhongzheng Rd., Xinzhuang Dist., New Taipei City 24205, Taiwan (R.O.C.)


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.

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.

Braungart, M., & McDonough, W. (2002). Cradle to cradle: Remaking the way we make things. North Point Press.

Cachon, G. P., & Lariviere, M. A. (1999). Capacity choice and allocation: Strategic behavior and supply chain performance. Management Science, 45(8), 1091–1108.

Cachon, G. P. (1999). Managing supply chain demand variability with scheduled ordering policies. Management Science, 45(6), 843–856.

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.

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.

Christopher, M. (2005). Logistics and supply chain management: Creating value-adding networks. Pearson Education: New York, USA.

Croson, R., & Donohue, K. (2005). Upstream versus downstream information and its impact on the bullwhip effect. System Dynamics Review, 21(3), 249–260.

Drautzburg, T. (2019). Why are recessions so hard to predict? Random shocks and business cycles. Economic Insight, 4(1), 1-8.

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.

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.

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.

Gaur, V., Fisher, M. L., & Raman, A. (2005). An econometric analysis of inventory turnover performance in retail services. Management Science, 51(2), 181–194.

Guo, L. (2009). The benefits of downstream information acquisition. Marketing Science, 28(3), 457–471.

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.

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.

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.

Nordhaus, W. D. (1975). The political business cycle. Review of Economic Studies, 42(2), 169-190.

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.

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.

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.

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.

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.

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.

Singh, S., Ramakrishna, S., & Gupta, M.K. (2017). Towards zero waste manufacturing: A multidisciplinary review. Journal of Cleaner Production, 168, 1230–1243.

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.

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.

United Nations. Sustainable development goals. (2015) (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.