Abstract
Manufacturing and service companies need to increase service level to ensure their survival. However, in recent years this is not the only problem with production systems, the environmental impact became a major concern for manufacturing and service companies alike. In this article, we jointly consider time, cost, and environmental impact for production planning. To achieve this goal, collaborative decision-making with three decision-makers (DMs) is assumed to adjust sustainability performance through choosing the most suitable production type and appropriate production day. Financial managers, industrial managers, and environmental managers are three decision-makers who collaborate to improve responsiveness, and to reduce total production cost, and CO2 emissions sequentially. To this end, a mixed-integer multi-objective mathematical model is suggested; Ɛ-constraint is used to solve the model. With the proposed model, DMs can make decisions on which products are produced on which day in a way to have trade-off among indicators.
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References
Battistella, C., Toni, A.D., Zan, Z.D., Pes, E.: Cultivating business model agility through focused capabilities: a multiple case study. J. Bus. Res. 73, 65–82 (2017)
Yang, J.: Supply chain agility: securing performance for Chinese manufacturers. Int. J. Prod. Econ. 150, 104–113 (2014)
Bernardes, E.S., Hanna, M.D.: A theoretical review of flexibility, agility and responsiveness in the operations management literature toward a conceptual definition of customer responsiveness. Int. J. Oper. Prod. Manag. 29(2), 30–53 (2009)
Gunasekaran, A., Laib, K., Cheng, T.C.: Responsive supply chain: a competitive strategy in a networked economy. Omega 36, 549–564 (2008)
Yusuf, M.A., Gunasekaran, A., Adeleye, E.O., Sivayoganathan, K.: Agile supply chain capabilities. Determinants of competitive objectives. Eur. J. Oper. Res. 159(2), 379–392 (2004)
Chen, K., Zhao, H., Xiao, T.: Outsourcing contracts and ordering decisions of a supply chain under multi-dimensional uncertainties. Comput. Ind. Eng. 130, 127–141 (2019)
Um, J., Lyons, A., Lam, H.K., Cheng, T.C., Dominguez-Peryd, C.: Product variety management and supply chain performance: a capability perspective on their relationships and competitiveness implications. Int. J. Prod. Econ. 187, 15–26 (2017)
Nooraie, S.R.: Mitigating supply and demand risk of disruptions through trade off among risk, cost and supply chain capabilities. Doctoral dissertation, North Carolina Agricultural and Technical State University (2017)
Kim, M., Suresh, N.C., Hillmer, C.K.: An impact of manufacturing flexibility and technological dimensions of manufacturing strategy on improving supply chain responsiveness: business environment perspective. Int. J. Prod. Res. 51(18), 5597–5611 (2013)
Gong, Y., Janssen, M.: From policy implementation to business process management: principles for creating flexibility and agility. Gov. Inf. Q. 29(1), 61–71 (2012)
Matson, J.B., McFarlane, D.C.: Assessing the responsiveness of existing production operations. Int. J. Oper. Prod. Manag. 19(8), 765–784 (1999)
Bernardes, E.S., Hanna, M.D.: A theoretical review of flexibility, agility and responsiveness in the operations management literature: toward a conceptual definition of customer responsiveness. Int. J. Oper. Prod. Manag. 29(1), 30–53 (2009)
United Nations (2015). https://sustainabledevelopment.un.org/topics/climatechange
Jäger-Waldau, A., Kougias, I., Taylor, N., Thiel, C.: How photovoltaics can contribute to GHG emission reductions of 55% in the EU by 2030. Renew. Sustain. Energy Rev. 1(126), 109836 (2020)
Sarkar, P., Rachuri, S., Suh, H.W., Lyons, K., Sriram, R.D.: A measure of product sustainability based on triple bottom line. In: ASME 2009 Int’l. Design Engineering Technical Conferences & Computers and Information in Engineering Conference IDETC/CIE, San Diego, CA (2009)
Labuschagne, C., Brent, A.C., Van Erck, R.P.G.: Assessing the sustainability performances of industries. J. Clean. Prod. 13(4), 373–385 (2005)
Ageron, B., Gunasekaran, A., Spalanzani, A.: Sustainable supply management: an empirical study. Int. J. Prod. Econ. 140(1), 168–182 (2012)
Pardo-Jaramillo, S., Muñoz-Villamizar, A., Osuna, I., Roncancio, R.: Mapping research on customer centricity and sustainable organizations. Sustainability 12(19), 7908 (2020)
Shekarian, M., Nooraie, S.V.R., Parast, M.M.: An examination of the impact of flexibility and agility on mitigating supply chain disruptions. Int. J. Prod. Econ. 220, 107438 (2020)
Medini, K., Wuest, T., Jelodari, E., Romero, D., Laforest, V.: A decision support system to operationalize customer-centric sustainability. Procedia CIRP 103, 122–127 (2021)
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Jelodari, E., Medini, K., Delorme, X. (2022). Sustainable Multi-period Production with Core and Adjacent Product Portfolio. In: Kim, D.Y., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action. APMS 2022. IFIP Advances in Information and Communication Technology, vol 664. Springer, Cham. https://doi.org/10.1007/978-3-031-16411-8_48
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