Designing a supply chain network for agricultural waste from the country's palm groves

Document Type : Original Article

Authors

Department of Economic and Social Systems Engineering, Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran.

Abstract
Purpose: In recent years, environmental management, with a focus on environmental protection, has become one of the main priorities of governments and organizations. One key area in this regard is the design of supply chain networks with environmental approaches, which helps integrate production processes with sustainability goals.
Methodology: This study aims to investigate the feasibility of using palm tree pruning waste in the production of Medium-Density Fiberboard (MDF). As one of the richest plant resources in the country, the palm tree has high potential for application in the wood industry and for reducing environmental waste.
Findings: First, the biological and structural characteristics of palm trees are examined. Then, using this raw material, a supply chain network design model for MDF production is developed. The model's performance is evaluated and compared under different operational and environmental conditions.
Originality/Value: The findings indicate that using palm waste in MDF production not only helps reduce environmental waste but also contributes to the design of an efficient and green supply chain. Moreover, the study highlights a lack of prior research on this specific topic, underscoring the innovative aspect of the work.

Keywords


[1]     Aghamolaei, S., Kazemi, B., Bandehpour, M., Ranjbar, M. M., Rouhani, S., Mamaghani, A. J., & Tabaei, S. J. S. (2020). Design and expression of polytopic construct of cathepsin-L1, SAP-2 and FhTP16. 5 proteins of fasciola hepatica. Journal of helminthology, 94, e134. https://doi.org/10.1017/S0022149X20000140
[2]     Hosseinkhani, H. (2014). MDF production from date palm pruning residues in pilot plant scale. Iranian journal of wood and paper science research, 29(4), 594–608. https://doi.org/10.22092/ijwpr.2014.10619
[3]     Hosseinkhani, H. (2015). MDF production from date palm pruning residues in pilot plant scale. Iranian journal of wood and paper science research. 29(4), 591–604. http://en.journals.sid.ir/ViewPaper.aspx?ID=417491
[4]     Dix, B., Thole, V., & Marutzky, R. (1999). Poplar and eucalyptus wood as raw material for wood-based panels. Industrial end-uses of fast-grown species. eurowood technical workshop proceedings. (pp. 93–102). CABI Digital Library. https://www.cabidigitallibrary.org/doi/full/10.5555/20000610928
[5]     Jonoobi, M., Shafie, M., Shirmohammadli, Y., Ashori, A., Hosseinabadi, H. Z., & Mekonnen, T. (2019). A review on date palm tree: Properties, characterization and its potential applications. Journal of renewable materials, 7(11), 1055–1075. https://doi.org/10.32604/jrm.2019.08188
[6]     Roffael, E., Dix, B., Khoo, K. C., Ong, C. L., & Lee, T. W. (1992). Medium density fibreboard (MDF) from young poplar (populus trichocarpa) of different properties. Cabidigitallibrary.org, 46(2), 163–170. https://www.cabidigitallibrary.org/doi/full/10.5555/19930669735
[7]     Jaber, M. A., Hammadi, K. J., Karem, A. A. A., & Abd-Alrazak, M. (2016). Physical and mechanical properties of medium density fiberboard made of palm fronds and trunks. Asian journal of applied sciences, 4(4), 972–978. http://www.ajouronline.com/
[8]     Adam, A. B. A., Basta, A. H., & El-Saied, H. (2018). Evaluation of palm fiber components an alternative biomass wastes for medium density fiberboard manufacturing. Maderas. ciencia y tecnología, 20(4), 579–594. http://dx.doi.org/10.4067/S0718-221X2018005004601
[9]     Faiad, A., Alsmari, M., Ahmed, M. M. Z., Bouazizi, M. L., Alzahrani, B., & Alrobei, H. (2022). Date palm tree waste recycling: Treatment and processing for potential engineering applications. Sustainability, 14(3), 1134. https://doi.org/10.3390/su14031134
[10]   EL-Mously, H., Midani, M., & Darwish, E. A. (2023). Date palm byproducts as timber and wood substitutes. In Date palm byproducts: A springboard for circular bio economy (pp. 139–177). Springer.  https://doi.org/10.1007/978-981-99-0475-4_6
[11]   van Berlo, J. M. (1993). A decision support tool for the vegetable processing industry; An integrative approach of market, industry and agriculture. Agricultural systems, 43(1), 91–109. https://doi.org/10.1016/0308-521X(93)90094-I
[12]   Jolayemi, J. K. (1996). An integrated model for planning and managing multi-regional mixed-crop farming schemes. Ecological modelling, 84(1–3), 63–74. https://doi.org/10.1016/0304-3800(94)00146-4
[13]   Allen, S. J., & Schuster, E. W. (2004). Controlling the risk for an agricultural harvest. Manufacturing & service operations management, 6(3), 225–236. https://doi.org/10.1287/msom.1040.0035
[14]   Rantala, J. (2004). Optimizing the supply chain strategy of a multi-unit Finnish nursery company, 38(2), 203–215. https://jukuri.luke.fi/bitstream/handle/10024/532571/Rantala.pdf?sequence=1
[15]   Apaiah, R. K., & Hendrix, E. M. T. (2005). Design of a supply chain network for pea-based novel protein foods. Journal of food engineering, 70(3), 383–391. https://doi.org/10.1016/j.jfoodeng.2004.02.043
[16]   Ferrer, J. C., Mac Cawley, A., Maturana, S., Toloza, S., & Vera, J. (2008). An optimization approach for scheduling wine grape harvest operations. International journal of production economics, 112(2), 985–999. https://doi.org/10.1016/j.ijpe.2007.05.020
[17]   Ahumada, O., Villalobos, J. R., & Mason, A. N. (2012). Tactical planning of the production and distribution of fresh agricultural products under uncertainty. Agricultural systems, 112, 17–26. https://doi.org/10.1016/j.agsy.2012.06.002
[18]   Navazi, F., Sazvar, Z., & Tavakkoli-Moghaddam, R. (2023). A sustainable closed-loop location-routing-inventory problem for perishable products. Scientia iranica, 30(2), 757–783. https://doi.org/10.24200/sci.2021.55642.4353
[19]   Kazemi, M. J., Paydar, M. M., & Safaei, A. S. (2023). Designing a bi-objective rice supply chain considering environmental impacts under uncertainty. Scientia iranica, 30(1), 336–355. https://doi.org/10.24200/sci.2021.55935.4481
[20]   Jabarzadeh, Y., Reyhani Yamchi, H., & Ghaffarinasab, N. (2020). A Multi-objective mathematical model for managing sustainable direct and reverse supply chain of apple considering foreign markets. Journal of international business administration, 3(1), 139–166. https://doi.org/10.22034/jiba.2020.10384
[21]   Fleischmann, M., Bloemhof-Ruwaard, J. M., Dekker, R., der Laan, E., Van Nunen, J. A. E. E., & Van Wassenhove, L. N. (1997). Quantitative models for reverse logistics: A review. European journal of operational research, 103(1), 1–17. https://doi.org/10.1016/S0377-2217(97)00230-0
[22]   Zhang, Y., Chu, F., Che, A., Yu, Y., & Feng, X. (2019). Novel model and kernel search heuristic for multi-period closed-loop food supply chain planning with returnable transport items. International journal of production research, 57(23), 7439–7456. https://doi.org/10.1080/00207543.2019.1615650
[23]   Banasik, A., Kanellopoulos, A., Claassen, G. D. H., Bloemhof-Ruwaard, J. M., & van der Vorst, J. G. A. J. (2017). Closing loops in agricultural supply chains using multi-objective optimization: A case study of an industrial mushroom supply chain. International journal of production economics, 183, 409–420. https://doi.org/10.1016/j.ijpe.2016.08.012
[24]   Cheraghalipour, A., Paydar, M. M., & Hajiaghaei-Keshteli, M. (2018). A bi-objective optimization for citrus closed-loop supply chain using Pareto-based algorithms. Applied soft computing, 69, 33–59. https://doi.org/10.1016/j.asoc.2018.04.022
[25]   Göbel, C., Langen, N., Blumenthal, A., Teitscheid, P., & Ritter, G. (2015). Cutting food waste through cooperation along the food supply chain. Sustainability, 7(2), 1429–1445. https://doi.org/10.3390/su7021429
[26]   Jabarzadeh, Y., Reyhani Yamchi, H., Kumar, V., & Ghaffarinasab, N. (2020). A multi-objective mixed-integer linear model for sustainable fruit closed-loop supply chain network. Management of environmental quality: an international journal, 31(5), 1351–1373. https://doi.org/10.1108/MEQ-12-2019-0276
[27]   Salehi-Amiri, A., Zahedi, A., Akbapour, N., & Hajiaghaei-Keshteli, M. (2021). Designing a sustainable closed-loop supply chain network for walnut industry. Renewable and sustainable energy reviews, 141, 110821. https://doi.org/10.1016/j.rser.2021.110821
[28]   Babazadeh, R., & Sabbaghnia, A. (2018). Evaluating the performance of robust and stochastic programming approaches in a supply chain network design problem under uncertainty. International journal of advanced operations management, 10(1), 1–18. https://doi.org/10.1504/IJAOM.2018.091313
[29]   Babazadeh, R., & Sabbaghnia, A. (2018). Optimisation of supply chain networks under uncertainty: conditional value at risk approach. International journal of management and decision making, 17(4), 488–508. https://doi.org/10.1504/IJMDM.2018.095736
[30]   Babazadeh, R., & Tavakkoli-Moghaddam, R. (2017). A hybrid GA-TLBO algorithm for optimizing a capacitated three-stage supply chain network. International journal of industrial engineering & production research, 28(2), 151–161.  10.22068/ijiepr.28.2.151
[31]   Li, X., Holsapple, C. W., & Goldsby, T. J. (2019). The structural impact of supply chain management teams: Supply chain agility development in multidivisional firms. Management research review, 42(2), 290–310. https://doi.org/10.1108/MRR-04-2018-0163
[32]   Garcia, C. A., & Hora, G. (2017). State-of-the-art of waste wood supply chain in Germany and selected European countries. Waste management, 70, 189–197. https://doi.org/10.1016/j.wasman.2017.09.025