Open Access
Issue |
BIO Web Conf.
Volume 97, 2024
Fifth International Scientific Conference of Alkafeel University (ISCKU 2024)
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Article Number | 00135 | |
Number of page(s) | 17 | |
DOI | https://doi.org/10.1051/bioconf/20249700135 | |
Published online | 05 April 2024 |
- Abdel-Basset, M., Manogaran, G., & Mohamed, M. (2018). Internet of Things (IoT) and its impact on supply chain: A framework for building smart, secure and efficient systems. Future Generation Computer Systems, 86, 614–628. https://doi.org/10.1016/j.future.2018.04.051 [CrossRef] [Google Scholar]
- Abdul Rahman, M.H., Sadi, T., Ahmad, A.A., Masri, I.N., Mohammad Yusoff, M., Kamaruddin, H., Shakri, N.A., Hamid, M.A.A., & Ab. Malek, R. (2020). Inventory and composting of yard waste in Serdang, Selangor, Malaysia. Heliyon, 6(7), e04486. https://doi.org/10.1016/j.heliyon.2020.e04486 [CrossRef] [PubMed] [Google Scholar]
- Agnusdei, G.P., Coluccia, B., Elia, V., & Miglietta, P.P. (2022). IoT technologies for wine supply chain traceability: Potential application in the Southern Apulia Region (Italy). Procedia Computer Science, 200(2019), 1125–1134. https://doi.org/10.1016/j.procs.2022.01.312 [CrossRef] [Google Scholar]
- Akbari, M., & Hopkins, J.L. (2022). Digital technologies as enablers of supply chain sustainability in an emerging economy. Operations Management Research, 15(3-4), 689–710. https://doi.org/10.1007/s12063-021-00226-8 [CrossRef] [Google Scholar]
- Alarcon Ortega, E.J., & Doerner, K.F. (2023). A sampling-based matheuristic for the continuous-time stochastic inventory routing problem with timewindows. Computers and Operations Research, 152(January), 106129. https://doi.org/10.1016/j.cor.2022.106129 [CrossRef] [Google Scholar]
- Alshehri, D.M. (2023). Blockchain-assisted internet of things framework in smart livestock farming. Internet of Things (Netherlands), 22(March), 100739. https://doi.org/10.1016/j.iot.2023.100739 [CrossRef] [Google Scholar]
- Anand, S., & Barua, M.K. (2023). Evaluating intensity of barriers to implementing collaborative practices in the agri-fresh produce industry: A graph theoretic and matrix approach. Journal of Cleaner Production, 395(February), 136395. https://doi.org/10.1016/j.jclepro.2023.136395 [CrossRef] [Google Scholar]
- Aytaç, K., & Korçak, Ö. (2021). IoT based intelligence for proactive waste management in Quick Service Restaurants. Journal of Cleaner Production, 284. https://doi.org/10.1016/j.jclepro.2020.125401 [Google Scholar]
- Banerjee, S., & Agrawal, S. (2017). Inventory model for deteriorating items with freshness and price dependent demand: Optimal discounting and ordering policies. Applied Mathematical Modelling, 52, 53–64. https://doi.org/10.1016/j.apm.2017.07.020 [CrossRef] [Google Scholar]
- Biuki, M., Kazemi, A., & Alinezhad, A. (2020). An integrated location-routinginventory model for sustainable design of a perishable products supply chain network. Journal of Cleaner Production, 260, 120842. https://doi.org/10.1016/j.jclepro.2020.120842 [CrossRef] [Google Scholar]
- Blumenfeld, D.E., Daganzo, C.F., Frick, M.C., and D.J.A.G. (1999). Impact of Manufacturing Response Time on Retailer Inventory. International Journal of Production and Operations Management, 19(8), 797–811. [CrossRef] [Google Scholar]
- de Carvalho, P.R.V., Naoum-Sawaya, J., & Elhedhli, S. (2022). Blockchain- Enabled supply chains: An application in fresh-cut flowers. Applied Mathematical Modelling, 110, 841–858. https://doi.org/10.1016/j.apm.2022.06.011 [CrossRef] [Google Scholar]
- de Moraes, C.C., de Costa, F.H.O., da Silva, A.L., César, A.S., Delai, I., & Pereira, C.R. (2022). Causes and prevention practices of food waste in fruit and vegetable supply chains: How is Brazil dealing with these issues? Waste Management, 154(October), 320–330. https://doi.org/10.1016/j.wasman.2022.10.021 [CrossRef] [Google Scholar]
- de Vass, T., Shee, H., & Miah, S.J. (2021). Iot in supply chain management: a narrative on retail sector sustainability. International Journal of Logistics Research and Applications, 24(6), 605–624. https://doi.org/10.1080/13675567.2020.1787970 [CrossRef] [Google Scholar]
- Dolat-Abadi, H.M. (2021). Optimizing decisions of fresh-product members in daily and bourse markets considering the quantity and quality deterioration: A waste-reduction approach. Journal of Cleaner Production, 283, 124647. https://doi.org/10.1016/j.jclepro.2020.124647 [CrossRef] [Google Scholar]
- Fukase, E., & Martin, W. (2020). Economic growth, convergence, and world food demand and supply. World Development, 132, 104954. https://doi.org/10.1016/j.worlddev. 2020.104954 [CrossRef] [Google Scholar]
- Gautam, P., Maheshwari, S., & Jaggi, C.K. (2022). Sustainable production inventory model with greening degree and dual determinants of defective items. Journal of Cleaner Production, 367(June), 132879. https://doi.org/10.1016/j.jclepro.2022.132879 [CrossRef] [Google Scholar]
- Ghani, L.A., Mahmood, N.Z., Ismail, R., Sa’at, S.A., Ali, N., & Mohd Zakuan, S.A. (2022). Scenario modelling of proxy system in the context of Malaysian food flow management. Heliyon, 8(12), e12309. https://doi.org/10.1016/j.heliyon.2022.e12309 [CrossRef] [PubMed] [Google Scholar]
- Giger, M., Mutea, E., Kiteme, B., Eckert, S., Anseeuw, W., & Zaehringer, J.G. (2020). Large agricultural investments in Kenya’s Nanyuki Area: Inventory and analysis of business models. Land Use Policy, 99(October 2019), 104833. https://doi.org/10.1016/j.landusepol.2020.104833 [CrossRef] [Google Scholar]
- Gioia, D.G., Felizardo, L.K., & Brandimarte, P. (2023). Simulation-based inventory management of perishable products via linear discrete choice models. Computers and Operations Research, 157(August 2022), 106270. https://doi.org/10.1016/j.cor.2023.106270 [CrossRef] [Google Scholar]
- Gokarn, S., & Choudhary, A. (2021). Modelling the key factors influencing the reduction of food loss and waste in fresh produce supply chains. Journal of Environmental Management, 294(December 2020), 113063. https://doi.org/10.1016/j.jenvman.2021.113063 [CrossRef] [PubMed] [Google Scholar]
- Gong, M., Lian, Z., & Xiao, H. (2022). Inventory control policy for perishable products under a buyback contract and Brownian demands. International Journal of Production Economics, 251(October 2020), 108522. https://doi.org/10.1016/j.ijpe.2022.108522 [CrossRef] [Google Scholar]
- Görçün, Ö.F., Aytekin, A., & Korucuk, S. (2023). Fresh food supplier selection for global retail chains via bipolar neutrosophic methodology. Journal of Cleaner Production, 419(July). https://doi.org/10.1016/j.jclepro.2023.138156 [Google Scholar]
- Guan, Z., Mou, Y., & Zhang, J. (2023). Incorporating risk aversion and time preference into omnichannel retail operations considering assortment and inventory optimization. European Journal of Operational Research, xxxx. https://doi.org/10.1016/j.ejor.2023.09.034 [Google Scholar]
- Guritno, A.D., Fujianti, R., & Kusumasari, D. (2015). Assessment of the Supply Chain Factors and Classification of Inventory Management in Suppliers’ Level of Fresh Vegetables. Agriculture and Agricultural Science Procedia, 3, 51–55. https://doi.org/10.1016/j.aaspro.2015.01.012 [CrossRef] [Google Scholar]
- Guritno, A.D., Suwondo, E., and H. Yuliando (2013). The inventory management approaches using inventory balance and decision of inventory across supply chain of fresh vegetables. Proceeding of the International Conference on Operation Research, O.R. 2013,. [Google Scholar]
- Haijema, R. (2014). Optimal ordering, issuance and disposal policies for inventory management of perishable products. International Journal of Production Economics, 157(1), 158–169. https://doi.org/10.1016/j.ijpe.2014.06.014 [CrossRef] [Google Scholar]
- Han, J., Lin, N., Ruan, J., Wang, X., Wei, W., & Lu, H. (2021). A Model for Joint Planning of Production and Distribution of Fresh Produce in Agricultural Internet of Things. IEEE Internet of Things Journal, 8(12), 9683–9696. https://doi.org/10.1109/JIOT.2020.3037729 [CrossRef] [Google Scholar]
- Herbon, A. (2017). A non-cooperative game model for managing a multipleaged expiring inventory under consumers’ heterogeneity to price and time. Applied Mathematical Modelling, 51, 38–57. https://doi.org/10.1016/j.apm.2017.06.006 [CrossRef] [Google Scholar]
- Herbon, A. (2021). Managing an expiring product under a market that is heterogeneous in the sensitivity to the retailer’s reputation. International Journal of Production Economics, 232(September 2020), 107990. https://doi.org/10.1016/j.ijpe.2020.107990 [CrossRef] [Google Scholar]
- Herbon, A., Levner, E., & Cheng, T.C.E. (2014). Perishable inventory management with dynamic pricing using time-temperature indicators linked to automatic detecting devices. International Journal of Production Economics, 147(PART C), 605–613. https://doi.org/10.1016/j.ijpe.2013.07.021 [CrossRef] [Google Scholar]
- Hou, X., Haijema, R., & Liu, D. (2017). Display, disposal, and order policies for fresh produce with a back storage at a wholesale market. Computers and Industrial Engineering, 111, 18–28. https://doi.org/10.1016/j.cie.2017.06.038 [CrossRef] [Google Scholar]
- Huang, I.Y., Manning, L., James, K.L., Grigoriadis, V., Millington, A., Wood, V., & Ward, S. (2021). Food waste management: A review of retailers’ business practices and their implications for sustainable value. Journal of Cleaner Production, 285, 125484. https://doi.org/10.1016/j.jclepro.2020.125484 [CrossRef] [Google Scholar]
- Innocent, A. Jereme, Chamhuri Siwar, Rawshan Ara Begum, B.A.T. (2016). Addressing the problems of food waste generation in Malaysia. International Journal of ADVANCED AND APPLIED SCIENCES, 3(8), 68–77. https://doi.org/10.21833/ijaas.2016.08.012 [Google Scholar]
- Karumanchi, M.D., Sheeba, J.I., & Pradeep Devaneyan, S. (2022). Integrated Internet of Things with cloud developed for data integrity problems on supply chain management. Measurement: Sensors, 24(September), 100445. https://doi.org/10.1016/j.measen.2022.100445 [CrossRef] [Google Scholar]
- Kaur, A., Singh, G., Kukreja, V., Sharma, S., Singh, S., & Yoon, B. (2022). Adaptation of IoT with Blockchain in Food Supply Chain Management: An Analysis-Based Review in Development, Benefits and Potential Applications. Sensors, 22(21). https://doi.org/10.3390/s22218174 [Google Scholar]
- Khalilpourazari, S., Pasandideh, S.H.R. (2019). Modelling and optimization of multi-item multi-constrained EOQ model for growing items. Knowl. Base Syst., 164, 150–162. [CrossRef] [Google Scholar]
- Kiloes, A.M., Muflikh, Y.N., Joyce, D., & Abdul Aziz, A. (2023). Understanding the complexity of the Indonesian fresh mango industry in delivering quality to markets: A systems thinking approach. Food Policy, 118(June), 102497. https://doi.org/10.1016/j.foodpol.2023.102497 [CrossRef] [Google Scholar]
- Kuligowski, K., Konkol, I., Świerczek, L., Chojnacka, K., Cenian, A., & Szufa, S. (2023). Evaluation of Kitchen Waste Recycling as Organic N-Fertiliser for Sustainable Agriculture under Cool and Warm Seasons. Sustainability (Switzerland), 15(10). https://doi.org/10.3390/su15107997 [Google Scholar]
- Kumar, A., & Agrawal, S. (2023a). Challenges and opportunities for agri-fresh food supply chain management in India. Computers and Electronics in Agriculture, 212(December 2022), 108161. https://doi.org/10.1016/j.compag.2023.108161 [CrossRef] [Google Scholar]
- Kumar, A., & Agrawal, S. (2023b). Challenges and opportunities for agri-fresh food supply chain management in India. Computers and Electronics in Agriculture, 212(August), 108161. https://doi.org/10.1016/j.compag.2023.108161 [CrossRef] [Google Scholar]
- Kumar Kasera, R., Gour, S., & Acharjee, T. (2024). A comprehensive survey on IoT and AI based applications in different pre-harvest, during-harvest and post-harvest activities of smart agriculture. Computers and Electronics in Agriculture, 216(October 2023), 108522. https://doi.org/10.1016/j.compag.2023.108522 [CrossRef] [Google Scholar]
- Lee, Y.M., Mu, S., Shen, Z., & Dessouky, M. (2014). Issuing for perishable inventory management with a minimum inventory volume constraint. Computers and Industrial Engineering, 76, 280–291. https://doi.org/10.1016/j.cie.2014.08.007 [CrossRef] [Google Scholar]
- Liu, L., Zhao, L., & Ren, X. (2019). Optimal preservation technology investment and pricing policy for fresh food. Computers and Industrial Engineering, 135(February 2018), 746–756. https://doi.org/10.1016/j.cie.2019.06.041 [CrossRef] [Google Scholar]
- Manavalan, E., & Jayakrishna, K. (2019). A review of Internet of Things (IoT) embedded sustainable supply chain for industry 4.0 requirements. Computers and Industrial Engineering, 127(November 2017), 925–953. https://doi.org/10.1016/j.cie.2018.11.030 [CrossRef] [Google Scholar]
- Mantravadi, S., & Srai, J.S. (2022). How Important are Digital Technologies for Urban Food Security? A Framework for Supply Chain Integration using IoT. Procedia Computer Science, 217(2022), 1678–1687. https://doi.org/10.1016/j.procs.2022.12.368 [Google Scholar]
- Martínez-falc, J., & Eduardo, S. (2024). Environmental Technology & Innovation Revolutionizing the circular economy through new technologies : A new era of sustainable progress. 33(December 2023). https://doi.org/10.1016/j.eti.2023.103509 [Google Scholar]
- Mat Lazim, R., Mat Nawi, N., Masroon, M.H., Abdullah, N., & Che Mohammad Iskandar, M. (2020). Adoption of IR4.0 into Agricultural Sector in Malaysia: Potential and Challenges. Advances in Agricultural and Food Research Journal, 1(2), 1–14. https://doi.org/10.36877/aafrj.a0000140 [CrossRef] [Google Scholar]
- Molotoks, A., Smith, P., & Dawson, T.P. (2021). Impacts of land use, population, and climate change on global food security. Food and Energy Security, 10(1), 1–20. https://doi.org/10.1002/fes3.261 [CrossRef] [Google Scholar]
- Moran, A.J., Headrick, G., Perez, C., Greatsinger, A., Taillie, L.S., Zatz, L., Bleich, S.N., Rimm, E.B., & Khandpur, N. (2022). Food Marketing Practices of Major Online Grocery Retailers in the United States, 2019-2020. Journal of the Academy of Nutrition and Dietetics, 122(12), 2295–2310.e2. https://doi.org/10.1016/j.jand.2022.04.003 [CrossRef] [PubMed] [Google Scholar]
- Mou, Y., Guan, Z., & Zhang, J. (2024). Integrated optimization of assortment, inventory and pricing considering omnichannel retailer’s risk aversion and customer’s time preference. Expert Systems with Applications, 237(PA), 121479. https://doi.org/10.1016/j.eswa.2023.121479 [CrossRef] [Google Scholar]
- Nagarajan, S.M., Deverajan, G.G., Chatterjee, P., Alnumay, W., & Muthukumaran, V. (2022). Integration of IoT based routing process for food supply chain management in sustainable smart cities. Sustainable Cities and Society, 76(October 2021), 103448. https://doi.org/10.1016/j.scs.2021.103448 [CrossRef] [Google Scholar]
- Onwude, D., Motmans, T., Shoji, K., Evangelista, R., Gajardo, J., Odion, D., Ikegwuonu, N., Adekanmbi, O., Hourri, S., & Defraeye, T. (2023). Bottlenecks in Nigeria’s fresh food supply chain: What is the way forward? Trends in Food Science and Technology, 137(May), 55–62. https://doi.org/10.1016/j.tifs.2023.04.022 [CrossRef] [Google Scholar]
- Paam, P., Berretta, R., Heydar, M., & García-Flores, R. (2019). The impact of inventory management on economic and environmental sustainability in the apple industry. Computers and Electronics in Agriculture, 163(May), 104848. https://doi.org/10.1016/j.compag.2019.06.003 [CrossRef] [Google Scholar]
- Pal, K., & Yasar, A.U.H. (2023). Internet of Things Impact on Supply Chain Management. Procedia Computer Science, 220, 478–485. https://doi.org/10.1016/j.procs.2023.03.061 [CrossRef] [Google Scholar]
- Pourmohammad-Zia, N., Karimi, B., & Rezaei, J. (2021). Food supply chain coordination for growing items: A trade-off between market coverage and costefficiency. International Journal of Production Economics, 242, 108289. https://doi.org/10.1016/j.ijpe.2021.108289 [CrossRef] [Google Scholar]
- Qin, Y., Wang, J., & Wei, C. (2014). Joint pricing and inventory control for fresh produce and foods with quality and physical quantity deteriorating simultaneously. International Journal of Production Economics, 152, 42–48. https://doi.org/10.1016/j.ijpe.2014.01.005 [CrossRef] [Google Scholar]
- Ramírez, C., Rojas, A.E., & García, A. (2022). A Cold Chain Logistics with IoT and Blockchain Scalable Project for SMEs: First Phase. IFACPapersOnLine, 55(10), 2336–2341. https://doi.org/10.1016/j.ifacol.2022.10.057 [Google Scholar]
- Saurabh, S., & Dey, K. (2021). Blockchain technology adoption, architecture, and sustainable agri-food supply chains. Journal of Cleaner Production, 284, 124731. https://doi.org/10.1016/j.jclepro.2020.124731 [CrossRef] [Google Scholar]
- Senturk, S., Senturk, F., & Karaca, H. (2023). Industry 4.0 technologies in agrifood sector and their integration in the global value chain: A review. Journal of Cleaner Production, 408(April), 137096. https://doi.org/10.1016/j.jclepro.2023.137096 [CrossRef] [Google Scholar]
- Sepehri, A. (2021). Controllable carbon emissions in an inventory model for perishable items under trade credit policy for credit-risk customers. Carbon Capture Science and Technology, 1(September), 100004. https://doi.org/10.1016/j.ccst.2021.100004 [CrossRef] [Google Scholar]
- Sepehri, A., Mishra, U., & Sarkar, B. (2021). A sustainable productioninventory model with imperfect quality under preservation technology and quality improvement investment. Journal of Cleaner Production, 310(January), 127332. https://doi.org/10.1016/j.jclepro.2021.127332 [CrossRef] [Google Scholar]
- Shafiee, F., Kazemi, A., Jafarnejad Chaghooshi, A., Sazvar, Z., & Amoozad Mahdiraji, H. (2021). A robust multi-objective optimization model for inventory and production management with environmental and social consideration: A real case of dairy industry. Journal of Cleaner Production, 294. https://doi.org/10.1016/j.jclepro.2021.126230 [CrossRef] [Google Scholar]
- Sharma, P., Bano, A., Verma, K., Yadav, M., Varjani, S., Singh, S.P., & Tong, Y.W. (2023). Food waste digestate as biofertilizer and their direct applications in agriculture. Bioresource Technology Reports, 23(January), 101515. https://doi.org/10.1016/j.biteb.2023.101515 [CrossRef] [Google Scholar]
- Shreya, S., Chatterjee, K., & Singh, A. (2023). BFSF: A secure IoT based framework for smart farming using blockchain. Sustainable Computing: Informatics and Systems, 40(August), 100917. https://doi.org/10.1016/j.suscom.2023.100917 [CrossRef] [Google Scholar]
- Singh, R., Singh, R., Gehlot, A., Akram, S.V., Priyadarshi, N., & Twala, B. (2022). Horticulture 4.0: Adoption of Industry 4.0 Technologies in Horticulture for Meeting Sustainable Farming. Applied Sciences (Switzerland), 12(24), 0–19. https://doi.org/10.3390/app122412557 [Google Scholar]
- Taheri, M., Sadegh Amalnick, M., Allah Taleizadeh, A., & Mardan, E. (2023). A fuzzy programming model for optimizing the inventory management problem considering financial issues: A case study of the dairy industry. Expert Systems with Applications, 221(October 2022), 119766. https://doi.org/10.1016/j.eswa.2023.119766 [CrossRef] [Google Scholar]
- UNEP. (2021). Food Waste Index Report 2021. In Unep Food Waste Index Report 2021. [Google Scholar]
- Vahdani, M., & Sazvar, Z. (2022). Coordinated inventory control and pricing policies for online retailers with perishable products in the presence of social learning. Computers and Industrial Engineering, 168(September 2021), 108093. https://doi.org/10.1016/j.cie.2022.108093 [CrossRef] [Google Scholar]
- Wallin, C., Rungtusanatham, M.J.E.R. (2006). What is the “Right” Inventory Management Approach for A Purchased Item? International Journal of Operations & Production Management, 26(1), 50–68. [CrossRef] [Google Scholar]
- Woo, Y. Bin, Moon, I., & Kim, B.S. (2021). Production-Inventory control model for a supply chain network with economic production rates under no shortages allowed. Computers and Industrial Engineering, 160(October 2020), 107558. https://doi.org/10.1016/j.cie.2021.107558 [CrossRef] [Google Scholar]
- Xu, J., Lyu, G., Bai, Q., & Luo, Q. (2023). Robust pricing and inventory strategies for an omnichannel retailer under carbon tax and cap-and-offset regulations. Computers & Industrial Engineering, 185(September), 109615. https://doi.org/10.1016/j.cie.2023.109615 [CrossRef] [Google Scholar]
- Yavari, M., Enjavi, H., & Geraeli, M. (2020). Demand management to cope with routes disruptions in location-inventory-routing problem for perishable products. Research in Transportation Business and Management, 37(August), 100552. https://doi.org/10.1016/j.rtbm.2020.100552 [CrossRef] [Google Scholar]
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