How to cite this paper
Bagum, M., Paul, P., Rashed, C., Kibria, M & Chowdhury, R. (2026). Optimizing inventory management in food processing: A conceptual model linking supply chain costs and complexity to sales, quality, and customer satisfaction.Uncertain Supply Chain Management, 14(1), 55-66.
Refrences
Abaku, E. A., Edunjobi, T. E., & Odimarha, A. C. (2024). Theoretical approaches to AI in supply chain optimization: Pathways to efficiency and resilience. International Journal of Science and Technology Research Archive, 6(1), 092–107. https://doi.org/10.53771/ijstra.2024.6.1.0033
Ahmad, K., & Zabri, S. (2016). Inventory management practices among Malaysian micro retailing enterprises. Journal of Business and Retail Management Research, 11(1), 103–115. https://doi.org/10.24052/JBRMR/247
Ahmadini, A. A. H., Modibbo, U. M., Shaikh, A. A., & Ali, I. (2021). Multi-objective optimization modelling of sustainable green supply chain in inventory and production management. Alexandria Engineering Journal, 60(6), 5129–5146. https://doi.org/10.1016/j.aej.2021.03.075
Aqlan, F., & Lam, S. S. (2016). Supply chain optimization under risk and uncertainty: A case study for high-end server manufacturing. Computers and Industrial Engineering, 93, 78–87. https://doi.org/10.1016/j.cie.2015.12.025
Atnafu, D., & Balda, A. (2018). The impact of inventory management practice on firms' competitiveness and organizational performance: Empirical evidence from micro and small enterprises in Ethiopia. Cogent Business and Management, 5(1), 1–16. https://doi.org/10.1080/23311975.2018.1503219
Avkiran, N. K., & Ringle, C. M. (Eds.). (2018). Partial least squares structural equation modeling: Recent advances in banking and finance (Vol. 239). Berlin/Heidelberg, Germany: Springer International Publishing.
Bozarth, C. C., Warsing, D. P., Flynn, B. B., & Flynn, E. J. (2009). The impact of supply chain complexity on manufacturing plant performance. Journal of Operations Management, 27(1), 78–93. https://doi.org/10.1016/j.jom.2008.07.003
Castro, J. A. O., & Jaimes, W. A. (2017). Dynamic impact of the structure of the supply chain of perishable foods on logistics performance and food security. Journal of Industrial Engineering and Management, 10(4 Special Issue), 687–710. https://doi.org/10.3926/jiem.2147
Charles, N., & Jackson, N. (2021). Influence of electronic point of sale on inventory optimization in major supermarkets in Nairobi City County, Kenya. Journal of Procurement and Management, 5(2), 633–653.
Chen, Z. (2018). Optimization of production inventory with pricing and promotion effort for a single-vendor multi-buyer system of perishable products. International Journal of Production Economics, 203, 333–349. https://doi.org/10.1016/j.ijpe.2018.06.002
Chinello, E., Lee Herbert-Hansen, Z. N., & Khalid, W. (2020). Assessment of the impact of inventory optimization drivers in a multi-echelon supply chain: Case of a toy manufacturer. Computers and Industrial Engineering, 141. https://doi.org/10.1016/j.cie.2019.106232
Dai, H., & Tseng, M. M. (2012). The impacts of RFID implementation on reducing inventory inaccuracy in a multi-stage supply chain. International Journal of Production Economics, 139(2), 634–641. https://doi.org/10.1016/j.ijpe.2012.06.005
Daniel, J. S. R., & Rajendran, C. (2005). A simulation-based genetic algorithm for inventory optimization in a serial supply chain. International Transactions in Operational Research, 12(1), 101–127. https://doi.org/10.1111/j.1475-3995.2005.00492.x
Diabat, A., & Al-Salem, M. (2015). An integrated supply chain problem with environmental considerations. International Journal of Production Economics, 164, 330–338. https://doi.org/10.1016/j.ijpe.2014.12.004
Duan, Q., & Liao, T. W. (2013). A new age-based replenishment policy for supply chain inventory optimization of highly perishable products. International Journal of Production Economics, 145(2), 658–671. https://doi.org/10.1016/j.ijpe.2013.05.020
Eckstein, D., Goellner, M., Blome, C., & Henke, M. (2014). The performance impact of supply chain agility and supply chain adaptability: The moderating effect of product complexity. International Journal of Production Research, 53(10), 3028–3046. https://doi.org/10.1080/00207543.2014.970707
Ferguson, M., & Ketzenberg, M. E. (2006). Information Sharing to Improve Retail Product Freshness of Perishables. Production and Operations Management, 15(1), 57–73. https://doi.org/10.1111/j.1937-5956.2006.tb00003.x
Fornell, C., & Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19(4), 440-452. https://doi.org/10.1177/002224378201900406
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104
Garcia, D. J., & You, F. (2015). Supply chain design and optimization: Challenges and opportunities. Computers and Chemical Engineering, 81, 153–170. https://doi.org/10.1016/j.compchemeng.2015.03.015
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152. https://doi.org/10.2753/MTP1069-6679190202
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. http://dx.doi.org/10.1108/EBR-11-2018-0203
Hartwig, R., Inderfurth, K., Sadrieh, A., & Voigt, G. (2015). Strategic Inventory and Supply Chain Behavior. Production and Operations Management, 24(8), 1329–1345. https://doi.org/10.1111/poms.12325
Iftikhar, A., Purvis, L., Giannoccaro, I., & Wang, Y. (2023). The impact of supply chain complexities on supply chain resilience: the mediating effect of big data analytics. Production Planning & Control, 34(16), 1562–1582. https://doi.org/10.1080/09537287.2022.2032450
Ivanov, D., Dolgui, A., Das, A., & Sokolov, B. (2019). Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility. In International Series in Operations Research and Management Science (Vol. 276, pp. 309–332). Springer New York LLC. https://doi.org/10.1007/978-3-030-14302-2_15
Jemai, J., Chung, B. Do, & Sarkar, B. (2020). Environmental effect for a complex green supply-chain management to control waste: A sustainable approach. Journal of Cleaner Production, 277. https://doi.org/10.1016/j.jclepro.2020.122919
Kler, R., Gangurde, R., Elmirzaev, S., Hossain, M. S., Vo, N. V. T., Nguyen, T. V. T., & Kumar, P. N. (2022). Optimization of Meat and Poultry Farm Inventory Stock Using Data Analytics for Green Supply Chain Network. Discrete Dynamics in Nature and Society, 2022. https://doi.org/10.1155/2022/8970549
Martin, M., & Iravo, Dr. A. (2014). Effect of inventory control management on mumias sugar retailers satisfaction level: A survey of mumias sugar retailers in Kiambu County, Kenya. International Journal of Academic Research in Business and Social Sciences, 4(12), 83–100. https://doi.org/10.6007/ijarbss/v4-i12/1330
Martynova, E., West, S. G., & Liu, Y. (2018). Review of principles and practice of structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 25(2), 325-329. https://doi.org/10.1080/10705511.2017.1401932
Monecke, A., & Leisch, F. (2012). semPLS: structural equation modeling using partial least squares. Journal of statistical software, 48, 1-32. https://doi.org/10.18637/jss.v048.i03
Motla, R., Kumar, A., Saxena, N., & Sana, S. S. (2023). Inventory optimization in a green environment with two warehouses. Innovation and Green Development, 2(4). https://doi.org/10.1016/j.igd.2023.100087
Panigrahi, A. (2013). Relationship between inventory management and profitability: An empirical analysis of Indian cement companies. Asia Pacific Journal of Marketing & Management Review, 2(7).
Pett, M. A., Lackey, N. R., & Sullivan, J. J. (2003). Making sense of factor analysis: The use of factor analysis for instrument development in health care research. Sage.
Rashed, C. A. A., Bagum, M. N., Kibria, M. M. H., Chowdhury, R. A., & Islam, M. A. (2024). Integrating Supply Chain Partners through Implementing Industry 4.0 Technologies to Enhance Competitiveness. Jordan Journal of Mechanical and Industrial Engineering, 18(2), 351–363. https://doi.org/10.59038/jjmie/180208
Sadeghi, J., Sadeghi, S., & Niaki, S. T. A. (2014a). A hybrid vendor managed inventory and redundancy allocation optimization problem in supply chain management: An NSGA-II with tuned parameters. Computers and Operations Research, 41(1), 53–64. https://doi.org/10.1016/j.cor.2013.07.024
Sadeghi, J., Sadeghi, S., & Niaki, S. T. A. (2014b). Optimizing a hybrid vendor-managed inventory and transportation problem with fuzzy demand: An improved particle swarm optimization algorithm. Information Sciences, 272, 126–144. https://doi.org/10.1016/j.ins.2014.02.075
Saputro, T. E., Figueira, G., & Almada-Lobo, B. (2021). Integrating supplier selection with inventory management under supply disruptions. International Journal of Production Research, 59(11), 3304–3322. https://doi.org/10.1080/00207543.2020.1866223
Serdarasan, S. (2013). A review of supply chain complexity drivers. Computers and Industrial Engineering, 66(3), 533–540. https://doi.org/10.1016/j.cie.2012.12.008
Simchi-Levi, D., Wang, H., & Wei, Y. (2018). Increasing Supply Chain Robustness through Process Flexibility and Inventory. Production and Operations Management, 27(8), 1476–1491. https://doi.org/10.1111/poms.12887
Takim, S. A. (2014). Optimization of Effective Inventory Control and Management in Manufacturing Industries: Case Study of Flour Mills Company Calabar, Nigeria. Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS), 5(4), 265–276.
Tripathi, P., & Tiwari, D. (2014). A study of inventory management techniques applied by organized retailers' and its effect on customer satisfaction and retailer's financial performance with special reference to Bhopal and Indore City. International Journal of Innovation and Applied Studies, 8(2), 788–799. http://www.ijias.issr-journals.org/
Uthayakumar, R., & Priyan, S. (2013). Pharmaceutical supply chain and inventory management strategies: Optimization for a pharmaceutical company and a hospital. Operations Research for Health Care, 2(3), 52–64. https://doi.org/10.1016/j.orhc.2013.08.001
Van Horenbeek, A., Buré, J., Cattrysse, D., Pintelon, L., & Vansteenwegen, P. (2013). Joint maintenance and inventory optimization systems: A review. International Journal of Production Economics, 143(2), 499–508. https://doi.org/10.1016/j.ijpe.2012.04.001
Wang, K. J., Lin, Y. S., & Yu, J. C. P. (2011). Optimizing inventory policy for products with time-sensitive deteriorating rates in a multi-echelon supply chain. International Journal of Production Economics, 130(1), 66–76. https://doi.org/10.1016/j.ijpe.2010.11.009
Wei, J., Liu, Y., Zhao, X., & Yang, X. (2020). Joint optimization of pricing and inventory strategy for perishable product with the quality and quantity loss. Journal of Industrial and Production Engineering, 37(1), 23–32. https://doi.org/10.1080/21681015.2020.1719222
Wu, S. D., & Golbasi, H. (2004). Multi-Item, Multi-Facility Supply Chain Planning: Models, Complexities, and Algorithms *. Computational Optimization and Applications, 28, 325–356. https://doi.org/10.1023/B:COAP.0000033967.18695.9d
Zheng, X., Yin, M., & Zhang, Y. (2019). Integrated optimization of location, inventory and routing in supply chain network design. Transportation Research Part B: Methodological, 121, 1–20. https://doi.org/10.1016/j.trb.2019.01.003
Ahmad, K., & Zabri, S. (2016). Inventory management practices among Malaysian micro retailing enterprises. Journal of Business and Retail Management Research, 11(1), 103–115. https://doi.org/10.24052/JBRMR/247
Ahmadini, A. A. H., Modibbo, U. M., Shaikh, A. A., & Ali, I. (2021). Multi-objective optimization modelling of sustainable green supply chain in inventory and production management. Alexandria Engineering Journal, 60(6), 5129–5146. https://doi.org/10.1016/j.aej.2021.03.075
Aqlan, F., & Lam, S. S. (2016). Supply chain optimization under risk and uncertainty: A case study for high-end server manufacturing. Computers and Industrial Engineering, 93, 78–87. https://doi.org/10.1016/j.cie.2015.12.025
Atnafu, D., & Balda, A. (2018). The impact of inventory management practice on firms' competitiveness and organizational performance: Empirical evidence from micro and small enterprises in Ethiopia. Cogent Business and Management, 5(1), 1–16. https://doi.org/10.1080/23311975.2018.1503219
Avkiran, N. K., & Ringle, C. M. (Eds.). (2018). Partial least squares structural equation modeling: Recent advances in banking and finance (Vol. 239). Berlin/Heidelberg, Germany: Springer International Publishing.
Bozarth, C. C., Warsing, D. P., Flynn, B. B., & Flynn, E. J. (2009). The impact of supply chain complexity on manufacturing plant performance. Journal of Operations Management, 27(1), 78–93. https://doi.org/10.1016/j.jom.2008.07.003
Castro, J. A. O., & Jaimes, W. A. (2017). Dynamic impact of the structure of the supply chain of perishable foods on logistics performance and food security. Journal of Industrial Engineering and Management, 10(4 Special Issue), 687–710. https://doi.org/10.3926/jiem.2147
Charles, N., & Jackson, N. (2021). Influence of electronic point of sale on inventory optimization in major supermarkets in Nairobi City County, Kenya. Journal of Procurement and Management, 5(2), 633–653.
Chen, Z. (2018). Optimization of production inventory with pricing and promotion effort for a single-vendor multi-buyer system of perishable products. International Journal of Production Economics, 203, 333–349. https://doi.org/10.1016/j.ijpe.2018.06.002
Chinello, E., Lee Herbert-Hansen, Z. N., & Khalid, W. (2020). Assessment of the impact of inventory optimization drivers in a multi-echelon supply chain: Case of a toy manufacturer. Computers and Industrial Engineering, 141. https://doi.org/10.1016/j.cie.2019.106232
Dai, H., & Tseng, M. M. (2012). The impacts of RFID implementation on reducing inventory inaccuracy in a multi-stage supply chain. International Journal of Production Economics, 139(2), 634–641. https://doi.org/10.1016/j.ijpe.2012.06.005
Daniel, J. S. R., & Rajendran, C. (2005). A simulation-based genetic algorithm for inventory optimization in a serial supply chain. International Transactions in Operational Research, 12(1), 101–127. https://doi.org/10.1111/j.1475-3995.2005.00492.x
Diabat, A., & Al-Salem, M. (2015). An integrated supply chain problem with environmental considerations. International Journal of Production Economics, 164, 330–338. https://doi.org/10.1016/j.ijpe.2014.12.004
Duan, Q., & Liao, T. W. (2013). A new age-based replenishment policy for supply chain inventory optimization of highly perishable products. International Journal of Production Economics, 145(2), 658–671. https://doi.org/10.1016/j.ijpe.2013.05.020
Eckstein, D., Goellner, M., Blome, C., & Henke, M. (2014). The performance impact of supply chain agility and supply chain adaptability: The moderating effect of product complexity. International Journal of Production Research, 53(10), 3028–3046. https://doi.org/10.1080/00207543.2014.970707
Ferguson, M., & Ketzenberg, M. E. (2006). Information Sharing to Improve Retail Product Freshness of Perishables. Production and Operations Management, 15(1), 57–73. https://doi.org/10.1111/j.1937-5956.2006.tb00003.x
Fornell, C., & Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19(4), 440-452. https://doi.org/10.1177/002224378201900406
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104
Garcia, D. J., & You, F. (2015). Supply chain design and optimization: Challenges and opportunities. Computers and Chemical Engineering, 81, 153–170. https://doi.org/10.1016/j.compchemeng.2015.03.015
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152. https://doi.org/10.2753/MTP1069-6679190202
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. http://dx.doi.org/10.1108/EBR-11-2018-0203
Hartwig, R., Inderfurth, K., Sadrieh, A., & Voigt, G. (2015). Strategic Inventory and Supply Chain Behavior. Production and Operations Management, 24(8), 1329–1345. https://doi.org/10.1111/poms.12325
Iftikhar, A., Purvis, L., Giannoccaro, I., & Wang, Y. (2023). The impact of supply chain complexities on supply chain resilience: the mediating effect of big data analytics. Production Planning & Control, 34(16), 1562–1582. https://doi.org/10.1080/09537287.2022.2032450
Ivanov, D., Dolgui, A., Das, A., & Sokolov, B. (2019). Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility. In International Series in Operations Research and Management Science (Vol. 276, pp. 309–332). Springer New York LLC. https://doi.org/10.1007/978-3-030-14302-2_15
Jemai, J., Chung, B. Do, & Sarkar, B. (2020). Environmental effect for a complex green supply-chain management to control waste: A sustainable approach. Journal of Cleaner Production, 277. https://doi.org/10.1016/j.jclepro.2020.122919
Kler, R., Gangurde, R., Elmirzaev, S., Hossain, M. S., Vo, N. V. T., Nguyen, T. V. T., & Kumar, P. N. (2022). Optimization of Meat and Poultry Farm Inventory Stock Using Data Analytics for Green Supply Chain Network. Discrete Dynamics in Nature and Society, 2022. https://doi.org/10.1155/2022/8970549
Martin, M., & Iravo, Dr. A. (2014). Effect of inventory control management on mumias sugar retailers satisfaction level: A survey of mumias sugar retailers in Kiambu County, Kenya. International Journal of Academic Research in Business and Social Sciences, 4(12), 83–100. https://doi.org/10.6007/ijarbss/v4-i12/1330
Martynova, E., West, S. G., & Liu, Y. (2018). Review of principles and practice of structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 25(2), 325-329. https://doi.org/10.1080/10705511.2017.1401932
Monecke, A., & Leisch, F. (2012). semPLS: structural equation modeling using partial least squares. Journal of statistical software, 48, 1-32. https://doi.org/10.18637/jss.v048.i03
Motla, R., Kumar, A., Saxena, N., & Sana, S. S. (2023). Inventory optimization in a green environment with two warehouses. Innovation and Green Development, 2(4). https://doi.org/10.1016/j.igd.2023.100087
Panigrahi, A. (2013). Relationship between inventory management and profitability: An empirical analysis of Indian cement companies. Asia Pacific Journal of Marketing & Management Review, 2(7).
Pett, M. A., Lackey, N. R., & Sullivan, J. J. (2003). Making sense of factor analysis: The use of factor analysis for instrument development in health care research. Sage.
Rashed, C. A. A., Bagum, M. N., Kibria, M. M. H., Chowdhury, R. A., & Islam, M. A. (2024). Integrating Supply Chain Partners through Implementing Industry 4.0 Technologies to Enhance Competitiveness. Jordan Journal of Mechanical and Industrial Engineering, 18(2), 351–363. https://doi.org/10.59038/jjmie/180208
Sadeghi, J., Sadeghi, S., & Niaki, S. T. A. (2014a). A hybrid vendor managed inventory and redundancy allocation optimization problem in supply chain management: An NSGA-II with tuned parameters. Computers and Operations Research, 41(1), 53–64. https://doi.org/10.1016/j.cor.2013.07.024
Sadeghi, J., Sadeghi, S., & Niaki, S. T. A. (2014b). Optimizing a hybrid vendor-managed inventory and transportation problem with fuzzy demand: An improved particle swarm optimization algorithm. Information Sciences, 272, 126–144. https://doi.org/10.1016/j.ins.2014.02.075
Saputro, T. E., Figueira, G., & Almada-Lobo, B. (2021). Integrating supplier selection with inventory management under supply disruptions. International Journal of Production Research, 59(11), 3304–3322. https://doi.org/10.1080/00207543.2020.1866223
Serdarasan, S. (2013). A review of supply chain complexity drivers. Computers and Industrial Engineering, 66(3), 533–540. https://doi.org/10.1016/j.cie.2012.12.008
Simchi-Levi, D., Wang, H., & Wei, Y. (2018). Increasing Supply Chain Robustness through Process Flexibility and Inventory. Production and Operations Management, 27(8), 1476–1491. https://doi.org/10.1111/poms.12887
Takim, S. A. (2014). Optimization of Effective Inventory Control and Management in Manufacturing Industries: Case Study of Flour Mills Company Calabar, Nigeria. Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS), 5(4), 265–276.
Tripathi, P., & Tiwari, D. (2014). A study of inventory management techniques applied by organized retailers' and its effect on customer satisfaction and retailer's financial performance with special reference to Bhopal and Indore City. International Journal of Innovation and Applied Studies, 8(2), 788–799. http://www.ijias.issr-journals.org/
Uthayakumar, R., & Priyan, S. (2013). Pharmaceutical supply chain and inventory management strategies: Optimization for a pharmaceutical company and a hospital. Operations Research for Health Care, 2(3), 52–64. https://doi.org/10.1016/j.orhc.2013.08.001
Van Horenbeek, A., Buré, J., Cattrysse, D., Pintelon, L., & Vansteenwegen, P. (2013). Joint maintenance and inventory optimization systems: A review. International Journal of Production Economics, 143(2), 499–508. https://doi.org/10.1016/j.ijpe.2012.04.001
Wang, K. J., Lin, Y. S., & Yu, J. C. P. (2011). Optimizing inventory policy for products with time-sensitive deteriorating rates in a multi-echelon supply chain. International Journal of Production Economics, 130(1), 66–76. https://doi.org/10.1016/j.ijpe.2010.11.009
Wei, J., Liu, Y., Zhao, X., & Yang, X. (2020). Joint optimization of pricing and inventory strategy for perishable product with the quality and quantity loss. Journal of Industrial and Production Engineering, 37(1), 23–32. https://doi.org/10.1080/21681015.2020.1719222
Wu, S. D., & Golbasi, H. (2004). Multi-Item, Multi-Facility Supply Chain Planning: Models, Complexities, and Algorithms *. Computational Optimization and Applications, 28, 325–356. https://doi.org/10.1023/B:COAP.0000033967.18695.9d
Zheng, X., Yin, M., & Zhang, Y. (2019). Integrated optimization of location, inventory and routing in supply chain network design. Transportation Research Part B: Methodological, 121, 1–20. https://doi.org/10.1016/j.trb.2019.01.003