References
- S.K. Paul, A. Azeem, A. Ghosh. “Application of adaptive neuro-fuzzy inference system and artificial neural network in inventory level forecasting,” International Journal of Business Information Systems, vol. 18, no. 3, p. 268, Jan. 2015, https://doi.org/10.1504/ijbis.2015.068164.
- S.A Shukaili, Z.J. Norhayah Zulkifli. “The Impact of Strategic Inventory Management on Logistics Organization’s Performance”, International Journal of Business and Technology Management, e-ISSN: 2682-7646, vol. 5, no. 3, pp. 288-298, 2023, https://doi.org/10.6007/IJARBSS/v5-i5/1595.
- S.K. Paul, A. Azeem. “An artificial neural network model for optimization of finished goods inventory,” International Journal of Industrial Engineering Computations, vol. 2, no. 2, pp. 431-438, Apr. 2011, https://doi.org/10.5267/j.ijiec.2011.01.005.
- J.B Munyaka, V.S.S. Yadavalli. “Inventory management concepts and implementations: a systematic review”, South African Journal of Industrial Engineering, vol. 33, no. 2, pp. 15-36, 2022, https://doi.org/10.7166/33-2-2527.
- M.J.P. Mariani, R.U. Wacas. “Efficacy, reliability, and accuracy of inventory System and Point-of-Sale Service for Small-Medium Enterprises in Tabuk City,” International Journal of English, Literature and Social Science, vol. 7, no. 6, pp. 306-311, Jan. 2022, https://doi.org/10.22161/ijels.76.43.
- M. Cardós, C. Miralles, L. Ros. “An exact calculation of the cycle service level in a generalized periodic review system,” Journal of the Operational Research Society, vol. 57, no. 10, pp. 1252-1255, Oct. 2006, https://doi.org/10.1057/palgrave.jors.2602121.
- E.A. Silver, H. Naseraldin, D.P. Bischak. “Determining the reorder point and order-up-to-level in a periodic review system so as to achieve a desired fill rate and a desired average time between replenishments,” Journal of the Operational Research Society, vol. 60, no. 9, pp. 1244-1253, Sep. 2009, https://doi.org/10.1057/pal-grave.jors.2602655.
- S. Moradizadeh, “Economic Order Quantity (EOQ) Measurement Using Intelligent Systems Techniques” MSc. Thesis, the Faculty of Graduate Studies and Research, Industrial Systems Engineering, University of Regina, 2019.
- A.K. Alsaadi, A.T. Almaktoom, K.K. Krishnan. “Reliability Evaluation and Design Optimization of Inventory Management System” Proceedings of the 2016 International Conference on Industrial Engineering and Operations Management, Detroit, Michigan, USA, September 23-25, 2016.
- E.G. Tarradellas, E. Babiloni, M.J. Canós-Darós, L.C. Darós, S.E. Miguel. “Fuzzy modeling approach to on-hand stock levels estimation in (R, S) inventory system with lost sales,” Journal of Industrial Engineering and Management, vol. 13, no. 3, p. 464, Sep. 2020, https://doi.org/10.3926/jiem.3071.
- J.-C.B. Munyaka, S.V. Yadavalli. “Inventory management concepts and implementations: A systematic review,” South African Journal of Industrial Engineering, vol. 32, no. 2, Jan. 2022, https://doi.org/10.7166/33-2-2527.
- Md. R.I. Slam, M. Monjur, T. Akon. “Supply Chain Management and Logistics: How important interconnection is for business success,” Open Journal of Business and Management, vol. 11, no. 05, pp. 2505-2524, Jan. 2023, https://doi.org/10.4236/ojbm.2023.115139.
- C. Fornell et al., “Customer satisfaction and stock prices: High returns, low risk,” Journal of Marketing, vol. 70, no. 1, pp. 3-14, Jan. 2006, https://doi.org/10.1509/jmkg.70.1.003.qxd.
- A.A. Ali, A.M. Kulaib. “Inventory Control Using Fuzzy Inference System and Adaptive Neuro Fuzzy Inference System under Uncertain Conditions”, Hadhramout University Journal of Natural & Applied Sciences: Vol. 17: Iss. 2. 2020, Available at: https://digitalcommons.aaru.edu.jo/huj_nas/vol17/iss2/3.
- R. Patriarca, G. Di Gravio, F. Costantino, M. Tronci. “EOQ inventory model for perishable products under uncertainty,” Production Engineering, vol. 14, no. 5-6, pp. 601-612, Oct. 2020, https://doi.org/10.1007/s11740-020-00986-5.
- A-G Stephe, G. Jaideep. “Contemporary Inventory Management Techniques: A Conceptual Investigation”, Conference: International Conference on Operations Management and Research: (ICOMAR 2016) – “Towards Operational Excellence”, Mysuru, India, January 21-22, 2016.
- J-T. Song, G-J. Houtum, J.A.V. Mieghem.” Capacity and Inventory Management: Review, Trends, and Projections”, Manufacturing & Service Operations Management, Vol. 22, No. 1, pp. 36-46, January-February 2020, http://orcid.org/0000-0003-4225-5434.
- M. Raue, S. Scholl, “The use of heuristics in decision making under risk and uncertainty,” in Springer eBooks, 2018, pp. 153-179, https://doi.org/10.1007/978-3-319-92478-6_7.
- R. Yousefpour, J.B. Jacobsen, B.J. Thorsen, H. Meilby, M. Hanewinkel, K. Oehler. “A review of decision-making approaches to handle uncertainty and risk in adaptive forest management under climate change,” Annals of Forest Science, vol. 69, no. 1, pp. 1-15, Dec. 2011, https://doi.org/10.1007/s13595-011-0153-4.
- S.M. Disney, A. Maltz, X. Wang, R.D.H. Warburton. “Inventory management for stochastic lead times with order crossovers,” European Journal of Operational Research, vol. 248, no. 2, pp. 473-486, Jan. 2016, https://doi.org/10.1016/j.ejor.2015.07.047.
- A.F. Alrasheedi, K.A. Alnowibet, I.T. Alotaibi. “Stochastic Review Inventory Systems with Deteriorating Items; A Steady-State Non-Linear Approach,” Processes, vol. 10, no. 4, p. 781, Apr. 2022, https://doi.org/10.3390/pr10040781.
- X. Ma, R. Rossi, T.W. Archibald. “Stochastic Inventory Control: A Literature review,” IFAC-Papers On-Line, vol. 52, no. 13, pp. 1490-1495, Jan. 2019, https://doi.org/10.1016/j.ifacol.2019.11.410.
- A. Díaz-Curbelo, R. E. Andrade, Á. M. G. Municio. “The Role of Fuzzy Logic to Dealing with Epistemic Uncertainty in Supply Chain Risk Assessment: Review Standpoints,” International Journal of Fuzzy Systems, vol. 22, no. 8, pp. 2769-2791, Jun. 2020, https://doi.org/10.1007/s40815-020-00846-5.
- F.Y. Partovi, M. Anandarajan. “Classifying inventory using an artificial neural network approach,” Computers & Industrial Engineering, vol. 41, no. 4, pp. 389-404, Feb. 2002, https://doi.org/10.1016/s0360-8352(01)00064-x.
- J.J. Spengler, “Vertical integration and antitrust policy,” Journal of Political Economy, vol. 58, no. 4, pp. 347-352, Aug. 1950, https://doi.org/10.1086/256964.
- W.S. Alaloul, A.H. Qureshi. “Data processing using artificial neural networks,” in Intech Open eBooks, 2020, https://doi.org/10.5772/intechopen.91935.
- A. Niknejad, D. Petrovíć. “Analysis of impact of uncertainty in global production networks’ parameters,” Computers & Industrial Engineering, vol. 111, pp. 228-238, Sep. 2017, https://doi.org/10.1016/j.cie.2017.07.011.
- S.A. Aufy, A.H. Kassam. “Recursive Heuristic Algorithm for Balancing Mixed–Model Assembly Line Type–II in Stochastic Environment”, 7th International Conference, LSCM 2020, Tehran, Iran, December 23-24, CCIS 1458, pp. 194-218, 2021, https://doi.org/10.1007/978-3-030-89743-7_11.
- S.A. Aufy, A.H. Kassam, G.A. Ismeal. “Examining Rebalancing Considers of the Mixed-Model Assembly Line Type-II for the Straight and U-shaped Layout Using the Taguchi Method,” Engineering and Technology Journal, Vol. 39, Part A, No. 02, pp. 280-294, 2021, DOI: https://doi.org/10.30684/etj.v39i2A.1740.
- K.M.J. Rashid, “Optimize the Taguchi method, the signal-to-noise ratio, and the sensitivity,” International Journal of Statistics and Applied Mathematics, vol. 8, no. 6, pp. 64-70, Nov. 2023, https://doi.org/10.22271/maths.2023.v8.i6a.1406.