Selected Journal Papers
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Selected Journal Papers |
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1. Hadadi, Z., Gholamian, M.R., & Noroozi, M. (2026). Coordination of dual-channel CLSC under applying the bundling strategy in direct channel and jointly advertising investment. Annals of Operations Research, Vol. 358, No. 1, pp. 103–140. (IF: 4.5) Q1 https://doi.org/10.1007/s10479-024-06062-w 2. Maleki Rastaghi, M., Barzinpour, F., Gholamian, M.R., & Heydari, J. (2026). Pre-position strategies based on a dual option contract in the multi supply source humanitarian supply chain. International Journal of Industrial Engineering Computations, Vol. 17, No. 2, pp. 403–420. (IF: 1.8) Q2 https://doi.org/10.5267/j.ijiec.2026.3.010 3. Maleki Rastaghi, M., Barzinpour, F., Heydari, J., & Gholamian, M.R. (2026, April). Pricing and procurement strategies in the relief supply chain via bidirectional option contract. PLOS ONE, Vol. 21, No. e0341427. (IF: 2.6) Q2 https://doi.org/10.1371/journal.pone.0341427 4. Leylaparast, P., Gholamian, M.R., & Noroozi, M. (2026, January). A New Hybrid of Optimal Payment and Franchise Fee (HOPF) Contracts Considering Minimum Possible Delivery Time and Stochastic Demand in an online selling channel. OPSEARCH, Accepted. (eIF: 1.8) Q3 https://doi.org/10.1007/s12597-026-01103-3 5. Raei, M., Hosseini-Motlagh, S.M., & Gholamian, M.R. (2026, January). A meshfree RBF-PUM method for solving variable-order time-fractional transport equations with an illustrative case in intelligent transportation systems. Engineering Analysis with Boundary Elements, Vol. 182, p. 106570. (IF: 4.1) Q1 https://doi.org/10.1016/j.enganabound.2025.106570 6. Mirshamshirgaran, A., Gholamian, M.R., & Fathollahi Arani, S. (2026, September). Profit Optimization via Revenue-Sharing Coordination in a Three-Echelon Supply Chain with Blockchain-Based 3PL. International Journal of Engineering (IJE), Vol. 39, No. 9, pp. 2089–2105. (eIF: 2.9) Q2 DOI: 10.5829/ije.2026.39.09c.03 7. Leylaparast, P., Gholamian, M.R., & Noroozi, M. (2025, January). Integration of Pricing, Sustainability and 3PL Delivery Time According to Freshness Date in a Dual-Channel Fruit Supply Chain: A Game Theoretic Approach. Journal of Industrial and Management Optimization (JIMO), Vol. 21, No. 1, pp. 504–523. (IF: 1.6) Q3 DOI: 10.3934/jimo.2024092 8. Roshani, A., Gholamian, M.R., & Arabi, M. (2024, December). Integrating the triple bottom line of sustainability, resilience strategies, and product perishability consideration to design a pharmaceutical supply chain network: A COVID-19 case study. RAIRO - Operations Research, Vol. 58, pp. 5121–5158. (IF: 2.1) Q3 https://doi.org/10.1051/ro/2024183 9. Mostaghim, N., Gholamian, M.R., & Arabi, M. (2024, September). Designing a resilient-sustainable integrated broiler supply chain network using multiple sourcing and backup facility strategies dealing with uncertainties in a disruptive network: A real case of a chicken meat network. Computers and Chemical Engineering, Vol. 188, Article No. 108772. (IF: 3.9) Q1 https://doi.org/10.1016/j.compchemeng.2024.108772 10. Salehi Moghadam, S., Gholamian, M.R., Zahedi, R., & Shaqaqifar, M. (2024, September). Designing a multi-purpose network of sustainable and closed-loop renewable energy supply chain, considering reliability and circular economy. Applied Energy, Vol. 369, Article No. 123539. (IF: 11.0) Q1 https://doi.org/10.1016/j.apenergy.2024.123539 11.Arabi, M., Gholamian, M.R., Teimoury, E., & Mirzamohammadi, S. (2024, July). A robust bi-level programming model to enhance resilience in supply chain network considering government role, taxing, and raw sale: An iron ore case study. Computers & Industrial Engineering, Vol. 193, Article No. 110322. (IF: 6.5) Q1 https://doi.org/10.1016/j.cie.2024.110322 12. Hadadi, Z., Gholamian, M.R., & Noroozi, M. (2024, March). The Sale Services, Bundling and Jointly Advertising Strategies under Profit Sharing Contract in Closed-Loop Competitive Supply Chain. European Journal of Industrial Engineering, Vol. 18, No. 2, pp. 157–190. (IF: 1.4) Q2 https://doi.org/10.1504/EJIE.2024.137116 13. Goudarzi, A., & Gholamian, M.R. (2024, February). An integrated GBWM-PROMETHEE-CLOUD & MCGP Model for Green Supplier Selection and Order Allocation (GSSOA) in an oil refinery. Journal of Cleaner Production, Vol. 440, Article No. 140782. (IF: 10.0) Q1 DOI: 10.1016/j.jclepro.2024.140782 14. Babaveisi, V., Teimoury, E., Gholamian, M.R., & Rostami-Tabar, B. (2023, August). Integrated demand forecasting and planning model for repairable spare part: an empirical investigation. International Journal of Production Research, Vol. 61, No. 20, pp. 6791–6807. (IF: 7.3) Q1 https://doi.org/10.1080/00207543.2022.2137596 15. Tavakoli-Zaniani, M., Gholamian, M.R., Hashemi Golpayegani, S.A., & Ghazanfari, M. (2023, May). An Integer Linear Programming Model for Performing the Dependency Graph Discovery Step of Heuristics Miner Methods. Knowledge and Information Systems, Vol. 65, No. 5, pp. 2087–2121. (IF: 3.1) Q2 https://doi.org/10.1007/s10115-022-01821-2 16. Sepehri, A., & Gholamian, M.R. (2023, April). A green inventory model with imperfect items considering inspection process and quality improvement under different shortages scenarios. Environment, Development and Sustainability, Vol. 25, No. 4, pp. 3269–3297. (IF: 4.2) Q1 https://doi.org/10.1007/s10668-022-02187-9 17. Babaveisi, V., Teimoury, E., & Gholamian, M.R. (2023, April). A planning model for repairable spare part supply chain considering stochastic demand and backorder: an empirical investigation. Decision Science Letters, Vol. 12, No. 2, pp. 239–254. (eIF: 1.1) Q3 https://doi.org/10.5267/j.dsl.2023.2.001 18. Moradi, S., Gholamian, M.R., & Sepehri, A. (2023, March). An Inventory Model for Imperfect Quality Items Considering Learning Effects and Partial Trade Credit Policy. OPSEARCH, Vol. 60, No. 1, pp. 276–325. (eIF: 1.8) Q2 https://doi.org/10.1007/s12597-022-00602-3 19. Arabi, M., & Gholamian, M.R. (2023, January). Resilient closed-loop supply chain network design considering quality uncertainty: A case study of stone quarries. Journal of Resources Policy, Vol. 80, Article No. 103290. (IF: 8.22) Q1 https://doi.org/10.1016/j.resourpol.2022.103290 20. Pourmohammadi, F., Teimoury, E., & Gholamian, M.R. (2022, October). A fuzzy chance-constrained programming model for integrated planning of the wheat supply chain considering wheat quality and sleep period: a case study. Scientia Iranica, Vol. 29, No. 5, pp. 2593–2609. (IF: 1.9) Q3 https://doi.org/10.24200/sci.2020.53772.3404 21. Sepehri, A., & Gholamian, M.R. (2022, August). Joint pricing and lot-sizing for a production model under controllable deterioration and carbon emissions. International Journal of Systems Science: Operations & Logistics, Vol. 9, No. 3, pp. 324–338. (IF: 3.3) Q2 https://doi.org/10.1080/23302674.2021.1896049 22. Tavakoli, M., Gholamian, M.R., & Hashemi-Golpayegani, S.A. (2022, May). Improving Heuristics Miners for Healthcare Applications by Discovering Optimal Dependency Graphs. Journal of Supercomputing, Vol. 78, pp. 19628–19661. (IF: 2.7) Q2 https://doi.org/10.1007/s11227-022-04637-7 23. Maleki, N., Gholamian, M.R., & Yaghoubi, S. (2022, May). An integrated model of BWM and Choquet Integral for determining fuzzy measures in interacting criteria. International Journal of Information Technology & Decision Making, Vol. 21, No. 3, pp. 1061–1086. (IF: 1.8) Q2 https://doi.org/10.1007/s11227-022-04637-7 24. Tavakoli, M., & Gholamian, M.R. (2022, January). Improving Heuristic Process Discovery Methods through Determining the Optimal Split/Join Patterns of Dependency Graphs. IEEE Access, Vol. 10, pp. 1116–1131. (IF: 3.6) Q1https://doi.org/10.1109/ACCESS.2021.3135298 25. Gholamian, M.R., & Ebrahimzadeh-Afruzi, M. (2021, December). Credit and discount incentive options for two-level supply chain coordination, under uncertain price-dependent demand. Operational Research, Vol. 21, No. 4, pp. 2283–2307. (IF: 2.7) Q2 https://doi.org/10.1007/s12351-019-00527-8 26. Zamani Bajegani, H., & Gholamian, M.R. (2020, December). Optimal Inventory Control of Obsolete Products with Price-Dependent Demand. Journal of Engineering Research, Vol. 8, No. 4, pp. 169–184. (IF: 2.2) Q2 https://doi.org/10.36909/jer.v8i4.8316 27. Maleki, N., Bagherifard, M., & Gholamian, M.R. (2020, November). Application of Incomplete Analytic Hierarchy Process and Choquet Integral to Select the best Supplier and Order Allocation in Petroleum Industry. IJE TRANSACTIONS B: Applications, Vol. 33, No. 11, pp. 2299–2309. (eIF: 2.9) Q2 https://doi.org/10.5829/ije.2020.33.11b.20 28. Moslehi, F., Haeri, A., & Gholamian, M.R. (2020, October). A novel selective clustering framework for feature selection and appropriate labeling of the clusters based on K-means algorithm. Scientia Iranica, Vol. 27, No. 5, pp. 2621–2634. (IF: 1.9) Q3 https://doi.org/10.24200/sci.2019.51110.2010 29. Babashahi, M., Shahanaghi, K., Gholamian, M.R., & Yavari, A. (2020, August). A bi-objective hierarchical hub location model with facility failure. Scientia Iranica, Vol. 27, No. 4, pp. 2009–2020. (IF: 1.9) Q3 https://doi.org/10.24200/sci.2018.5358.1229 30. Pourmohammadi, F., Teimoury, E., & Gholamian, M.R. (2020, June). A scenario-based stochastic programming approach for designing and planning wheat supply chain (A case study). Decision Science Letters, Vol. 9, No. 4, pp. 537–546. (eIF: 1.1) Q3 https://doi.org/10.5267/j.dsl.2020.8.004 31. Khakzad, A., & Gholamian, M.R. (2020, May). The effect of inspection on deterioration rate: An inventory model for deteriorating items with advanced payment. Journal of Cleaner Production, Vol. 254, Article No. 120117. (IF: 10.0) Q1 https://doi.org/10.1016/j.jclepro.2020.120117 32. Hamidi, M.R., & Gholamian, M.R. (2020, March). Optimizing warehouse network reliability under intentional disruption by increasing network ambiguity: a multi objective optimization model. Sādhanā, Vol. 45, No. 1. (IF: 1.4) Q2 https://doi.org/10.1007/s12046-020-1295-6 33. Malekitabar, M.M., Yaghoubi, S., & Gholamian, M.R. (2019, July). A novel mathematical inventory model for growing-mortal items (case study: Rainbow trout). Applied Mathematical Modelling, Vol. 71, pp. 96–117. (IF: 5.1) Q1 https://doi.org/10.1016/j.apm.2019.02.007 34. Gholamian, M.R., & Nasri, M. (2019, July). A Multi Echelon Location-Inventory Model with Lateral Transshipment. Operations and Supply Chain Management: An International Journal, Vol. 12, No. 2, pp. 88–99. (eIF: 1.8) Q2 https://doi.org/10.31387/oscm0370226 35. Zadjafar, M., & Gholamian, M.R. (2018, October). A sustainable inventory model by considering environmental ergonomics and environmental pollution, case study: Pulp and paper mills. Journal of Cleaner Production, Vol. 199, pp. 444–458. (IF: 10.0) Q1 https://doi.org/10.1016/j.jclepro.2018.07.175 36. Ghiasi, H., Fathian, M., & Gholamian, M.R. (2018, September). A reputation system for e-marketplaces based on pairwise comparison. Knowledge and Information Systems, Vol. 53, No. 3, pp. 613–636. (IF: 3.1) Q2 https://doi.org/10.1007/s10115-017-1141-2 37. Dehghani Zadeh, M.R., Fathian, M., & Gholamian, M.R. (2018, July). LDcFR: A new model to determine value of airline passengers. Tourism and Hospitality Research, Vol. 18, No. 3, pp. 357–366. (eIF: 2.8) Q1 https://doi.org/10.1177/1467358416663821 38. Akbari, S., Khanzadi, M., & Gholamian, M.R. (2018, June). Building a rough sets-based prediction model for classifying large-scale construction projects based on sustainable success index. Engineering, Construction and Architectural Management, Vol. 25, No. 4, pp. 534–558. (IF: 3.9) Q1 https://doi.org/10.1108/ECAM-05-2016-0110 39. Beheshtian, A., Fathian, M., & Gholamian, M.R. (2018, January). A novel model for product bundling and direct marketing in e-commerce based on market segmentation. Decision Science Letters, Vol. 7, No. 1, pp. 39–54. (eIF: 1.1) Q3 https://doi.org/10.5267/j.dsl.2017.4.005 40. Mahmoudi, M., Elwany, A., Shahanaghi, K., & Gholamian, M.R. (2017, December). A Delay Time Model with Multiple Defect Types and Multiple Inspection Methods. IEEE Transactions on Reliability, Vol. 66, No. 4, pp. 1073–1084. (IF: 5.7) Q1 https://doi.org/10.1109/TR.2017.2754519 41.Hamidi, M.R., Gholamian, M.R., Shahanaghi, K., & Yavari, A. (2017, November). Reliable warehouse location-network design problem under intentional disruption. Computers & Industrial Engineering, Vol. 113, pp. 123–134. (IF: 6.5) Q1 https://doi.org/10.1016/j.cie.2017.09.012 42. Gholamian, M.R., & Taghanzadeh, A.H. (2017, August). Integrated network design of wheat supply chain: A real case of Iran. Computers and Electronics in Agriculture, Vol. 140, pp. 139–147. (IF: 8.9) Q1 https://doi.org/10.1016/j.compag.2017.05.038 43. Gholamian, M.R., & Heydari, M. (2017, June). An inventory model with METRIC approach in location‐routing‐inventory problem. Advances in Production Engineering & Management, Vol. 12, No. 2, pp. 115–126. (IF: 2.5) Q2 https://doi.org/10.14743/apem2017.2.244 44. Karimi Majd, A.M., Fathian, M., & Gholamian, M.R. (2017, January). Behavior-based indices for evaluating communities in online social networks. Intelligent Data Analysis, Vol. 21, No. 1, pp. 205–220. (IF: 0.8) Q3 https://doi.org/10.3233/IDA-150349 45. Sadatrasoul, S.M., Gholamian, M.R., & Shahanaghi, K. (2015, March). Combination of Feature Selection and Optimized Fuzzy Apriori Rules: The Case of Credit Scoring. International Arab Journal of Information Technology (IAJIT), Vol. 12, No. 2, pp. 138–145. (IF: 1.1) Q3 46. Sadatrasoul, S.M., Gholamian, M.R., & Shahanaghi, K. (2015, January). An application of data mining classification and bi-level programming for optimal credit allocation. Decision Science Letters, Vol. 4, No. 1, pp. 35–50. (eIF: 1.1) Q3 https://doi.org/10.5267/j.dsl.2014.9.005 47. Dehghani Zadeh, M.R., Fathian, M., & Gholamian, M.R. (2014, December). A New Method for Clustering Based on Development of Imperialist Competitive Algorithm. China Communications, Vol. 11, No. 12, pp. 54–61. (IF: 3.1) Q1 https://doi.org/10.1109/CC.2014.7019840 48. Mansouri, T., Zare Ravasan, A., & Gholamian, M.R. (2014, October). A Novel Hybrid Algorithm Based on K-Means and Evolutionary Computations for Real Time Clustering. International Journal of Data Warehousing and Mining (IJDWM), Vol. 10, No. 3, pp. 1–14. (IF: 0.7) Q4 49. Teimoury, E., Chambar, I., Gholamian, M.R., & Fathian, M. (2014, September). Designing an ontology-based multi-agent system for supply chain performance measurement using graph traversal. International Journal of Computer Integrated Manufacturing, Vol. 27, No. 12, pp. 1160–1174. (IF: 4.0) Q1https://doi.org/10.1080/0951192X.2013.874584 50. Sadatrasoul, S.M., Gholamian, M.R., Hajimohammadi, Z., & Hosseini, M. (2014, October). Utility based Credit Scoring for Banks and Financial Institutions: Case Study of a Major Iranian Bank. Journal of Mathematics and Computer Science (JMCS), Vol. 13, No. 4, pp. 281–287. (eIF: 1.2) Q2 http://dx.doi.org/10.22436/jmcs.013.04.01 51. Hamidi, M.R., Gholamian, M.R., & Shahanaghi, K. (2014, August). Developing prevention reliability in hub location models. Journal of Risk and Reliability, Vol. 228, No. 4, pp. 337–346. (IF: 1.8) Q2 https://doi.org/10.1177/1748006X13519247 52. Siami, M., Gholamian, M.R., & Basiri, J. (2014, July). An application of locally linear model tree algorithm with combination of feature selection in credit scoring. International Journal of Systems Science, Vol. 45, No. 10, pp. 2213–2222. (IF: 4.6) Q1 https://doi.org/10.1080/00207721.2013.767395 53. Gholamian, M.R., Fatemi Ghomi, S.M.T., & Ghazanfari, M. (2014, February). Applying FARSJUM intelligent system to derive priorities in sparse hierarchical problems. Soft Computing, Vol. 18, No. 2, pp. 299–311. (IF: 2.5) Q2 https://doi.org/10.1007/s00500-013-1058-y 54. Gholamian, M.R., Jahanpour, S., & Sadatrasoul, S.M. (2013, February). A New Method for Clustering in Credit Scoring Problems. Journal of Mathematics and Computer Science (JMCS), Vol. 6, No. 2, pp. 97–106. (eIF: 1.2) Q2 55. Seyed Hosseini, S.M., Gholamian, M.R., & Movassagh, A.R. (2011, November). An Adaptive Agent based Model for Improving Agility indicators in JIT Manufacturing Systems. Kuwait Journal of Science, Vol. 38, No. 2B, pp. 1–14. (IF: 1.1) Q2 56. Seyed Hosseini, S.M., Maleki, A., & Gholamian, M.R. (2010, July). Cluster Analysis Using Data Mining Approach to Develop CRM Methodology to Assess the Customer Loyalty. Expert Systems with Applications, Vol. 37, No. 7, pp. 5259–5264. (IF: 7.5) Q1 https://doi.org/10.1016/j.eswa.2009.12.070 57. Namvar, M., Fathian, M., Akhavan, P., & Gholamian, M.R. (2010, June). Exploring the Impacts of Intellectual Property on Intellectual Capital and Company Performance: The Case of Iranian Computer and Electronic Organizations. Management Decision, Vol. 48, No. 5, pp. 676–697. (IF: 5.1) Q1 https://doi.org/10.1108/00251741011043876 58. Gholamian, M.R., Fatemi Ghomi, S.M.T., & Ghazanfari, M. (2007, May). A hybrid system for multiobjective decision making problem - A case study in NP-hard problems. Knowledge-Based Systems, Vol. 20, Issue 4, pp. 426–436. (IF: 7.6) Q1 https://doi.org/10.1016/j.knosys.2006.06.007 59. Gholamian, M.R., Fatemi Ghomi, S.M.T., & Ghazanfari, M. (2007, February). FARSJUM, a fuzzy system for ranking sparse judgment matrices: A case study in soccer tournaments. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS), Vol. 15, No. 1, pp. 115–129. (IF: 1.0) Q3 https://doi.org/10.1142/S0218488507004406 60. Gholamian, M.R., & Fatemi Ghomi, S.M.T. (2007, January). Meta knowledge of intelligent manufacturing: An overview of state-of-the-art. Applied Soft Computing, Vol. 7, Issue 1, pp. 1–16. (IF: 6.6) Q1 https://doi.org/10.1016/j.asoc.2004.12.008 61. Gholamian, M.R., Fatemi Ghomi, S.M.T., & Ghazanfari, M. (2006, September). A hybrid intelligent system for multiobjective decision making problem. Computers & Industrial Engineering, Vol. 51, Issue 1, pp. 26–43. (IF: 6.5) Q1 https://doi.org/10.1016/j.cie.2006.06.011 62. Gholamian, M.R., Fatemi Ghomi, S.M.T., & Ghazanfari, M. (2005). A hybrid systematic design for multiobjective marketing problems - A case study in crude oil markets. Engineering Applications of Artificial Intelligence, Vol. 18, No. 4, pp. 495–509. (IF: 8.0) Q1 https://doi.org/10.1016/j.engappai.2004.11.004 63. Vafaei, R., Gholamian, M.R., & Sedaghat Seyed Abadi, M. (2025, September). A Cooperative Game Network DEA Model for Evaluating Circular Economy Performance in Railway Maintenance Companies in Iran. International Journal of Railway Research, Vol. 12, No. 2, pp. 59–80. 64. Sedighi, Y., Gholamian, M.R., Hosseini-Motlagh, S.M., Fathollahi, S., & Raei, M. (2025, July). Coordination strategies in two-stage supply chains under partial stochastic demand information: A focus on corporate social responsibility and marketing efforts. Journal of Industrial Engineering and Management Studies, Vol. 12, No. 1, pp. 53–https://doi.org/10.22116/jiems.2025.502543.1590 65. Vakilian, H., Hosseini-Motlagh, S.M., Gholamian, M.R., Fathollahi, S., & Raei, M. (2024, December). Coordination of green supply chain considering fairness concern and distribution-free approach. Journal of Industrial Engineering International, Vol. 20, No. 4, pp. 52–66. 66. Mostaghim, N., Gholamian, M.R., & Arabi, M. (2024, June). A Resilient-sustainable SCND using multiple sourcing and backup facility strategies in Iran’s broiler network. Advances in Industrial Engineering, Vol. 58, No. 1, pp. 63–83. DOI: 10.22059/aie.2024.368688.1887 67. Zamani Bajegani, H., & Gholamian, M.R. (2023, Spring). Optimal Inventory Control of Obsolete Products with Permissible Delay in Payments and Time-dependent Demand using PSO Algorithm. Iranian Journal of Optimization, Vol. 15, No. 2, pp. 69–79. 68. Babaveisi, V., Teimoury, E., & Gholamian, M.R. (2023, April). The effect of demand aggregation on spare part supply chain planning: An empirical study of oil company. Journal of Industrial and Systems Engineering (JISE), Vol. 15, No. 2, pp. 76–93. 69. Sepehri, A., & Gholamian, M.R. (2023, Winter). Joint pricing and replenishment decisions in an inventory model for deteriorating items considering wastewater treatment: A case study. Journal of Industrial Engineering International, Vol. 19, No. 1. 70. Noroozi, M., & Gholamian, M.R. (2022, December). Perishable Food Supply Chain Coordination with Multiplicative Demand Function of Price, Shelf-life Duration, and Green Technology Investment under Revenue-Sharing Contract. Journal of Industrial Engineering and Management Studies, Vol. 9, No. 2, pp. 45–63. 71. Khakzad, A., Gholamian, M.R., & Sadjadi, S.J. (2022, August). Optimal Price, Cycle Time and Advertising for an Inventory Model of Deteriorating Items: A Geometric Programming Approach. International Journal of Supply and Operations Management, Vol. 9, No. 3, pp. 281–298. (SCOPUS) https://doi.org/10.22034/ijsom.2021.108866.2009 72. Zamani Bajegani, H., & Gholamian, M.R. (2022, February). Optimal inventory model with time and price dependent demand under the risk of product obsolescence. International Journal of Applied and Computational Mathematics, Vol. 8, No. 1, Article No. 32. (SCOPUS) https://doi.org/10.1007/s40819-021-01230-z 73. Arabi, M., & Gholamian, M.R. (2021, Summer). Sustainable supply chain network design with price-based demand considering sound and dust pollutions: A Case Study. Advances in Industrial Engineering, Vol. 55, No. 3, pp. 285–306. https://doi.org/10.22059/aie.2021.331646.1809 74. Sepehri, A., & Gholamian, M.R. (2021, July). A sustainable inventory model for perishable items considering waste treatment for returning items. Journal of Industrial and Systems Engineering (JISE), Vol. 13, No. 3, pp. 70–86. 20.1001.1.17358272.2021.13.3.5.7 75. Farahinejad, K., & Gholamian, M.R. (2019, August). Optimizing the Safety Stock with Guaranteed Service Model in Reverse Logistics Considering Internal and External Returns. International Journal of Supply and Operations Management (IJSOM), Vol. 6, No. 3, pp. 188–199. https://doi.org/10.22034/2019.3.1 76. Moslehi, F., Haeri, A., & Gholamian, M.R. (2019, Spring). Investigation of effective factors in expanding electronic payment in Iran using data mining techniques. Journal of Industrial and Systems Engineering (JISE), Vol. 12, No. 2, pp. 61–94. 20.1001.1.17358272.2019.12.2.5.4 77. Zamani Bajegani, H., & Gholamian, M.R. (2018, Summer). An Inventory Model for Obsolescence Items with Consideration of Permissible Delay in Payments (Case Study of Obsolete Medicines in Pharmacies). International Journal of Hospital Research, Vol. 7, No. 3, pp. 33–48. 78. Bagherifard, M., Maleki, N., & Gholamian, M.R. (2018, Spring). An Assessment of Chemotherapy Drugs with Incomplete Information using the Analytic Hierarchy Process and Choquet Integral. International Journal of Hospital Research, Vol. 7, No. 2, pp. 42–61. 79. Makui, A., Gholamian, M.R., & Mohammadi, S.E. (2016, Summer). A Hybrid Intuitionistic Fuzzy Multi-criteria Group Decision Making Approach for Supplier Selection. Journal of Optimization in Industrial Engineeringg, Vol. 9, No. 20, pp. 61–73. (SCOPUS) DOI:10.22094/joie.2016.251 80. Makui, A., Gholamian, M.R., & Mohammadi, S.E. (2015, Autumn). Supplier selection with multi-criteria group decision making based on interval-valued intuitionistic fuzzy sets (case study on a project-based company). Journal of Industrial and Systems Engineering (JISE), Vol. 8, No. 4, pp. 19–38. 20.1001.1.17358272.2015.8.4.2.7 81. Rashid, R., Hoseini, S.F., Gholamian, M.R., & Feizabadi, M. (2015, December). Application of queuing theory in production-inventory optimization. Journal of Industrial Engineering International, Vol. 11, No. 4, pp. 485–494. (SCOPUS) Q1 https://doi.org/10.1007/s40092-015-0115-9 82. Sadatrasoul, S.M., Gholamian, M.R., & Shahanaghi, K. (2015, July). Investigating the Effect of Selected Sustainable Development Indicators on Credit Allocation: The Case of National Development Fund of Iran. Iranian Journal of Management Studies (IJMS), Vol. 8, No. 3, pp. 453–477. (Emerging ISI / SCOPUS) 10.22059/ijms.2015.53637 83. Mahmoodian, V., Makui, A., & Gholamian, M.R. (2015, Spring). A new mathematical model for intensity matrix decomposition using multileaf collimator. Journal of Industrial and Systems Engineering (JISE), Vol. 8, No. 2, pp. 21–38. 84. Sadatrasoul, S.M., Gholamian, M.R., & Shahanaghi, K. (2015, Winter). Extracting Rules from Imbalanced Data: The Case of Credit Scoring. Journal of Information Systems and Telecommunication (JIST), Vol. 3, No. 1, pp. 22–28. (SCOPUS) 85. Shahanaghi, K., Gholamian, M.R., & Nowrouzi, A. (2015, March). Optimal advertising-pricing decisions for national and private label competition in a dynamic framework. Applied Mathematics in Engineering, Management and Technology, Vol. 3, No. 2, pp. 75–83. (Pre) 86. Sadatrasoul, S.M., Gholamian, M.R., Siami, M., & Hajimohammadi, Z. (2013, April). Credit scoring in banks and financial institutions via data mining techniques: A literature review. Journal of AI and Data Mining, Vol. 1, No. 2, pp. 119–129. https://doi.org/10.22044/jadm.2013.124 87. Gholamian, M.R., Sadatrasoul, S.M., & Hajimohammadi, Z. (2012, August). Fuzzy Apriori Rule Extraction Using Multi-Objective Particle Swarm Optimization: The Case of Credit Scoring. Journal of Advances in Computer Research, Vol. 3, No. 3, pp. 53–64. (Pre) 88. Basiri, J., Taghiyareh, F., Siami, M., & Gholamian, M.R. (2011, March). Credit Scoring using Imperialist Competitive Rule-based Classifier. International Journal of Information & Communication Technology Research (IJICT), Vol. 3, No. 2, pp. 57–65.
1. Mohammadi, M. & Gholamian, M.R. Vendor Managed Inventory Model in a Supply Chain with Single Vendor and Multiple Retailers Considering Price and Shelf Space Aspects, International Journal of Logistics Systems and Management, Vol 49, No. 3, pp. 291-311, November 2024. 2. Bagherifard, M., Gholamian, M.R. & Ghannadpour, S.F. A new solution for incomplete AHP model using goal programming and similarity function, International Journal of the Analytic Hierarchy Process (IJAHP), Vol. 15, No. 1. March 2023. 3. Ebrahimzadeh Pilerood, A. & Gholamian, M.R. An efficient customer classification framework to identify target customers by Bayesian networks in automotive industry, International Journal of Data Analysis Techniques and Strategies, Vol. 8, No. 4, pp. 348-356, 2016. 4. Keikha, F., Fathian, M. & Gholamian, M.R. TB-CA: A hybrid method based on trust and context-aware for recommender system in social networks, Management Science Letters, Vol. 5, No. 5, pp. 471–480, March 2015. 5. Gholamian, M.R. & Mazidi, S. Resource evaluation: a novel application of opinion mining for competitive intelligence, International Journal of Business Information Systems, Vol. 16, No. 3, pp. 339-358, July 2014. 6.. Najmi, A., Gholamian, M.R. & Makui, A. Supply chain performance models: A literature review on approaches, techniques, and criteria, Journal of Operations and Supply Chain Management, Vol. 6, No 2, pp 94–113, July - December 2013. 7. Ale-ebrahim, N., Fathian, M. & Gholamian, M.R. Sentiment classification of online product reviews using product features, International Journal of Information Processing and Management, Vol. 3, No. 3 , pp. 30-35, July 2012. 8. Ghanbari, N. & Gholamian, M.R. A novel algorithm for extracting knowledge based on mining multi-level sequential patterns, International Journal of Business and Systems Research, Vol. 6, No. 3, pp. 269-278, July 2012. 9. Namvar, M., Khakabi, S. & Gholamian, M.R. An approach to optimised customer segmentation and profiling using RFM, LTV, and demographic features, International Journal of Electronic Customer Relationship Management, Vol. 5, Nos. 3/4, pp. 220-235, December 2011. 10. Ghane, S., Fathian, M. & Gholamian, M.R. Full Relationship Among e-Satisfaction, e-Trust, e-Service Quality and e-Loyalty: The Case Study of Iran e-Banking, Journal of Theoretical and Applied Information Technology, Vol. 33, No. 1, pp. 1-6, November 2011. 11. Siami, M., Gholamian, M.R., Basiri, j. & Fathian, M. An Application of Locally Linear Model Tree Algorithm for Predictive Accuracy of Credit Scoring, Lecture notes in Computer Sciences (including Model and Data Engineering), Chapter 4, Vol. 6918, pp. 133-142, October 2011. 12. Julashokri, M., Fathian, M., Gholamian, M.R. & Mehrbod, A. Improving electronic customers' profile in recommender systems using data mining techniques, Management Science Letters, Vol. 1, No. 4, pp. 449–456, October 2011. 13. Nilashi, M., Fathian, M., Gholamian,M.R., Bin-Ibrahim, O., Talebi, A. & Ithnin, N. A Comparative Study of Adaptive Neuro Fuzzy Inferences System (ANFIS) and Fuzzy Inference System (FIS) Approach for Trust in B2C Electronic Commerce Websites, Journal of Convergence Information Technology, Vol. 6, No. 9, pp. 25-43, September 2011. 14. Ghanavati, M., Gholamian, M.R., Minaei, B. & Davoudi, M. An Efficient Cost Function for Imperialist Competitive Algorithm to Find the Best Clusters, Journal of Theoretical and Applied Information Technology, Vol. 29, No. 1, pp. 22-31, July 2011. 15. Joulashokri, M., Fathian, M., Gholamian, M.R. & Mehrbod, R. Improving Recommender System's Efficiency using Time Context and Group Preferences, Advances in Information Sciences and Service Sciences, Vol. 3, No. 4, pp. 162-168, May 2011. 16. Khakabi, S., Barzinpour, F. & Gholamian, M.R. Enhancing Ensemble Performance Through Feature Selection and Hybridization, International Journal of Information Processing and Management, Vol. 2, No. 2, pp. 78-87, April 2011. 17. Hamzehei, A., Fathian, M., Farvaresh, H. & Gholamian, M.R. A New Methodology to Study Customer Electrocardiogram using RFM Analysis and Clustering, Management Science Letters, Vol. 1, No. 2, pp. 139-148, April 2011. 18. Asgharzadeh Sekhavat, Y., Fathian, M., Gholamian, M.R., & Alizadeh, S. Mining important association rules based on RFMD technique. International Journal of Data Analysis Techniques and Strategies (IJDATS). Vol. 2, No. 1, pp. 1-21, January 2010. 19. Gholamian, M.R., & Fatemi Ghomi, S.M.T., & Ghazanfari, M. A hybrid computational intelligent system for multiobjective supplier selection problem. International Journal of Management and Decision Making. Vol. 7, Nos. 2/3, pp. 216 – 233, 2006. 20. Gholamian, M.R., & Fatemi Ghomi, S.M.T. An empirical research in intelligent manufacturing: a frame based representation of AI usages in manufacturing aspects. IFIP International Federation for Information Processing, Vol. 159, pp. 161 – 172, 2005
1. Yousefi Vardanjani, M., Gholamian, M.R., Maleki, N. Decision-Making on Green Vehicles Using a Hybrid Taxonomy Approach with Reference-Based Methods, Supply Chain and Operations Decision Making, Vol. 3, No. 2, pp. 110–126, Spring 2026. 2. Sadatrasoul, S.M., Gholamian, M.R. & Shahanaghi, K. Inducing Valuable Rules from Imbalanced Data: The Case of an Iranian Bank Export Loans, International Journal of Information, Security and System Management, Vol.2, No.1, pp. 130-135, Autumn 2013. 3. Gholamian, M.R. & Mazidi, S. Internal Factor Evaluation: An Application of Opinion Mining, Global Journal on Technology, Vol. 3, pp. 915-921, 2013. 4. Keikha, F., Fathian, M. & Gholamian, M.R. Literature review and classification of recommendation systems on social network researches, Elixir International Journal of Computer Science and Engineering, Vol. 62, pp. 17630-17633, September 2013. 5. Negahdari Kia, A., Fathian, M. & Gholamian, M. R. Using MLP and RBF Neural Networks to Improve the Prediction of Exchange Rate Time Series with ARIMA, International Journal of Information and Electronics Engineering, Vol. 2, No. 4, pp. 543-546, July 2012. 6. Nilashi, M., Fathain, M., Gholamian, M.R., Bin-Ibrahim, O. & Khoshraftar, A. The identification Level of Security, Usability and Transparency Effects on Trust in B2C Commercial Websites using Adaptive Neuro Fuzzy Inference System (ANFIS), International Journal of Artificial Intelligence and Expert Systems (IJAE), Vol. 2, No. 3, pp. 126-149, July 2011. 7. Nilashi, M., Fathian, M., Gholamian, M.R. & Bin-Ibrahim, O. Propose a Model for Customer Purchase Decision in B2C Websites using Adaptive Neuro-Fuzzy Inference System, International Journal of Business Research and Management, Vol. 2, No. 1, pp. 183-200, April 2011. 8. Nilashi, M., Fathian, M., Gholamian, M.R. & Bin-Ibrahim, O. Offering a Model of Evaluation of Trust Suggesting Between Customers and e-Stores (B2C) Based on Approaches of Fuzzy Logic, International Journal of Business Research and Management, Vol. 1, No. 2, pp. 46-58, December 2010. 9. Kiani, B., Gholamian, M.R., Hamzehei, A., & Hosseini, S.H. Using casual loop diagram to better understanding of e-business models. International Journal of Electronic Business Management (IJEBM). Vol. 7, No 3, pp. 159-167, September 2009.
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