A Novel Hybrid Approach to Enhance Intelligence Integration in Small-Medium Enterprises
Subject Areas : Simulation Based OptimizationHamidreza Seifi 1 , Kaveh Mohammad Cyrus 2 , Naser Shams Gharneh 3
1 - PhD student, Department of Industrial Engineering and Systems management, Amirkabir University of Technology, Tehran, Iran.
2 - Assistant Professor, Department of Industrial Engineering and Systems management, Amirkabir University of Technology, Tehran, Iran.
3 - Associate Professor, Department of Industrial Engineering and Systems management, Amirkabir University of Technology, Tehran, Iran.
Keywords:
Abstract :
[1] Aspelund, A. and Moen O. (2004) Internationalization of small high- tech firms: the role of information technology, Journal of Eeromarketing, 13(2-3): 85-105.
[2] Abor, J. and Quartey P. (2010) Issues in SME development in Ghana and South Africa. International research journal of finance and economics, 39(6): 215-228.
[3] Arrau, G. P. and Medina F. M. (2014) Human resource management in small and medium-sized vineyards in Chile, Ciencia e investigación agraria: revista latinoamericana de ciencias de la agricultura, 41(2): 141-151.
[4] Aveiro, D., Pergl R. and Valenta M. (2015) Advances in Enterprise Engineering IX, Proceedings of the 5th Enterprise Engineering Working Conference (EEWC), Springer.
[5] Aviso, K., A. Mayol, M., Promentilla, J. Santos, R. Tan, Ubando A. T. and Yu K. (2018) Allocating human resources in organizations operating under crisis conditions: A fuzzy input-output optimization modeling framework, Resources, Conservation and Recycling, 128: 250-258.
[6] Aslinezhad, M., and Malekijavan, A., and Abbasi, P. (2020) Adaptive neuro-fuzzy modeling of a soft finger-like actuator for cyber-physical industrial systems. Journal of Supercomputing. https://doi.org/10.1007/s11227-020-03370-3.
[7] Brown, J. H. and Watts J. (1992) Enterprise engineering: building 21st century organizations, The Journal of Strategic Information Systems, 1(5): 243-249.
[8] Bacon, N. and Hoque K. (2005) HRM in the SME sector: valuable employees and coercive networks, The International Journal of Human Resource Management, 16(11): 1976-1999.
[9] Baumann, P., Fündeling, C.U., and Trautmann, N. (2015) The resource- constrained project scheduling problem with work-content constraints. In Handbook on Project Management and Scheduling, 1, 533–544.
[10] Ballesteros-Pérez, P., Ting Phu, F.T, and Mora-Melià, D. (2019) Human Resource Allocation to Multiple Projects Based on Members’ Expertise, Group Heterogeneity, and Social Cohesion. Journal of Construction Engineering and Management 145(2). https://doi.org/10.1061/(ASCE)CO. 1943-7862.0001612.
[11] Cesta, A., Oddi A. and Smith S. F. (2002) A constraint-based method for project scheduling with time windows, Journal of Heuristics, 8(1): 109-136.
[12] Chiu, H. N. and Tsai D. M. (2002) An efficient search procedure for the resource-constrained multi-project scheduling problem with discounted cash flows, Construction Management and Economics, 20(1): 55-66.
[13] Davis, K. R., Stam A. and Grzybowski R. A. (1992) Resource constrained project scheduling with multiple objectives: A decision support approach, Computers and operations research, 19(7): 657-669.
[14] Deetz, S. (1996) Crossroads—Describing differences in approaches to organization science: Rethinking Burrell and Morgan and their legacy, Organization science, 7(2): 191-207.
[15] Dietz, J. and Hoogervorst J. (2007) Enterprise Ontology and Enterprise Architecture–how to let them evolve into effective complementary notions, GEAO Journal of Enterprise Architecture, 2(1): 121-149.
[16] Dabirian, SH., Abbaspour, S., Khanzadi, M., and Ahmadi, M. (2019) Dynamic modelling of human resource allocation in construction projects. International Journal of Construction Management. https://doi.org/10.1080/ 15623599.2019.1616411.
[17] Elmaghraby, S. E. (1977) Activity networks: Project planning and control by network models, John Wiley and Sons.
[18] Elango, M., Nachiappan S. and Tiwari M. K. (2011) Balancing task allocation in multi-robot systems using K-means clustering and auction based mechanisms, Expert Systems with Applications, 38(6): 6486- 6491.
[19] Franck, B. and Neumann K. (1997) Resource Constrained Project Scheduling with Time Windows: Structural Questions and Priority Rule Methods, Inst, für Wirtschaftstheorie und Operations-Research.
[20] Fündeling, C.U., and Trautmann, N. (2010) A priority-rule method for project scheduling with work-content constraints. European Journal of Operational Research, 203(3), 568–574.
[21] Hartmann, S. (1998) A competitive genetic algorithm for resource‐ constrained project scheduling. Naval Research Logistics, 45(7), 733– 750.
[22] Heilmann, R. (2001) Resource–constrained project scheduling: a heuristic for the multi–mode case, OR-Spektrum, 23(3): 335-357.
[23] Hoogervorst, J. A. (2018) Foundations of Enterprise Governance and Enterprise Engineering: Presenting the Employee-Centric Theory of Organization, Springer.
[24] Kolisch, R., Sprecher, A., and Drexl, A. (1995) Characterization and generation of a general class of resource-constrained project scheduling problems. Management Science, 41(10), 1693–1703.
[25] Kolisch, R., and Sprecher, A. (1997) PSPLIB-a project scheduling problem library: OR software-ORSEP operations research softwarexchange program. European Journal of Operational Research, 96(1), 205–216.
[26] Kolisch, R., Schwindt, C., and Sprecher, A. (1999) Benchmark instances for project scheduling problems. In Project scheduling, Springer, 197– 212.
[27] Kolisch, R., Meyer, K., Mohr, R., Schwindt, C., and Urmann, M. (2003) Ablaufplanung fur die Leitstrukturoptimierung in der Pharmaforschung. Zeitschrift fur Betriebswirtschaft, 73(8),825–848.
[28] Kolisch, R. and Hartmann S. (2006) Experimental investigation of heuristics for resource-constrained project scheduling: An update, European journal of operational research, 174(1): 23-37.
[29] Kosanke, K., Vernadat F. and Zelm M. (1999) CIMOSA: enterprise engineering and integration, Computers in industry, 40(2-3): 83-97.
[30] Nudtasomboon, N. and Randhawa S. U. (1997) Resource-constrained project scheduling with renewable and non-renewable resources and time-resource tradeoffs, Computers and Industrial Engineering, 32(1): 227-242.
[31] Nübel, H. (2001) The resource renting problem subject to temporal constraints, OR-Spektrum, 23(3): 359-381.
[32] Naber, A., amd Kolisch, R. (2014) MIP models for resource-constrained project scheduling with flexible resource profiles. European Journal of Operational Research, 239(2), 335–348.
[33] Mu, L., and Kwong C.K. (2018) A multi-objective optimization model of component selection in enterprise information system integration, Computers and Industrial Engineering, 115:278-289.
[34] Marimuthu, P., Perumal, V., and Vijayakumar, V. (2019) OAFPM: optimized ANFIS using frequent pattern mining for activity recognition. Journal of Supercomputing 75: 5347–5366.
[35] Op’t Land, M. and Dietz J.L. (2012) Benefits of enterprise ontology in governing complex enterprise transformations, Enterprise Engineering Working Conference, Springer.
[36] Pérez Arrau, G. and Medina F.M. (2014) Administración de recursos humanos en pequeñas y medianas viñas en Chile, Ciencia e investigación agraria, 41(2): 141-151.
[37] Parker, D. (2016) Enterprise and competition, Handbook of Regulatory Impact Assessment: 240.
[38] Pool, I. A., Poell, R. F., Berings M. G. and Ten Cate O. (2016) Motives and activities for continuing professional development: An exploration of their relationships by integrating literature and interview data, Nurse education today, 38: 22-28.
[39] Rom, W. O., Tukel O. I. and Muscatello J. R. (2002) MRP in a job shop environment using a resource constrained project scheduling model, Omega, 30(4): 275-286.
[40] Rohaninejad, M., Tavakkoli-Moghaddam R. and Vahedi-Nouri B. (2015) Redundancy resource allocation for reliable project scheduling: A game-theoretical approach, Procedia Computer Science, 64: 265-273.
[41] Sarkis, J., Presley, A. and Liles D. H. (1995) The management of technology within an enterprise engineering framework, Computers and Industrial Engineering, 28(3): 497-511.
[42] Sessions, R. (2007) A comparison of the top four enterprise-architecture methodologies, Houston: ObjectWatch Inc.
[43] Stephen, M. and Elvis K. (2011) Influence of working capital management on firms profitability: a case of SMEs in Kenya, International Business Management, 5(5): 279-286.
[44] Suga, T. and Iijima J. (2017) Formal Specification of DEMO Process Model and Its Submodel, Enterprise Engineering Working Conference, Springer.
[45] Tukel, O. I. and Wasti S. N. (2001) Analysis of supplier buyer relationships using resource constrained project scheduling strategies, European Journal of Operational Research, 129(2): 271-276.
[46] Tavares, L. V. (2002) A review of the contribution of operational research to project management, European Journal of Operational Research, 136(1): 1-18.
[47] Tritschler, M., Naber, A., amd Kolisch, R. (2017) A hybrid metaheuristic for resource-constrained project scheduling with flexible resource profiles. European Journal of Operational Research, 262(1), 262–273.
[48] Vanhoucke, M. (2006) Work continuity constraints in project scheduling, Journal of Construction Engineering and Management, 132(1): 14-25.
[49] Vicente, M., Gama N. and Silva M. M. (2013) The value of ITIL in enterprise architecture, 2013 17th IEEE International Enterprise Distributed Object Computing Conference, IEEE.
[50] Wu, N., Bacon N. and Hoque K. (2014) The adoption of high performance work practices in small businesses: the influence of markets, business characteristics and HR expertise, The International Journal of Human Resource Management, 25(8): 1149-1169.
[51] Xiao, L. (2020) Optimal Allocation Model of Enterprise Human Resources Based on Particle Swarm Optimization. International Conference on Computer Information and Big Data Applications (CIBDA), China. DOI: 10.1109/CIBDA50819.2020.00063.
[52] Yu, L., Zhang, C., Yang, H. and Miao L. (2018) Novel methods for resource allocation in humanitarian logistics considering human suffering, Computers and Industrial Engineering, 19: 1-20.
[53] Yousefi, M. and Yousefi, M. (2019) Human resource allocation in an emergency department: A meta-model-based simulation optimization. Kybernetes 49(3): 779-796.
[54] Yan, F. (2020) Gauss interference ant colony algorithm-based optimization of UAV mission planning. Journal of Supercomputing 76: 1170–1179.