Document Type : Original Article
Authors
Department of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran.
Abstract
Due to the increasing progress in various industries, paying attention to the internal processes of the organizations is more visible to stay on the competitive scene. Therefore, many organizations attempt to simplify and evaluate their internal processes using re-engineering. By reviewing the conducted studies, it can be stated that one of the existing problems in the implementation of re-engineering projects is the selection of the optimal portfolio of processes. Hence, this study aims to provide a bi-objective mathematical model for selecting processes in the re-engineering project by considering two key assumptions include improvement in achieving organizational goals and staff resistance. To this end, first, the impact of processes on organizational goals is specified by experts and then the goals’ weights are obtained using a fuzzy Best Worst Method. Finally, the proposed model is solved by an augmented ε-constraint method and the optimal portfolio of processes is selected. Also, a public Hospital of Sari as a real-world case study is employed to set the values of model parameters. Finally, the obtained results are reported and using a sensitivity analysis, several directions are provided. The results show that changes in the staff resistance directly affects the second objective function, while changes in the improvement created by each process affect the first objective function. Also, changes in costs have little effect on either objective functions.
Keywords
AbdEllatif, M., Farhan, M.S., and Shehata, N.S., (2018). "Overcoming business process reengineering obstacles using ontology-based knowledge map methodology", Future Computing and Informatics Journal, Vol. 3, No. 1, pp. 7–28.
Arabsheybani, A., Paydar, M.M., and Safaei, A.S., (2018). "An integrated fuzzy MOORA method and FMEA technique for sustainable supplier selection considering quantity discounts and supplier’s risk", Journal of Cleaner Production, Vol. 190, pp. 577–591.
Babaee Tirkolaee, E., Hadian, S., and Golpira, H., (2019). "A novel multi-objective model for two-echelon green routing problem of perishable products with intermediate depots", Journal of Industrial Engineering and Management Studies, Vol. 6, No. 2, pp. 196–213.
Babaee Tirkolaee, E., Mardani, A., Dashtian, Z., Soltani, M., and Weber, G.-W., (2020). "A novel hybrid method using fuzzy decision making and multi-objective programming for sustainable-reliable supplier selection in two-echelon supply chain design", Journal of Cleaner Production, Vol. 250, p. 119517.
Bertolini, M., Bevilacqua, M., Ciarapica, F.E., and Giacchetta, G., (2011). "Business process re‐engineering in healthcare management: a case study", Business Process Management Journal, Vol. 17, No. 1, pp. 42–66.
Bevilacqua, M., Ciarapica, F.E., and Paciarotti, C., (2012). "Business Process Reengineering of emergency management procedures: A case study", Safety Science, Vol. 50, No. 5, pp. 1368–1376.
Bhaskar, L., (2018). "Business process reengineering: A process based management tool", Serbian Journal of Management, Vol. 13, No. 1, pp. 63–87.
Borgianni, Y., Cascini, G., and Rotini, F., (2010). "Process value analysis for business process re-engineering", Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol. 224, No. 2, pp. 305–327.
Cheraghalipour, A., and Farsad, S., (2018). "A bi-objective sustainable supplier selection and order allocation considering quantity discounts under disruption risks: A case study in plastic industry", Computers & Industrial Engineering, Vol. 118, pp. 237–250.
Cheraghalipour, A., Paydar, M.M., and Hajiaghaei-keshteli, M., (2018). "Applying a hybrid BWM-VIKOR approach to supplier selection: a case study in the Iranian agricultural implements industry", International Journal of Applied Decision Sciences, Vol. 11, No. 3, pp. 274–301.
Crowe, T.J., Rathi, K., and Rolfes, J.D., (1997). "Selecting business process reengineering projects strategically", Computers & Industrial Engineering, Vol. 33, No. 1–2, pp. 157–160.
Dachyar, M., and Sanjiwo, Z.A.H., (2018). "Business process re-engineering of engineering procurement construction (epc) project in oil and gas industry in indonesia", Indian Journal of Science and Technology, Vol. 11, No. 9, pp. 1–8.
Darmani, A., and Hanafizadeh, P., (2013). "Business process portfolio selection in re-engineering projects", Business Process Management Journal, Vol. 19, No. 6, pp. 892–916.
Davenport, T.H., and Short, J.E., (1990). "The new industrial engineering:information technology and business process redesign", Sloan Management Review, Vol. 31, No. 4, pp. 11–27.
Gholami, F., Paydar, M.M., Hajiaghaei-Keshteli, M., and Cheraghalipour, A., (2019). "A multi-objective robust supply chain design considering reliability", Journal of Industrial and Production Engineering, Vol. 36, No. 6, pp. 385–400.
Greenfield, D., Lawrence, S.A., Kellner, A., Townsend, K., and Wilkinson, A., (2019). "Health service accreditation stimulating change in clinical care and human resource management processes: A study of 311 Australian hospitals", Health Policy, Vol. 123, No. 7, pp. 661–665.
Hakim, A., Gheitasi, M., and Soltani, F., (2016). "Fuzzy model on selecting processes in Business Process Reengineering", Business Process Management Journal, Vol. 22, No. 6, pp. 1118–1138.
Hanafizadeh, P., and Osouli, E., (2011). "Process selection in re‐engineering by measuring degree of change", Business Process Management Journal, Vol. 17, No. 2, pp. 284–310.
Hosseini, S.M.H., (2019). "A bi-objective model for the assembly flow shop scheduling problem with sequence dependent setup times and considering energy consumption", Journal of Industrial Engineering and Management Studies, Vol. 6, No. 2, pp. 44–64.
Jafar Tarokh, M., Sharifi, E., and Nazemi, E., (2008). "Survey of BPR experiences in Iran: reasons for success and failure", Journal of Business & Industrial Marketing, Vol. 23, No. 5, pp. 350–362.
Kettinger, W.J., and Teng, J.T.C., (1998). "Aligning BPR to strategy: a framework for analysis", Long Range Planning, Vol. 31, No. 1, pp. 93–107.
Kwak, N.., and Lee, C.W., (2002). "Business process reengineering for health-care system using multicriteria mathematical programming", European Journal of Operational Research, Vol. 140, No. 2, pp. 447–458.
Lee, Y., Chu, P., and Tseng, H., (2011). "Corporate performance of ICT‐enabled business process re‐engineering", Industrial Management & Data Systems, Vol. 111, No. 5, pp. 735–754.
Lotlikar, V., Dsouza, B., Kamath, R., and Apuri, N., (2018). "Business Process Re-engineering for Bed Allocation Process in a Tertiary Care Hospital in Mumbai", Journal of Health Management, Vol. 20, No. 2, pp. 136–143.
Mavrotas, G., (2009). "Effective implementation of the ε-constraint method in Multi-Objective Mathematical Programming problems", Applied Mathematics and Computation, Vol. 213, No. 2, pp. 455–465.
Musa, M.A., and Othman, M.S., (2016). "Business Process Reengineering in Healthcare: Literature Review on the Methodologies and Approaches", Review of European Studies, Vol. 8, No. 1, p. 20.
Nicholds, B.A., and Mo, J.P.T., (2015). "Risk Assessment of Business Process Re-Engineering Projects", Open Journal of Social Sciences, Vol. 03, No. 03, pp. 30–34.
Onjure, C.O., M. Wanyoike, D., and Mungatu, J., (2018). "Influence of Business Process Reengineering on Electronic Commerce Strategy as Adopted by Commercial Banks in Kenya", International Journal of Innovative Research and Development, Vol. 7, No. 1, pp. 180–200.
Ostadi, B., Aghdasi, M., and Alibabaei, A., (2011). "An examination of the influences of desired organisational capabilities in the preparation stage of business process re-engineering projects", International Journal of Production Research, Vol. 49, No. 17, pp. 5333–5354.
Paydar, M.M., Babaveisi, V., and Safaei, A.S., (2017). "An engine oil closed-loop supply chain design considering collection risk", Computers & Chemical Engineering, Vol. 104, pp. 38–55.
Rabbani, M., Heidari, N., and Farrokhi Asl, H., (2016). "A Bootstrap Interval Robust Data Envelopment Analysis for Estimate Efficiency and Ranking Hospitals", Journal of Industrial Engineering and Management Studies, Vol. 3, No. 2, pp. 107–122.
Rezaei, J., (2015). "Best-worst multi-criteria decision-making method", Omega, Elsevier, Vol. 53, pp. 49–57.
Rezaei, J., Nispeling, T., Sarkis, J., and Tavasszy, L., (2016). "A supplier selection life cycle approach integrating traditional and environmental criteria using the best worst method", Journal of Cleaner Production, Elsevier Ltd, Vol. 135, pp. 577–588.
Roghanian, E., and Cheraghalipour, A., (2019). "Addressing a set of meta-heuristics to solve a multi-objective model for closed-loop citrus supply chain considering CO2 emissions", Journal of Cleaner Production, Vol. 239, p. 118081.
Sadeghi, M., Niloofar, P., Ziaee, M., and Mojaradi, Z., (2017). "An innovative algorithm for planning and scheduling healthcare units with the aim of reducing the length of stay for patients (Case study: Cardiac SurgeryWard of Razavi Hospital of Mashhad)", Journal of Industrial Engineering and Management Studies, Vol. 4, No. 1, pp. 90–104.
Song, S., Yang, F., and Xia, Q., (2019). "Multi-criteria project portfolio selection and scheduling problem based on acceptability analysis", Computers & Industrial Engineering, Vol. 135, pp. 793–799.
Tavana, M., Khosrojerdi, G., Mina, H., and Rahman, A., (2019). "A hybrid mathematical programming model for optimal project portfolio selection using fuzzy inference system and analytic hierarchy process", Evaluation and Program Planning, Vol. 77, p. 101703.
Tian, Z., Wang, J., and Zhang, H., (2018). "An integrated approach for failure mode and effects analysis based on fuzzy best-worst, relative entropy, and VIKOR methods", Applied Soft Computing, Vol. 72, pp. 636–646.
Zadeh, L.A., (1965). "Fuzzy sets", Information and Control, Vol. 8, No. 3, pp. 338–353.
Zomparelli, F., Petrillo, L., Salvo, B. Di, and Petrillo, A., (2018). "Re-engineering and Relocation of manufacturing process through a simulative and multicriteria decision model", IFAC-PapersOnLine, Vol. 51, No. 11, pp. 1649–1654.
)