سامانه پشتیبانی خدمات اطلاعات

  اخبار و اعلانات

 آمار

تعداد نشریات158
تعداد شماره‌ها6,240
تعداد مقالات67,871
تعداد مشاهده مقاله115,447,360
تعداد دریافت فایل اصل مقاله90,217,799
Mohamadi Janaki, Daryosh, Izadbakhsh, Hamidreza, Hatefi, Seyed Morteza, Yavari, Mohammad Yavari, Khalili Samani, Mohsen. (1401). Supply Chain Network Performance Measurement and Improvement Using DEA and SCOR Models in Dynamic Conditions. , 56(2), 163-197. doi: 10.22059/aie.2022.341621.1833
Daryosh Mohamadi Janaki; Hamidreza Izadbakhsh; Seyed Morteza Hatefi; Mohammad Yavari Yavari; Mohsen Khalili Samani. "Supply Chain Network Performance Measurement and Improvement Using DEA and SCOR Models in Dynamic Conditions". , 56, 2, 1401, 163-197. doi: 10.22059/aie.2022.341621.1833
Mohamadi Janaki, Daryosh, Izadbakhsh, Hamidreza, Hatefi, Seyed Morteza, Yavari, Mohammad Yavari, Khalili Samani, Mohsen. (1401). 'Supply Chain Network Performance Measurement and Improvement Using DEA and SCOR Models in Dynamic Conditions', , 56(2), pp. 163-197. doi: 10.22059/aie.2022.341621.1833
Mohamadi Janaki, Daryosh, Izadbakhsh, Hamidreza, Hatefi, Seyed Morteza, Yavari, Mohammad Yavari, Khalili Samani, Mohsen. Supply Chain Network Performance Measurement and Improvement Using DEA and SCOR Models in Dynamic Conditions. , 1401; 56(2): 163-197. doi: 10.22059/aie.2022.341621.1833

Supply Chain Network Performance Measurement and Improvement Using DEA and SCOR Models in Dynamic Conditions

Advances in Industrial Engineering
دوره 56، شماره 2، تیر 2022، صفحه 163-197    اصل مقاله (886.07 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/aie.2022.341621.1833
نویسندگان
Daryosh Mohamadi Janaki* 1؛ Hamidreza Izadbakhsh1؛ Seyed Morteza Hatefi2؛ Mohammad Yavari Yavari3؛ Mohsen Khalili Samani4
1Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran.
2Faculty of Engineering, Shahrekord University, Shahrekord, Iran.
3Department of Industrial Engineering, Faculty of Engineering, University of Qom, Qom, Iran.
4Department of Management, Dehaghan Branch, Islamic Azad University, Dehaghan, Iran
چکیده
Dynamic systems have always attracted much attention from researchers as a significant part of the various types of systems, and modeling of supply chain processes is considered as one of these due to the nature of its change over time, the volatility of customer demand is considered as one of these problems that have many effects on the system and its costs. In the present study, the SCOR Supply Chain is first modeled with the Dynamic Systems Approach (DSA) under specific parameters. We determine the control parameters of the studied policy using the DEA-SCOR model. We also Improvement the basic five-stage model to investigate models incorporating advanced demand information and evaluate the influence of demand variability on the system performance.  Then, the evaluation and ranking of the supply chain network of several distribution companies have been analyzed using the indicators of information sharing, based on the opinion of managers and experts familiar with the subject and by a combination of the data envelopment analysis (DEA)-SCOR and stochastic frontier analysis (SFA). By calculating total efficiency according to DEA-SCOR model in SCOR supply chain supply network of oil products Distribution Companies, Falavarjan Branch and Tehran Office Branch, have the highest performance, and the lowest performance is observed in Lordegan, Shahriar branch. According to the results of the SFA method, Tehran Office Branch and Isfahan Branch had the highest performances, and Shahriyar and Tiran branches had the lowest performances. The performance level calculated using the SFA method is approximately the same as the performance level calculated using the DEA method. The performance calculated by the DEA method is less than that calculated by the SFA method in some cases. The average calculated performance in the DEA method equals 0.80, and the average for the SFA method is 0.82. Given the inadequacy of indicators and the improvement of these indices at each stage, the calculated efficiency in each dynamic period gradually improves, and the average total performance in the dynamic period is 0.90.
کلیدواژه‌ها
Supply Chain Network؛ Information Sharing؛ Dynamic Performance Evaluation؛ SCOR Model Envelopment Analysis؛ Uncertainty
مراجع
 

       [1]        D.M. Janaki, A. Mirzazadeh and M.M. Janaki, "Reducing barriers to the implementation of strategic management by providing improved strategies: using fuzzy QFD applied to Petropars Company", International Journal of Industrial and Systems Engineering, vol. 31, no. 4, pp. 535-557, 2019.

       [2]        D. Janaki, H. Izadbakhsh and S. Hatefi, “The evaluation of supply chain performance in the Oil Products Distribution Company, using information technology indicators and fuzzy TOPSIS technique,” Management Science Letters, vol. 8, no. 8, pp. 835-848, 2018.

       [3]        W. Piotrowicz and R. Cuthbertson, “Performance measurement and metrics in supply chains: an exploratory study,” International Journal of Productivity and Performance Management, vol. 64, no. 8, pp. 1068-1091, 2015.

       [4]        B.M. Beamon, "Measuring supply chain performance", International Journal of Operations & Production Management, vol. 19, no. 3, pp. 275-292, 1999.

       [5]        A. Ross and C. Droge, "An integrated benchmarking approach to distribution center performance using DEA modelling", Journal of Operations Management, vol. 20, no. 1, pp. 19-32, 2002.

       [6]        A. Gunasekaran and E.W. Ngai, "Information systems in supply chain integration and management", European journal of operational research, vol. 159, no. 2, pp. 269-295, 2004.

       [7]        S. Talluri, R. Narasimhan and A. Nair, "Vendor performance with supply risk: A chance-constrained DEA approach", International Journal of Production Economics, vol. 100, no. 2, pp. 212-222, 2006.

       [8]        W.W. Wu, "Choosing knowledge management strategies by using a combined ANP and DEMATEL approach", Expert systems with applications, vol. 35, no. 3, pp. 828-835, 2008.

       [9]        A. Theeranuphattana and J.C. Tang, "A conceptual model of performance measurement for supply chains: alternative considerations", Journal of Manufacturing Technology Management, vol. 19, no. 1, pp. 125-148. 2008.

     [10]      W.H. Tsai, and W.C. Chou, "Selecting management systems for sustainable development in SMEs: A novel hybrid model based on DEMATEL, ANP, and ZOGP", Expert systems with applications, vol. 36, no. 2, pp. 1444-1458, 2009.

     [11]      F.B. Georgise, K.D. Thoben and M. Seifert, "Adapting the SCOR model to suit the different scenarios: a literature review & research agenda", International Journal of Business and Management, vol. 7, no. 6, p. 2, 2012.

     [12]      D. Estampe, S. Lamouri, J.L. Paris and S. Brahim-Djelloul, "A framework for analysing supply chain performance evaluation models", International Journal of Production Economics, vol. 142, no. 2, pp. 247-258, 2013.

     [13]      M. Shafiee, F. Hosseinzadeh Lotfi, H. Saleh, "Supply Chain Performance Evaluation with Data Envelopment Analysis and Balanced Scorecard Approach", Applied mathematical modelling, vol. 38, no. 21-22, pp. 5092-5112, 2014.

     [14]      E.N. Ntabe, L. LeBel, A.D. "Munson and L.A. Santa-Eulalia, A systematic literature review of the supply chain operations reference (SCOR) model application with special attention to environmental issues", International Journal of Production Economics, vol. 169, pp. 310-332, 2015.

     [15]      P.K. Dey, G.L. Yang, C. Malesios, D. De, and K. Evangelinos, "Performance management of supply chain sustainability in small and medium-sized enterprises using a combined structural equation modelling and data envelopment analysis," Computational Economics, pp. 1-41, 2019.

     [16]      A. Karimi, S. Jafarzadeh-Ghoushchi, & M.A.Mohtadi-Bonab,"Presenting a new model for performance measurement of the sustainable supply chain of Shoa Panjereh Company in different provinces of Iran (case study)", International Journal of System Assurance Engineering and Management, vol. 11, no. 2, pp. 140-154, 2020.

     [17]      T. Samavati, T. Badiezadeh, R. Farzipoor Saen, "Developing Double Frontier Version of Dynamic Network DEA Model: Assessing Sustainability of Supply Chains", Decision Sciences, vol. 51, no. 3, pp. 1-26, 2020.

     [18]      R. Mousavizadeh, M. Navabakhsh and A. Hafezalkotob, "Cost-efficiency measurement for two-stage DEA network using game approach: an application to electrical network in Iran," Sādhanā, vol. 45, no. 1, pp. 1-14, 2020.

     [19]      N. Pachar, J.D. Darbari, K. Govindan, and P.C. Jha, "Sustainable performance measurement of Indian retail chain using two-stage network DEA", Annals of Operations Research, pp. 1-39, 2021.

     [20]      J.-Sharahi, S., Khalili-Damghani, K., Abtahi, AR. et al, "A new network data envelopment analysis models to measure the efficiency of natural gas supply chain", Operational Research, vol. 21, pp. 1461-1486, 2021.

     [21]      I. Nishizaki, T. Hayashida, S. Sekizaki, J. Okabe, "Data envelopment analysis approaches for two-level production and distribution planning problems", European Journal of Operational Research, In Press, 2021.

     [22]      P.K. Dey, G.L. Yang, C. Malesios, D. De, and K. Evangelinos, "Performance management of supply chain sustainability in small and medium-sized enterprises using a combined structural equation modelling and data envelopment analysis", Computational Economics, vol. 58, no. 3, pp. 573-613, 2021.

     [23]      Y.T. İç, and M. Yurdakul, "Development of a new trapezoidal fuzzy AHP-TOPSIS hybrid approach for manufacturing firm performance measurement", Granular Computing, vol. 6, no. 5, pp. 915–929, 2021.

     [24]      M. Jahani Sayyad Noveiri, S.Kordrostami, "Sustainability assessment using a fuzzy DEA aggregation approach: a healthcare application", Soft Computing, 25, vol. 25, pp. 10829–10849, 2021.

     [25]      F. Ebrahimi, R.F. Saen and B. Karimi, "Assessing the sustainability of supply chains by dynamic network data envelopment analysis: a SCOR-based framework," Environmental Science and Pollution Research, pp. 1-29, 2021.

     [26]      Y.H. Liang, "Performance measurement of interorganizational information systems in the supply chain" International Journal of Production Research, vol. 53, no. 18, pp. 5484-5499, 2015.

     [27]      M.A. Sellitto, G.M. Pereira, M. Borchardt, R.I. da Silva, and C.V. Viegas, "A SCOR-based model for supply chain performance measurement: application in the footwear industry", International Journal of Production Research, vol. 53, no. 16, pp. 4917-4926, 2015.

     [28]      S. Pratap, Y. Daultani, A. Dwivedi, and F. Zhou, "Supplier selection and evaluation in e-commerce enterprises: a data envelopment analysis approach", Benchmarking An International Journal, vol. ahead-of-print, no. ahead-of-print, 2021.

     [29]      N. Pachar, J.D. Darbari, K. Govindan and P.C. Jha, "Sustainable performance measurement of Indian retail chain using two-stage network DEA", Annals of Operations Research, pp. 1-39, 2021.

     [30]      A.W.W. Dametew, F. Ebinger, and B. Beshah, "The Roles of Supply Chain Performance Measurement on Manufacturing Firms", Global Journal of Technology & Optimization, vol. 9, no. 1, pp. 1-9, 2018.

     [31]      M. Saeedi Mehrabad, A. Aazami, A. Goli, "A location-allocation model in the multi-level supply chain with multi-objective evolutionary approach", Journal of Industrial and Systems Engineering, vol. 10, no. 3, pp. 140-160, 2017.

     [32]      R.D. Banker, H. Chang and W.W. Cooper, "A simulation study of DEA and parametric frontier models in the presence of heteroscedasticity", European Journal of Operational Research, vol. 153, no. 3, pp. 624-640, 2004.

     [33]      T. Samavati, T. Badiezadeh and R.F. Saen, "Developing double frontier version of dynamic network DEA model: Assessing sustainability of supply chains," Decision Sciences, vol. 51, no. 3, pp. 804-829, 2020.

     [34]      F.T.S. Chan and H.J. Qi, "Feasibility of performance measurement system for supply chain: a process‐based approach and measures", Integrated manufacturing systems, vol. 14, no. 3, pp. 179-190, 2003.

     [35]      C. Rafele, "Logistic service measurement: a reference framework", Journal of manufacturing technology management, vol. 15, no. 3, pp. 280-290, 2004.

     [36]      U. Okongwu, M. Lauras, J. François and J.C. Deschamps, "Impact of the integration of tactical supply chain planning determinants on performance", Journal of Manufacturing Systems, vol. 38, pp.181-194, 2016.

     [37]      P. Guo and H. Tanaka, "Fuzzy DEA: a perceptual evaluation method", Fuzzy sets and systems, vol. 119, no. 1, pp. 149-160, 2001.

     [38]      L. Liang, F. Yang, W.D. Cook and J. Zhu, "DEA models for supply chain efficiency evaluation," Annals of operations research, vol. 145, no. 1, pp. 35-49, 2006.

     [39]      Y. Chen, L. Liang and F. Yang, "A DEA game model approach to supply chain efficiency," Annals of Operations Research, vol. 145, no. 1, pp. 5-13, 2006.

     [40]      D. Li, and C. O'Brien, "Integrated decision modelling of supply chain efficiency," International Journal of Production Economics, vol. 59, no. 1-3, pp. 147-157, 1999.

     [41]      Y.D. Hwang, Y.C. Lin and J. Lyu Jr, "The performance evaluation of SCOR sourcing process—The case study of Taiwan's TFT-LCD industry," International journal of production economics, vol. 115, no. 2, pp. 411-423, 2008.

     [42]      L. Easton, D.J. Murphy and J.N. Pearson, "Purchasing performance evaluation: with data envelopment analysis," European Journal of Purchasing & Supply Management, vol. 8, no. 3, pp. 123-134, 2002.

     [43]      M. Kojima, K. Nakashima and K. Ohno, "Performance evaluation of SCM in JIT environment," International Journal of Production Economics, vol. 115, no. 2, pp. 439-443, 2008.

     [44]      S. Ramzi, "Modeling the Education Supply Chain with Network DEA Model: The Case of Tunisia", Journal of Quantitative Economics, vol. 17, no. 3, pp. 525-540, 2019.

     [45]      A. Gunasekaran, C. Patel and R.E. McGaughey, "A framework for supply chain performance measurement," International journal of production economics, vol. 87, no. 3, pp. 333-347, 2004.

     [46]      S.H. Huan, S.K. Sheoran and G. Wang, "A review and analysis of supply chain operations reference (SCOR) model," Supply chain management, vol. 9, no. 1, pp. 23-29, 2004.

     [47]      F.T. Chan, "Performance measurement in a supply chain," The international journal of advanced manufacturing technology, vol. 21, no. 7, pp. 534-548, 2003.

     [48]      F.T. Chan and H.J. Qi, "An innovative performance measurement method for supply chain management," Supply chain management, vol. 8, no. 3, pp. 209-223, 2003.

     [49]      W.P. Wong and K.Y. Wong, "Supply chain performance measurement system using DEA modeling," Industrial management & data systems, vol. 107, no. 3, pp. 361-381, 2007.

     [50]      D. Estampe, S. Lamouri, J.L. Paris and S. Brahim-Djelloul, "A framework for analysing supply chain performance evaluation models," International Journal of Production Economics, vol. 142, no. 2, pp. 247-258, 2013.

     [51]      M. Comelli, P. Féniès and N. Tchernev, "A combined financial and physical flows evaluation for logistic process and tactical production planning: Application in a company supply chain," International journal of production economics, vol. 112, no. 1, pp. 77-95, 2008.

     [52]      A. Gunasekaran and E.W. Ngai, "Modeling and analysis of build-to-order supply chains," European Journal of Operational Research, vol. 195, no. 2, pp. 319-334, 2009.

     [53]      K. Govindan, H. Soleimani and D. Kannan, "Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future," European journal of operational research, vol. 240, no. 3, pp. 603-626, 2015.

     [54]      M.J. Farrell, "The measurement of productive efficiency," Journal of the Royal Statistical Society: Series A (General), vol. 120, no. 3, pp. 253-281, 1957.

     [55]      R. Jagadesh, "Performance Assessment of Global Supply Chains and Moving Towards Optimization of Efforts and Challenges," International Journal of Recent Advances in Organizational Behaviour and Decision Sciences, vol. 1, no. 3, pp. 1-17, 2015.

     [56]      A.K. Sangaiah, E.B. Tirkolaee,A. Goli, S. Dehnavi-Arani, "Robust optimization and  mixed-integer linear programming model for LNG supply chain planning problem",       Soft computing, vol. 24, no. 1, pp. 7885–7905, 2020.

     [57]      J. Kiyani and M.  Mohammad Jafari., "Designing the Overall Performance Index of Supply Chain A Production Workshop Based on the Supply Chain Operations Reference Model and Analytical Hierarchy Model," 2th International Management Conference and Industrial Engineering, Tehran, Iran, 2015.

     [58]      S.D. Aydın, S.H. Eryuruk and F. Kalaoğlu, "Evaluation of the performance attributes of retailers using the scor model and AHP: a case study in the Turkish clothing industry," Fibres & Textiles in Eastern Europe, vol. 22, no. 5, pp. 14-19, 2014.

     [59]      K.M. Lavassani and B. Movahedi, "Firm-Level Analysis of Global Supply Chain Network: Role of Centrality on Firm’s Performance," International Journal of Global Business and Competitiveness, pp. 1-18, 2021.

     [60]      R. Saberizonouziasl, and T. Hasanzadeh, "Supply Chain Performance Evaluation of Urban Management Based on 137 of a Tehran Municipality Model SCOR," 2th National Conference on Applied Research in Civil Engineering, Architecture and Urban Management, 2013.

     [61]      Y. Daultani, A. Dwivedi, and S. Pratap, "Benchmarking higher education institutes using data envelopment analysis: capturing perceptions of prospective engineering students", OPSEARCH, pp. 1-17, 2021.

     [62]      B. Bigliardi and E. Bottani, "Performance measurement in the food supply chain: a balanced scorecard approach", Facilities, vol. 28, no. 5/6, pp. 249-260, 2010.

     [63]      C. Bai, J. Sarkis, X. Wei and L. Koh, "Evaluating ecological sustainable performance measures for supply chain management", Supply Chain Management, vol. 17, no. 1, pp. 78-92, 2012.

     [64]      J. Gerami, R.K. Mavi, R.F. Saen and N.K. Mavi, "A novel network DEA-R model for evaluating hospital services supply chain performance", Annals of Operations Research, pp. 1-26, 2020.

     [65]      A. Chia, M. Goh and S.H. Hum, "Performance measurement in supply chain entities: balanced scorecard perspective", Benchmarking: An International Journal, vol. 16, no. 5, pp. 605-620, 2009.

     [66]      E. Ayyildiz, and A.T. Gumus, "Interval-valued Pythagorean fuzzy AHP method-based supply chain performance evaluation by a new extension of SCOR model: SCOR 4.0", Complex & Intelligent Systems, vol. 7, no. 1, pp. 559-576, 2021.

     [67]      F.T. Chan, A. Nayak, R. Raj, A.Y.L. Chong and T. Manoj, "An innovative supply chain performance measurement system incorporating research and development (R&D) and marketing policy", Computers & Industrial Engineering, vol. 69, pp. 64-70, 2014.

     [68]      C. Kao, "Dynamic data envelopment analysis: A relational analysis," European Journal of Operational Research, vol. 227, no. 2, pp. 325-330, 2013.

     [69]      J. Jondrow, C.K. Lovell, I.S. Materov and P. Schmidt, "On the estimation of technical inefficiency in the stochastic frontier production function model", Journal of econometrics, vol. 19, no. 2-3, pp. 233-238, 1982.

     [70]       K. Kalirajan, "On Measuring Absolute Technical and Allocative Efficiencies", Sankhyā: The Indian Journal of Statistics, Series B, 47, no. 3, pp. 385–400, 1985.

 
آمار
تعداد مشاهده مقاله: 337
تعداد دریافت فایل اصل مقاله: 352


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب