قياس اداء سلسلة التوريد الغذائي في المنظمات الصناعية الليبية باستخدام بطاقة الاداء المتوازن

Wong, W. P. (2009). Performance evaluation of supply chain in stochastic environment: Using a simulation based DEA framework. International Journal of Business Performance and Supply Chain Modelling, 1(2–3), 203–228. https://doi.org/10.1504/IJBPSCM.2009.030642 DOI: https://doi.org/10.1504/IJBPSCM.2009.030642

Lambert, D. M., & Pohlen, T. L. (2001). Supply Chain Metrics. The International Journal of Logistics Management, 12(1), 1–19. https://doi.org/10.1108/09574090110806190 DOI: https://doi.org/10.1108/09574090110806190

Cai, J., Liu, X., Xiao, Z., & Liu, J. (2009). Improving supply chain performance management: A systematic approach to analyzing iterative KPI accomplishment. Decision Support Systems, 46(2), 512–521. https://doi.org/10.1016/j.dss.2008.09.004 DOI: https://doi.org/10.1016/j.dss.2008.09.004

Sharma, J., Tyagi, M., & Bhardwaj, A. (2020). Parametric review of food supply chain performance implications under different aspects. Journal of Advances in Management Research, 17(3), 421–453. https://doi.org/10.1108/JAMR-10-2019-0193 DOI: https://doi.org/10.1108/JAMR-10-2019-0193

Yontar, E., & Süleyman, E. (2020). Investigation of food supply chain sustainability performance for Turkey’s food sector. Frontiers in Sustainable Food Systems, 4(June), 68. https://doi.org/10.3389/fsufs.2020.00068 DOI: https://doi.org/10.3389/fsufs.2020.00068

Li, S., Ragu-Nathan, B., Ragu-Nathan, T. S., & Subba Rao, S. (2006). The impact of supply chain management practices on competitive advantage and organizational performance. Omega, 34(2), 107–124. https://doi.org/10.1016/j.omega.2004.08.002 DOI: https://doi.org/10.1016/j.omega.2004.08.002

Reddy. K, J. M., Rao. A, N., & L, Krishnanand. (2019). A review on supply chain performance measurement systems. Procedia Manufacturing, 30, 40–47. https://doi.org/10.1016/j.promfg.2019.02.007 DOI: https://doi.org/10.1016/j.promfg.2019.02.007

Mishra, D., Gunasekaran, A., Papadopoulos, T., & Dubey, R. (2018). Supply chain performance measures and metrics: A bibliometric study. Benchmarking: An International Journal, 25(3), 932–967. https://doi.org/10.1108/BIJ-08-2017-0224 DOI: https://doi.org/10.1108/BIJ-08-2017-0224

Mathiyalagan, P., Mannan, K., & Parthiban, P. (2014). Performance evaluation in supply chain using balanced scorecard. International Journal of Advances in Mechanical & Automobile Engineering (IJAMAE), 1(1), 4–10.

Azfar, K. R. W., Khan, N., & Gabriel, H. F. (2014). Performance Measurement: A Conceptual Framework for Supply Chain Practices. Procedia - Social and Behavioral Sciences, 150, 803–812. https://doi.org/10.1016/j.sbspro.2014.09.089 DOI: https://doi.org/10.1016/j.sbspro.2014.09.089

knoema. (2018). Libya Food production index, 1960-2020. Retrieved June 12, 2021, from Knoema website: https://knoema.com//atlas/Libya/Food-production-index

Gunasekaran, A., Patel, C., & Tirtiroglu, E. (2001). Performance measures and metrics in a supply chain environment. International Journal of Operations & Production Management, 21(1/2), 71–87. https://doi.org/10.1108/01443570110358468 DOI: https://doi.org/10.1108/01443570110358468

Gunasekaran, A., Patel, C., & McGaughey, R. E. (2004). A framework for supply chain performance measurement. International Journal of Production Economics, 87(3), 333–347. https://doi.org/10.1016/j.ijpe.2003.08.003 DOI: https://doi.org/10.1016/j.ijpe.2003.08.003

Gaiardelli, P., Saccani, N., & Songini, L. (2007). Performance measurement of the after-sales service network—Evidence from the automotive industry. Computers in Industry, 58(7), 698–708. https://doi.org/10.1016/j.compind.2007.05.008 DOI: https://doi.org/10.1016/j.compind.2007.05.008

Bhagwat, R., & Sharma, M. K. (2007). Performance measurement of supply chain management using the analytical hierarchy process. Production Planning & Control, 18(8), 666–680. https://doi.org/10.1080/09537280701614407 DOI: https://doi.org/10.1080/09537280701614407

Zhou, H., & Benton, W. C. (2007). Supply chain practice and information sharing. Journal of Operations Management, 25(6), 1348–1365. https://doi.org/10.1016/j.jom.2007.01.009 DOI: https://doi.org/10.1016/j.jom.2007.01.009

Maestrini, V., Luzzini, D., Maccarrone, P., & Caniato, F. (2017). Supply chain performance measurement systems: A systematic review and research agenda. International Journal of Production Economics, 183, 299–315. https://doi.org/10.1016/j.ijpe.2016.11.005 DOI: https://doi.org/10.1016/j.ijpe.2016.11.005

Qazi, A., Dickson, A., Quigley, J., & Gaudenzi, B. (2018). Supply chain risk network management: A Bayesian belief network and expected utility based approach for managing supply chain risks. International Journal of Production Economics, 196, 24–42. https://doi.org/10.1016/j.ijpe.2017.11.008 DOI: https://doi.org/10.1016/j.ijpe.2017.11.008

Venkatesh, V. G., Zhang, A., Deakins, E., Luthra, S., & Mangla, S. (2019). A fuzzy AHP-TOPSIS approach to supply partner selection in continuous aid humanitarian supply chains. Annals of Operations Research, 283(1), 1517–1550. https://doi.org/10.1007/s10479-018-2981-1 DOI: https://doi.org/10.1007/s10479-018-2981-1

Kirwan, J., Maye, D., & Brunori, G. (2017). Acknowledging complexity in food supply chains when assessing their performance and sustainability. Journal of Rural Studies, 52, 21–32. https://doi.org/10.1016/j.jrurstud.2017.03.008 DOI: https://doi.org/10.1016/j.jrurstud.2017.03.008

Govindan, K., Mangla, S. K., & Luthra, S. (2017). Prioritising indicators in improving supply chain performance using fuzzy AHP: Insights from the case example of four Indian manufacturing companies. Production Planning & Control, 28(6–8), 552–573. https://doi.org/10.1080/09537287.2017.1309716 DOI: https://doi.org/10.1080/09537287.2017.1309716

Yadav, S., Garg, D., & Luthra, S. (2020). Development of IoT based data-driven agriculture supply chain performance measurement framework. Journal of Enterprise Information Management, 34(1), 292–327. https://doi.org/10.1108/JEIM-11-2019-0369 DOI: https://doi.org/10.1108/JEIM-11-2019-0369

Lin, L.-C., & Li, T.-S. (2010). An integrated framework for supply chain performance measurement using six-sigma metrics. Software Quality Journal, 18(3), 387–406. https://doi.org/10.1007/s11219-010-9099-2 DOI: https://doi.org/10.1007/s11219-010-9099-2

Kaplan, R. S., & Norton, D. P. (1992, January 1). The Balanced Scorecard—Measures that Drive Performance. Harvard Business Review, (January–February 1992), 71–79.

Varma, S., Wadhwa, S., & Deshmukh, S. G. (2008). Evaluating petroleum supply chain performance: Application of analytical hierarchy process to balanced scorecard. Asia Pacific Journal of Marketing and Logistics, 20(3), 343–356. https://doi.org/10.1108/13555850810890093 DOI: https://doi.org/10.1108/13555850810890093

Bigliardi, B., & Bottani, E. (2010). Performance measurement in the food supply chain: A balanced scorecard approach. Facilities, 28(5/6), 249–260. https://doi.org/10.1108/02632771011031493 DOI: https://doi.org/10.1108/02632771011031493

Yang, J. (2009). Integrative performance evaluation for supply chain system based on logarithm triangular fuzzy number‐AHP method. Kybernetes, 38(10), 1760–1770. https://doi.org/10.1108/03684920910994277 DOI: https://doi.org/10.1108/03684920910994277

Xia, D., Yu, Q., Gao, Q., & Cheng, G. (2017). Sustainable technology selection decision-making model for enterprise in supply chain: Based on a modified strategic balanced scorecard. Journal of Cleaner Production, 141, 1337–1348. https://doi.org/10.1016/j.jclepro.2016.09.083 DOI: https://doi.org/10.1016/j.jclepro.2016.09.083

Rasolofo-Distler, F., & Distler, F. (2018). Using the balanced scorecard to manage service supply chain uncertainty: Case studies in French real estate services. Knowledge and Process Management, 25(3), 129–142. https://doi.org/10.1002/kpm.1572 DOI: https://doi.org/10.1002/kpm.1572

Thanki, S., & Thakkar, J. (2018). A quantitative framework for lean and green assessment of supply chain performance. International Journal of Productivity and Performance Management, 67(2), 366–400. https://doi.org/10.1108/IJPPM-09-2016-0215 DOI: https://doi.org/10.1108/IJPPM-09-2016-0215

Dwivedi, R., Prasad, K., Mandal, N., Singh, S., Vardhan, M., & Pamucar, D. (2021). Performance evaluation of an insurance company using an integrated Balanced Scorecard (BSC) and Best-Worst Method (BWM). Decision Making: Applications in Management and Engineering, 4(1), 33–50. https://doi.org/10.31181/dmame2104033d DOI: https://doi.org/10.31181/dmame2104033d

Peng Wong, W., & Yew Wong, K. (2008). A review on benchmarking of supply chain performance measures. Benchmarking: An International Journal, 15(1), 25–51. https://doi.org/10.1108/14635770810854335 DOI: https://doi.org/10.1108/14635770810854335

Thakkar, J., Kanda, A., & Deshmukh, S. G. (2009). Supply chain performance measurement framework for small and medium scale enterprises. Benchmarking: An International Journal, 16(5), 702–723. https://doi.org/10.1108/14635770910987878 DOI: https://doi.org/10.1108/14635770910987878

Essajide, L., & Ali, R. (2017). Planning and Modelling of Pharmaceuticals Wholesale-Distributors Supply Chain Using SCOR Model: A Moroccan Case Study (SSRN Scholarly Paper No. ID 2947573). Rochester, NY: Social Science Research Network. Retrieved from Social Science Research Network website: https://papers.ssrn.com/abstract=2947573

Zuniga, R., Icarte, G., Griffiths, J., Lopez, J., & Quezada, J. (2018). Modeling of Critical Products Supply Chain Required to Affected People on Earthquakes and Tsunamis Through Use of SCOR Model. In M. Freitag, H. Kotzab, & J. Pannek (Eds.), Dynamics in Logistics (pp. 53–57). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-74225-0_7 DOI: https://doi.org/10.1007/978-3-319-74225-0_7

Bhagwat, Rajat, & Sharma, M. K. (2009). An application of the integrated AHP-PGP model for performance measurement of supply chain management. Production Planning & Control, 20(8), 678–690. https://doi.org/10.1080/09537280903069897 DOI: https://doi.org/10.1080/09537280903069897

Sufiyan, M., Haleem, A., Khan, S., & Khan, M. I. (2019). Evaluating food supply chain performance using hybrid fuzzy MCDM technique. Sustainable Production and Consumption, 20, 40–57. https://doi.org/10.1016/j.spc.2019.03.004 DOI: https://doi.org/10.1016/j.spc.2019.03.004

Dey, P. K., & Cheffi, W. (2013). Green supply chain performance measurement using the analytic hierarchy process: A comparative analysis of manufacturing organisations. Production Planning & Control, 24(8–9), 702–720. https://doi.org/10.1080/09537287.2012.666859 DOI: https://doi.org/10.1080/09537287.2012.666859