Yiyecek-İçecek İşletmelerinde Tedarik Zinciri Yönetimi Scor Model’nin Uygulanabilirliğine Yönelik Bir Araştırma

Year 2017, Issue: 34, 85 - 100, 31.12.2017

Mehmet Sarıoğlan

Abstract

Günümüzde küreselleşme olgusunun sınırları ortadan kaldırması ile birlikte rekabet koşulları işletme faaliyetlerinin sürdürülebilirliğini daha da zorlamaya başlamıştır. Küreselleşme sonucu artan rekabetin etkisi ile birlikte işletmeler üretim sürecinde farklı yöntemler aramaya yönelmişlerdir. Bu yöntemlerden en önemlilerinden biriside tedarikçi zinciri yönetimidir. Nitekim doğru tedarik zinciri yönetimi, işletmelerin rekabet gücünü arttırmakla birlikte maliyetlerinin düşürülmesine ve müşteri memnuniyetlerinin artmasını sağlayabilmektedir. Tedarik zinciri yönetimi, işletmelerin üretim süreçlerinde etkinliği arttırmakla birlikte göz ardı edilen belirsizliklerin kontrol altına alınması ile etkinlik sorunlarını da bertaraf edilebilecektir. Bunun ise en önemli yolu olarak tedarik zinciri yönetimi kapsamında SCOR modelinin uygulanması olduğu ifade edilebilinmektedir. Bu veriler ışığında yiyecek-İçecek işletmelerinde tedarik zinciri yönetimi kapsamında SCOR modelinin etkin şekilde uygulanabilirliğine yönelik nicel bir alan çalışması gerçekleştirilmiştir. Alan araştırması, Türkiye’de, büyük bir çoğunluğu şehir ünvanı almış şehirlerde, faaliyet gösteren 917 yiyecek-içecek işletmeleriyle yapılmıştır. Alan araştırması sonucunda yiyecek-içecek işletmelerine tedarik zinciri yönetimi kapsamında SCOR modelin uygulanabilirliği ve uygulanabilirliğin sağlanması durumunda verimlilik düzeyinde kayda değer artışlar sağlanabileceği bulgularına ulaşılmıştır.

Keywords

Yiyecek-İçecek İşletmeleri, Tedarikçi Zinciri Yönetimi, SCOR ModelYiyecek-İçecek İşletmeleri, SCOR Model

A Study Concerning the Applicability of Supply Chain Management Scor Model in Food and Beverage Enterprises

Abstract

Conditions of competition has begun to force the sustainability of the enterprise activities further when the limits of the globalisation phenomenon were eliminated at the present time. Enterprises have tended towards embarking the different methods together with an impression of competitiveness which raised because of the globalisation. One of the foremost method is the supply chain management. Thus, a proper supply chain management not only provides the customer satisfaction but also decreases the costs by raising the competitiveness of enterprises. Supply Chain Management will be able to eliminate the activity problems by getting the ignored uncertainties under control together with increasing the effectiveness of the production process of enterprises. It can be stated that the best way is to applicate the Scor method within the scope of supply chain management. In absolute terms, a quantitive field research has been conducted towards the applicability of the Scor model within Supply Chain Management effectively in Food and Beverage Enterprises. The field research has been conducted with 917 food and beverage enterprises which located in cities that majorly got “City” title As a result of the field research, in case the Scor model is used in Food and Beverage enterprises within the scope of supply chain management, the productivity level of enterprises increases significantly.

Keywords

Food & Beverage Enterprises, Supply Chain Management, SCOR Method

References

• Agrawal, N., and Smith S.A. (2015). Retail Supply Chain Management Quantitative Model and Emprical, Springer Press, USA.
• Akbari, M.S., and Sajadieh, M.S. (2010). Analyzing The Supply Chain Using SCOR Model in A Steel Producing Company, Computers and Industrial Engineering (CIE), 2010 40th International Conference on (25-28 July 2010), 1-6.
• Albayrakoğlu, Pelin. (2006). İkram Servis İşletmelerinde Tedarik Zinciri Yönetimi ve Usaş Örneği, Marmara Üniversitesi Sosyal Bilimler Enstitüsü, Yayınlanmamış Yüksek Lisans Tezi, İstanbul.
• Asgari, N., Nikbakhsh E., Hill A., and Farahani, R.Z. (2016). Supply Chain Management 1982-2015: A Review, Published by Oxford Press.
• Avcıkurt, C., Köroğlu, A., Doğdubay, M., ve Sarıoğlan, M. (2010), Analysis for Applicability of Supplier Selection Techniques in Hotel Business, According to Operation of Supply Chain Management, VIII. International Logistics and Supply Chain Congress (4-5 November 2010), İstanbul, p. 262-271.
• Banerjee, M. and Mishra, M. (2017). Retail Supply Chain Management Practices in India: A Business Intelligence Perspective, Journal of Retailing and Consumer Services, 34(1), 248-259.
• Barnett, M.W., and Miller, C. (2000). Analysis of The Virtual Enterprise Using Distributed Supply Chain Modeling and Simulation: An Application of e-SCOR, Proceedings of 32nd Conference on Winter Simulation, 352-355.
• Barney, J.B. (2012). Purchasing, Supply Chain Management and Sustained Competitive Advantage: The Relevance of Resource-Based Theory, Journal of Supply Chain Management, 48(2), 3-6.
• Bolstorff, P., and Rosenbaum, R. (2007). Supply Chain Excellence A Handbook For Dramatic Improvement Using The SCOR Model, American Management Association (AMACOM), Newyork-USA.
• Büyüközkan, G. (2010), Yeşil Tedarik Zinciri Yönetimi ve Yeşil SCOR Modeli, Lojistik Dergisi, İstanbul, 12.
• Chandra, C., and Grabis J. (2016). Scope of Supply Chain Configuration Problem, Supply Chain Configuration, Springer Publishing, Newyork.
• Desodt, J., and Rabenasolo, B. (2006). Benchmarking of The Textile Garment Supply Chain Using The SCOR Model, Proceeding of Service Systems and Service Management, 1427-1432.
• Dey, D., and Sinha, D. (2016). System Dynamics Simulation of A Supply Chain Intelligence Model, Innovation Solutions for Implementing Global Supply Chains in Emerging Markets, British Cataloguing Publication, 71-84.
• Dwivedi, A. (2016). Innovative Solutions for Implementing Global Supply Chains in Emerging Markets, Advances in Logistics, Operations and Management Science (ALOMS) Book Series. Georgise, F.B., Thoben, K.D., and Seifert, M. (2013). Implementing the SCOR Model Best Practices for Supply Chain Improvement in Developing Countries, International Journal of u- and e- Service, Science and Technology, 6(4), 13-26 Georgise, F.B., Thoben, K.D., and Seifert, M. (2012). A Framework of the Forces Influencing the Adaptation of the SCOR Model to the Situation of the Manufacturing Industry in Developing Countries Dynamics in Logistics, Third International Conference, LDIC 2012 Bremen, Germany, (2012) February-March Proceedings, Lecture Notes in Logistics, 477-487.
• Huang, L. (2012). Strategies on the Chinese Agricultural Supply Chains Management Based on the SCOR-Model in the E-Commerce Environment, American Scientific Publishers, 10(1/2), 269-378.
• Huang, S.H., Sheoran, S.K., and Keskar, H. (2005). Computer-Assisted Supply Chain Configuration Based on Supply Chain Operation Reference (SCOR) Model, Computer&Industrial Engineering, 48(2), 377-394.
• Jaime, A. and Mendoza, P. (2014). Analytical Hierarchy Process and SCOR Model to Support Supply Chain Re-Design, International Journal of Information Management, 34(5), 634-638.
• Kaplan, A., İlban, M.O., ve Bezirgan, M. (2016). Yiyecek İçecek İşletmelerinde Yöneticilerin Liderlik Davranış Tarzlarının Çalışanların Örgütsel Bağlılıklarına Etkisi: Edremit Körfezi Örneği, 15. Geleneksel Turizm Sempozyumu (22 Nisan 216), Balıkesir.
• Kasi, V. (2005). Systemic Assessment of SCOR for Modeling Supply Chains, Proceedings of The 38th Annual Hawaii International Conference (3-6 Jan 2006), 87b.
• Lee, T., and Nam, H. (2016). An Empirical Study on the Impact of Individual and Organizational Supply Chain Orientation on Supply Chain Management, The Asian Journal of Shipping and Logistics, 32(4), 249-255.
• Leong, W.T. (2015), Principles of Supply Chain Management, Cengage Learning Press, USA.
• Li, l., Su, Qin, and Chen, X. (2010). Ensuring Supply Chain Quality Performance Through Appling The SCOR Model, International Journal of Production Research, 49(1), 33-57.
• Lima-Junior, F.R., and Carpinetti, L.C.R. (2016). Combining SCOR Model and Fuzzy TOPSIS for Supplier Evaluation and Management, International Journal of Production Economics, 174(1), 128-141.
• Lin, J.T., Chen, T.L., Tsai, T., and Huang, T.C. (2005). A SCOR-Based Methodology For Analyzing and Designing Supply Chain, International Journal of Electronic Management, 3(1), 1-7.
• Martinelli, C.D., Riane, F. and Guinet, A. (2009). A Porter-SCOR Modelling Approach for The Hospital Supply Chain, International Journal Logistics System and Management, 5(3/4), 436-456.
• Monczka, R.M., Handfield, R.B., Giunipero, L.C., and Patterson, J.L. (2015). Purchasing and Supply Chain Management, Cengage Learning Press, USA.
• Ntabe, E.N., Lebel, L., Munson, A.D., and Santa Eulalia, L.A. (2015). Review: A Systematic Literature Review of The Supply Chain Operations Reference (SCOR) Model Application With Special Attention To Environmental Issues, In International Journal of Production Economics November-2015 169:310-332.
• Peng, L., Huang, S.H., Mokasdar, A., Zhou, H., and Hou, L. (2014). The Impact of Additive Manufacturing in The Aircraft Spare Parts Supply Chain: Supply Chain Operation Reference (SCOR) Model Based Analysis, Production Planning & Control: The Management of Operations, 25(13/14), 1169-1181.
• Persson, F., and Araldi, M. (2009). The Development of Dynamic Supply Chain Analysis Tool-Integration of SCOR and Discrete Event Simulation, International Journal of Production Economics, 121(2), 574-583.
• Persson, F. (2008). SCOR Template-A Simulation Based Dynamic Supply Chain Analysis Tool, International Journal of Production Economics, 131(1), 288-294. Poluha, R.G. (2007). Application of The SCOR Model in Supply Chain Management, Cambria Press, Newyork-USA.
• Ponis, S.T., and Ntalla, A.C. (2016). Supply Chain Risk Management Frameworks and Models: A Review, International Journal of Supply Chain Managemet (IJSCM), 5(4), 1-11
• Ren, C., Dong, J., Ding, H. and Wang, W. (2006). A SCOR-Based Framework for Supply Chain Performance Management, Proceeding of Service Operations and Logistics, Informatic 06 International Conference (21-23 June 2006), 1130-1135.
• Savoni, M.M., and Nuebert, G. (2007). A Faster Enterprise Resources Planning İmplementation For Euro Coin Supply Chain Within The SCOR Model, International Journal of Integrated Supply Management, 3(4), 385-405.
• Schönsleben, P. (2016). Integral Logistics Management Operations and Supply Chain Menegement Within and Across Companies, CRC Press-Taylor&Francis Group, Newyork.
• Sharma, V.K., Chandna P., and Bhardwaj, A. (2017). Green Supply Chain Management Related Performance Indicators in Agro Industry: A Review, Journal of Cleaner Production, 141(10), 1194-1208.
• Shekerian, H. Dehnavi, H.D., and Shateri, F. (2016). A Framework for the Implementation of Knowledge Management in Supply Chain Management, Procedia-Social and Behavioral Sciences, 230(1), 176-183.
• Supply Chain Council (SCC). (2008). Supply Chain Operations Reference Model, Overview of SCOR Model Version 9.0, Washington DC & Amsterdam, 1-24.
• Stewart, G. (1997). Supply-Cahin Operations Reference Model (SCOR): The First Cross-Industry Framework For Integrated Supply-Chain Management, Journal of Enterprise Information Management, 10(2), 62-67.
• Tarman, A.M. (2011). Tedarik Zinciri Yönetiminde SCOR Modeli, Okan Üniversitesi Sosyal Bilimler Enstitüsü Yayınlanmamış Yüksek Lisans Tezi, İstanbul. Torul, Y., ve Kalender, F. (2014). Tedarik Zinciri Yönetiminde Scor Modelin Dcor Ve Ccor Model ile Genişletilmesi ve Mobilya Sektöründe Bir Uygulama, Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 30(4), 264-274.
• Wang, W.Y.C., Chan, H.K. Pand auleen, D.J. (2010). Aligning Business Process Reengineering in Implementing Global Supply Chain System by The SCOR Model, International Journal of Production Research, 48(19), 5647-5669.
• Zangoueinezhad, A., Azar, A. and Kazazi, A. (2011). Using SCOR Model With Fuzzy MCDM Approach To Assess Competitiveness Positioning of Supply Chains: Focus on Shipbuilding Supply Chains, Maritime Policy & Management: The Flagship Journal of International Shipping And Port Research, 38(1), 93-109.
• Zhou, H., Benton, W.C., Schiiling, D.A., and Willigan G.W. (2011). Supply Chain Integration and SCOR Model, Journal of Business Logistics, 32(4), 332-34