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HYBRID ANALTYIC SIMULATION APPROACH FOR PRODUCTION PLANNING PROBLEM WITHIN SUPPLY CHAIN NETWORK)

Year 2011, Volume: 13 Issue: 3, 63 - 77, 01.09.2011

Abstract

As the industrial environment becomes more competitive, supply chain management (SCM) has
received much more attention in the literature. The supply chain (SC) can be defined as an integrated
structure involving the procurement, production, storage, distribution and control of goods. This
paper addresses the procurement and production planning problem in a supply chain system that
involves the supply of various components from a set of suppliers and production of end products
within the plant. A linear programming model is proposed to describe the problem, where multiple
components can be assembled within a planning horizon. Due to stochastic factors such as unexpected
delays, queuing and machine failure, operation time provided by mathematical model cannot reflect
dynamic characteristic of realworld systems and optimal solution of mathematical model is not
acceptable in practice. Therefore, to explore the behaviour of the real-world system, a hybrid
mathematical-simulation approach is proposed. The applicability and flexibility of the proposed model
and approach are illustrated through an example problem.

References

  • Acar Y., Kadıpaşaoğlu, S. N., Day J. M. (2008): “Incorporating Uncertainty in Optimal Decision Making: Integrating Mixed Integer Programming and Simulation to Solve Combinatorial Problems”, Computers & Industrial Engineering, Cilt 56, No. 1, s. 106- 112.
  • Acar Y., Kadıpaşaoğlu S. N., Schipperijn P. (2010): “A Decision Support Framework for Global Supply Chain Modelling: An Assessment of the Impact of Demand, Supply and Lead-Time Uncertainties on Performance”, International Journal of Production Research, Cilt 48, No. 11, s. 3245-3268.
  • Arshinder K. A., Deshmukh S. G. (2008): “Supply Chain Coordination: Perspectives, Empirical Studies, and Research Directions”, International Journal of Production Economics, Cilt 115, s. 316–335.
  • Bilgen B., Özkarahan I. (2004): “Strategic, Tactical and Operational Production Distribution Models: A Review”. International Journal of Technology Management, Cilt 28, s. 151– 171.
  • Byrne M. D., Bakir M. A. (1999): “Production Planning Using a Hybrid Simulation- Analytical Approach”, International Journal of Production Economics, Cilt 59, No. 1, s. 305-311.
  • Byrne M. D., Hossain M. M. (2005): “Production Planning: An Improved Hybrid Approach”, International Journal of Production Economics, Cilt 93-94, No. 1, s. 225-229
  • Chen Z.L., Pundoor G. (2009), “Integrated order scheduling and packing, Production and Operations Management”, Cilt 18, No.6, s. 672-692.
  • Gnoni, M.G., Iavagnilio, R., Mossa, G., Mummolo, G., ve Lena, A. D. (2003): “Production Planning of a Multi-Site Manufacturing System by Hybrid Modeling: A Case Study From The Automative İndustry”, International Journal Of Production Economics, Cilt 85, No. 2, s. 251-262.
  • Kim B., Kim S. (2001): “Extended Model for Hybrid Production Planning Approach”, International Journal Of Production Economics, Cilt 73, s. 165-173.
  • Ko H. J., Ko C. S., Kim T. (2006): “A Hybrid Optimization/Simulation Approach for a Distribution Network Design of 3PLS”, Computer & Industrial Engineering, Cilt 50, No. 1, s. 440-450.
  • Lee Y. H., Kim S. H., Moon C. (2002): “Production-Distribution Planning in Supply Chain Using a Hybrid Approach”, Production Planning & Control, Cilt 13, No. 1, s. 36-46.
  • Lee Y. H., Kim S. H. (2002): “Production-Distribution Planning in Supply Chain Considering Capacity Constraints, Computers & Industrial Engineering, Cilt 43, No.1-2, s.169-190.
  • Nolan R. L., Sovereign M. G. (1972): “A Recursive Optimization and Simulation Approach to Analysis with an Application to Transportation Systems”, Management Science, Cilt 18, No. 12, s. 679-690.
  • Pegden C. D., Shannon R. E., Sadowski R. P. (1990): “Introduction to Siman”, New Jersey: McGraw-Hill Inc.
  • Peidro D., Mula J., Diaz M. M., Vicens E. (2010): “Mathematical Programming Models for Supply Chain Production and Transport Planning”, European Journal of Operational Research, Cilt 204, s. 377-390.
  • Safaei A. S., Moattar H. S. M., Farahani R. Z., Jolai F., Ghodsypour S. H. (2010). Integrated Multi-Site Production-Distribution Planning in Supply Chain by Hybrid Modeling, International Journal of Production Research, Cilt 48, No.14, s. 4043-4069.
  • Shanthikumar J. G., Sargent R. G. (1983): “A Unifying View of Hybrid Simulation & Analytic Models and Modeling”, Operation Research, Cilt 31, No. 6, s. 1030-1052.

TEDARİK ZİNCİRİ AĞI İÇERİSİNDE ÜRETİM PLANLAMA PROBLEMİ İÇİN MELEZ ANALİTİK/BENZETİM ÇÖZÜM YAKLAŞIMI

Year 2011, Volume: 13 Issue: 3, 63 - 77, 01.09.2011

Abstract

Endüstriyel rekabet arttıkça tedarik zinciri yönetimi literatürde daha fazla önem kazanmaktadır.
Tedarik zinciri yönetimi ürünlerin tedariği, üretilmesi, depolanması, dağıtımı ve kontrolünü içeren
bütünleşik bir yapıdır. Bu makalede tedarikçilerden çeşitli bileşenlerin tedarik edildiği ve fabrikada
nihai ürün üretiminin yapıldığı bir tedarik zinciri sisteminde tedarik ve üretim planlama problemi ele
alınmıştır. Planlama periyodu boyunca bileşenlerin montajının yapıldığı problem için doğrusal bir
matematiksel model geliştirilmiştir. Beklenmedik gecikmeler, makine bozulmaları, makine çalışma
süreleri gibi bazı stokastik faktörlerden dolayı matematiksel modeller gerçek sistemlerin dinamik
karakteristiklerini temsil edemezler. Bu nedenle, gerçek sistemin davranışını ortaya çıkarmak üzere
melez bir matematiksel programlama/benzetim modeli önerilmiştir. Model ve yaklaşımın
uygulanabilirliği bir örnek problem üzerinde gösterilmiştir.

References

  • Acar Y., Kadıpaşaoğlu, S. N., Day J. M. (2008): “Incorporating Uncertainty in Optimal Decision Making: Integrating Mixed Integer Programming and Simulation to Solve Combinatorial Problems”, Computers & Industrial Engineering, Cilt 56, No. 1, s. 106- 112.
  • Acar Y., Kadıpaşaoğlu S. N., Schipperijn P. (2010): “A Decision Support Framework for Global Supply Chain Modelling: An Assessment of the Impact of Demand, Supply and Lead-Time Uncertainties on Performance”, International Journal of Production Research, Cilt 48, No. 11, s. 3245-3268.
  • Arshinder K. A., Deshmukh S. G. (2008): “Supply Chain Coordination: Perspectives, Empirical Studies, and Research Directions”, International Journal of Production Economics, Cilt 115, s. 316–335.
  • Bilgen B., Özkarahan I. (2004): “Strategic, Tactical and Operational Production Distribution Models: A Review”. International Journal of Technology Management, Cilt 28, s. 151– 171.
  • Byrne M. D., Bakir M. A. (1999): “Production Planning Using a Hybrid Simulation- Analytical Approach”, International Journal of Production Economics, Cilt 59, No. 1, s. 305-311.
  • Byrne M. D., Hossain M. M. (2005): “Production Planning: An Improved Hybrid Approach”, International Journal of Production Economics, Cilt 93-94, No. 1, s. 225-229
  • Chen Z.L., Pundoor G. (2009), “Integrated order scheduling and packing, Production and Operations Management”, Cilt 18, No.6, s. 672-692.
  • Gnoni, M.G., Iavagnilio, R., Mossa, G., Mummolo, G., ve Lena, A. D. (2003): “Production Planning of a Multi-Site Manufacturing System by Hybrid Modeling: A Case Study From The Automative İndustry”, International Journal Of Production Economics, Cilt 85, No. 2, s. 251-262.
  • Kim B., Kim S. (2001): “Extended Model for Hybrid Production Planning Approach”, International Journal Of Production Economics, Cilt 73, s. 165-173.
  • Ko H. J., Ko C. S., Kim T. (2006): “A Hybrid Optimization/Simulation Approach for a Distribution Network Design of 3PLS”, Computer & Industrial Engineering, Cilt 50, No. 1, s. 440-450.
  • Lee Y. H., Kim S. H., Moon C. (2002): “Production-Distribution Planning in Supply Chain Using a Hybrid Approach”, Production Planning & Control, Cilt 13, No. 1, s. 36-46.
  • Lee Y. H., Kim S. H. (2002): “Production-Distribution Planning in Supply Chain Considering Capacity Constraints, Computers & Industrial Engineering, Cilt 43, No.1-2, s.169-190.
  • Nolan R. L., Sovereign M. G. (1972): “A Recursive Optimization and Simulation Approach to Analysis with an Application to Transportation Systems”, Management Science, Cilt 18, No. 12, s. 679-690.
  • Pegden C. D., Shannon R. E., Sadowski R. P. (1990): “Introduction to Siman”, New Jersey: McGraw-Hill Inc.
  • Peidro D., Mula J., Diaz M. M., Vicens E. (2010): “Mathematical Programming Models for Supply Chain Production and Transport Planning”, European Journal of Operational Research, Cilt 204, s. 377-390.
  • Safaei A. S., Moattar H. S. M., Farahani R. Z., Jolai F., Ghodsypour S. H. (2010). Integrated Multi-Site Production-Distribution Planning in Supply Chain by Hybrid Modeling, International Journal of Production Research, Cilt 48, No.14, s. 4043-4069.
  • Shanthikumar J. G., Sargent R. G. (1983): “A Unifying View of Hybrid Simulation & Analytic Models and Modeling”, Operation Research, Cilt 31, No. 6, s. 1030-1052.
There are 17 citations in total.

Details

Other ID JA23JU72TU
Journal Section Research Article
Authors

Bilge Bilgen This is me

Cansu Pınar Diksirek This is me

Publication Date September 1, 2011
Published in Issue Year 2011 Volume: 13 Issue: 3

Cite

APA Bilgen, B., & Diksirek, C. P. (2011). TEDARİK ZİNCİRİ AĞI İÇERİSİNDE ÜRETİM PLANLAMA PROBLEMİ İÇİN MELEZ ANALİTİK/BENZETİM ÇÖZÜM YAKLAŞIMI. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen Ve Mühendislik Dergisi, 13(3), 63-77.
AMA Bilgen B, Diksirek CP. TEDARİK ZİNCİRİ AĞI İÇERİSİNDE ÜRETİM PLANLAMA PROBLEMİ İÇİN MELEZ ANALİTİK/BENZETİM ÇÖZÜM YAKLAŞIMI. DEUFMD. September 2011;13(3):63-77.
Chicago Bilgen, Bilge, and Cansu Pınar Diksirek. “TEDARİK ZİNCİRİ AĞI İÇERİSİNDE ÜRETİM PLANLAMA PROBLEMİ İÇİN MELEZ ANALİTİK/BENZETİM ÇÖZÜM YAKLAŞIMI”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen Ve Mühendislik Dergisi 13, no. 3 (September 2011): 63-77.
EndNote Bilgen B, Diksirek CP (September 1, 2011) TEDARİK ZİNCİRİ AĞI İÇERİSİNDE ÜRETİM PLANLAMA PROBLEMİ İÇİN MELEZ ANALİTİK/BENZETİM ÇÖZÜM YAKLAŞIMI. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 13 3 63–77.
IEEE B. Bilgen and C. P. Diksirek, “TEDARİK ZİNCİRİ AĞI İÇERİSİNDE ÜRETİM PLANLAMA PROBLEMİ İÇİN MELEZ ANALİTİK/BENZETİM ÇÖZÜM YAKLAŞIMI”, DEUFMD, vol. 13, no. 3, pp. 63–77, 2011.
ISNAD Bilgen, Bilge - Diksirek, Cansu Pınar. “TEDARİK ZİNCİRİ AĞI İÇERİSİNDE ÜRETİM PLANLAMA PROBLEMİ İÇİN MELEZ ANALİTİK/BENZETİM ÇÖZÜM YAKLAŞIMI”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 13/3 (September 2011), 63-77.
JAMA Bilgen B, Diksirek CP. TEDARİK ZİNCİRİ AĞI İÇERİSİNDE ÜRETİM PLANLAMA PROBLEMİ İÇİN MELEZ ANALİTİK/BENZETİM ÇÖZÜM YAKLAŞIMI. DEUFMD. 2011;13:63–77.
MLA Bilgen, Bilge and Cansu Pınar Diksirek. “TEDARİK ZİNCİRİ AĞI İÇERİSİNDE ÜRETİM PLANLAMA PROBLEMİ İÇİN MELEZ ANALİTİK/BENZETİM ÇÖZÜM YAKLAŞIMI”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen Ve Mühendislik Dergisi, vol. 13, no. 3, 2011, pp. 63-77.
Vancouver Bilgen B, Diksirek CP. TEDARİK ZİNCİRİ AĞI İÇERİSİNDE ÜRETİM PLANLAMA PROBLEMİ İÇİN MELEZ ANALİTİK/BENZETİM ÇÖZÜM YAKLAŞIMI. DEUFMD. 2011;13(3):63-77.

Dokuz Eylül Üniversitesi, Mühendislik Fakültesi Dekanlığı Tınaztepe Yerleşkesi, Adatepe Mah. Doğuş Cad. No: 207-I / 35390 Buca-İZMİR.