طراحی مدل ریاضی زنجیره عرضه یک سازمان تولیدی با فرآیند تولید چند مرحله ای
محورهای موضوعی : مدیریت صنعتی
Alireza Kafashbashi
1
(M.A in Industrial Management)
Najme Roozbakhsh
2
(Member of Academic Staff, Kordkuy Branch, Islamic Azad University, Kordkuy, Iran)
کلید واژه: مدل ریاضی, مدیریت زنجیره تأمین, زنجیره تأمین, فرآیندتولید چند مرحله ای,
چکیده مقاله :
در سالهای اخیرء مدیریت سازمانها با چالشهای عمده جدیدی مواجه شده اندک همنتج به توجه خاص به زنجیره عرضه و نحوه مدیریت آَنگشته است. در این راه اگرچه مدل های متعددی برای زنجیره تأمین ارائه شده استء اما در آنهابهزنجیره تأمین به صورت یکپارچه توجه نشده و یا اگر این گونه بوده فرآیند تولیدبه صورت تک مرحله ای در نظرگرفتهشده است که در این صورت موجودی کالای نیم ساخته در فرآیندتولید مورد توجه واقع نشده است. در این مقاله تلاش شده است با ارائه یک مدل ریاضی دو سطحی برای یک سازمان تولیدی با فرآیندتولید چند مرحله ای و مقایسه خروجیهای مدل با اطلاعات واقعی دریافتی از شرکت نساجی نمونه صحت مدل مورد بررسی قرار گیرد. لذا مدل این تحقیق در دو سطح میان مدت وکوتاه مدت طراحی شده استکه در سطح میان مدت چند هدف برای برنامه ریزی جامع خریده تولید و توزیع آرائه شده است که وضعیت بهینه را در یک دوره 10 روزه مشخص می کند. مدل سطح کوتاه مدت نیز با هدف حداقل کردن هزینه های زنجیره و موجودی کالای نیم ساخته در مراحل مختلفتولید برنامه های روزانهتولید را در هر مرحله از فرآیند تولیده مشخص می کند. پس از ارائه مدل اطلاعات واقعی شرکت نمونه در مدل قرارگرفته و با استفاده از نرم افزار لینگو مدل حل گردید ونتایجبه دست آمده از مدل با موجودیهای کالای نیم ساخته مراحل مختلف تولید مقایسه گردید نتایج تحقیق حاکی از کاهش قابل توجه کالای نیم ساخته در بخش های مختلف فرآیندتولید در صورتاستفاده از مدل بود و بدینترتیب کارایی مدل موردتأیید قرار گرفت.
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linear controlling systems. The fifth management international conference Online:
www.civilica.com/Printable-IRIMC05_050.html
2. Amid, Amin. (2006). Fuzzy multi-phase model with weight for allocating buying orders
to providers in one provision chain. The second logistic conference and provision chain
Online: www.civilica.com/Printable-NCLSC02_026.html
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chain with discount. The sixth international industrial engineering conference Online:
www.civilica.com/Calendar-IIEC06.html
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network and transportation costs on supply chain facility networks. Journal of
manufacturing and operations management, 43(1):64-71.
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and methods. Operations research, 36(2), 32-37.
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production/distribution planning in supply chain: An invited review. European journal of
operational research, 115(1): 89-96.
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Operations Management, 23(3), 389-403.
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Echelon Supply Chain Network with Various Products and Transferring Vehicles. The
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www.iust.ac.ir/find.php?item=8.7706.20533.fa
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network evaluation and design. International journal of production economics, 59(1), 117-
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linkages: challenges for design and management in 21th century. Decision science, 23(3),
48-55.
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chain. The fifth management international conference Online:
www.ensani.ir/fa/content/61488/default.aspx
15. Mohamed, Benbouziane, &Meriem, Djennas. (2012). Agent-Based Modeling In Supply
Chain Management. International Journal of Artificial Intelligence & Applications
(IJAIA), 5(3),29-37.
16. Mirghafouri, S. H., & Seyyed Esfahani, Mirmehdi, & Azar, Adel. (2003). Designing
hierarchical model of distribution chain. Modarres Publication Online:
www.noormags.com/view/fa/articlepage/50355
17. Sabri.H.E., &Beamon.M.B.A. (2000). Multi objective approach to simultaneous strategic
and operational planning in supply chain design. Omega, 28, 134-139.
18. Safeei, Abdolsattar. (2008). Programming model of unified production in provision chain.
the sixth international industrial engineering conference Online:
www.civilica.com/Papers-IIEC06.html.
19. Shahrabi, Jamal, & Mosavi, S. E. (2008). Presenting a neural network model for
predicting demand in provision chain with exploring data approach. The second
conference of data-exploration in Iran Online: www.civilica.com/Paper-IDMC02-
IDMC02_162.html.
20. Yi-fen Su, & Chyan Yang, A. (2009). Structural equation model for analyzing the impact
of ERP on SCM. International Journal of Production Economics, 122(1), 95-103
Alagheband, Alireza. (2007). Modeling and controlling of provision model by applying
linear controlling systems. The fifth management international conference Online:
www.civilica.com/Printable-IRIMC05_050.html
2. Amid, Amin. (2006). Fuzzy multi-phase model with weight for allocating buying orders
to providers in one provision chain. The second logistic conference and provision chain
Online: www.civilica.com/Printable-NCLSC02_026.html
3. Aryanejad, & Ghol, & Mirbahador. (2008). Presenting multi-phase stock of provision
chain with discount. The sixth international industrial engineering conference Online:
www.civilica.com/Calendar-IIEC06.html
4. Arntzen, B.C., & Brown, G.G., & Harrison. T.P. & Trafton. L.L. (1995). Global supply
chain management at Digital Equipment Corporation, Interfaces, 125(1), 141-149.
5. Brown.G.G., & Graves. G.W., & Honezarenco. M.D. (1987). Design and operation of
multicommodity production/distribution systems using promal goal decomposition.
Management science, 23(2),95-103.
6. Cohen.MA., &Moon. S. (1999). Impact of production scale economics, manufacturing
network and transportation costs on supply chain facility networks. Journal of
manufacturing and operations management, 43(1):64-71.
7. Cohen, Ma., Lee, HL. (1998). Strategic analysis of integrated production systems: models
and methods. Operations research, 36(2), 32-37.
8. E. nergus.SS., & Simpson. N.C., & Vakharia., A., J. (1999). Integrated
production/distribution planning in supply chain: An invited review. European journal of
operational research, 115(1): 89-96.
9. Fine, C.H., &B. Golany, &H. Naseraldin. (2005). Modeling Tradeoffs in ThreeDimensional Concurrent Engineering: A Goal Programming Approach. Journal of
Operations Management, 23(3), 389-403.
10. Ghazanfari, Hossein, & Seyyed Hosseini,Seyyed Mohammad. (2004). Providing models
in unitization chain of total logistic cost in managing provision chain. The first national
and logistic conference and provision chain Online: www.ilscs.ir/index.php
11. Mahdavi, I., & Mohajeri, A. (2010). A Mathematical Programming Approach for Multi
Echelon Supply Chain Network with Various Products and Transferring Vehicles. The
Second International Conference of Iranian Operations Research Online:
www.iust.ac.ir/find.php?item=8.7706.20533.fa
12. Korpela, J., & Lehmusvaara, A. (1999). A customer oriented approach to warehouse
network evaluation and design. International journal of production economics, 59(1), 117-
124.
13. Mabert. V.A, &Vankataramanan.MA. (1998). Special research focus on supply chain
linkages: challenges for design and management in 21th century. Decision science, 23(3),
48-55.
14. Makouey, Ahmed. (2007). two-level programming model in analyzing one provision
chain. The fifth management international conference Online:
www.ensani.ir/fa/content/61488/default.aspx
15. Mohamed, Benbouziane, &Meriem, Djennas. (2012). Agent-Based Modeling In Supply
Chain Management. International Journal of Artificial Intelligence & Applications
(IJAIA), 5(3),29-37.
16. Mirghafouri, S. H., & Seyyed Esfahani, Mirmehdi, & Azar, Adel. (2003). Designing
hierarchical model of distribution chain. Modarres Publication Online:
www.noormags.com/view/fa/articlepage/50355
17. Sabri.H.E., &Beamon.M.B.A. (2000). Multi objective approach to simultaneous strategic
and operational planning in supply chain design. Omega, 28, 134-139.
18. Safeei, Abdolsattar. (2008). Programming model of unified production in provision chain.
the sixth international industrial engineering conference Online:
www.civilica.com/Papers-IIEC06.html.
19. Shahrabi, Jamal, & Mosavi, S. E. (2008). Presenting a neural network model for
predicting demand in provision chain with exploring data approach. The second
conference of data-exploration in Iran Online: www.civilica.com/Paper-IDMC02-
IDMC02_162.html.
20. Yi-fen Su, & Chyan Yang, A. (2009). Structural equation model for analyzing the impact
of ERP on SCM. International Journal of Production Economics, 122(1), 95-103
