BibTex RIS Kaynak Göster

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Yıl 2015, Cilt: 6 Sayı: 1, 15 - 36, 26.06.2015

Öz

In this paper, profit maximization based integrated model focusing on aggregate production planning and promotion activities is constructed simultaneously. This linear programming model was applied to a real problem of a company operating in stainless steel and cold forming sector and the optimum solution was found within Lingo 9.0 software. By using this model which promotion activities should be used, the amount of products to be produced and which one of the six two-month periods will provide maximum possible profit in is determined for 2015

Kaynakça

  • Ayan, T. Y. (2010), “Toplam Üretim Planlaması Problemi için Bulanik Hedef
  • Programlama Yaklaşımı”, Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 34: 69-90.
  • Baykasoglu, A. and Gocken, T. (2010), “Multi-objective aggregate production
  • planning with fuzzy parameters”, Advances in Engineering Software, 41(9): 1124- 1131.
  • Blattberg, R. C., Briesch, R. and Fox, E. J. (1995), “How Promotions Work”,
  • Marketing Science, 14(3, Part 2 of 2) g122-g132.
  • Byrne, M. and Bakir, M. A. (1999), “Production planning using a hybrid
  • simulation-analytical approach,” International Journal of Production Economics, 59: 305 - 311.
  • Caemmerer, B. (2009), “The planning and implementation of integrated marketing communications”, Marketing Intelligence & Planning, 27(4): 524-538. Chakrabortty, R. K. and Hasin, A. A. (2013), “Solving an Aggregate Production Planning Problem by Fuzzy Based Genetic Algorithm (FBGA) Approach”, International Journal of Fuzzy Logic Systems (IJFLS), 3(1): 1-16.
  • Davenport, T. H. and Short, J. E. (1990), “The New Industrial Engineering: Information Technology and Business Process Redesign”, Sloan Management Review, 11-27.
  • Dupree, J. (2004), “Total integrated marketing”, The Journal of Consumer Marketing, 21(1): 70-72.
  • Heizer, J. and Render, B. (2001), Production and operations management: strategic and tactical decisions, Upper Saddle River, NJ: Prentice Hall.
  • Jamalnia, A. and Feili, A. (2011), “A simulation testing and analysis of aggregate production planning strategies”, Production Planning & Control, 1-26.
  • Krishna, A., Currim, I. S, and Shoemaker, R. W. (1991), “Consumer Perceptions of Promotional Activity”, Journal of Marketing, 55(2): 4.
  • Leung, S. C. H. and Ng, W. (2007), “A goal programming model for production planning of perishable products with postponement”, Computers & Industrial Engineering, 53: 531-541.
  • Liang, T-F., Cheng, H-W, Chen, P-Y. and Shen, K-H. (2011), “Application of Fuzzy Sets to Aggregate Production Planning With Multiproducts and Multitime Periods”, IEEE Transactions on Fuzzy Systems, 19(3): 465-477.
  • Mirzapour Al-e-hashem, S. M. J., Malekly, H. and Aryanezhad, M. B. (2011), “A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty”, International Journal of Production Economics, 134(1): 28-42.
  • Mortezaei, N., Zulkifli, N., Hong, T. S. and Yusuff, R. M. (2013), “Multi- objective aggregate production planning model with fuzzy parameters and its solving methods”, Life Science Journal, 10(4): 2406-2414.
  • Mulhern, F. and Padgett, D. T. (1995), “The Relationship between Retail Price Promotions and Regular Price Purchases”, The Journal of Marketing, 59(4): 83- 90.
  • Nam, S. J. and Logendran, R. (1992), “Aggregate Production Planning: A Survey of Models and Methodologies”, European Journal of Operational Research, 61(3): 255-272.
  • Neslin, S. A. (2002), Sales Promotion, Relevant Knowledge Series, Marketing Science Institute, Cambridge, Massachusetts.
  • Neslin, S. A., Henderson, C: and Quelch, J. (1985), “Consumer promotions and the acceleration of product purchases”, Marketing Science, 4: 147-165.
  • Nijs, V. R., Dekimpe, M. G., Steenkamps, J.-B. E.M.and Hanssens, D. M. (2001), “The Category-Demand Effects of Price Promotions”, Marketing Science, 20(1): 1-22.
  • Pitta, D., Weisgal, M. and Lynagh, P. (2006), “Integrating exhibit marketing into
  • integrated marketing communications”, The Journal of Consumer Marketing, 23(3): 156-166.
  • Prabhaker, P. (2001), “Integrated marketing-manufacturing strategies”, The
  • Journal of Business & Industrial Marketing, 16(2): 113-128.
  • Shahriar, A. F. (2008), “Integrated Internal Marketing Communications”, The
  • Marketing Review, 8(3): 223-235.
  • Shi, Y. and Haase, C. (1996), “Optimal trade-offs of aggregate production
  • planning with multi-objective and multi-capacity-demand levels”, International
  • Journal of Operations and Quantitative Management, 2: 127-143.
  • Silva, C. G., Figueira, J., Lisboa, J. and Barman, S. (2006), “An interactive
  • decision support system for an aggregate production planning model based on
  • multiple criteria mixed integer linear programming”, Omega, 34(2): 167-177.
  • Silva, A. F. and Marins, F. A. S. (2014), “A Fuzzy Goal Programming model for
  • solving aggregate production-planning problems under uncertainty: A case study
  • in a Brazilian sugar mill”, Energy Economics, 45: 196-204.
  • Silva-Risso, J. M., Bucklin, R. E. and Morrison, D. G. (1999), “A Decision
  • Support System for Planning Manufacturers’ Sales Promotion Calendars”,
  • Marketing Science, Special Issue on Managerial Decision Making, 18(3): 274- 300.
  • Yenradee, P. and Sarvi, T. (2007), “An integrated model for aggregate production
  • planning and pricing”, In Proceedings of the 8th Asia Pacific Industrial
  • Engineering and Management Systems Conference.
  • Yenradee, P. and Piyamanothorn, K. (2011), “Integrated aggregate production
  • planning and marketing promotion: model and case study”, International Journal
  • of Management Science and Engineering Management, 6(2): 146-153.
  • Van Heerde, H. J. and Neslin, S. A. (2008), “Sales Promotion Models” in
  • Handbook of Marketing Decision Models, Ed: Hillier, Frederick S.vol. 121,
  • pp:107-162. Springer US.
  • Wang, R. C. ve Fang, H. H. (2001), “Aggregate production planning with
  • multiple objectives in a fuzzy environment”, European Journal of Operational
  • Research, 133(3): 521-536.
  • Wang, R. and Liang, T. (2005), “Applying possibilistic linear programming to
  • aggregate production planning”, International Journal of Production Economics, 98: 328-341.
  • Zhang, R., Zhang, L., Xiao, Y. and Kaku, I. (2012), “The activity-based aggregate
  • production planning with capacity expansion in manufacturing systems”,
  • Computers and Industrial Engineering, 62(2): 491-503.
  • Miray Baybars, Ege Üniversitesi İşletme Bölümü Üretim Yönetimi ve Pazarlama Ana Bilim Dalı’nda araştırma görevlisidir. Lisans ve yüksek lisans derecesini Dokuz Eylül Üniversitesi İngilizce İşletme Bölümü’nde tamamlamıştır. Doktora eğitimine Ege Üniversitesi’nde işletme bölümde devam etmektedir. Pazarlama ve tüketici davranışları başlıca ilgi alanları arasındadır.

KAR MAKSİMİZASYONU TEMELLİ ÜRETİM-TUTUNDURMA FAALİYETLERİ ENTEGRASYONU: BİR İŞLETME ÖRNEĞİ

Yıl 2015, Cilt: 6 Sayı: 1, 15 - 36, 26.06.2015

Öz

Bu çalışmada, tutundurma ve üretim planlaması faaliyetlerine eşzamanlı olarak odaklanılarak, kar maksimizasyonu temelli bir üretim-tutundurma faaliyetleri modeli oluşturulmuştur. Oluşturulan bu doğrusal programlama modeli, paslanmaz çelik soğuk şekillendirme sektöründe faaliyet gösteren bir işletmenin probleminde uygulanmış ve optimum çözüm elde edilmiştir. Modelin kodlaması Lingo 9.0 programı kullanılarak gerçekleştirilmiş ve model ile işletme için 2015 yılının ikişer aylık altı döneminde mümkün olan en yüksek karı elde etmek için hangi tutundurma faaliyetlerinin ne zaman yapılması gerektiği ve ne zaman hangi miktarda üretim yapılması gerektiği belirlenmiştir.

Kaynakça

  • Ayan, T. Y. (2010), “Toplam Üretim Planlaması Problemi için Bulanik Hedef
  • Programlama Yaklaşımı”, Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 34: 69-90.
  • Baykasoglu, A. and Gocken, T. (2010), “Multi-objective aggregate production
  • planning with fuzzy parameters”, Advances in Engineering Software, 41(9): 1124- 1131.
  • Blattberg, R. C., Briesch, R. and Fox, E. J. (1995), “How Promotions Work”,
  • Marketing Science, 14(3, Part 2 of 2) g122-g132.
  • Byrne, M. and Bakir, M. A. (1999), “Production planning using a hybrid
  • simulation-analytical approach,” International Journal of Production Economics, 59: 305 - 311.
  • Caemmerer, B. (2009), “The planning and implementation of integrated marketing communications”, Marketing Intelligence & Planning, 27(4): 524-538. Chakrabortty, R. K. and Hasin, A. A. (2013), “Solving an Aggregate Production Planning Problem by Fuzzy Based Genetic Algorithm (FBGA) Approach”, International Journal of Fuzzy Logic Systems (IJFLS), 3(1): 1-16.
  • Davenport, T. H. and Short, J. E. (1990), “The New Industrial Engineering: Information Technology and Business Process Redesign”, Sloan Management Review, 11-27.
  • Dupree, J. (2004), “Total integrated marketing”, The Journal of Consumer Marketing, 21(1): 70-72.
  • Heizer, J. and Render, B. (2001), Production and operations management: strategic and tactical decisions, Upper Saddle River, NJ: Prentice Hall.
  • Jamalnia, A. and Feili, A. (2011), “A simulation testing and analysis of aggregate production planning strategies”, Production Planning & Control, 1-26.
  • Krishna, A., Currim, I. S, and Shoemaker, R. W. (1991), “Consumer Perceptions of Promotional Activity”, Journal of Marketing, 55(2): 4.
  • Leung, S. C. H. and Ng, W. (2007), “A goal programming model for production planning of perishable products with postponement”, Computers & Industrial Engineering, 53: 531-541.
  • Liang, T-F., Cheng, H-W, Chen, P-Y. and Shen, K-H. (2011), “Application of Fuzzy Sets to Aggregate Production Planning With Multiproducts and Multitime Periods”, IEEE Transactions on Fuzzy Systems, 19(3): 465-477.
  • Mirzapour Al-e-hashem, S. M. J., Malekly, H. and Aryanezhad, M. B. (2011), “A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty”, International Journal of Production Economics, 134(1): 28-42.
  • Mortezaei, N., Zulkifli, N., Hong, T. S. and Yusuff, R. M. (2013), “Multi- objective aggregate production planning model with fuzzy parameters and its solving methods”, Life Science Journal, 10(4): 2406-2414.
  • Mulhern, F. and Padgett, D. T. (1995), “The Relationship between Retail Price Promotions and Regular Price Purchases”, The Journal of Marketing, 59(4): 83- 90.
  • Nam, S. J. and Logendran, R. (1992), “Aggregate Production Planning: A Survey of Models and Methodologies”, European Journal of Operational Research, 61(3): 255-272.
  • Neslin, S. A. (2002), Sales Promotion, Relevant Knowledge Series, Marketing Science Institute, Cambridge, Massachusetts.
  • Neslin, S. A., Henderson, C: and Quelch, J. (1985), “Consumer promotions and the acceleration of product purchases”, Marketing Science, 4: 147-165.
  • Nijs, V. R., Dekimpe, M. G., Steenkamps, J.-B. E.M.and Hanssens, D. M. (2001), “The Category-Demand Effects of Price Promotions”, Marketing Science, 20(1): 1-22.
  • Pitta, D., Weisgal, M. and Lynagh, P. (2006), “Integrating exhibit marketing into
  • integrated marketing communications”, The Journal of Consumer Marketing, 23(3): 156-166.
  • Prabhaker, P. (2001), “Integrated marketing-manufacturing strategies”, The
  • Journal of Business & Industrial Marketing, 16(2): 113-128.
  • Shahriar, A. F. (2008), “Integrated Internal Marketing Communications”, The
  • Marketing Review, 8(3): 223-235.
  • Shi, Y. and Haase, C. (1996), “Optimal trade-offs of aggregate production
  • planning with multi-objective and multi-capacity-demand levels”, International
  • Journal of Operations and Quantitative Management, 2: 127-143.
  • Silva, C. G., Figueira, J., Lisboa, J. and Barman, S. (2006), “An interactive
  • decision support system for an aggregate production planning model based on
  • multiple criteria mixed integer linear programming”, Omega, 34(2): 167-177.
  • Silva, A. F. and Marins, F. A. S. (2014), “A Fuzzy Goal Programming model for
  • solving aggregate production-planning problems under uncertainty: A case study
  • in a Brazilian sugar mill”, Energy Economics, 45: 196-204.
  • Silva-Risso, J. M., Bucklin, R. E. and Morrison, D. G. (1999), “A Decision
  • Support System for Planning Manufacturers’ Sales Promotion Calendars”,
  • Marketing Science, Special Issue on Managerial Decision Making, 18(3): 274- 300.
  • Yenradee, P. and Sarvi, T. (2007), “An integrated model for aggregate production
  • planning and pricing”, In Proceedings of the 8th Asia Pacific Industrial
  • Engineering and Management Systems Conference.
  • Yenradee, P. and Piyamanothorn, K. (2011), “Integrated aggregate production
  • planning and marketing promotion: model and case study”, International Journal
  • of Management Science and Engineering Management, 6(2): 146-153.
  • Van Heerde, H. J. and Neslin, S. A. (2008), “Sales Promotion Models” in
  • Handbook of Marketing Decision Models, Ed: Hillier, Frederick S.vol. 121,
  • pp:107-162. Springer US.
  • Wang, R. C. ve Fang, H. H. (2001), “Aggregate production planning with
  • multiple objectives in a fuzzy environment”, European Journal of Operational
  • Research, 133(3): 521-536.
  • Wang, R. and Liang, T. (2005), “Applying possibilistic linear programming to
  • aggregate production planning”, International Journal of Production Economics, 98: 328-341.
  • Zhang, R., Zhang, L., Xiao, Y. and Kaku, I. (2012), “The activity-based aggregate
  • production planning with capacity expansion in manufacturing systems”,
  • Computers and Industrial Engineering, 62(2): 491-503.
  • Miray Baybars, Ege Üniversitesi İşletme Bölümü Üretim Yönetimi ve Pazarlama Ana Bilim Dalı’nda araştırma görevlisidir. Lisans ve yüksek lisans derecesini Dokuz Eylül Üniversitesi İngilizce İşletme Bölümü’nde tamamlamıştır. Doktora eğitimine Ege Üniversitesi’nde işletme bölümde devam etmektedir. Pazarlama ve tüketici davranışları başlıca ilgi alanları arasındadır.
Toplam 59 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Araştırma
Yazarlar

Fatma Demircan Keskin

Miray Baybars

Yayımlanma Tarihi 26 Haziran 2015
Yayımlandığı Sayı Yıl 2015 Cilt: 6 Sayı: 1

Kaynak Göster

APA Demircan Keskin, F., & Baybars, M. (2015). KAR MAKSİMİZASYONU TEMELLİ ÜRETİM-TUTUNDURMA FAALİYETLERİ ENTEGRASYONU: BİR İŞLETME ÖRNEĞİ. LAÜ Sosyal Bilimler Dergisi, 6(1), 15-36.

Lefke Avrupa Üniversitesi (LAÜ) Sosyal Bilimler Dergisi haziran ve aralık aylarında olmak üzere yılda iki defa yayınlanan iki hakemli bir dergidir. Derginin yelpazesi toplum bilimlerinin tüm disiplinlerini ve dallarını kapsamaktadır. LAÜ Sosyal Bilimler Dergisi yalnızca Türkçe ve İngilizce makaleleri kabul etmektedir.  http://euljss.eul.edu.tr/euljss/