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Sipariş Teslim Tarihi Problemi İçin Çok Kriterli ve Çok Yöntemli Karar Destek Sistemi Önerisi

Yıl 2018, Cilt: 29 Sayı: 84, 65 - 78, 06.07.2018

Öz

Siparişe göre üretim yapan firmalar, müşterilerinden gelen siparişleri hangi tarihte teslim edeceklerini belirleyerek müşterilerine teslim tarihi teklifinde bulunurlar. Müşterilerin beklentisinden daha geç bir tarih verilmesi durumunda firmalar siparişin iptali veya müşteri kaybı durumlarıyla karşılaşabilmektedir. Bu çalışmada müşteri memnuniyetini ve firmanın önceliklerini dengeleyebilmek için teslim tarihi belirleme problemini çok kriterli bir karar yapısı olarak ele alan bir karar destek modeli önerilmiştir. Önerilen modelde kullanıcı, teklif havuzundaki siparişleri tek arayüzde 6 karar modeli ile sıralayarak, her farklı sıralama modeli için siparişlere teslim tarihi atamasını gerçekleştirmektedir. Karar destek modeli 6 model için belirli bir planlama ufkunda teslim tarihi verilen siparişlerden ne kadar gelir elde edileceğini göstererek, pazarlama birimi yöneticilerine gelir yaklaşımına dayanarak karar verme kolaylığı sağlamaktadır. Yapılan çalışmada, teslim tarihi problemi çok kriterli bir karar yapısı ile modellenerek, 6 farklı yöntem ile aynı uygulama yazılımında kullanıcıya karar desteği sağlayan ilk çalışma olduğu için teslim tarihi literatürüne de katkı sağlanmıştır. 

Kaynakça

  • Assarzadegan, P., & Rasti-Barzoki, M. (2016). Minimizing sum of the due date assignment costs, maximum tardiness and distribution costs in a supply chain scheduling problem. Applied Soft Computing, 47, 343–356.
  • Chaharsooghi, S. K., Honarvar, M., & Modarres, M. (2011). A multi-stage stochastic programming model for dynamic pricing and lead time decisions in multi-class make-to-order firm. Scientia Iranica, 18(3), 711–721.
  • Charnsirisakskul, K., Griffin, P. M., & Keskinocak, P. (2006). Pricing and scheduling decisions with leadtime flexibility. European Journal of Operational Research, 171(1), 153–169.
  • Conway, R. W., Maxwell, W. L., & Miller, L. W. (1967). Theory of scheduling. Courier Corporation.
  • Demir, H. I., Cil, I., Uygun, O., Simsir, F., & Kokcam, A. H. (2016). Process planning and weighted scheduling with WNOPPT weighted due-date assignment using hybrid search for weighted customers. International Journal of Science and Technology, 2(1), 1–19.
  • Demir, H. İ., & Erden, C. (2017). Solving process planning and weighted scheduling with WNOPPT weighted due-date assignment problem using some pure and hybrid meta-heuristics. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 21(2), 210–222.
  • Drwal, M. (2017). Robust scheduling to minimize the weighted number of late jobs with interval due-date uncertainty. Arxiv Preprint Arxiv, 1708.03252.
  • Duenyas, I., & Hopp, W. J. (1995). Quoting customer lead times. Management Science, 41(1), 43–57.
  • Duenyas, I. (1995). Single facility due date setting with multiple customer classes. Management Science, 41(4), 608–619.
  • Ebadian, M., Rabbani, M., Jolai, F., Torabi, S. A., & Tavakkoli-Moghaddam, R. (2008). A new decision-making structure for the order entry stage in make-to-order environments. International Journal of Production Economics, 111(2), 351–367.
  • Guhlich, H., Fleischmann, M., & Stolletz, R. (2015). Revenue management approach to due date quoting and scheduling in an assemble-to-order production system. OR Spectrum, 37(4), 951–982.
  • Jelassi, M. T., Jarke, M., & Stohr, E. A. (1985). Designing a generalized multiple criteria decision support system. Journal of Management Information Systems, 1(4), 24–43.
  • Karande, P., & Chakraborty, S. (2012). Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection. Materials & Design, 37, 317–324.
  • Keskinocak, P., Ravi, R., & Tayur, S. (2001). Scheduling and reliable lead-time quotation for orders with availability intervals and lead-time sensitive revenues. Management Science, 47(2), 264–279.
  • Khataie, A. H., Bulgak, A. A., & Segovia, J. J. (2011). Activity-based costing and management applied in a hybrid decision support system for order management. Decision Support Systems, 52(1), 142–156.
  • Kuroda, M. (2016). Integration of product design and manufacturing through real-time due-date estimation and scheduling systems. Journal of Advanced Mechanical Design, Systems, and Manufacturing, 10(3). http://dx.doi.org/10.1299/jamdsm.2016jamdsm0042
  • Li, S. S., & Chen, R. X. (2017). Common due date assignment and cumulative deterioration scheduling on a single machine. Engineering Optimization, 49(6), 976–989. Lin, Y. K., & Huang, D. H. (2017). Reliability analysis for a hybrid flow shop with due date consideration. Reliability Engineering & System Safety. Advance Online Publication. https://doi. org/10.1016/j.ress.2017.07.008
  • Low, C., Li, R. K., & Wu, G. H. (2016). Minimizing total earliness and tardiness for common due date single-machine scheduling with an unavailability interval. Mathematical Problems in Engineering, Article ID 6124734. http://dx.doi.org/10.1155/2016/6124734
  • Lödding, H., & Piontek, A. (2017). The surprising effectiveness of earliest operation due-date sequencing. Production Planning & Control, 28(5), 459–471.
  • Moodie, D. R. (1999). Demand management: The evaluation of price and due date negotiation strategies using simulation. Production and Operations Management, 8(2), 151.
  • Moodie, D. R. (1999). Due date demand management: negotiating the trade-off between price and delivery. International Journal of Production Research, 37(5), 997–1021.
  • Nurainun, T., Fudholi, A., Hartati, M., Yendra, R., & Kusumanto, I., (2016). A multi due date batch scheduling model on dynamic flow shop to minimize total production cost. Contemporary Engineering Sciences, 9(7), 315–324.
  • Patil, R. J. (2010). Due date management to improve customer satisfaction and profitability. International Journal of Logistics: Research and Applications, 13(4), 273–289. Philipoom, P. R., & Fry, T. D. (1992). Capacity-based order review/release strategies to improve manufacturing performance. The International Journal Of Production Research, 30(11), 2559–2572.
  • Pibernik, R., & Yadav, P. (2008). Dynamic capacity reservation and due date quoting in a make to order system. Naval Research Logistics, 55(7), 593–611. Rom, W. O., & Slotnick, S. A. (2009). Order acceptance using genetic algorithms. Computers & Operations Research, 36(6), 1758–1767.
  • Saaty Thomas, L. (1980). The analytic hierarchy process. New York: McGrow-Hill. Schäfer, R., Chankov, S., & Bendul, J. (2016). What is really “on-time”? A comparison of due date performance indicators in production. Procedia CIRP, 52, 124–129.
  • Senju, S., & Toyoda, Y. (1968). An approach to linear programming with 0-1 variables. Management Science, B196–B207.
  • Shabtay, D., Steiner, G., & Zhang, R. (2016). Optimal coordination of resource allocation, due date assignment and scheduling decisions. Omega, 65, 41–54.
  • Vig, M,M. & Dooley, K. J. (1991). Dynamic rules for due-date assignment. International Journal of Production Research, 29, 1361–1377.
  • Wein, L. M., & Chevalier, P. B. (1992). A broader view of the job-shop scheduling problem. Management Science, 38(7), 1018–1033.
  • Wu, M. C., & Chen, S. Y. (1996). A cost model for justifying the acceptance of rush orders. International Journal of Production Research, 34(7), 1963–1974.
  • Zahedi, Z., Samadhi, T., Suprayogi, S., & Halim, A. (2016). Integrated batch production and maintenance scheduling for multiple items processed on a deteriorating machine to minimize total production and maintenance costs with due date constraint. International Journal of Industrial Engineering Computations, 7(2), 229–244.
  • Zhao, C. (2016). Common due date assignment and single-machine scheduling with release times to minimize the weighted number of tardy jobs. Japan Journal of Industrial and Applied Mathematics, 33(1), 239–249.
  • Zorzini, M. Corti, D., & Pozzetti, A. (2008). Due date (DD) quotation and capacity planning in make-to-order companies: Results from an empirical analysis. International Journal of Production Economics, 112(2), 919–933.

A Multi-Criteria, Multi-Method Decision Support System for the Order Delivery Date Problem

Yıl 2018, Cilt: 29 Sayı: 84, 65 - 78, 06.07.2018

Öz

Make-to-order firms determine order delivery dates based on information provided by the customers and accordingly present their delivery date bids to customers. If a delivery is not made by the expected date, the company may face order cancellation or the customer’s refusal to pay. In this study, a decision support model, which deals with the problem of determining the delivery date, was proposed, and involves using a multi-criteria decision structure to balance customer satisfaction and organizational priorities. In the proposed model, the user assigns an order delivery date for each sorting model by sorting the orders in the bid pool of six decision models embedded into one interface. The proposed decision support model facilitates decision-making by utilizing six methods, based on the revenue approach of marketing managers, to determine how much revenue will be generated from orders with delivery dates within a specific period. In this study, the delivery date problem was modeled using a multi-criteria decision structure and contributes to delivery date literature by being the first study to develop a decision support system for users within the same application software, but with six different methods. 

Kaynakça

  • Assarzadegan, P., & Rasti-Barzoki, M. (2016). Minimizing sum of the due date assignment costs, maximum tardiness and distribution costs in a supply chain scheduling problem. Applied Soft Computing, 47, 343–356.
  • Chaharsooghi, S. K., Honarvar, M., & Modarres, M. (2011). A multi-stage stochastic programming model for dynamic pricing and lead time decisions in multi-class make-to-order firm. Scientia Iranica, 18(3), 711–721.
  • Charnsirisakskul, K., Griffin, P. M., & Keskinocak, P. (2006). Pricing and scheduling decisions with leadtime flexibility. European Journal of Operational Research, 171(1), 153–169.
  • Conway, R. W., Maxwell, W. L., & Miller, L. W. (1967). Theory of scheduling. Courier Corporation.
  • Demir, H. I., Cil, I., Uygun, O., Simsir, F., & Kokcam, A. H. (2016). Process planning and weighted scheduling with WNOPPT weighted due-date assignment using hybrid search for weighted customers. International Journal of Science and Technology, 2(1), 1–19.
  • Demir, H. İ., & Erden, C. (2017). Solving process planning and weighted scheduling with WNOPPT weighted due-date assignment problem using some pure and hybrid meta-heuristics. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 21(2), 210–222.
  • Drwal, M. (2017). Robust scheduling to minimize the weighted number of late jobs with interval due-date uncertainty. Arxiv Preprint Arxiv, 1708.03252.
  • Duenyas, I., & Hopp, W. J. (1995). Quoting customer lead times. Management Science, 41(1), 43–57.
  • Duenyas, I. (1995). Single facility due date setting with multiple customer classes. Management Science, 41(4), 608–619.
  • Ebadian, M., Rabbani, M., Jolai, F., Torabi, S. A., & Tavakkoli-Moghaddam, R. (2008). A new decision-making structure for the order entry stage in make-to-order environments. International Journal of Production Economics, 111(2), 351–367.
  • Guhlich, H., Fleischmann, M., & Stolletz, R. (2015). Revenue management approach to due date quoting and scheduling in an assemble-to-order production system. OR Spectrum, 37(4), 951–982.
  • Jelassi, M. T., Jarke, M., & Stohr, E. A. (1985). Designing a generalized multiple criteria decision support system. Journal of Management Information Systems, 1(4), 24–43.
  • Karande, P., & Chakraborty, S. (2012). Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection. Materials & Design, 37, 317–324.
  • Keskinocak, P., Ravi, R., & Tayur, S. (2001). Scheduling and reliable lead-time quotation for orders with availability intervals and lead-time sensitive revenues. Management Science, 47(2), 264–279.
  • Khataie, A. H., Bulgak, A. A., & Segovia, J. J. (2011). Activity-based costing and management applied in a hybrid decision support system for order management. Decision Support Systems, 52(1), 142–156.
  • Kuroda, M. (2016). Integration of product design and manufacturing through real-time due-date estimation and scheduling systems. Journal of Advanced Mechanical Design, Systems, and Manufacturing, 10(3). http://dx.doi.org/10.1299/jamdsm.2016jamdsm0042
  • Li, S. S., & Chen, R. X. (2017). Common due date assignment and cumulative deterioration scheduling on a single machine. Engineering Optimization, 49(6), 976–989. Lin, Y. K., & Huang, D. H. (2017). Reliability analysis for a hybrid flow shop with due date consideration. Reliability Engineering & System Safety. Advance Online Publication. https://doi. org/10.1016/j.ress.2017.07.008
  • Low, C., Li, R. K., & Wu, G. H. (2016). Minimizing total earliness and tardiness for common due date single-machine scheduling with an unavailability interval. Mathematical Problems in Engineering, Article ID 6124734. http://dx.doi.org/10.1155/2016/6124734
  • Lödding, H., & Piontek, A. (2017). The surprising effectiveness of earliest operation due-date sequencing. Production Planning & Control, 28(5), 459–471.
  • Moodie, D. R. (1999). Demand management: The evaluation of price and due date negotiation strategies using simulation. Production and Operations Management, 8(2), 151.
  • Moodie, D. R. (1999). Due date demand management: negotiating the trade-off between price and delivery. International Journal of Production Research, 37(5), 997–1021.
  • Nurainun, T., Fudholi, A., Hartati, M., Yendra, R., & Kusumanto, I., (2016). A multi due date batch scheduling model on dynamic flow shop to minimize total production cost. Contemporary Engineering Sciences, 9(7), 315–324.
  • Patil, R. J. (2010). Due date management to improve customer satisfaction and profitability. International Journal of Logistics: Research and Applications, 13(4), 273–289. Philipoom, P. R., & Fry, T. D. (1992). Capacity-based order review/release strategies to improve manufacturing performance. The International Journal Of Production Research, 30(11), 2559–2572.
  • Pibernik, R., & Yadav, P. (2008). Dynamic capacity reservation and due date quoting in a make to order system. Naval Research Logistics, 55(7), 593–611. Rom, W. O., & Slotnick, S. A. (2009). Order acceptance using genetic algorithms. Computers & Operations Research, 36(6), 1758–1767.
  • Saaty Thomas, L. (1980). The analytic hierarchy process. New York: McGrow-Hill. Schäfer, R., Chankov, S., & Bendul, J. (2016). What is really “on-time”? A comparison of due date performance indicators in production. Procedia CIRP, 52, 124–129.
  • Senju, S., & Toyoda, Y. (1968). An approach to linear programming with 0-1 variables. Management Science, B196–B207.
  • Shabtay, D., Steiner, G., & Zhang, R. (2016). Optimal coordination of resource allocation, due date assignment and scheduling decisions. Omega, 65, 41–54.
  • Vig, M,M. & Dooley, K. J. (1991). Dynamic rules for due-date assignment. International Journal of Production Research, 29, 1361–1377.
  • Wein, L. M., & Chevalier, P. B. (1992). A broader view of the job-shop scheduling problem. Management Science, 38(7), 1018–1033.
  • Wu, M. C., & Chen, S. Y. (1996). A cost model for justifying the acceptance of rush orders. International Journal of Production Research, 34(7), 1963–1974.
  • Zahedi, Z., Samadhi, T., Suprayogi, S., & Halim, A. (2016). Integrated batch production and maintenance scheduling for multiple items processed on a deteriorating machine to minimize total production and maintenance costs with due date constraint. International Journal of Industrial Engineering Computations, 7(2), 229–244.
  • Zhao, C. (2016). Common due date assignment and single-machine scheduling with release times to minimize the weighted number of tardy jobs. Japan Journal of Industrial and Applied Mathematics, 33(1), 239–249.
  • Zorzini, M. Corti, D., & Pozzetti, A. (2008). Due date (DD) quotation and capacity planning in make-to-order companies: Results from an empirical analysis. International Journal of Production Economics, 112(2), 919–933.
Toplam 33 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm MAKALELER
Yazarlar

Cemal Aktürk

Sevinç Gülseçen

Yayımlanma Tarihi 6 Temmuz 2018
Yayımlandığı Sayı Yıl 2018 Cilt: 29 Sayı: 84

Kaynak Göster

APA Aktürk, C., & Gülseçen, S. (2018). Sipariş Teslim Tarihi Problemi İçin Çok Kriterli ve Çok Yöntemli Karar Destek Sistemi Önerisi. İstanbul Üniversitesi İşletme Fakültesi İşletme İktisadı Enstitüsü Yönetim Dergisi, 29(84), 65-78.
AMA Aktürk C, Gülseçen S. Sipariş Teslim Tarihi Problemi İçin Çok Kriterli ve Çok Yöntemli Karar Destek Sistemi Önerisi. İstanbul Üniversitesi İşletme Fakültesi İşletme İktisadı Enstitüsü Yönetim Dergisi. Temmuz 2018;29(84):65-78.
Chicago Aktürk, Cemal, ve Sevinç Gülseçen. “Sipariş Teslim Tarihi Problemi İçin Çok Kriterli Ve Çok Yöntemli Karar Destek Sistemi Önerisi”. İstanbul Üniversitesi İşletme Fakültesi İşletme İktisadı Enstitüsü Yönetim Dergisi 29, sy. 84 (Temmuz 2018): 65-78.
EndNote Aktürk C, Gülseçen S (01 Temmuz 2018) Sipariş Teslim Tarihi Problemi İçin Çok Kriterli ve Çok Yöntemli Karar Destek Sistemi Önerisi. İstanbul Üniversitesi İşletme Fakültesi İşletme İktisadı Enstitüsü Yönetim Dergisi 29 84 65–78.
IEEE C. Aktürk ve S. Gülseçen, “Sipariş Teslim Tarihi Problemi İçin Çok Kriterli ve Çok Yöntemli Karar Destek Sistemi Önerisi”, İstanbul Üniversitesi İşletme Fakültesi İşletme İktisadı Enstitüsü Yönetim Dergisi, c. 29, sy. 84, ss. 65–78, 2018.
ISNAD Aktürk, Cemal - Gülseçen, Sevinç. “Sipariş Teslim Tarihi Problemi İçin Çok Kriterli Ve Çok Yöntemli Karar Destek Sistemi Önerisi”. İstanbul Üniversitesi İşletme Fakültesi İşletme İktisadı Enstitüsü Yönetim Dergisi 29/84 (Temmuz 2018), 65-78.
JAMA Aktürk C, Gülseçen S. Sipariş Teslim Tarihi Problemi İçin Çok Kriterli ve Çok Yöntemli Karar Destek Sistemi Önerisi. İstanbul Üniversitesi İşletme Fakültesi İşletme İktisadı Enstitüsü Yönetim Dergisi. 2018;29:65–78.
MLA Aktürk, Cemal ve Sevinç Gülseçen. “Sipariş Teslim Tarihi Problemi İçin Çok Kriterli Ve Çok Yöntemli Karar Destek Sistemi Önerisi”. İstanbul Üniversitesi İşletme Fakültesi İşletme İktisadı Enstitüsü Yönetim Dergisi, c. 29, sy. 84, 2018, ss. 65-78.
Vancouver Aktürk C, Gülseçen S. Sipariş Teslim Tarihi Problemi İçin Çok Kriterli ve Çok Yöntemli Karar Destek Sistemi Önerisi. İstanbul Üniversitesi İşletme Fakültesi İşletme İktisadı Enstitüsü Yönetim Dergisi. 2018;29(84):65-78.