Delivery Date Problem and An Innovative Decision Model Proposal

Yıl 2017, , 103 - 119, 09.12.2017

Cemal Aktürk , Sevinç Gülseçen

https://doi.org/10.31006/gipad.338360

Öz

Determining the
delivery date of the products in the make-to-order firms has a vital importance
in terms of profitability of the firm and customer satisfaction. Because
customers must be satisfied with both the product price and the delivery date
when approving an order. Early delivery deadlines can cause accumulation of the
production schedule, and the late delivery dates lead to lose orders and
customers. In this study, the solution offers for the delivery date problem of
the make-to-order production environment is examined. By taking a long hard
look at the previous researches, an innovative linear decision model has been
used to propose a solution to the delivery date problem.

Anahtar Kelimeler

Make to Order, Delivery Date, Order Ranking

Teslim Tarihi Problemi ve İnovatif Bir Karar Modeli Önerisi

Öz

Siparişe üretim yapan firmalarda ürünlerin
teslim tarihinin belirlenmesi, firmanın karlılığı ve müşteri memnuniyeti
açısından oldukça hayati öneme sahiptir. Çünkü, müşteriler bir siparişi
onaylarken hem ürünün fiyatından hem de teslim tarihinden memnun olmalıdır. Erken
verilecek teslim tarihleri üretim programında yığılmalara neden olabilir ve geç
teslim tarihleri sipariş ve müşteri kaybına sebep olmaktadır. Bu çalışmada,
siparişe üretim ortamı için teslim tarihi problemine getirilen çözüm önerileri
araştırılmıştır. Yapılan önceki araştırmalar kapsamlı bir şekilde incelenerek
teslim tarihi problemine çözüm önerisi olacak inovatif bir doğrusal karar
modeli önerilmiştir.

Anahtar Kelimeler

Siparişe Üretim, Teslim Tarihi, Sipariş Sıralama

Kaynakça

• Aspvall, B., Flåm, S. D., & Villanger, K. P. (1995). Selecting among scheduled projects. Operations research letters, 17(1), 37-40.
• Carr, S., & Duenyas, I. (2000). Optimal admission control and sequencing in a make-to-stock/make-to-order production system. Operations research, 48(5), 709-720.
• Charnsirisakskul, K., Griffin, P. M., & Keskinocak, P. (2004). Order selection and scheduling with leadtime flexibility. IIE transactions, 36(7), 697-707.
• Charnsirisakskul, K., Griffin, P. M., & Keskinocak, P. (2006). Pricing and scheduling decisions with leadtime flexibility. European Journal of Operational Research, 171(1), 153-169.
• 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.
• Chen, C. S., Mestry, S., Damodaran, P., & Wang, C. (2009). The capacity planning problem in make-to-order enterprises. Mathematical and computer modelling, 50(9), 1461-1473.
• Conway, R. W., Maxwell, W. L., & Miller, L. W. (1967). Theory of scheduling. Courier Corporation.
• Deng, H., Wang, Q., Leong, G. K., & Sun, S. X. (2008). The usage of opportunity cost to maximize performance in revenue management. Decision Sciences, 39(4), 737-758.
• Duenyas, I. (1995). Single facility due date setting with multiple customer classes. Management Science, 41(4), 608-619.
• Duenyas, I., & Hopp, W. J. (1995). Quoting customer lead times. Management Science, 41(1), 43-57.
• Easton, F. F., & Moodie, D. R. (1999). Pricing and lead time decisions for make-to-order firms with contingent orders.
• European Journal of operational research, 116(2), 305-318.
• 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.
• Germs, R., & van Foreest, N. D. (2013). Order acceptance and scheduling policies for a make-to-order environment with family-dependent lead and batch setup times. International Journal of Production Research, 51(3), 940-951.
• Gharehgozli, A. H., Rabbani, M., Zaerpour, N., & Razmi, J. (2008). A comprehensive decision-making structure for acceptance/rejection of incoming orders in make-to-order environments. The International Journal of Advanced Manufacturing Technology, 39(9-10), 1016-1032.
• Gordon, V. S., & Strusevich, V. A. (2009). Single machine scheduling and due date assignment with positionally dependent processing times. European Journal of Operational Research, 198(1), 57-62.
• 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.
• Gupta, S. K., Kyparisis, J., & Ip, C. M. (1992). Note—Project selection and sequencing to maximize net present value of the total return. Management Science, 38(5), 751-752.
• Kaminsky, P., & Hochbaum, D. (2004). Due date quotation models and algorithms. Handbook of Scheduling: Algorithms, Models, and Performance Analysis, 1-34.
• Kalantari, M., Rabbani, M., & Ebadian, M. (2011). A decision support system for order acceptance/rejection in hybrid MTS/MTO production systems. Applied Mathematical Modelling, 35(3), 1363-1377.
• 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.
• Lee, I. S., & Sung, C. S. (2008). Single machine scheduling with outsourcing allowed. International Journal of Production Economics, 111(2), 623-634.
• Leitch, R. A., Philipoom, P. R., & Fry, T. D. (2005). Opportunity costing decision heuristics for product acceptance decisions. Journal of Management Accounting Research, 17(1), 95-117.
• Lewis, H. F., & Slotnick, S. A. (2002). Multi-period job selection: planning work loads to maximize profit. Computers & Operations Research, 29(8), 1081-1098.
• Lu, L., Liu, Z., & Qi, X. (2013). Coordinated price quotation and production scheduling for uncertain order inquiries. IIE transactions, 45(12), 1293-1308.
• 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.
• Moodie, D. R. (1999). Demand management: The evaluation of price and due date negotiation strategies using simulation. Production and Operations Management, 8(2), 151.
• Nandi, A., & Rogers, P. (2004). Using simulation to make order acceptance/rejection decisions. Simulation, 80(3), 131-142.
• Nobibon, F. T., & Leus, R. (2011). Exact algorithms for a generalization of the order acceptance and scheduling problem in a single-machine environment. Computers & Operations Research, 38(1), 367-378.
• Oğuz, C., Salman, F. S., & Yalçın, Z. B. (2010). Order acceptance and scheduling decisions in make-to-order systems. International Journal of Production Economics, 125(1), 200-211.
• Patil, R. J. (2010). Due date management to improve customer satisfaction and profitability. International Journal of Logistics: Research and Applications, 13(4), 273-289.
• Pibernik, R., & Yadav, P. (2008). Dynamic capacity reservation and due date quoting in a make‐to‐order system. Naval Research Logistics (NRL), 55(7), 593-611.
• 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.
• Philipoom, P. R., & Fry, T. D. (1999). Order review/release in the absence of adherence to formal scheduling policies. Journal of Operations Management, 17(3), 327-342.
• Raaymakers, W. H., Bertrand, J. W. M., & Fransoo, J. C. (2000). The performance of workload rules for order acceptance in batch chemical manufacturing. Journal of Intelligent Manufacturing, 11(2), 217-228.
• Rom, W. O., & Slotnick, S. A. (2009). Order acceptance using genetic algorithms. Computers & Operations Research, 36(6), 1758-1767.
• Senju, S., & Toyoda, Y. (1968). An approach to linear programming with 0-1 variables. Management Science, B196-B207.
• Slotnick, S. A., & Morton, T. E. (2007). Order acceptance with weighted tardiness. Computers & Operations Research, 34(10), 3029-3042.
• Snoek, M. (2000, November). Neuro-genetic order acceptance in a job shop setting. In Proceedings of the 7th International Conference on Neural Information Processing (pp. 815-819).
• Foreest, N. D., Wijngaard, J., & Van Der Vaart, T. (2010). Scheduling and order acceptance for the customised stochastic lot scheduling problem. International Journal of Production Research, 48(12), 3561-3578.
• VIG, M,M. and DOOLEY, K. J., 1991, Dynamic rules for due-date assignment. International Journal of Production Research, 29, 1361± 1377.
• 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.
• Yang, B., & Geunes, J. (2007). A single resource scheduling problem with job-selection flexibility, tardiness costs and controllable processing times. Computers & Industrial Engineering, 53(3), 420-432.
• Yoon, S. W., & Nof, S. Y. (2011). Cooperative production switchover coordination for the real-time order acceptance decision. International Journal of Production Research, 49(6), 1813-1826.
• 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.