Yıl 2019, Cilt 7 , Sayı 1, Sayfalar 182 - 195 2019-03-25

BÜTÜNLEŞİK TEDARİK ZİNCİRİ ÇİZELGELEME MODELLERİ: BİR LİTERATÜR TARAMASI
INTEGRATED SUPPLY CHAIN SCHEDULING MODELS: A LITERATURE REVIEW

Zeynep CEYLAN [1] , Serol BULKAN [2] , Hakan TOZAN [3]


Bütünleşik Tedarik Zinciri Çizelgeleme (BTZÇ) üzerine yapılan araştırmalar nispeten yenidir ve bu konu üzerine yapılan çalışma sayısı artmaktadır. Bu çalışma, bu alandaki eksiklikleri tespit etmeye yardımcı olmak için BTZÇ modelleri hakkında kapsamlı bir literatür araştırması sunmaktadır. Bu amaçla, bu çalışmanın bu alanda çalışan araştırmacılara rehberlik etmesi açısından katkı sağlayacağı düşünülmektedir. Bu çalışmada, BTZÇ problemleri üzerine mevcut literatür gözden geçirilmiş ve yeni sınıflandırma şeması tanıtılarak çalışmalar özetlenmiştir. Çalışmalar; tek veya çoklu müşteri sayısı, sipariş büyüklüğü tipi (eşit veya genel), ürün ömrü (sınırlı veya sınırsız), araç karakteristikleri (sınırlı/yeterli ve homojen/heterojen), makine konfigürasyonları ve amaç fonksiyonu sayısı (tek veya çok amaçlı) gibi özellikler dikkate alınarak kategorize edildi. Ayrıca problemler için uygulanan matematiksel modellerin özellikleri ve çözüm yaklaşımları da tartışılmıştır.

Research on integration of supply chain and scheduling is relatively recent, and number of studies on this topic is increasing. This study provides a comprehensive literature survey about Integrated Supply Chain Scheduling (ISCS) models to help identify deficiencies in this area. For this purpose, it is thought that this study will contribute in terms of guiding researchers working in this field. In this study, existing literature on ISCS problems are reviewed and summarized by introducing the new classification scheme. The studies were categorized by considering the features such as the number of customers (single or multiple), product lifespan (limited or unlimited), order sizes (equal or general), vehicle characteristics (limited/sufficient and homogeneous/heterogeneous), machine configurations and number of objective function (single or multi objective). In addition, properties of mathematical models applied for problems and solution approaches are also discussed.

  • Abedi, M., & Seidgar, H. (2016). A new bi-level meta-heuristic approach for a single machine JIT-scheduling in the batch delivery system with controllable due dates. International Journal of Services and Operations Management, 23(2), 135-152.
  • Ahmadizar, F., & Farhadi, S. (2015). Single-machine batch delivery scheduling with job release dates, due windows and earliness, tardiness, holding and delivery costs. Computers & Operations Research, 53, 194-205.
  • 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.
  • Beheshtinia, M. A., Ghasemi, A., & Farokhnia, M. (2018). Supply chain scheduling and routing in multi-site manufacturing system (case study: a drug manufacturing company). Journal of Modelling in Management, 13(1), 27-49.
  • Çalışkan, E. (2014). Çabuk Bozulabilen Ürünlerde Bütünleşik Tedarik Zinciri Çizelgeleme Problemi için Karışık Tamsayılı Matematiksel Model ve Sezgisel Çözümü, (Doctoral dissertation, Gazi University).
  • Chen, Z. L. (2010). Integrated production and outbound distribution scheduling: review and extensions. Operations research, 58(1), 130-148.
  • Chen, Z. L., & Vairaktarakis, G. L. (2005). Integrated scheduling of production and distribution operations. Management Science, 51(4), 614-628.
  • Cheng, B., Pei, J., Li, K., & Pardalos, P. M. (2017). Integrated scheduling of production and distribution for manufacturers with parallel batching facilities. Optimization Letters, 1-15.
  • Devapriya, P. (2008). Optimal fleet size of an integrated production and distribution scheduling problem for a single perishable product (Doctoral dissertation, Clemson University).
  • Devapriya, P., Ferrell, W., & Geismar, N. (2017). Integrated production and distribution scheduling with a perishable product. European Journal of Operational Research, 259(3), 906-916.
  • Fan, J., Lu, X., & Liu, P. (2015). Integrated scheduling of production and delivery on a single machine with availability constraint. Theoretical Computer Science, 562, 581-589.
  • Gao, S., Qi, L., & Lei, L. (2015). Integrated batch production and distribution scheduling with limited vehicle capacity. International Journal of Production Economics, 160, 13-25.
  • Gharaei, A., & Jolai, F. (2018). A multi-agent approach to the integrated production scheduling and distribution problem in multi-factory supply chain. Applied Soft Computing.
  • Hall, N. G., & Potts, C. N. (2003). Supply chain scheduling: Batching and delivery. Operations Research, 51(4), 566-584.
  • Hamidinia, A., Khakabimamaghani, S., Mazdeh, M. M., & Jafari, M. (2012). A genetic algorithm for minimizing total tardiness/earliness of weighted jobs in a batched delivery system. Computers & Industrial Engineering, 62(1), 29-38.
  • Hassanzadeh, A., Rasti-Barzoki, M., & Khosroshahi, H. (2016). Two new meta-heuristics for a bi-objective supply chain scheduling problem in flow-shop environment. Applied Soft Computing, 49, 335-351.
  • Joo, C. M., & Kim, B. S. (2017). Rule-based meta-heuristics for integrated scheduling of unrelated parallel machines, batches, and heterogeneous delivery trucks. Applied Soft Computing, 53, 457-476.
  • Kang, H. Y., Pearn, W. L., Chung, I. P., & Lee, A. H. (2016). An enhanced model for the integrated production and transportation problem in a multiple vehicles environment. Soft Computing, 20(4), 1415-1435.
  • Karaoğlan, İ., & Kesen, S. E. (2017). The coordinated production and transportation scheduling problem with a time-sensitive product: a branch-and-cut algorithm. International Journal of Production Research, 55(2), 536-557.
  • Kazemi, H., Mazdeh, M. M., & Rostami, M. (2017). The two stage assembly flow-shop scheduling problem with batching and delivery. Engineering Applications of Artificial Intelligence, 63, 98-107.
  • Lacomme, P., Moukrim, A., Quilliot, A., & Vinot, M. (2018). Supply chain optimisation with both production and transportation integration: multiple vehicles for a single perishable product. International Journal of Production Research, 1-24.
  • Lawrence, K. D., Klimberg, R. K., & Miori, V. M. (Eds.). (2010). The Supply Chain in Manufacturing, Distribution, and Transportation: Modeling, Optimization, and Applications. CRC press.
  • Lee, J., Kim, B. I., Johnson, A. L., & Lee, K. (2014). The nuclear medicine production and delivery problem. European Journal of Operational Research, 236(2), 461-472.
  • Lin, B. M. T., & Jeng, A. A. K. (2004). Parallel-machine batch scheduling to minimize the maximum lateness and the number of tardy jobs. International Journal of Production Economics, 91(2), 121-134.
  • Mahdavi Mazdeh, M., Hamidinia, A., & Karamouzian, A. (2011). A mathematical model for weighted tardy jobs scheduling problem with a batched delivery system. International Journal of Industrial Engineering Computations, 2(3), 491-498.
  • Marandi, F. (2017). A new approach in graph-based integrated production and distribution scheduling for perishable products. Journal of Quality Engineering and Production Optimization, 2(1), 65-76.
  • Mazdeh, M. M., & Rostami, M. (2014). A branch-and-bound algorithm for two-machine flow-shop scheduling problems with batch delivery costs. International Journal of Systems Science: Operations & Logistics, 1(2), 94-104.
  • Mazdeh, M. M., Haddadm, H., & Ghanbari, P. (2012). Solving a single machine stochastic scheduling problem using a branch and bound algorithm and simulated annealing. International Journal of Management Science and Engineering Management, 7(2), 110-118.
  • Noroozi, A., Mazdeh, M. M., Heydari, M., & Rasti-Barzoki, M. (2018). Coordinating order acceptance and integrated production-distribution scheduling with batch delivery considering Third Party Logistics distribution. Journal of Manufacturing Systems, 46, 29-45.
  • Noroozi, A., Mazdeh, M. M., Noghondarian, K., Rasti-Barzoki, M., & Heydari, M. (2017). Evolutionary computation algorithms to coordinating order acceptance and batch delivery for an integrated supply chain scheduling. Computational and Applied Mathematics, 1-51.
  • Pei, J., Liu, X., Pardalos, P. M., Fan, W., Yang, S., & Wang, L. (2014). Application of an effective modified gravitational search algorithm for the coordinated scheduling problem in a two-stage supply chain. The International Journal of Advanced Manufacturing Technology, 70(1-4), 335-348.
  • Pirim, H., Al-Turki, U., & Yilbas, B. S. (2014). Supply Chain Management and Optimization in Manufacturing. Springer.
  • Rafiei, H., Safaei, F., & Rabbani, M. (2018). Integrated Production-Distribution Planning Problem in a Competition-Based Four-Echelon Supply Chain. Computers & Industrial Engineering.
  • Rasti-Barzoki, M., & Hejazi, S. R. (2013). Minimizing the weighted number of tardy jobs with due date assignment and capacity-constrained deliveries for multiple customers in supply chains. European Journal of Operational Research, 228(2), 345-357.
  • Rostami, M., Kheirandish, O., & Ansari, N. (2015). Minimizing maximum tardiness and delivery costs with batch delivery and job release times. Applied Mathematical Modelling, 39(16), 4909-4927.
  • Rostami, M., Nikravesh, S., & Shahin, M. Minimizing total weighted completion and batch delivery times with machine deterioration and learning effect: a case study from wax production. Operational Research, 1-33.
  • Sağlam, Ü., & Banerjee, A. (2018). Integrated multiproduct batch production and truck shipment scheduling under different shipping policies. Omega, 74, 70-81.
  • Stecke, K. E., & Zhao, X. (2007). Production and transportation integration for a make-to-order manufacturing company with a commit-to-delivery business mode. Manufacturing & Service Operations Management, 9(2), 206-224.
  • Steiner, G., & Zhang, R. (2009). Approximation algorithms for minimizing the total weighted number of late jobs with late deliveries in two-level supply chains. Journal of Scheduling, 12(6), 565.
  • Ullrich, C. A. (2013). Integrated machine scheduling and vehicle routing with time windows. European Journal of Operational Research, 227(1), 152-165.
  • Viergutz, C., & Knust, S. (2014). Integrated production and distribution scheduling with lifespan constraints. Annals of Operations Research, 213(1), 293-318.
  • Wang, D. Y., Grunder, O., & Moudni, A. E. (2014). Integrated scheduling of production and distribution operations: a review. International Journal of Industrial and Systems Engineering, 19(1), 94-122.
  • Wang, G., & Cheng, T. E. (2000). Parallel machine scheduling with batch delivery costs. International Journal of Production Economics, 68(2), 177-183.
  • Wang, Q., Batta, R., & Szczerba, R. J. (2005). Sequencing the processing of incoming mail to match an outbound truck delivery schedule. Computers & operations research, 32(7), 1777-1791.
  • Yılmaz, Ö. F., & Pardalos, P. M. (2017). Minimizing average lead time for the coordinated scheduling problem in a two-stage supply chain with multiple customers and multiple manufacturers. Computers & Industrial Engineering, 114, 244-257.
Birincil Dil en
Konular Endüstri Mühendisliği
Bölüm Derleme Makaleler \ Review Articles
Yazarlar

Orcid: 0000-0002-3006-9768
Yazar: Zeynep CEYLAN (Sorumlu Yazar)
Ülke: Turkey


Orcid: 0000-0002-4815-4389
Yazar: Serol BULKAN

Orcid: 0000-0002-0479-6937
Yazar: Hakan TOZAN

Tarihler

Başvuru Tarihi : 11 Nisan 2018
Kabul Tarihi : 4 Aralık 2018
Yayımlanma Tarihi : 25 Mart 2019

APA Ceylan, Z , Bulkan, S , Tozan, H . (2019). INTEGRATED SUPPLY CHAIN SCHEDULING MODELS: A LITERATURE REVIEW . Mühendislik Bilimleri ve Tasarım Dergisi , 7 (1) , 182-195 . DOI: 10.21923/jesd.414551