Model Konseptual Customer Order Decoupling Point pada Agroindustri Udang

Lely Herlina(1*), M. Machfud(2), Elisa Anggraeni(3), S. Sukardi(4),

(1) Universitas Sultan Ageng Tirtayasa
(2) Jurusan Teknologi Industri Pertanian Institut Pertanian Bogor
(3) Jurusan Teknologi Industri Pertanian Institut Pertanian Bogor
(4) Jurusan Teknologi Industri Pertanian Institut Pertanian Bogor
(*) Corresponding Author
DOI: https://doi.org/10.23917/jiti.v17i2.6663

Abstract

Shrimp agro-industry is one of the food processing industries, which converts raw shrimp into high-value shrimp processed products. The production system used in shrimp agroindustry to respond market demand is a hybrid make to stock (MTS) and make to order (MTO). The decision to determine which products will be stored as supply sources and which products are made to fulfill orders is a critical decision that must be made on the MTS-MTO hybrid system. The concept of customer order decoupling point (CODP) is used to identify material flow points that connect a product with different consumers. This study aims to present a conceptual model in the MTS-MTO hibrid system based on customer order decoupling point (CODP) which is adjusted to product characteristics, production characteristics and market characteristics in the shrimp agroindustry. The results of the study are presented in a business process model template that describes the order of decisions for storing products or making products to fulfill orders and conceptual models in the form of diagrams named the CODP conceptual model on shrimp agroindustry.

Keywords

shrimp agro-industry; customer order decoupling point; make to stock; make to order

References

Ghalehkhondabi, I.; Sormaz, D.; Weckman, G. (2016). “Multiple customer order decoupling points within a hybrid MTS/MTO manufacturing supply chain with uncertain demands in two consecutive eshelons”. Opsearch. Vol. 53 (4), 976-997. doi:10.1007/s12597-016-0265-6.

Jimenez, I.D.G.; Arango, R.H.; Sarache, W. (2017). “Multicriteria methodology for decoupling point placement in manufacturing systems”. Ingeniería y Desarrollo. Vol. 35 (1), 102-131.

Kalantari, M.; Rabbani, M.; Ebadian, M. (2011). “A decision support system for order acceptance/rejection in hybrid MTS-MTO production systems". Applied Mathematical Modelling. Vol. 35 (3), 1363-1377.

Liu, W.; Mo, Y.; Yang, Y.; Ye, Z. (2015). “Decision model of customer order decoupling point on multiple customer demands in logistics service supply chain”. Production Planning and Control. Vol. 26(3), 178-202.

Olhager, J. (2003). “Strategic positioning of the order penetration point”. International Journal Production Economics. Vol. 85, 319-329.

Olhager, J. (2010). “The role of the customer order decoupling point in production and supply chain management”. Computer in Industry. Vol. 61, 863-868.

Olhager, J. (2012). “The role of decoupling points in value chain management”. in Modellling Value, Jodlbauer, et al. (eds.). DOI 10.1007/978-3-7908-2747-7_2.

Pathhumnakul, S.; Piewthongngam, K.; Khamjan, S. (2009). “Integrating a shrimp-growth funtions, farming skills information, and supply allocation algorithm to manage the shrimp supply chain”. Computers and Electronics in Agriculture. Vol. 66, 93-105.

Rafiei, H.; Rabbani, M. (2014). “Hybrid MTS/MTO order partitioning framework based upon fuzzy analytical network process”. Applied Soft Computing. Vol. 19, 312-321.

Sun, X.Y.; Ji, P.; Sun, L.Y.; Wang, Y.L. (2008). “Positioning multiple decoupling point in a supply network”. International of Production Economics, Vol. 113, 943-956.

Van Donk, D.P.; Van Doorne, R. (2016). “The impact of the customer order decoupling point on type and level of supply chain integration”. International Journal of Production Research. Vol. 54(9), 2572-2584.

Verdouw, C.N.; Beulens, A.J.M.; Trienekens, J.H.; Wolfert, J. (2010). “Process modelling in demand-driven supply chains: a reference model for fruit industry”. Computer and Electronics in Agriculture. Vol. 73, 174-187.

Wang, F.Y.; Xu, L.; Lim, R.; Lee, E.W.; Zarzyeki, M. (2011). “Simulation-based operational decision analysis at decoupling point in MTS-MTO system”. Prosiding Industrial Engineering and Engineering Management 2011. IEEE International Conference. Singapore. 6–9 Desember 2011. DOI 10.1109/IEEM.2011.6117878.

Wikner, J.; Rudberg, M.(2014). “Introducing a customer order decoupling zone in logistics decision-making”. International Jounal of Logistics: Research and Applications. Vol. 8(3), 211-224.

Wikner, J.; Naim, M.M.; Spiegler, V.L.M.; Lin, J. (2017). “IOBPCS based models and decoupling thinking”. International Journal of Production Economics. Vol. 194 (C), 153-166. DOI 10.1016/j.ijpe.2017.05.009.

Zhou, L.; Li, M. (2014). “Location of customer order decoupling point in the supply chain of deteriorated food based on dynamic model”. Advance Journal of Food Science and technology. Vol. 62 (2), 254-258.

Article Metrics

Abstract view(s): 1750 time(s)
PDF (Bahasa Indonesia): 1237 time(s)

Refbacks

  • There are currently no refbacks.