Two easy and improved algorithms are proposed which simplify and complement the research works of [1-2].
📌 3 Maddede Bu Makale
🎯
Amaç & Hipotez:Recently, in Mathematical and Computational Applications Journal Chiu et al. [1] and Chen and Chiu [2] propose an inventory model based on EPQ with rework to determine the replenishment lot size and the number of shipments for a vendor-buyer integrated production-inventory system.
📊
Temel Bulgular & Veri:In this direction, this paper revisits and solves the inventory problem of [1-2] considering the decision variables according to their nature.
💡
Sonuç & Katkı:Two easy and improved algorithms are proposed which simplify and complement the research works of [1-2].
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri
Abstract
Recently, in Mathematical and Computational Applications Journal Chiu et al. [1] and Chen and Chiu [2] propose an inventory model based on EPQ with rework to determine the replenishment lot size and the number of shipments for a vendor-buyer integrated production-inventory system. They solve the inventory problem by considering both variables as continuous. However, the number of shipments must be considered as discrete variable. In this direction, this paper revisits and solves the inventory problem of [1-2] considering the decision variables according to their nature. Two easy and improved algorithms are proposed which simplify and complement the research works of [1-2].
🔖
Bu Makaleye Atıf Yap
BARRÓN, L. E. C., SARKAR, B., GARZA, G. T. (2013). Easy and improved algorithms to joint determination of the replenishment lot size and number of shipments for an epq model with rework. Mathematical and Computational Applications, Cilt: 18 - Sayı: 2, 132–138. https://ajindex.com/articles/279854
S.W. Chiu, D.-C. Gong, C.-L. Chiu, and C.-L. Chung, Joint determination of the production lot size and number of shipments for EPQ model with rework, Mathematical and Computational Applications 16, (2), 317-328, 2011.
K.-K. Chen and S.W. Chiu, Replenishment lot size and number of shipments for EPQ model derived without derivatives, Mathematical and Computational Applications, Vol. 16, (3), 753-760, 2011.
F.W. Harris, How many parts to make at once, Factory, The Magazine of Management 10, 135-136 and 152, 1913.
E.W. Taft, The most economical production lot, Iron Age, 101, 1410-1412, 1918.
C.-K. Ting, Y.-S.P. Chiu, and C.-C.-H. Chan, Optimal lot sizing with scrap and random breakdown occurring in backorder replenishment period, Mathematical and Computational Applications 16 (2), 329-339, 2011.
S.W. Chiu, C.-B. Cheng, M.-F. Wu, and J.-C. Yang, An algebraic approach for determining the optimal lot size for EPQ model with rework process, Mathematical and Computational Applications 15 (3), 364-370, 2010.
Y.-C. Tsao, M.-Y. Wang, and P.-L. Lee, Effects of joint replenishment policy on company cost under permissible delay in payments, Mathematical and Computational Applications 15 (2), 248-258, 2010.
S.W. Chiu, K.-K. Chen and H.-H. Chang, Mathematical method for expediting scrap or rework decision making in EPQ model with failure in repair, Mathematical and Computational Applications 13 (3), 137-145, 2008.
Y.-F. Huang and K.-H. Hsu, Optimal retailers inventory policy under supplier credits linked to retailer payment time, Mathematical and Computational Applications 12 (2), 77-86, 2007.
I. Unver, On the inventory model with two delay barriers, Mathematical and Computational Applications 12 (3), 125-134, 2007.
Y.-S.P. Chiu, S.W. Chiu, and H.-D. Lin, Solving an EPQ model with rework and service level constraint, Mathematical and Computational Applications 11 (1), 75-84, 2006.
B. Sarkar and I. Moon, An EPQ model with inflation in an imperfect production system, Applied Mathematics and Computation 217 (13), 6159-6167, 2011.
B. Sarkar, S.S. Sana and K. Chaudhuri, An imperfect production process for time varying demand with inflation and time value of money An EMQ model, Expert Systems with Applications 38 (11), 13543-13548, 2011.
S.S. Sana, A productioninventory model in an imperfect production