Agarwal, A., Shankar, R., & Tiwari, M.K. (2006). Modeling the metrics of lean, agile and leagile
supply chain: An ANP-based approach. European Journal of Operational Research, 173(1),
211-225. http://dx.doi.org/10.1016/j.ejor.2004.12.005
Balkhi, Z.T., & Benkherouf, L. (2004). On an inventory model for deteriorating items with stock
dependent and time-varying demand rates. Computers and Operations Research, 31(2),
223-240. http://dx.doi.org/10.1016/S0305-0548(02)00182-X
Baten, A., & Kamil, A.A. (2009). Analysis of inventory-production systems with Weibull
distributed deterioration. International Journal of Physical Sciences, 4(11), 676-682.
http://dx.doi.org/10.1016/j.ijps. ED8434F19782
Ben Naylor, J., Naim, M.M., & Berry, D. (1999). Leagility: integrating the lean and agile
manufacturing paradigms in the total supply chain. International Journal of production
economics, 62(1), 107-118. http://dx.doi.org/10.1016/S0925-5273(98)00223-0
Benhadid, Y., Tadj, L., & Bounkhel, M. (2008). Optimal control of production inventory systems
with deteriorating items and dynamic costs. Applied Mathematics E-Notes, 8, 194-202.
http://dx.doi.org/10.1016/j.amen.2008.07.031
Cheng, M., & Wang, G. (2009). A note on the inventory model for deteriorating items with
trapezoidal type demand rate. Computers & Industrial Engineering, 56(4), 1296-1300.
http://dx.doi.org/10.1016/j.cie.2008.07.020
Choi. J., Realff, M.J., & Lee, J.H. (2005). Stochastic Dynamic Programming with Localized Costto-
go Approximators: Application to large scale supply chain management under demand
uncertainty. Chemical Engineering Research and Design, 83(6), 752-758.
http://dx.doi.org/10.1205/cherd.04375
Emamverdi, G.A., Karimi, M.S., & Shafiee, M. (2011). Application of Optimal Control Theory to
Adjust the Production Rate of Deteriorating Inventory System (Case Study: Dineh Iran Co.).
Middle-East Journal of Scientific Research, 10(4), 526-531. http://dx.doi.org/10.1016/j.mesr.10.27.02
Ghare, P.M., & Schrader, G.F. (1963). A model for exponentially decaying inventory. Journal of
Industrial Engineering, 14(5), 238-243.
Gupta, D., & Benjaafar, S. (2004). Make-to-order, make-to-stock, or delay product
differentiation? A common framework for modeling and analysis. IIE transactions, 36(6),
529-546. http://dx.doi.org/10.1080/07408170490438519
Hoekstra, S., Romme, J., & Argelo, S.M. (1992). Integral Logistic Structures: Developing
Customer-Oriented Goods Flow. New York: McGraw-Hill Book Co Ltd.
Hsu, P.H., Wee, H.M., & Teng, H.M. (2007). Optimal ordering decision for deteriorating items
with expiration date and uncertain lead-time. Computers and Industrial Engineering, 52(4),
448-458. http://dx.doi.org/10.1016/j.cie.2007.02.002
Jeong, I.J. (2011). A dynamic model for the optimization of decoupling point and production
planning in a supply chain. International Journal of Production Economics, 131(2), 561-567.
http://dx.doi.org/10.1016/j.ijpe.2011.02.001
Kamien, M.I., & Schwartz, N.L. (2012). Dynamic optimization: the calculus of variations and
optimal control in economics and management. New York: Courier Dover Publications.\
Li, R., Lan, H., & Mawhinney, J.R. (2010). A review on deteriorating inventory study. Journal of
Service Science and Management, 3(1), 117. http://dx.doi.org/10.4236/jssm.2010.31015
Olhager, J. (2003). Strategic positioning of the order penetration point. International Journal of
Production Economics, 85(3), 319-329. http://dx.doi.org/10.1016/S0925-5273(03)00119-1
Pontryagin, L.S. (1987). Mathematical Theory of Optimal Processes. Florida: CRC Press.
Porter, B., & Taylor, F. (1972). Modal control of production-inventory systems. International
Journal of Systems Science, 3(3), 325-331. http://dx.doi.org/10.1080/00207727208920270
Riddalls, C.E., & Bennett, S. (2001). The optimal control of batched production and its effect
on demand amplification. International Journal of Production Economics, 72(2), 159-168.
http://dx.doi.org/10.1016/S0925-5273(00)00092-X
Sarkar, B. (2013). A production-inventory model with probabilistic deterioration in two-echelon
supply chain management. Applied Mathematical Modeling, 37, 3138-3151.
http://dx.doi.org/10.1016/j.apm.2012.07.026
Soman, C.A., Van Donk, D.P., & Gaalman, G. (2004). Combined make-to-order and
make-to-stock in a food production system. International Journal of Production Economics,
90(2), 223-235. http://dx.doi.org/10.1016/S0925-5273(02)00376-6
Van Donk, D.P. (2001). Make to stock or make to order: The decoupling point in the food
processing industries. International Journal of Production Economics, 69, 297-306.
http://dx.doi.org/10.1016/S0925-5273(00)00035-9
Viswanadham, N., & Raghavan, N.R.S. (2000). Performance analysis and design of supply
chains: a Petri net approach. Journal of the Operational Research Society, 51, 1158–1169.
http://dx.doi.org/10.2307/253928
Wang, K.J., Lin Y.S., & Yu J.C.P. (2011). Optimizing inventory policy for products with timesensitive
deteriorating rates in a multi-echelon supply chain. International Journal of
Production Economics, 130, 66–76. http://dx.doi.org/10.1016/j.ijpe.2010.11.009
Thank you for copying data from http://www.arastirmax.com