21 research outputs found
Modelling Pricing Policy Based on Shelf-Life of Non Homogeneous Available-To-Promise in Fruit Supply Chains
[EN] Fruit Supply Chains (SCs) are influenced by uncontrollable natural
factors causing heterogeneity in their products, as regards certain attributes that
are relevant to customers and vary over time because of the shelf-life. As a
consequence customers should be served not only with the required quantity and
due date as usual, but also with the quality, freshness and homogeneity specified
in their orders. The order promising process (OPP) is based on the uncommitted
availability of homogeneous product quantities in planned lots (ATP) that are
uncertain. Therefore, there is a risk of not being reliable in the commitments
because of discrepancies between the real and planned homogeneous quantities.
Furthermore, due to the shelf-life (SL), serving customers with the freshest
product introduce the risk of increasing waste because of the aging process. To
efficiently manage these risks, this work proposes a mathematical model for
handling the heterogeneous ATP in fruit SCs and a pricing policy based on the
product SL in the moment of delivery. In order to illustrate the application of the
modelling approach, a short numerical example is introduced. The example
evidences a conflictive situation when optimizing the assignation of homogeneous
ATP between serving orders with fresh and more valuable product, what
could lead to increase the risk of having waste because of expiration, and
consequently, more costs and less profit.This research has been supported by the Ministry of Science, Technology and Telecommunications, government of Costa Rica (MICITT), through the program of innovation and human capital for competitiveness (PINN) (PED-019-2015-1).Grillo-Espinoza, H.; Alemany Díaz, MDM.; Ortiz Bas, Á. (2016). Modelling Pricing Policy Based on Shelf-Life of Non Homogeneous Available-To-Promise in Fruit Supply Chains. IFIP Advances in Information and Communication Technology. 480:608-617. https://doi.org/10.1007/978-3-319-45390-3_52S608617480Alarcon, F., Alemany, M.M.E., Lario, F.C., Oltra, R.F.: The lack of homogeneity in the product (LHP) in the ceramic tile industry and its impact on the reallocation of inventories. Boletin Soc. Espanola Ceram. Vidr. 50, 49–57 (2011). doi: 10.3989/cyv.072011Alemany, M.M.E., Grillo, H., Ortiz, A., Fuertes-Miquel, V.S.: A fuzzy model for shortage planning under uncertainty due to lack of homogeneity in planned production lots. Appl. Math. Model. (2015). doi: 10.1016/j.apm.2014.12.057Alemany, M.M.E., Lario, F.-C., Ortiz, A., Gomez, F.: Available-To-Promise modeling for multi-plant manufacturing characterized by lack of homogeneity in the product: an illustration of a ceramic case. Appl. Math. Model. 37, 3380–3398 (2013). doi: 10.1016/j.apm.2012.07.022Blanco, A.M., Masini, G., Petracci, N., Bandoni, J.A.: Operations management of a packaging plant in the fruit industry. J. Food Eng. 70, 299–307 (2005). doi: 10.1016/j.jfoodeng.2004.05.075Grillo, H., Alemany, M.M.E., Ortiz, A.: A review of mathematical models for supporting the order promising process under Lack of Homogeneity in Product and other sources of uncertainty. Comput. Ind. Eng. 91, 239–261 (2016)Kilic, O.A., van Donk, D.P., Wijngaard, J., Tarim, S.A.: Order acceptance in food processing systems with random raw material requirements. Spectrum 32, 905–925 (2010). doi: 10.1007/s00291-010-0213-4Lin, J.T., Hong, I.H., Wu, C.H., Wang, K.S.: A model for batch available-to-promise in order fulfillment processes for TFT-LCD production chains. Comput. Ind. Eng. 59, 720–729 (2010). doi: 10.1016/j.cie.2010.07.026Maihami, R., Karimi, B.: Optimizing the pricing and replenishment policy for non-instantaneous deteriorating items with stochastic demand and promotional efforts. Comput. Oper. Res. 51, 302–312 (2014). doi: 10.1016/j.cor.2014.05.022Mundi, M.I., Alemany, M.M.E., Poler, R., Fuertes-Miquel, V.S.: Fuzzy sets to model master production effectively in Make to Stock companies with Lack of Homogeneity in the Product. Fuzzy Sets Syst. 293, 95–112 (2016). http://dx.doi.org/10.1016/j.fss.2015.06.009Tsao, Y.-C., Sheen, G.-J.: Dynamic pricing, promotion and replenishment policies for a deteriorating item under permissible delay in payments. Part Spec. Issue Top. Real-Time Supply Chain Manag. 35, 3562–3580 (2008). doi: 10.1016/j.cor.2007.01.02
Combining the Inventory Control Policy with Pricing and Advertisement Decisions for a Non-instantaneous Deteriorating Product
Part 3: Production Management Theory and MethodologyInternational audienceA non-instantaneous deteriorating item refers to the product that its deterioration starts after a specific period time rather than starting instantly of its arrival in stock. In this paper, we study the inventory control policy for a non-instantaneous deteriorating item subject to pricing and advertising decisions. The demand function is price- and- time-dependent and shortage is allowed and partially backlogged. The retailer aims to maximize its total profit determining the optimal selling price and inventory control variables. We formulate the proposed model and develop an algorithm to indicate the optimal solution. Finally, we extend a numerical example with discussion to show the efficiency of the proposed model