چکیده:
Coordination of market decisions with other aspects of operations management such
as production and inventory decisions has long been a meticulous research issue in
supply chain management. Generally, changes to the original lot-sizing policy
stimulated by market prices may impose remarkable deviation revenue throughout
the supply and demand chain system. This paper examines how to set the channel
prices and the lot-sizing quantities so that the potential maximal return on
investment is gained under a differential pricing scenario involving a number of
possibilistic constraints to deal with market-segmented price setting, marketing and
lot-sizing decisions, concurrently. The model aims to maximize return on inventory
investment (ROII). To solve the model, a fuzzy solution approach based on the
novel credibility measure is developed. An efficient and tuned search procedure
using particle swarm optimization is tailored to reach the solutions of the resultant
non-linear crisp model. An illustrative example is also studied to demonstrate the
practicability of the proposed mathematical model and its solution approach
خلاصه ماشینی:
"Incorporating Return on Inventory Investment into Joint Lot-Sizing and Price Discriminating Decisions: A Fuzzy Chance Constraint Programming Model Reza Ghasemy Yaghin1, Seyed Mohammad T.
The Proposed Credibility-Based Fuzzy Optimization Model Recalling the previously resultant objective function and constraints, we are tackling a fuzzy non-linear programming model with possibilistic constraints (FNLPPC) in which some critical input parameters such as market demands, cannibalization rate in market segmentation and inventory costs are represented as fuzzy parameters in the form of possibility distributions.
(View the image of this page)RSM is a collection of mathematical and statistical techniques useful for the modeling and analysis of problems in which a response of interest (return on inventory investment) is influenced by several variables (PSO parameters), and the objective is to optimize this response (Montgomery, 2001).
(View the image of this page) Concluding Remarks To cope with the issue of uncertainty in integrated lot-sizing and price setting models, a fuzzy non-linear fractional model with possibilistic constraints was proposed in this paper.
The considered integrated lot- sizing and price setting models include both marketing and inventory decisions as well as return on inventory investment (ROII) maximizing concurrently to avoid the sub-optimalities resulting from the individual policies.
To the best of our knowledge, this work is one of the original research studies applying possibilistic programming approach for the fuzzy pricing and lot-sizing problem based on considering market segmentations under uncertainty through optimizing return on inventory investment and the literature considering this approach in JPLM is still scarce."