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Their hybrid solution approach iteratively applies simulation and LP to solve a multi-period multi-product production planning problem.
Mirzapour Al-e-hashem et al. (2011) proposed a multi-site, multi-period, multi-product aggregate production planning problem in a supply chain consisting of multiple suppliers, multiple plants and multiple customers under cost and demand uncertainty.
In this study, a supply chain involving multiple suppliers, manufacturers, distributors and customers and addressing a multi-objective, multi-period and multi-product aggregate procurement and production planning problem is considered.
This work develops a novel two-stage fuzzy optimization method for solving the multi-product multi-period (MPMP) production planning problem, in which the market demands and some of the inventory costs are assumed to be uncertainty and characterized by fuzzy variables with known possibility distributions.
Sox and Muckstadt (1996) proposed a model and an approximate method of solving for the multi-product and multi-level production planning problem with finite horizon, capacity constraints and random demand.
This work is trying to solve a production planning problem in a manufacturing factory where multiple products are produced simultaneously from different classes of raw material.
Similar(33)
This paper considers a new class of multi-product source and multi-period fuzzy random production planning problems with minimum risk and service levels where both the demands and the production costs are assumed to be uncertain and characterized as fuzzy random variables with known distributions.
It is proven that the partner selection problem is a type of earliness and tardiness production planning problems.
This paper presents a comprehensive multi-objective mixed integer mathematical programming model which considers cell formation and production planning problems simultaneously.
Working with the process and production planning problems it supposed a distributed information system integrating technological, financial, supply chain and manufacturing process data types.
Graves (2011) reviewed uncertain production planning problems.
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