Efficient heuristics for cost optimisation in multi stage supply chain network with a fixed transportation charge

Manimaran, P.; Selladurai, V.

doi:10.1504/ijsom.2014.061997

Cited by 2 publications

(2 citation statements)

References 48 publications

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“…The multi-stage approach is very important in cost optimization and investment management problems (Lau and Womersley, 2001). This approach is used to provide an optimal or near-optimal solution in a multi-stage supply chain network (Manimaran and Selladurai, 2014). The solution of the optimization task gives more realistic results and can be used in real foundry operations.…”

Section: Introductionmentioning

confidence: 99%

Multi-Stage optimization under uncertainty in reverse logistics operations: An industrial scenario

Das¹,

Ghosh²

2023

Int. J. Eng. Sci. Tech

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The major concern of reverse logistics operations involves reducing logistics costs, improving after sales service, waste disposal and providing good quality service in today's green environment. Process optimization involving uncertainty under reverse logistics set-up is a major challenge. There is a need to consider the dynamics of the real situation because of the variation of product/process characteristics to make the system more robust. A comparative analysis and the need for multi-stage optimization are illustrated here based on a single stage optimization model after performing its sensitivity analysis. Accordingly, a multi-stage optimization problem is formulated here to solve the cost optimization problem of charge mix under a reverse logistics set-up of a foundry business and to deal with the uncertainties involved in a practical business scenario. The proposed framework can be effectively implemented in a similar reverse logistics environment considering uncertainties of the process parameters/product characteristics.

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Section: Introductionmentioning

confidence: 99%

Multi-Stage optimization under uncertainty in reverse logistics operations: An industrial scenario

Das¹,

Ghosh²

2023

Int. J. Eng. Sci. Tech

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“…All these proposed models aimed at minimizing a total cost function, which is composed of production costs, shipping costs, and holding costs. Manimaran & Selladurai (2014) developed a mixed integer programming model, which aims to minimize the total distribution cost of the multi-stage SC network by selecting the optimum numbers, locations and capacities of plants and distribution centers to open in order to satisfy all customer demand. In considering total profit maximization, Alemany et al (2010) developed a deterministic mixed-integer linear programming, for multi-period centralized planning problem of SCs in the ceramic sector.…”

Section: Introductionmentioning

confidence: 99%

A multi-objective optimisation model for cooperative supply chain planning

Yahia

Cheikhrouhou

Ayadi

et al. 2017

IJSOM

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Generally, each member of a supply chain (SC) optimizes his own individual objective and accordingly, plans his activities (e.g. production operations, inventories) without considering a global perspective. The goal of this work is the development of a multiobjective optimization model for cooperative planning between different manufacturing plants belonging to the same SC. The model aims at minimizing simultaneously the total production cost and the average of inventory level for several items and over a multi-period horizon. To solve this problem, a non-dominated sorting elitist genetic algorithm (NSGA-II) is developed to derive the Pareto front solutions. Several tests are developed to show the performance of the solution method and the behavior of the cooperative planning model with respect to different demand patterns. The proposed model shows high performance in the tested cases with comparison to the literature.

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Efficient heuristics for cost optimisation in multi stage supply chain network with a fixed transportation charge

Cited by 2 publications

References 48 publications

Multi-Stage optimization under uncertainty in reverse logistics operations: An industrial scenario

Multi-Stage optimization under uncertainty in reverse logistics operations: An industrial scenario

A multi-objective optimisation model for cooperative supply chain planning

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